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The development of the palm oil industry in Indonesia typically relies on collaboration with smallholder farmers, but this collaboration often faces various problems such as poor cultivation techniques, lack of technical guidance, unclear administrative matters, and limited access to certification and markets. This study aims to develop a specific human resource management model to support collaboration with smallholder farmers, thereby improving production yields, sustainability, and engagement in the palm oil supply chain. The method used is a desk study, namely by analyzing and reconstructing information from research results, industry reports, and palm oil certification and sustainability policies. Based on the analysis, a career structure and Human Resource Management functions are proposed, consisting of collaboration supervisors, field officers, capacity training officers, collaboration administration staff, and collaboration/certification managers. This model allows for technical and administrative assistance, training for farmers, collaboration coordination, and certification and compliance management. The implementation of this model is predicted to improve cultivation quality, improve smallholder access to certification and markets, and strengthen the stability and sustainability of the supply chain. Thus, the HR model for smallholders offers a strategic solution to the various challenges of working with smallholders and supports the development of a socially, economically, and environmentally sustainable palm oil agribusiness sector.

The development of the palm oil industry in Indonesia typically relies on collaboration with smallholder farmers, but this collaboration often faces various problems such as poor cultivation techniques, lack of technical guidance, unclear administrative matters, and limited access to certification and markets. This study aims to develop a specific human resource management model to support collaboration with smallholder farmers, thereby improving production yields, sustainability, and engagement in the palm oil supply chain. The method used is a desk study, namely by analyzing and reconstructing information from research results, industry reports, and palm oil certification and sustainability policies. Based on the analysis, a career structure and Human Resource Management functions are proposed, consisting of collaboration supervisors, field officers, capacity training officers, collaboration administration staff, and collaboration/certification managers. This model allows for technical and administrative assistance, training for farmers, collaboration coordination, and certification and compliance management. The implementation of this model is predicted to improve cultivation quality, improve smallholder access to certification and markets, and strengthen the stability and sustainability of the supply chain. Thus, the HR model for smallholders offers a strategic solution to the various challenges of working with smallholders and supports the development of a socially, economically, and environmentally sustainable palm oil agribusiness sector.

The ability to read the Qur’an is a fundamental competence that must be possessed by every Muslim student. However, in educational practice at schools, various problems are still found, particularly the low level of Qur’an reading ability among some students, accompanied by learning boredom. One of the contributing factors to this condition is the use of a single, monotonous, and less varied teaching method. This article aims to examine the problems related to students’ ability to read the Qur’an and the learning boredom that arises due to the implementation of a single method in instruction, as well as to offer practical solutions that can be implemented by educators. The writing method of this article uses a literature review approach and reflection on teaching practice. The results of the study show that a single teaching method tends to reduce students’ learning motivation, hinder active engagement, and slow down the improvement of Qur’an reading skills. Therefore, it is necessary to implement more varied, interactive, and contextual teaching methods, such as game-based learning, group work, and the use of innovative instructional media. Thus, it is expected that students’ ability to read the Qur’an can improve and learning boredom can be effectively minimized.

The Department of Agriculture, Food, Marine Affairs, and Fisheries (DPPKP) of Central Papua Province faces significant challenges in document archive management that is still performed manually. This research aims to develop a web-based document archive application to improve archiving efficiency and support digital transformation in the government sector. The research methodology uses a software engineering approach with the Waterfall method covering five stages: requirements analysis, system design, implementation, testing, and maintenance. The application was developed using PHP, MySQL, and Bootstrap with main features including document upload/download, category and keyword-based search, and authentication system for data security. Black-box testing results show all system functions operate according to user requirements with 100% success rate. System implementation successfully reduced document search time from an average of 10 minutes to less than 2 minutes, increasing employee work efficiency by 75%. Performance evaluation shows an average response time of 1.2 seconds with 99.7% system availability. This research contributes to government information system development literature and provides practical solutions for archive digitalization in regional government agencies.

Efficient and accurate management of population data is a crucial aspect for government organizations, especially the Nabire Regency Women's Empowerment and Child Protection Office (DP3A). Currently, manual filing methods cause various obstacles, such as data errors, delays in public services, and difficulties in the reporting process. This study proposes the development of a web-based population data archiving information system using the Waterfall method. The system is designed to integrate and automate the process of managing sensitive data, including search, update, and report generation features. The results of the development show that the system is able to improve operational efficiency, data accuracy, and information security. In addition, this system supports transparency and accountability in the management of the DP3A program, including MSME and Family Planning data, while facilitating access to information for the public. Thus, this web-based archiving information system is expected to be a strategic solution in improving the quality of public services and supporting more appropriate decision-making within the DP3A environment of Nabire Regency.

