Jurnal Ilmiah Universitas Batanghari Jambi
JOURNAL DESCRIPTION Journal Title : Jurnal Ilmiah Universitas Batanghari Jambi Initials : JIUBJ Frequency : February, July and October DOI : 10.33087/jiubj Online ISSN : 2549-4236 Print ISSN : 1411-8939 Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Batanghari Editor in Chief : Denny Asmas, SE, M.Si Acreditation : Sinta 5 ABOUT JOURNAL Jurnal Ilmiah Universitas Batanghari Jambi adalah peer-review jurnal akses terbuka yang bertujuan untuk berbagi dan diskusi mengenai isu dan hasil penelitian yang lagi hangat pada saat ini. Jurnal ini diterbitkan oleh Lembaga Penelitian dan Pengabdian pada Masyarakat Universitas Batanghari Jambi, Jurnal ini mencakup multidisiplin ilmu, terbit sebanyak tiga kali dalam setahun yaitu pada bulan Februari, Juli dan Oktober. Jurnal ini mempublikasikan artikel hasil penelitian, dan artikel yang masuk hendaknya bukan hasil plagiat dan belum dipublikasikan di tempat lain. Artikel akan di review oleh reviewer dan hasilnya akan dikomunikasikan kepada penulis. Fokus dan Ruang Lingkup Jurnal Ilmiah Universitas Batanghari Jambi seperti: Matematika dan Ilmu Pengetahuan Alam (MIPA) Ilmu Tanaman Ilmu Hewani Ilmu Kedokteran Ilmu Kesehatan Ilmu Teknik Ilmu Bahasa Ilmu Ekonomi Ilmu Sosial Humaniora Agama dan Filsafat Seni, Desain dan Media Ilmu Pendidikan Note: Dikarenakan No Hp Ibu Fiteri bermasalah maka komfirmasi submit di alihkan ke No Hp Editor an. Denny Asmas (081275555866)
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Analisis Kinerja Sistem Pengendali Kursi Roda Elektrik Berbasis Pulse Width Modulation (PWM) terhadap Variasi Beban dan Evaluasi Penggunaan Energi
The aim of this research is to determine the effect of different PWM values on speed, current, power, and energy consumption of the wheelchair under various loads. The system was developed using an Arduino Uno as the main controller, a joystick for direction and speed control, an ultrasonic sensor to detect obstacles, and DC motors as the actuators. Tests were conducted with load variations ranging from 40 kg to 80 kg and PWM values from 40 to 120. The test results show that as the PWM value increases, the wheelchair’s speed also increases, but energy consumption rises accordingly. However, within the PWM range of 80 to 100, the system operates most efficiently since energy consumption does not increase significantly compared to the gain in speed. Based on these findings, the PWM-based electric wheelchair control system is considered effective, efficient, and stable under varying load conditions, making it a promising approach for the design of energy-efficient automatic wheelchairs.
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Tindakan Hukum terhadap Pelaku Lesbian, Gay, Biseksual, dan Transgender di Wilayah Kota Jambi
This study aims to determine the legal prohibitions and obstacles faced in prosecuting LGBT perpetrators in Jambi City. This research is an empirical legal research aimed at finding solutions to problems arising within the context of the relevant legal phenomenon. The results of this study conclude that legal prohibitions against LGBT perpetrators in Jambi City remain repressive.
Perancangan Infrastruktur Jaringan Untuk Block Situs Menggunakan Fitler Rules dan Address List di PT Dijital Generasi Kreasi
This study aims to design and implement a network infrastructure using Filter Rules and Address List on a MikroTik Router to block access to sites that make employees unproductive in working at PT. Digital Generasi Kreasi. The development method used is the Network Development Life Cycle (NDLC) which consists of six stages: analysis, design, simulation prototype, implementation, monitoring, and management. The results of the study concluded that the application of the NDLC method to this network system is able to increase the efficiency of internet use, maintain network performance, and support employee productivity in the work environment.
Dokumentasi Kode Otomatis Menggunakan AI
This study aims to evaluate the performance of four artificial intelligence models—CodeT5, CodeBERT, StarCoder, and GPT-4 (simulated)—in the code summarization task, which involves generating summaries or documentation for simple Python code snippets. The dataset consists of Python comment and code pairs, processed into documentation–code format to support the summarization process. The evaluation was conducted using BLEU and ROUGE-L metrics to measure the agreement between the model-generated summaries and the original documentation. The results show that GPT-4 (simulated) performed best with a BLEU score of 0.61 and ROUGE-L of 0.72, indicating superior context understanding capabilities. Among the open-source models, CodeT5 achieved the highest performance (BLEU 0.42 and ROUGE-L 0.55). CodeBERT produced an intermediate score, while StarCoder obtained the lowest score because its optimization is more geared towards code completion than code summarization. This study concludes that model selection should be tailored to the needs. CodeT5 is recommended for implementing open-source automated documentation systems, offering a good balance between performance and accessibility. Meanwhile, GPT-4 can be used as a reference model for high-accuracy applications. This research contributes to the field of software engineering by highlighting the potential of AI models to improve the efficiency and automation of code documentation processes.
Pengembangan Platform Pembelajaran Daring “KakTutor” Berbasis Kecerdasan Buatan dalam Menganalisis Emosi Siswa
This study aims to develop an AI-based online learning system capable of detecting and analyzing students’ facial expressions in real time to help instructors better understand their emotions and levels of understanding. The research method employed is Research and Development (R&D) using a Prototype model, consisting of the stages of planning, prototype creation, user evaluation, refinement, and system finalization. The system was developed using the Face API and Google Gemini API with the Facial Action Coding System (FACS) approach to detect facial expressions. Expert testing results show a high level of system accuracy and effectiveness, with an average score of 4.44 (classified as very good). The system is considered effective in assisting instructors in recognizing students’ emotions and adapting teaching strategies accordingly. Therefore, the application of artificial intelligence in online learning has the potential to create a more interactive, empathetic, and effective learning environment.
Analisis Faktor Multidimensi Rendahnya Kualitas SDM Indonesia: Perspektif Human Capital dan Ekosistem Inovasi
The quality of human resources (HR) is a fundamental element in determining a country's competitiveness. Although Indonesia has significant demographic potential, various indicators such as the Human Capital Index, Human Development Index, and productivity levels indicate that the quality of Indonesia's HR lags behind that of developed countries and several ASEAN countries. This study examines the factors contributing to the low quality of Indonesia's HR based on a descriptive qualitative analysis of recent literature. This study covers aspects of education, health and nutrition, digital transformation, labor productivity, the innovation ecosystem, and socio-economic factors and work culture. This study confirms that Indonesia's current HR challenges are multidimensional and interconnected, requiring comprehensive, long-term, and integrated policy interventions between the government, the business world, and society.
Pengaruh Dividend Yield, Dividend Payout Ratio (DPR), dan Earning Volatility terhadap Stock Price Volatility Periode 2020-2024
This study aims to determine the simultaneous and partial effects of Dividend Yield, Dividend Payout Ratio, and Earnings Volatility on Stock Price Volatility through panel regression analysis using the Fixed Effects Model (FEM). This study uses a quantitative approach with panel data from companies listed on the Sri Kehati Index on the Indonesia Stock Exchange for the period 2020-2024. The results show that, partially, Dividend Yield and Dividend Payout Ratio have no significant effect on Stock Price Volatility, while Earnings Volatility has a significant effect on Stock Price Volatility. Simultaneously, the variables Dividend Yield, Dividend Payout Ratio, and Earnings Volatility significantly influence Stock Price Volatility in companies listed on the Sri Kehati Index on the Indonesia Stock Exchange for the period 2020-2024.
Penerapan Model Pembelajaran Kooperatif Tipe STAD dalam Meningkatkan Hasil Belajar Matematika Siswa Kelas II SDN 211/IX Mendalo Indah Muaro Jambi
This study was conducted as a collaborative Classroom Action Research (CAR) carried out in two cycles, namely Cycle I and Cycle II, and preceded by a pre-cycle stage. Each stage involved planning, implementation, observation, and reflection, with the aim of improving mathematics learning outcomes among second-grade students at SD Negeri 211/IX Mendalo Indah, Muaro Jambi. The instructional approach applied in this study was a cooperative learning model of the Student Teams Achievement Divisions (STAD) type. The research subjects consisted of 14 second-grade students, comprising 7 boys and 7 girls. Data on students’ mathematics learning outcomes were collected through test techniques administered at the end of each cycle. Based on the data analysis, the results indicate a significant improvement in students’ mathematics learning outcomes following the implementation of the STAD model, with the percentage of learning mastery increasing from 36% in the pre-cycle stage to 57% in the first cycle and reaching 93% in the second cycle.
Efek Modal Sosial Informal terhadap Efisiensi Pasar Lokal Perdesaan dalam Ekonomi Rural Kontemporer
This study analyzes the role of informal social capital in shaping the efficiency of local rural markets in Indonesia. Using a qualitative approach based on institutional economics and economic sociology, the research shows that trust, customary norms, and informal social networks function as alternative institutions that lower transaction costs and support market stability. However, informal social capital is also ambivalent because it operates within customary structures and unequal gender relations, creating economic exclusion, particularly for women. These findings confirm that rural market efficiency is contextual and social, and requires a sensitive integration of informal institutions and formal market mechanisms.
Eksplorasi Ketersedian Pangan Rumah Tangga pada Balita SAD Beresiko Stunting di Kabupaten Muaro Jambi
The prevalence of stunting among the Suku Anak Dalam (SAD) in Nyogan Village, Muaro Jambi, reached 42.2%, far exceeding the district average. Ecosystem changes due to forest conversion forced the SAD to shift from nomadic to settled lifestyles, impacting household food availability. This study explored food availability in families of SAD toddlers at risk of stunting. This qualitative study, using an ethnographic design, was conducted from May–December 2023. Data were collected from 20 informants through in-depth interviews, focus group discussions (FGDs), observation, and anthropometry. Data analysis was conducted thematically using the Onion Diagram and Food Consumption Score (FCS) approaches. The stunted SAD toddlers came from households with "threshold" food availability (FCS score 35). Although cereal consumption was met, intake of animal protein, vegetables, and fruit was very low. Food availability was highly dependent on river fish caught, which were sold to buy market groceries, but low purchasing power limited access to a balanced, nutritious diet. Low household food availability is a major determinant of stunting in SAD. Nutrition education regarding affordable local foods and support for more stable food access for this marginalized community are needed.
Strategi Guru dalam Implementasi Kurikulum Merdeka pada Mata Pelajaran IPAS Kelas IV di SD
This research aims to analyze and describe Class IV Teacher Strategies in Implementing the Independent Curriculum in Natural and Social Sciences (IPAS) Learning in Elementary Schools. The method used is a qualitative approach with a type of phenomenology. This research was conducted at SD Negeri 42/IV Jambi. The data in this research is in the form of a description of the teacher's strategy in implementing the independent curriculum in grade IV science and science subjects in elementary school which was obtained through interview methods and observation as the main data and document study as research supporting data. The research subject was the class IVA teacher at SDN 42/IV Jambi. Data was collected and analyzed qualitatively. The results of the research show that the teacher's strategy at the planning stage is that the teacher creates an open module containing TP and ATP which refer to the CP provided by the center, prepares learning media, LKPD and evaluation instruments and for the implementation stage the teacher applies teaching tools that have been designed and developed In learning activities, it also includes implementing differentiated strategies, creating a conducive classroom environment and conducting learning assessments. In the evaluation stage, the teacher evaluates the strategies that have been used. The research results show that teachers use various strategies in three main stages, namely planning.
Model Korelasi Antara Lama Perendaman Campuran Perkerasan AC-WC terhadap Karakteristik Marshall
Roads are a means of land transportation composed of several materials, such as bitumen, filler, coarse aggregate, and fine aggregate. Water is a common cause of damage during maintenance. This study aims to determine how immersion (water) affects Marshall properties such as stability, plastic fatigue, Marshall yield, and air voids. For statistical testing, three x nine cylindrical test specimens weighing 1200 grams were manufactured with an optimum asphalt content of 7.30%. In this study, three specimens were used, each with immersion times of 2, 4, 6, 8, 10, 12, 24, 48, and 72 hours. The results showed that soaking affected Marshall Stability, Plastic Yield, Marshall Yield, and Air Voids in the properties of the AC-WC mixture. Marshall Stability, the equation is: Y = -10.67x + 2288.5. Marshall Stability is expected to reach the requirements after 172.31 hours. The equation for the plastic yield strength is Y = 7E-05x2 – 0.0291x + 3.4923. The Marshall Yield Value can be found using the following equation: Y = -0.0042X2 + 0.3556X + 6.1448. After 95.5 hours, the Marshall Quotient is estimated to be below the required value. The equation for the air void value is Y = 0.0006X2 - 0.072X + 5.1632. The air void value is estimated to be below the required value after 20 hours.
Pengaruh Pendapatan Asli Daerah (PAD) dan Belanja Pemerintah terhadap Produk Domestik Regional Bruto (PDRB) di Kota Jambi
This study aims to analyze the influence of Locally Generated Revenue and Government Expenditure on the Gross Regional Domestic Product (GRDP) of Jambi City for the 2015–2024 period. The research method uses a quantitative approach with multiple linear regression analysis based on secondary data from the Central Statistics Agency. The results show that Locally Generated Revenue has a positive and significant effect on GRDP, while Government Expenditure has a positive but insignificant effect. Simultaneously, Locally Generated Revenue and Government Expenditure have a significant effect on GRDP of Jambi City for the 2015–2018 period.
Influence of Total Population Against Poverty Numbers Using Linear Regression Method in Jakarta
This study aims to determine the effect of population on poverty rates in Jakarta during the 2017-2022 period. The analytical tool used was simple regression. The results reveal that population does have a lasting effect on poverty rates in Jakarta during 2017-2022.
Systematic Review of Sexual Dimorphism in the Genus Draco (Lacertilia: Agamidae)
This systematic literature review synthesizes morphological, ecological, and evolutionary information to understand variation in sexual dimorphism in Draco. The literature indicates that males generally possess conspicuous marking structures such as brightly colored neck skin folds and more differentiated patagia that function in territorial defense and mate attraction. In contrast, females often exhibit proportionally larger body size and patagia area, reflecting natural selection pressures related to reproductive costs and the need to maintain gliding performance while carrying eggs. Patterns of sexual dimorphism in Draco vary widely across species and regions, influenced by local environmental conditions, habitat noise levels, and interspecific competition.