The main goal of developing a Website-Based Employee Attendance System with the integration of geolocation and selfies at the Central Papua Provincial Bapperida Office is to improve the accuracy and efficiency of recording employee attendance. This system is designed to verify the identity and location of employees in real-time, thereby reducing the potential for fraud while increasing the transparency of attendance data. The website developed has a simple and easy-to-use interface, allowing each employee to make a presence quickly and practically. This study reviews the latest attendance management technology with a focus on security, reliability, and ease of use. The results of the study show that a web-based attendance system with geolocation and selfie support can optimize time and resources, as well as support more accurate and integrated attendance data management. Thus, this system is expected to be a strategic solution in improving the quality of employee attendance management at the Central Papua Provincial Bapperida Office, as well as strengthening transparency and accountability in government administration governance.

This study aims to improve the performance of student organizations through the utilization of web technology in information system management. The case study focuses on the Student Executive Board (BEM) of STMIK PESAT Nabire, which faces challenges in data management, internal communication, and activity documentation. The research employed a software engineering approach using the Waterfall development model, which includes the stages of requirement analysis, system design, and implementation. The research instruments consist of technical documents such as use case diagrams and evaluative interviews to ensure the system's relevance to user needs. The system was developed using PHP and MySQL as the database. The implementation results indicate that the web-based information system facilitates BEM administrators in managing organizational activities more efficiently and in a structured manner. The findings imply that the appropriate application of web technology can enhance the operational effectiveness of student organizations and serve as a strategic solution for managing organizational information in higher education environments.

The ability to read the Qur’an is a fundamental competence that must be possessed by every Muslim student. However, in educational practice at schools, various problems are still found, particularly the low level of Qur’an reading ability among some students, accompanied by learning boredom. One of the contributing factors to this condition is the use of a single, monotonous, and less varied teaching method. This article aims to examine the problems related to students’ ability to read the Qur’an and the learning boredom that arises due to the implementation of a single method in instruction, as well as to offer practical solutions that can be implemented by educators. The writing method of this article uses a literature review approach and reflection on teaching practice. The results of the study show that a single teaching method tends to reduce students’ learning motivation, hinder active engagement, and slow down the improvement of Qur’an reading skills. Therefore, it is necessary to implement more varied, interactive, and contextual teaching methods, such as game-based learning, group work, and the use of innovative instructional media. Thus, it is expected that students’ ability to read the Qur’an can improve and learning boredom can be effectively minimized.

This research is motivated by the problem of inefficient manual recording of employee attendance at the Central Papua Provincial Bawaslu, which often causes errors and inaccurate attendance data. The main goal of the research is to develop a PHP and MySQL-based digital attendance system that is able to record attendance automatically, real-time, and integrated. The research methods include needs analysis, database and interface design, program code implementation, and system testing. The results of the study show that the digital attendance system developed has succeeded in facilitating the recording of entry times, exit times, and recapitulation of employee attendance with a higher level of accuracy than manual methods. The implications of the implementation of this system are increased administrative efficiency, ease of monitoring, and the provision of more valid attendance data to support fast and appropriate decision-making within the Central Papua Provincial Bawaslu. Thus, this digital attendance system can be a practical solution in improving the quality of human resource management in government agencies.

The proliferation of cloud infrastructures has intensified concerns regarding data security, integrity, identity and access management, and user privacy. Despite recent advances, existing solutions often lack comprehensive integration of privacy-preserving mechanisms, dynamic trust management, and cross-provider interoperability. This study proposes an AI-enabled, zero-trust, blockchain-fused identity management framework for secure, privacy-preserving multi-cloud environments. The framework integrates homomorphic encryption with differential privacy for aggregate-level protection and secure multi-party computation for collaborative data processing. The proposed system was validated in a simulated multi-cloud environment using CloudSim, Ethereum blockchain, and AWS EC2. Experimental results indicate homomorphic encryption latency of approximately 450ms per operation and statistically significant security improvements (t(128) = 12.47, p < 0.001), privacy (t(95) = 8.93, p < 0.001), and throughput (t(156) = 15.21, p < 0.001). The framework achieved differential privacy with ε = 0.1 while retaining 99.2% data utility, and demonstrated a 34% improvement in processing speed over conventional differential privacy approaches. In addition, the implementation was observed to be 2.3× faster than BGV-based configurations, with 45% lower memory consumption than CKKS and a 67% reduction in ciphertext size relative to baseline implementations. From an operational perspective, the framework shows a 23% reduction in security management costs, a 31% improvement in resource utilization efficiency, and an 18% decrease in compliance audit expenses. The model further indicates a 27% reduction in total cost of ownership (TCO) compared with multi-vendor security solutions, a projected return on investment (ROI) within 14 months, and an 89% reduction in security incident response costs under the evaluated conditions.