Perancangan Sistem Informasi Kesekretariatan dengan Fitur Notifikasi Real-Time Berbasis Web Framework Laravel (Studi Kasus: Institut Tarumanagara)
This study aims to design a Secretariat Information System with real-time notification features using the Laravel web framework at Tarumanagara University. The research methodology includes primary data collection through interviews and secondary data through literature studies. Data analysis was carried out using a qualitative descriptive approach to identify system requirements based on field findings. The system design utilized the Unified Modeling Language (UML) to represent workflows and system functionalities through various diagrams. The coding process implemented Laravel and MySQL due to their flexibility and compatibility with multiple operating systems and programming languages. System testing was performed using the black box testing method to ensure all functional requirements were met. The results show that the system successfully provides a centralized platform for managing incoming letters, outgoing letters, and dispositions digitally. The real-time notification feature effectively delivers automatic alerts to users, improving responsiveness and reducing delays. Furthermore, the system enables comprehensive tracking of letter statuses, making administrative processes more transparent, efficient, and well-documented.
Clustering and Trends of Professional Audit Judgment: A Bibliometric Approach
This study aims to answer three main questions: (1) how have the main developments and trends in the literature related to professional audit judgment changed over time; (2) what are the characteristics, scientific contributions, and most influential documents in the literature on professional audit judgment; and (3) what are the main themes, relationships between topics, and conceptual developments in professional audit judgment research based on co-occurrence network analysis and thematic mapping. Bibliometric methods were applied to 310 Scopus-indexed publications, and visual mapping was performed using Bibliometrix in RStudio. The results of this study indicate that professional skepticism, audit quality, and auditor behavior are core themes, while earnings management is the dominant basic theme. Themes such as CSR disclosure, assurance, and ethical judgment developed as motor themes, while key audit matters, COSO, and blockchain were niche themes. Issues such as big data, data analytics, and internal auditing emerged as emerging themes. These findings provide a comprehensive picture of the direction of conceptual development and opportunities for interdisciplinary research in the future.
Optimasi Efisiensi Pengisian Baterai pada Sepeda Statis Berbasis Arduino menggunakan Algoritma Particle Swarm Optimization (PSO)
This study develops a battery-charging system for a stationary bicycle as an alternative renewable micro-energy solution by converting the user’s pedaling motion into electrical power. The primary objective is to enhance charging efficiency through the implementation of the Particle Swarm Optimization (PSO) algorithm to regulate the PWM signal generated by an Arduino-based controller. The research method includes mechanical and electronic design, integration of current and voltage sensors, implementation of a buck-boost converter, development of the PSO algorithm, and performance testing of the prototype. System evaluation was carried out by comparing the performance before and after applying PSO using parameters such as voltage, current, output power, efficiency, and MAPE error. The results show a significant improvement, including a 36.5% increase in output power, efficiency improvement from 23% to 31.5%, and a reduction in MAPE error from 9.4% to 4.1%. The PSO algorithm effectively adjusts the PWM duty cycle in response to variations in load and generator speed, resulting in a more stable, adaptive, and efficient charging process.
The Evolution of Accounting Information Systems Research: a 10-Year Bibliometric Analysis
This study provides a comprehensive bibliometric assessment of Accounting Information Systems (AIS) research spanning 2016-2025, utilizing Dimensions.ai as the primary data source and VOSviewer for scientific mapping. A total of 4,041 publications were retained after structured filtering procedures. Temporal analysis indicates accelerated growth in AIS scholarship, largely driven by the integration of enterprise technologies, cloud infrastructures, and data-centric decision frameworks. Network visualizations highlight the United States as the epistemic core of AIS research, exhibiting superior productivity and collaboration metrics, while emerging contributions from Asia signal developing regional research clusters. Institutional analysis reveals concentrated knowledge production within leading global universities, whereas journal density mapping underscores the multidisciplinary diffusion of AIS discourse. Citation network analysis identifies seminal works that serve as intellectual anchors within the field. These findings collectively underscore the expanding theoretical boundary and technological orientation of AIS. Future research should advance inquiries into automation, AI-enabled accounting systems, digital audit ecosystems, and cross-institutional research synergies to strengthen the field’s scientific maturity.
Implementasi Machine Learning Tanpa Label (Unsupervised) dalam Identifikasi dan Klasifikasi Penyakit Berdasarkan Data Medis Pasien
This study aims to implement an unsupervised learning method using the K-Means Clustering algorithm to group patients based on medical data without requiring prior disease labels. The dataset used consists of 300 simulated patient data (synthetic data) with variables of blood pressure, blood sugar, cholesterol, and symptoms of fever, cough, shortness of breath, and muscle pain. The results show that the model can divide patients into four main clusters: hypertension, diabetes, hypercholesterolemia, and respiratory infections, which are consistent with realistic clinical conditions. Analysis of the average feature per cluster, scatter plots, and heatmaps strengthen the interpretation of the characteristics of each group. This approach proves that the K-Means method can be an efficient early diagnostic tool even though the data is unlabeled.
Peningkatan Availability Overall Equipment Effectiveness (OEE) Mesin Vertical Milling 3 Axis Melalui Integrasi Failure Mode and Effect Analysis (FMEA) dan Preventive Maintenance
This study aims to improve the Availability value in calculating the Overall Equipment Effectiveness (OEE) of a 3-Axis Vertical Milling machine at PT. XYZ. Low Availability value is an indicator of frequent unplanned downtime, which significantly hinders productivity. The proposed approach is the integration of the Failure Mode and Effect Analysis (FMEA) method with the implementation of a structured Preventive Maintenance (PM) program. FMEA is used to identify and prioritize potential failure modes in machine components based on the Risk Priority Number (RPN) value, which is obtained from the multiplication of Severity, Occurrence, and Detection. The FMEA results indicate that critical failure modes are dominated by problems in the spindle system, cooling system, and axis movement servo system, with the highest RPN values. Based on these critical findings, a customized PM program was developed, including scheduled inspections, relubrication, and component replacement before failure occurs. After the implementation of the PM program during the observation period, the average Availability value of the 3-Axis Vertical Milling machine increased from 63% to 74%. This increase in availability contributed to an increase in the total OEE value. This study demonstrated the effectiveness of combining FMEA and preventive maintenance as a robust strategy for minimizing unplanned machine downtime, thereby optimizing equipment performance and increasing operational competitiveness.
Analisis Pengaruh Tekanan Uap Inlet Turbine terhadap Output Daya
This study aims to analyze the impact of steam inlet pressure variations on the power output of steam turbines in modern power plant systems. The methodology includes thermodynamic calculations based on operating data, evaluation of inlet–outlet enthalpy using steam tables, and power output estimation considering turbine isentropic efficiency. The results indicate that increasing the inlet pressure toward its design value enhances the enthalpy drop by 12–18% and improves turbine power output by 8–15%. Conversely, a reduction in inlet pressure significantly decreases power output due to reduced expansion potential and increased moisture content in the turbine’s final stages. This study highlights the importance of maintaining stable and optimal steam inlet pressure to ensure efficient and reliable operation of modern steam power plants.