The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classification. A pre-trained MobileNetV2 network is employed as a fixed feature extractor to obtain discriminative visual representations, while Principal Component Analysis (PCA) is applied to reduce feature dimensionality by approximately 76%, retaining 95% of the original variance and improving computational efficiency. The compressed features are subsequently classified using a Radial Basis Function Support Vector Machine (RBF-SVM), optimized via grid search and cross-validation. Experiments conducted on a four-class maize leaf disease dataset (Northern Leaf Blight, Common Rust, Gray Leaf Spot, and Healthy), with class imbalance handled during training, demonstrate that the proposed MobileNetV2–PCA–SVM pipeline achieves 97.58% accuracy, 96.60% precision, 96.59% recall, and 96.59% F1-score, outperforming the DenseNet201 + Bayesian-optimized SVM baseline (94.60%, 94.40%, 94.40%, and 94.40%, respectively). This improvement corresponds to a 2.98% accuracy gain, a 55% reduction in error rate, an 86% reduction in model parameters (20.31M to 2.75M), and an 85% reduction in model size (81 MB to 12 MB). These results indicate that the proposed framework provides a compact and efficient solution with strong potential for deployment in resource-constrained agricultural environments.

The issue of plastic waste is increasingly becoming an environmental concern, including in elementary schools, due to its non-biodegradable nature and its potential to cause environmental pollution if not properly managed. This activity aims to implement the Ecobrick method as an innovative solution for managing and utilizing plastic waste at SDN 054945 Desa Dogang, Gebang District, Langkat Regency. The method used is a descriptive qualitative approach involving 65 students from grades IV and V through a community service activity. The activity was carried out on July 17, 2024, through preparation, implementation, and evaluation stages, with data collection techniques including observation, documentation, and reflective discussion. The results show that the application of the Ecobrick method successfully increased students' understanding and awareness of the dangers of plastic waste and fostered an early environmental concern. Moreover, previously worthless plastic waste was processed into functional Ecobrick benches that can be utilized within the school environment. This activity also encouraged a sense of mutual cooperation, responsibility, and creativity among the students. Thus, the Ecobrick method has proven to be an effective alternative for plastic waste management and a contextual learning medium in creating an environmentally friendly school culture.

Improper water management in rice cultivation can lead to water stress, which reduces productivity. Conventional monitoring has limitations on large-scale lands, necessitating more efficient remote sensing technologies. This study aims to develop a water stress identification system for rice plants in the late vegetative phase using multispectral drone imagery integrated with an Artificial neural network (ANN). The research method employs an experimental approach with six water availability levels in Karyamukti Village, Sumedang. Field reference data were obtained through soil moisture sensors converted into Available Water (AW) values. Image processing stages included orthomosaic reconstruction, leaf object segmentation, and transformation of vegetation indices (NDVI, NDRE, GNDVI, etc.) as model inputs. The results show that the ANN model with a four-hidden-layer architecture achieved training and validation accuracies of 94–95%. In the independent testing phase, the model produced an accuracy of 94.60% with an F1-Score of 93.33%. Spatial visualization of the prediction results indicates a consistent water condition distribution across rice plots. In conclusion, the integration of multispectral drones and ANN provides an accurate non-destructive solution for spatial monitoring of water availability in rice plants.

The management of kWh meter replacement data at PLN ULP Ampera Palembang is still largely handled through manual recording, which often causes data inconsistencies and delays in monitoring activities. This study aims to design an information system that supports the monitoring of kWh meter replacement data based on actual user needs. The research applies a descriptive qualitative method using the User Centered Design (UCD) approach, where users are actively involved throughout the design process. The stages include understanding the work context, identifying user requirements, developing system design solutions, and evaluating the proposed design. The outcome of this research is a kWh meter data monitoring system design that is expected to facilitate data management, improve accuracy, and support more efficient monitoring processes.

This study aims to examine the role of Computer-Assisted Audit Techniques (CAATs) in evaluating internal control within accounting information systems (AIS) to detect fraud in the expenditure cycle. The research employs a literature review method by analyzing five relevant studies selected based on publication criteria within the last ten years and a focus on technology-based auditing, internal control, and fraud. The findings indicate that CAATs, through features such as test data and parallel simulation, are effective in identifying system weaknesses, detecting transaction anomalies, and strengthening controls in the expenditure cycle. Fraud in this cycle is commonly caused by weak authorization, incomplete documentation, and expenditures conducted without proper procedures. CAATs address these challenges through data-driven and automated audit approaches. In conclusion, CAATs represent a strategic solution for enhancing monitoring accuracy, preventing fraud, and supporting organizational transparency and accountability in the digital era.