Analisis Rendahnya Availability Mesin Strip Siebler 1 menggunakan Metode Overall Equipment Effectiveness (OEE) di PT Kimia Farma
This study aims to analyze the causes of the low availability value of the Siebler 1 machine at PT Kimia Farma using the Overall Equipment Effectiveness (OEE) approach. The research method employed is descriptive quantitative, utilizing machine operational data from January to October 2025. The three main components of OEE—availability, performance, and quality were calculated and analyzed to identify the factors that most significantly affect machine effectiveness. The results indicate that the average OEE value of the Siebler 1 machine is 37.68%, which is far below the industrial effectiveness standard of 85%. Availability is identified as the main contributor to the low OEE, with an average value of only 53.40%, caused by high downtime resulting from mechanical failures in the feeder and heating unit, as well as inconsistent implementation of preventive maintenance. Meanwhile, the performance and quality components have average values of 69.08% and 99.3%, respectively, indicating that product quality is not the primary issue. Based on the fishbone diagram analysis, the main causes of low effectiveness stem from machine-related factors and work methods, leading to increased unplanned downtime.
Implementasi Sistem Penunjang Keputusan untuk Menentukan Bonus Honor Gaji Guru Bedasarkan Data Jam Lebih Menggunakan Metode Specific Measurable Achievable Relevant Time-Bound (Smart) Berbasis Web (Studi Kasus pada SMK Ikhlas Jawilan)
Providing teacher bonus pay based on data on excess teaching hours is a form of recognition that can boost teacher morale and performance. However, the process of determining teacher bonus pay at SMK Ikhlas Jawilan is still manual, potentially leading to inefficiency, a lack of objectivity, and the risk of errors in calculations and decision-making. This situation highlights the need for a system that can assist the school in determining teacher bonus pay in a more systematic and measurable manner. This study aims to design and implement a web-based Decision Support System (DSS) for determining teacher bonus pay using the Specific, Measurable, Achievable, Relevant, and Time-Bound (SMART) method. The criteria used in this study include excess teaching hours (inval), the teacher's role as a school organizational leader, and additional duties as laboratory manager, each of which has varying levels of importance. The process of implementing the SMART method in the system begins with determining criteria and weighting. The developed system is web-based, facilitating data management, increasing accessibility, and supporting transparency in the assessment process. The results of the system implementation indicate that the use of a web-based Decision Support System using the SMART method can assist the school in making decisions more objectively, accurately, and efficiently. Furthermore, this system can minimize subjectivity and increase fairness in determining teacher salary bonuses.
Evaluasi Daya Tarik (Attraction) Klenteng Sam Poo Kong Berdasarkan Kepuasan Pengunjung
This study aims to assess how strongly Sam Poo Kong Temple’s attractions draw visitor interest. The approach uses the 4A concept, focusing on the attraction variable. Data were collected through observation and questionnaires from 96 respondents, then analyzed using the Customer Satisfaction Index (CSI). The results indicate that key physical attractions such as the unique architecture, the historic statue and reliefs, and cultural activities like lion dance and the Cheng Ho procession, are the main strengths that attract visitors. Overall, Sam Poo Kong Temple’s attractions have strong potential as a tourism magnet. However, to sustain and increase visitor interest, improvements are needed in the promotion and scheduling of cultural attractions, staff training to make services friendlier and more informative, and efforts to maintain the site’s authenticity and cleanliness. With these improvements, Sam Poo Kong Temple is expected to provide a more satisfying and sustainable cultural tourism experience.
Pengaruh Beban Kerja dan Disiplin terhadap Kinerja Pegawai pada Rumah Sakit Tk III dr. Bratanata Kota Jambi
This study aims to determine the effect of workload and discipline on employee performance at dr. Bratanata General Hospital, Jambi City. The research method used is descriptive quantitative. The study population was all 304 employees of dr. Bratanata General Hospital, Jambi City, with a sample of 75 respondents determined using the Slovin formula. Data analysis techniques used include validity tests, reliability tests, classical assumption tests, multiple linear regression, correlation coefficients, determination coefficients, F tests, and t tests. The results of the study indicate that workload and discipline simultaneously and partially have a significant effect on employee performance at dr. Bratanata Hospital, Jambi City.
Sebaran Spasial Emisi Karbon Dioksida (CO₂) dari Aktivitas Rumah Tangga di Kelurahan Aur Kenali Kota Jambi
This study aims to analyze the magnitude and spatial distribution pattern of carbon dioxide (CO₂) emissions generated from household activities in Aur Kenali Village, Telanaipura District, Jambi City. Emissions were estimated from electricity consumption, LPG usage, transportation activities, and household waste generation. A quantitative approach was applied through questionnaires to representative households. Emission calculations were conducted using standard emission factors. Spatial analysis employed Geographic Information System with the Inverse Distance Weighted (IDW) interpolation method to model emission distribution. The results indicate that electricity and LPG are the largest contributors to household emissions. The IDW map reveals emission concentrations in densely populated residential zones and areas with high economic activity. The study provides spatial information to support local mitigation policies.
Estimasi Emisi CO2 dari Aktivitas Permukiman di Kelurahan Aur Kenali Kota Jambi
The escalation of Greenhouse Gas (GHG) emissions, particularly carbon dioxide (CO₂), has become a critical global climate change issue with significant implications for Indonesia. This study quantifies CO₂ emissions from household activities in Aur Kenali, Jambi City, covering electricity consumption, LPG usage, transportation, and waste management. Using a descriptive quantitative approach with 100 respondents, the data were analyzed based on the 2006 IPCC guidelines.The results reveal a total emission of 47.02 tons CO₂-eq from the sampled households. The primary contributor is electricity consumption at 23.14 tons CO₂-eq (49.21%), followed by transportation at 15.39 tons CO₂-eq (32.73%), waste management at 5.35 tons CO₂-eq (11.38%), and LPG usage at 3.14 tons CO₂-eq (6.68%). These findings indicate that electricity usage is the dominant emission source in the study area, highlighting the urgent need for enhanced environmental education to foster more sustainable community behavioral changes.
Work Life Balance: Strategi Peningkatan Kinerja Karyawati Perbankan
This research is an effort to develop employee performance, specifically among female banking employees in Bandung City. Performance development is crucial for adapting to rapid and easily accessible changes driven by Artificial Intelligence (AI). It is hoped that enhanced performance will yield a human resource capable of competing with existing technology. A further rationale for this study is the existence of prior research indicating that Emotional Intelligence does not significantly affect employee performance. The method employed to achieve these objectives is explanatory research. This approach is chosen as the researcher aims not only to describe the empirical facts observed in the field but also to analyze and explain the relationships between variables. This study was conducted with 100 female banking employees in Bandung City, selected through a sampling system. Data analysis was performed using Structural Equation Modeling (SEM) with Partial Least Squares (PLS) Version 4.1.1.6. The findings of this study are: first, there is no significant influence of Emotional Intelligence on the performance of female banking employees; second, there is a significant influence of Emotional Intelligence on Work-Life Balance; third, there is a significant influence of Work-Life Balance on the performance of female banking employees; and fourth, Work-Life Balance is proven to mediate the influence of Emotional Intelligence on employee performance.
Analisis Pengelolaan Keuangan Menggunakan Target Costing untuk Meningkatkan Laba pada Studio Foto Kamoe di Kota Jambi
This study aims to analyze the application of the target costing method in financial management to increase profit at Studio Foto Kamoe in Jambi City, identify the challenges encountered, and examine its conformity with Islamic economic principles. The research employs a descriptive qualitative approach, with data collected through observation, interviews, and documentation involving the owner, employees, and customersselected using purposivesampling. The results indicate that target costing is implemented through market price determination, profit targeting, and cost control during the planning stage, which improves cost efficiency and profit stability without compromising service quality. The main challenges include limited capital, rising rental costs, and suboptimal marketing strategies. From an Islamic economic perspective, the implementation of target costing reflects the principles of efficiency and justice (al-‘adl and ihsan), emphasizing fair pricing and social welfare. This study contributes to the development of Islamic financial management by demonstrating the relevance of target costing in the creative service sector as an efficient and ethical financial strategy.
Pengaruh Sanksi Pajak dan Pengampunan Pajak (Tax Amnesty) terhadap Kepatuhan Wajib Pajak Orang Pribadi
This study aims to analyze the effect of tax sanctions and tax amnesty on individual taxpayer compliance. The research was conducted at the Pratama Serpong Tax Service Office. The sample consisted of 400 people, with a random sampling technique. The research data was primary data in the form of distributed questionnaires. The method used was multiple regression. The results of simultaneous and partial testing show that the variables of tax sanctions and tax amnesty significantly affect individual taxpayer compliance at the Pratama Serpong Tax Service Office.
Pengaruh Kecepatan Pelayanan dan Disiplin Kerja terhadap Kepuasan Nasabah Bank Syariah Indonesia di Kabupaten Batang Hari
This study investigates the influence of service speed and work discipline on customer satisfaction in Sharia banking. Using a quantitative approach with multiple linear regression, data were collected from 100 customers of Bank Syariah Indonesia (BSI) in Batang Hari. Findings reveal that both service speed and work discipline have significant positive effects on customer satisfaction. This study contributes to the growing literature on Islamic banking service quality by integrating recent perspectives on digital self-service technology and employee discipline, suggesting managerial implications for enhancing customer satisfaction in the era of digital banking.
Analisis Pengaruh Persepsi Kemudahan dan Persepsi Manfaat terhadap Penggunaan Financial Technology (Fintech) Mobile pada Bank Syariah Indonesia KCP Muara Bulian
This study aims to analyze the effect of perceived ease of use and perceived usefulness on the use of Mobile Fintech at Bank Syariah Indonesia (BSI) by applying the Technology Acceptance Model (TAM). A mixed-method approach was employed, combining descriptive qualitative and quantitative analysis. Primary data were obtained from questionnaires distributed to 99 respondents selected through accidental sampling, while secondary data were derived from literature and prior studies. Data were analyzed using validity and reliability tests, multiple regression, t-tests, F-tests, and the coefficient of determination (R²). The results show that perceived ease of use and perceived usefulness have significant positive effects on the use of Mobile Fintech both individually and simultaneously, with a contribution of 77.9% to fintech adoption. These findings are consistent with previous international studies that highlight the importance of ease of use, usefulness, trust, and Shariah compliance in driving Islamic fintech adoption. This study concludes that strengthening user-friendly features, improving system reliability, and ensuring compliance with Islamic principles are essential strategies to enhance the adoption of Mobile Fintech in Islamic banking. This research also contributes theoretically by expanding the application of TAM in the context of Islamic banking, where Shariah compliance and customer trust play a crucial moderating role. The originality of this study lies in combining quantitative findings with contextual challenges in rural Indonesia, which are rarely highlighted in previous research. Furthermore, the practical contribution is to provide a guideline for Islamic banks in formulating digital strategies that align with customer needs, government financial inclusion programs, and technological trends.
The Effect of Fiscal Dependency on Sectoral Inequality in West Nusa Tenggara Province
This research seeks to examine the influence of fiscal dependence on sectoral disparities across regencies/cities in West Nusa Tenggara Province (NTB) during 2020–2024. Fiscal dependence is assessed using four primary indicators: Local Own-Source Revenue (PAD), General Allocation Fund (DAU), Special Allocation Fund (DAK), and Revenue Sharing Fund (DBH). In addition, sectoral disparity is determined via the Theil Index, derived from the allocation of Gross Regional Domestic Product (GRDP) across 17 economic sectors. The approach adopted is quantitative with a model panel data regression employing the Fixed Effect Model. Findings indicate that on an individual basis, PAD and DAU exerts a negative and significant impact on sectoral disparity. Contributing to disparity reduction via greater allocation flexibility. On the flip side, DAK and DBH individually show a positive and notable impact, suggesting that these forms of transfer funding are likely to heighten disparities across sectors due to their focus on specific areas. At the same time, every indicator of fiscal reliance demonstrates a positive and notable influence on sectoral disparities within NTB. These findings emphasize the importance of increasing regional fiscal independence and restructuring central transfer policies to promote equitable sectoral development in NTB.
Analisis Kualitas Udara Ambien Menggunakan Indeks Standar Pencemar Udara (ISPU) dan Korelasinya Terhadap Kesehatan Manusia di Area Pertambangan Timah Kabupaten Bangka
This study aims to determine ambient air quality using the Air Pollution Standard Index (ISPU) and its correlation with human health. Sampling was conducted at 11 locations in PT Timah Tbk mining areas from May 10-12, 2023, measuring PM₁₀, PM₂.₅, SO₂, CO, O₃, and NO₂ according to SNI standards by IPB LJPKS. ISPU calculation used Peraturan Menteri Lingkungan Hidup dan Kehutanan nomor 14 tahun 2020 with linear interpolation. Results showed PM₁₀ (35.4±7.0 μg/m³), PM₂.₅ (16.4±3.2 μg/m³), SO₂ (21.2±5.8 μg/m³), NO₂ (33.8±10.3 μg/m³), CO (<1145 μg/m³), and O₃ (<23 μg/m³). ISPU values ranged from 35.3-73.6 with 7 locations (63.6%) categorized as GOOD and 4 locations (36.4%) as MODERATE. PM₂.₅ was the dominant pollutant at all locations. All parameters met national quality standards (100% compliance). Based on literature, PM₂.₅ concentration of 16.4 μg/m³ potentially increases minimal cardiovascular mortality risk (RR ~1.16), with more significant impacts on sensitive groups (ISPA patients, asthma, elderly, children) at MODERATE category locations. The study concludes that air quality is in good-moderate condition with minimal health risks, but requires continuous monitoring and emission control programs to achieve WHO standards (PM₂.₅ <15 μg/m³).