This study is based on the need to develop a more effective concentrate ration for lactating dairy cows, as existing formulations in the field are greatly influenced by the availability of ingredients and varying quality. Therefore, this study focuses on optimizing concentrate in dairy cow feed rations to meet SNI standards, which include crude protein (CP), Total Digestible Nutrients (TDN), Calcium (Ca), and Phosphorus (P), with more efficient results in terms of price and nutrition. This study uses the Whale Optimization Algorithm (WOA) metaheuristic approach, which balances the exploration and exploitation processes in finding the best solution to optimization problems. This algorithm has fewer parameters than other metaheuristics such as GA, PSO, and DE. WOA runs naturally in continuous space without the need for genetic operators such as crossover and mutation. The dataset used contains types of dairy cow feed ingredients along with nutritional requirements and prices so that researchers can process the data into efficient feed concentrate that is suitable for lactating dairy cows.

This research investigates integrated legal-human resource frameworks for autonomous vessel operations in Indonesian archipelagic waters, addressing regulatory compliance gaps and seafarer workforce transition challenges. Through qualitative analysis involving 38 stakeholders including maritime lawyers, regulatory officials, ship operators, seafarer unions, training institutions, and autonomous technology developers, this study examines how existing maritime legal frameworks prove inadequate for unmanned operations while workforce displacement threatens 150,000+ Indonesian maritime workers. Results demonstrate that successful autonomous vessel adoption requires coordinated legal-HR approaches addressing liability allocation (achieving 75-85% clarity through multi-party frameworks), competency certification for remote operators (reducing training gaps by 60-70%), career transition pathways (enabling 55-65% workforce adaptation), and regulatory harmonization (improving compliance efficiency by 45-60%). Key barriers include UNCLOS Article 94 incompatibility, insurance unavailability, seafarer resistance, and jurisdictional fragmentation. Findings reveal that archipelagic contexts demand unique legal-HR solutions integrating traditional maritime rights, hybrid operational modes, and just transition principles. This research contributes frameworks enabling Indonesia to proactively shape autonomous vessel regulations protecting both technological innovation and maritime workforce interests during critical technology transition.

Character education faces significant challenges due to digital disruption and globalization that trigger moral degradation in adolescents. In Purwakarta Regency, the "7 Poe Atikan" policy through Regent Regulation No. 69 of 2015 was implemented as a transformative solution based on local wisdom. This study aims to analyze the implementation mechanism, the character values ​​formed, and the supporting and inhibiting factors of the "7 Poe Atikan" program for students of SMPN 1 Maniis. This study uses a qualitative approach with a descriptive literature method. Data are sourced from official documents, educational reports, and related scientific articles over the past seven years. The analysis shows that the implementation of "7 Poe Atikan" in Maniis District effectively internalizes the values ​​of nationalism and love of culture through concrete practices such as the use of Basa Indung (mother language) and traditional clothing. However, significant challenges were found in the Betah di Imah aspect which indicates the still weak synergy between schools and parents. The implementation of "7 Poe Atikan" at SMPN 1 Maniis has successfully created an educational ecosystem that adapts to local wisdom, although strengthening collaboration with the family environment remains a priority for the sustainability of students' holistic character.

This study aims to analyze the underlying causes of low interest in Arabic language learning and to formulate pedagogical solutions through the integration of Contextual Teaching and Learning (CTL), Cooperative Learning, and the PAKEM (Active, Creative, Effective, and Joyful Learning) framework. Adopting a descriptive qualitative approach with a library research method, this study critically analyzes data to identify epistemological, affective, and pedagogical barriers in Arabic instruction, while exploring the potential interventions of the three aforementioned strategies.The findings indicate that the decline in student interest is primarily driven by material abstraction, language anxiety, and passive instructional methods. The integration of these three strategies offers a complementary and holistic solution: CTL addresses cognitive barriers by contextualizing material into meaningful learning experiences; Cooperative Learning mitigates affective obstacles by fostering psychological safety through peer support; and PAKEM overcomes motoric-engagement barriers by stimulating joyful, active participation. The synergy of these strategies effectively shifts the instructional paradigm from passive-instructional to active-participatory, fundamentally reconstructing and enhancing student engagement and interest in Arabic language acquisition.

In today's digital landscape, rapid and accurate access to information has become a fundamental requirement for educational institutions. Previously, SMP Swasta Karya Bhakti Medan relied heavily on conventional methods for disseminating information, such as verbal communication or limited printed media. This situation frequently resulted in delays in delivering news to guardians and limited the promotional reach to the broader community. Addressing these issues, this internship project focuses on the design and development of a school profile website as a solution for information digitalization. The system development process involved several stages, including field data collection, user-friendly interface design, and the coding implementation phase. The website is designed to host essential information, ranging from the institutional profile, vision and mission, and facilities, to student activity documentation. To ensure optimal accessibility, the site is hosted using the Netlify service, allowing for continuous online access. The final outcome of this project is a responsive and easily accessible digital information portal. The presence of this website is expected to enhance the school's image and facilitate parents and prospective students in obtaining valid information regarding SMP Swasta Karya Bhakti Medan without distance or time constraints.