Review Penerapan Pembangkitan Terdistribusi (DG) pada Sistem Tenaga Listrik
Distributed generation (DG) has become an important solution in modern power systems to address increasing electricity demand, improve system efficiency, and support the integration of renewable energy sources. DG refers to small to medium scale power generation units connected directly to the distribution network or located near load centres. This paper discusses the application of distributed generation in distribution systems, focusing on technical aspects such as power loss reduction, voltage profile improvement, and protection coordination. A technical analysis is presented through power loss and voltage drop calculations on a 20 kV distribution feeder, demonstrating that proper placement of DG can significantly reduce feeder losses and enhance voltage performance. Further more, a single-line diagram of 150/20kV substation integrated with distributed generation is developed, including current transformers (CT), potential transformers (PT/CVT), circuit breakers, and protection schemes. Several case studies of DG implementation in Indonesia, such as roof top photovoltaic systems and micro-hydro power plants, a real so discussed. There sults indicatet hat distributed generation, when properly planned and coordinated, can improve system reliability, reduce technical losses, and support the transition toward sustainable and renewable-based power systems.
Upaya Peningkatan Kinerja Penyuluh Pertanian di Kawasan Hortikultura Kabupaten Wonosobo
This study assesses horticulture farmers' perceptions of extension workers' performance and formulates improvement strategies via SWOT analysis. Conducted in three major horticultural hubs—Garung, Kertek, and Kalikajar subdistricts—82 organized farmer group members participated. Purposive sampling targeted high-production areas with active farmer institutions. Data came from Likert-scale questionnaires evaluating three aspects: preparation, implementation, and evaluation/reporting of extension activities. SWOT analysis identified internal (IFAS) and external (EFAS) factors. Findings reveal positive perceptions across all aspects: 93.90% rated preparation good (index 70.96%); 82.93% rated implementation good (69.30%); and 98.78% rated evaluation/reporting good (70.96%). Chi-Square tests confirmed no significant influence from respondent traits (age, gender, education, farming experience) on perceptions. IFAS-EFAS scores showed a strength-weakness differential of 1.008 and opportunity-threat differential of 1.060, placing strategies in Quadrant I (Aggressive/SO). Recommendations emphasize leveraging strengths for opportunities: bolstering technical competencies, optimizing IT use, developing flagship programs, and strengthening ties with local governments and stakeholders.
Analisis Parameter Nitrogen, Fosfor, dan Kalium terhadap Kerapatan Eceng Gondok di Danau Kerinci
Lake Kerinci has experienced environmental pressure due to increased nutrient inputs from domestic and agricultural activities, which may trigger eutrophication and excessive growth of water hyacinth (Eichhornia crassipes). This study aimed to analyze the concentrations of nitrogen (N), phosphorus (P), and potassium (K) and their relationship with water hyacinth density in Lake Kerinci. The research employed a quantitative approach with descriptive and correlational analyses. Water samples were collected from five sampling points in the Sanggaran Agung area of Lake Kerinci. Nitrogen and phosphorus concentrations were analyzed using UV-Vis spectrophotometry, while potassium was measured using an Atomic Absorption Spectrophotometer (AAS). Water hyacinth density was determined using the quadrat method. Data were analyzed using descriptive statistics and Spearman correlation analysis. The results showed that nitrogen concentrations ranged from 1.62 to 6.33 mg/L, while phosphorus concentrations ranged from <0.0188 to 0.1695 mg/L. Potassium concentrations at all sampling points were below the detection limit (<0.0297 mg/L). Water hyacinth was found at three sampling points, with the highest density reaching 52 individuals/m. Spearman correlation analysis indicated a moderate positive correlation between nitrogen concentration and water hyacinth density (r = 0.500; p > 0.05) and a moderate negative correlation between phosphorus concentration and water hyacinth density (r = −0.500; p > 0.05); however, both relationships were not statistically significant. The relationship between potassium concentration and water hyacinth density could not be analyzed due to data limitations. These findings suggest that water hyacinth growth in Lake Kerinci is influenced not only by nutrient concentrations but also by other physical and environmental factors.
Pengaruh Kenaikan Pajak Pertambahan Nilai (PPN) dan Harga terhadap Minat Beli Pelanggan Handphone Aland Cell di Kecamatan Muara Bulian Kabupaten Batang Hari
This study aims to analyze the effect of Value Added Tax (VAT) and price on consumer purchasing interest in mobile phones at the Aland Cell Store in Muara Bulian District, Batanghari Regency. This study uses a quantitative approach with a survey method. Data were collected through distributing questionnaires to consumers and analyzed using multiple linear regression. Hypothesis testing was carried out using a t-test to determine the partial effect, an F-test to determine the simultaneous effect, and a coefficient of determination (R²) test to measure the model's ability to explain the dependent variable. The results showed that consumer purchasing interest in mobile phones at the Aland Cell Store was not influenced by Value Added Tax and price, but rather by other factors.
Perbandingan Volatilitas Harga Global dengan Harga Domestik Crude Palm Oil (CPO) Indonesia
This study aims to analyze global Crude Palm Oil (CPO) price movement trends and domestic Indonesian CPO prices, compare their volatility levels, and analyze the influence of global CPO prices on domestic Indonesian CPO prices during the period 2017–2024. The analysis methods used include descriptive analysis thru the calculation of annual returns, standard deviation, and coefficient of variation to measure price volatility, as well as simple linear regression analysis to determine the influence of global CPO prices on domestic CPO prices. The research findings indicate that global and domestic CPO prices experienced significant fluctuations during the study period, with peak prices occurring in 2021–2022 and a sharp correction in 2023. The volatility level of domestic CPO prices is higher than that of global CPO prices, indicating that the domestic market is more sensitive to changes in government policy and domestic supply conditions. The results of simple linear regression show that global CPO prices have a positive and significant effect on domestic CPO prices in Indonesia, with a regression coefficient of 1.35 and a coefficient of determination (R²) value of 0.779. This indicates that most of the variation in domestic CPO prices can be explained by changes in global CPO prices, although internal factors such as trade policies and biodiesel programs also strengthen the domestic price response..
Analisis Kualitas Air Tanah dan Air Permukaan pada Land Application di PT. X
The application of land application as a palm oil mill effluent (POME) management method aims to reduce environmental pollution while improving soil fertility. However, this practice has the potential to affect groundwater and surface water quality in the surrounding area. This study aims to analyze groundwater and surface water quality in the land application area of PT. X, Muaro Jambi Regency, and to evaluate its compliance with environmental quality standards. A descriptive quantitative method was employed by collecting wastewater samples at the WWTP outlet, surface water samples from the Sekawan River (upstream and downstream), and groundwater samples from monitoring and control wells. The analyzed parameters included pH, BOD, COD, TSS, and ammonia (NH₃). The results indicate that the wastewater quality at the WWTP outlet meets the applicable standards. However, groundwater and surface water around the land application area show a tendency toward increased BOD, COD, TSS, and ammonia levels, although most values remain below the permissible limits according to Government Regulation No. 22 of 2021. These findings indicate that land application activities may influence water quality and therefore require continuous environmental management and monitoring.
Penggunaan Data Curah Hujan Satelit Global Precipitation Measurement (GPM) Untuk Analisa Hidrologi Perencanaan Embung di Indonesia
Indonesia is committed to supporting national strategic programs, one of which is food self-sufficiency. Therefore, to achieve optimal irrigation during the dry season, planning for reservoir construction is necessary. One crucial analytical activity in reservoir planning is hydrological analysis. This analysis determines the structural design requirements and the extent of the reservoir's irrigation benefits, provided sufficient data is available. Unfortunately, rainfall data from observation posts is sometimes incomplete, necessitating the use of satellite rainfall data. This study aims to analyze the potential use of Global Precipitation Measurement (GPM) satellite rainfall data as a primary source of hydrological analysis for reservoir planning, particularly in determining the design flood discharge for the return period. The limited availability of observed rainfall data in Indonesia is a major obstacle in the water structure planning process, particularly in rural areas and upstream river basins (DAS).
Penerapan Algoritma Isolation Forest dan Metode Rule Based untuk Deteksi Serangan Brute Force
Brute force attacks remain one of the most common cyber threats targeting network authentication services such as Secure Shell (SSH), File Transfer Protocol (FTP), and web-based login systems. This type of attack is performed by repeatedly attempting various combinations of usernames and passwords until valid credentials are obtained. Brute force activities are often difficult to distinguish from legitimate network traffic because they exhibit communication patterns similar to normal user behavior. Therefore, an automated detection approach is required to identify abnormal patterns from network log data. This study implements a brute force attack detection system based on network log analysis using the Isolation Forest algorithm and a Rule-Based method. The dataset used in this research consists of network traffic logs captured using Wireshark and exported in CSV format. Data preprocessing was conducted to standardize log structure, convert timestamps into numerical values, and extract additional features, including packet count per source IP address. The Isolation Forest algorithm was applied as an unsupervised anomaly detection method, enabling the identification of abnormal network activities without requiring labeled data. Subsequently, a Rule-Based method was employed as a verification stage to classify detected anomalies as brute force attacks based on predefined rules, such as the presence of specific keywords in log information fields, repeated login attempts, and defined time windows. The experimental results indicate that the Isolation Forest algorithm effectively identifies anomalous network activities that deviate from normal traffic patterns. The application of the Rule-Based method further refines the detection results by filtering anomalies that exhibit brute force characteristics. The combination of both methods produces more specific and interpretable detection outcomes, as demonstrated by the identification of repeated failed login attempts originating from the same source IP within a short time interval. Detection results are presented through tabular outputs and visualizations to support further analysis.
Perancangan Sistem Digitalisasi Penyimpanan Arsip Surat Sekolah Menengah Berbasis Cloud pada Kantor Koordinat Wilayah Kecamatan Meral
In today's digital era, the need for efficient, secure, and easily accessible document management systems has become increasingly important, especially within government institutions. The District Coordinator Office of Meral Subdistrict, under the Department of Education of Karimun Regency, still relies on conventional paper-based archiving systems. This creates several issues, such as difficulties in document retrieval, the risk of loss or damage to records, and a high dependence on administrative staff. This study aims to design and implement a cloud-based digital archiving system to enhance the efficiency, effectiveness, and security of archive management. The system was developed using the waterfall model, which includes stages of requirements analysis, system design, implementation, and testing. Modeling tools used in the system design include use case diagrams, activity diagrams, sequence diagrams, ERD (Entity Relationship Diagram), and user interface design. The system is designed as a web-based application that allows users to log in, upload and download documents, create folders, and share archives through digital links. Storage is managed on a cloud server to ensure data availability and security. The results show that the developed system successfully addresses the institution's problems, such as accelerating document retrieval, reducing the risk of data loss, and simplifying administrative tasks related to archiving. Additionally, the system supports the reduction of paper usage and aligns with government digitalization initiatives.
Peningkatan Niat dan Motivasi Berwirausaha: Peran Pendidikan Kewirausahaan pada Mahasiswa
Entrepreneurship is one of many sectors that supports economic growth in Indonesia. Indonesian mostly work as entrepreneurs, so entrepreneurship is one of economic growth’s pillars in Indonesia. Entrepreneurship can increase financial independence for those who do it. Work flexibility makes entrepreneurship an option that is in demand by many people, including students. However, interest and motivation in entrepreneurship need to be fostered, one of which is through entrepreneurship education. Using respondents from students of the Universitas Muhammadiyah Surakarta, this study tries to test the effect of entrepreneurship education on interest and motivation to become entrepreneurs. This study operates Smart Partial Least Squares (SPLS) to test the relationship between variables. The findings in this study confirm that entrepreneurship education can increase interest and motivation to become entrepreneurs, especially among students.
Analisis Critical Success Factors (CSF) Green Finance dalam Pengembangan Infrastruktur Smart City di Indonesia
This study aims to analyze the Critical Success Factors of green finance in the development of Smart City infrastructure in Indonesia. The research was conducted through data processing and analysis of six main variables, namely public literacy, macroeconomic conditions, environmentally friendly investment, operations, risk management, and regulation. The results indicate that, simultaneously, all variables have a significant effect on the impact of green finance implementation on Smart City development in Indonesia. Partially, macroeconomic conditions, environmentally friendly investment, and risk management have a significant influence on the impact of green finance implementation, while regulation, public literacy, and operational factors do not show a significant effect. Environmentally friendly investment is the most dominant factor, as indicated by the highest positive regression coefficient compared to other variables. These findings highlight that increasing environmentally friendly investment provides the greatest and most tangible contribution to the successful development of sustainable Smart City infrastructure in Indonesia.
Analisis Mutu Air Tanah Dangkal di Sekitar Kegiatan Pengeboran Minyak Bumi PT Pertamina Hulu Energi (PHE) Jambi Merang
This study aims to evaluate the quality of shallow groundwater based on iron (Fe) and manganese (Mn) parameters, as well as analyze the spatial distribution pattern of pollutants in the area around PT Pertamina Hulu Energi (PHE) Jambi Merang's petroleum drilling activities. Sampling was carried out at eight points of dug wells, including one company-owned monitoring well, three wells located within a radius of ±2 km the drilling site, and four wells located in community residential areas up to a radius of ±9 km. Water quality analysis is carried out through laboratory testing with reference to water quality standards for hygiene and sanitation purposes in accordance with the Minister of Health Regulation Number 2 of 2023. Furthermore, spatial distribution modeling was carried out using the Inverse Distance Weighting (IDW) and Krigging interpolation methods. The results showed that at some observation points, the concentrations of iron (Fe) and manganese (Mn) were detected to exceed the set quality standard values, with a tendency to higher concentrations in wells located closer to the drilling area. The spatial distribution pattern indicates a decrease in metal concentrations as the distance from the source of the pollutant increases. These findings emphasize the importance of regular groundwater quality monitoring and the implementation of sustainable environmental management to protect the availability of water sources for the community.
Mahasiswa dan GenAI: Mengadopsi atau Tertinggal!
This study aims to explore the determinants of satisfaction with GenAI and students’ continuence intention to use GenAI to support their academic activities by integrating the Technology Acceptance Model (TAM) and Expectation Confirmation Theory (ECT). Data were collected through an online questionnaire distributed to university students from several higher education institutions in South Kalimantan, Indonesia. Data analysis was conducted using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with the assistance of SmartPLS. The findings indicate that perceived usefulness and expectation confirmation significantly influence user satisfaction, which in turn enhances students’ continuance intention to use GenAI. In contrast, perceived ease of use does not have a statistically significant effect on either user satisfaction or continuance intention. Satisfaction derived from GenAI usage encourages students to continue integrating GenAI into their learning processes. These findings emphasize that GenAI has been widely accepted by tech-savvy students, who recognize its benefits and its ability to meet their performance expectations in supporting academic activities. As GenAI continues to evolve and improve its features, it increasingly aligns with users’ needs, positioning GenAI as a critical technological option that students may either continue to adopt or risk being left behind.
Systematic Literature Review: Pengembangan Media Pembelajaran Menggunakan Model ASSURE
The development of information and communication technology has driven an increasing need for the development of learning media that is effective, adaptive, and capable of accommodating the characteristics and needs of learners. One widely used approach in technology-based learning media development is the ASSURE model, which emphasizes systematic instructional planning, analysis of learner characteristics, selection and utilization of media, active learner engagement, as well as evaluation and revision of instruction. This study aims to comprehensively examine the development of learning media using the ASSURE model through a Systematic Literature Review (SLR) approach. The SLR process was conducted following the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) by searching the literature in Google Scholar. The selection stages included identification, screening, and inclusion of articles based on specific criteria, resulting in 13 journal articles that met the eligibility requirements. Data analysis was conducted descriptively to systematically review the types of learning media developed, the research methods employed, and the effectiveness of the media in supporting student learning outcomes. The findings indicate that e-modules and videos are the most frequently produced types of learning media, while Research and Development (R&D) dominates the research methods used, accounting for 92% of the studies. Moreover, among all analyzed media, 54% have been tested for effectiveness and were proven effective in enhancing learning outcomes, motivation, and learner engagement. These results affirm that the ASSURE model has strong potential as a framework for designing systematic, learner-centered, and effective learning media.
Analisis Pengembangan Panjang landas Pacu dan Daya Dukung Perkerasan Bandar Udara Internasional Komodo Labuan Bajo
This study aims to analyze the runway length, thickness, and pavement bearing capacity in existing conditions to serve critical aircraft operations, especially B737-900 aircraft and its development to serve wide-body aircraft A330-300 for the next 10 years. The method used to analyze the runway pavement thickness uses FAARFIELD software and pavement bearing capacity uses COMFAA software. The quadratic trend forecasting method is used to project the number of passengers for the next 10 years based on data from 2015 to 2024. The results of the study indicate that the existing runway length of 2,750 meters is still capable of serving B737-900 aircraft operations, while the planned Airbus A330-300 aircraft requires a corrected runway length of 3,400 meters with a width of 45 meters. The results of the pavement structure evaluation using FAARFIELD show that although the existing pavement still has a structural contribution, the structural capacity is not sufficient to serve the operation of the wide-body aircraft type Airbus A330-300. Therefore, the addition of a pavement layer (overlay) is needed to increase the bearing capacity of the pavement so that it meets the operational requirements of the planned aircraft. However, the results of the analysis using COMFAA show that the PCN value of the existing pavement of 55/F/C/W/T does not meet the operational needs of the Airbus A330-300 aircraft which has an ACN value of 72.6.
SIGMA-AI: Multimedia Engineering Technology Digital Gallery Platform with Artificial Intelligence
The rapid expansion of digital creativity in higher education has increased the need for structured, secure, and intelligent platforms capable of managing large volumes of multimedia-based student work. SIGMA-AI was developed to address this challenge by integrating artificial intelligence into a digital gallery system specifically designed for the Multimedia Engineering Technology study program. Using the Rapid Application Development (RAD) methodology, the platform was built through iterative cycles of requirement analysis, system design, implementation, and testing. Key features include AI-driven auto-tagging, intelligent work recommendations, role-based validation, and an academic analytics dashboard. White-box testing demonstrates that the system’s core processes login, artwork upload, and profile updatesoperate reliably across different scenarios. Comparative analysis shows that SIGMA-AI outperforms mainstream portfolio platforms such as Behance, Dribbble, and cloud repositories by offering structured academic workflows, automated metadata generation, and pedagogical insights unavailable in conventional systems. The findings indicate that SIGMA-AI is not only technically feasible but also strategically valuable for strengthening digital archiving, enhancing learning analytics, and supporting AI literacy in creative education environments.
Kualitas Semen Beku Sapi Limousin pada Permukaan Nitrogen Cair dengan Jarak yang Berbeda Pasca Thawing
This study was conducted to evaluate the quality of frozen Limousin cattle semen after thawing, placed on a liquid nitrogen surface with varying distances. The method used was a Completely Randomized Design (CRD) consisting of 6 treatments and 5 replications. The treatments included P0 as a control (the straw remained immersed in liquid nitrogen), P1 (the straw was raised 5 cm above the liquid N₂ surface), P2 (10 cm), P3 (15 cm), P4 (20 cm), and P5 (25 cm). The study lasted for one month, from October 27, 2023, to November 27, 2023, and was conducted at the Laboratory of the Food Crops, Horticulture, and Animal Husbandry Service of Jambi Province. The parameters observed included motility, viability, and spermatozoa abnormalities. The data obtained were analyzed using analysis of variance (ANOVA), and if it showed a significant effect, it was continued with the Duncan Test. The results showed that placing frozen Limousin cattle semen on a liquid nitrogen surface affected sperm motility and viability, but did not affect the level of abnormalities. A decrease in motility and viability was observed in treatments P4 and P5. Therefore, it can be concluded that placing frozen Limousin cattle semen at a height of 15 cm above the liquid nitrogen surface for 30 seconds can still maintain sperm quality.
Penerapan Algoritma K-Means untuk Pengelompokan Pola Konsumsi Energi di Tingkat Kabupaten/Kota
This study aims to analyze and classify energy consumption levels across districts and cities in Indonesia using the K-Means Clustering algorithm. Per capita food energy consumption serves as an indicator of community welfare and food security. The main issue addressed is the significant variation in energy consumption between regions, which requires data-based analysis to understand the patterns. Data from official national sources were processed using the K-Means algorithm to group areas with similar energy consumption characteristics. The results show three main categories: low, medium, and high energy consumption. The web-based system developed in this study helps make the analysis faster, more accurate, and easier to interpret. The findings are expected to support the formulation of more targeted and sustainable energy and food policies.
Analisis Pengelolaan Limbah Konstruksi pada Proyek Pembangunan Gudang Pabrik PT Amtra New Factory di Tigaraksa, Tangerang
This research aims to analyze solid waste management in the warehouse Factory Construction Project in Tigaraksa, Tangerang. The research method used field observation, interviews, dan descriptive analysis of construction waste management practice. The result show that the main source of waste comes from pile foundation work with the largest composition being excavated soil (55%), Waste management has implemented the 3R principles (Reduce, Reuse, Recycle) in according with law number 18 of 2008 concerning Waste Management, althouht improvement are still needed in documentation aspects and temporary storage facilities, and worker training to optimize sustainable construction waste management.
Pengaruh Jumlah Penduduk Usia Produktif, Investasi dan Tingkat Pengangguran Terbuka terhadap Pertumbuhan Ekonomi di Provinsi Jambi Periode 2005-2024
Economic growth increases an economy's productive capability and national income. If the quantity of real services for production factors increases from year to year, the economy grows. And examine Jambi Province's 2005–2024 investment productive age population, open unemployment, and economic growth. To know and analyse the impact of the population of productive age, investment, and partial open unemployment on economic growth in Jambi Province in 2005–2024.