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This research investigates the implementation of Random Forest algorithms combined with Synthetic Minority Over-sampling Technique (SMOTE) to predict elementary school dropout rates in Indonesia, supporting the Indonesia Emas 2045 vision. A significant gap was identified in previous studies, which, despite utilizing artificial intelligence for dropout interventions, had not integrated temporal dimensions into data analysis. A temporal data-based classification model was developed using Indonesian Ministry of Education data from 2021-2023, incorporating lag features, delta calculations, and rolling statistics. Two models were implemented: one with SMOTE achieving 99% accuracy with perfect recall for high-risk regions, while the non-SMOTE model reached 100% accuracy. Temporal features were identified as crucial predictors, reflecting external fluctuations and annual changes impacting dropout decisions. This approach enables educational institutions to allocate resources more efficiently by prioritizing operational assistance for high-risk schools. The model's capacity to identify high-risk regions with 100% recall represents a strategic investment in strengthening Indonesia's human resource sustainability. To address the limitations of provincial aggregate data, expansion to include individual-level variables and model validation at district or school scales is recommended for future research.

This literature review discusses the application of Agile methodology in modern software development. Agile offers a flexible, iterative approach that contrasts with traditional waterfall models. The objective of this study is to provide insights into how Agile frameworks such as Scrum, Kanban, and Extreme Programming have influenced development speed, software quality, and team collaboration. Methodologically, the study synthesizes findings from recent academic and industrial literature from the last five years. The results show that Agile enhances adaptability and customer satisfaction, although challenges remain in large-scale implementations.  

The application of Virtual Reality (VR) based on the Metaverse in education is an innovation that can enhance the quality of learning by providing a more interactive and immersive learning experience. This article discusses the development of VR-based learning integrated with the Metaverse using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). Through the stages of analysis, design, development, implementation, and evaluation, VR and Metaverse-based learning can be tailored to students' needs, creating a more flexible and collaborative learning experience. The use of this technology allows students to learn independently or in groups, while improving practical skills and creativity. This study shows that by applying the ADDIE model, VR and Metaverse-based learning can be more effective in increasing student motivation and learning outcomes, addressing the challenges of education in the future.

This study discusses the construction system in Japan from the perspective of Sharia business management. Japan is known for its high construction standards, advanced technology, and disciplined work system. The study aims to analyze how Sharia business principles can be applied in the construction industry in Japan, particularly in workforce management, finance, and business ethics. Using a qualitative descriptive method, this research explores the firsthand experiences of construction workers in Japan and the policies that support Sharia business practices in the industry. The findings indicate that there are opportunities to implement Sharia concepts in human resource management and financial transparency.

One of the negative impacts of the mining process is acid mine drainage which is formed from the oxidation of minerals containing iron sulfur, such as pyrite (FeS2) and pyrothite (FeS) by oxidizers such as water and oxygen. To handle or control acid mine drainage, one way is to use activated carbon or often referred to as activated charcoal, which is a type of carbon that has a very large surface area. Charcoal is a porous solid that contains 85% to 95% carbon, produced from materials containing carbon by heating at high temperatures without oxygen (pyrolysis). Activated carbon made from palm shells is an adsorbent that can be used to treat coal mine acid water, so that the water meets standards for flowing into the environment. This study used concentration variants of 4 grams, 6 grams, 8 grams and contact times of 30 minutes, 60 minutes and 150 minutes. The results of this study show that the concentration of palm oil shell activated carbon adsorbent influences the reduction of iron (Fe) and manganese (Mn) metal levels as well as the pH conditions in acid mine drainage water. The higher the concentration and the longer the contact time, the more heavy metals are adsorbed, the contact time is the highest. The optimal concentration in this study was 150 minutes and the optimal concentration was 8 grams with physical activation.

The 2013-2031 Karanganyar Regency RTRW directs Gondangrejo District as an area designated for medium to large-scale industries, although on the other hand there are rural settlement areas in existing conditions. The industry in Gondangrejo District is growing and developing which is agglomerated along the Solo-Purwodadi Road. The development of this agglomeration has an impact on the increasing density of rural settlements around the industry. Therefore, this study aims to measure changes in the density of residential buildings affected by the development of industrial agglomeration in Gondangrejo District, Karanganyar Regency between 2004-2024. The research method used is quantitative with regional relative comparison analysis techniques, average nearset neighbors, and kernel density analysis. The results of the study show that industrial agglomeration in Gondangrejo District has experienced low-level development. The density of residential buildings has also increased to 25 units/ha. The growth of residential buildings, boarding houses, shops/stalls, and parking facilities around the industry is a direct impact of the development of industrial agglomeration on the density of residential buildings.

Nowadays, the number of cyber terrorists that using Internet as a medium keep increasing around the world are really worrying. Even though the cyber terrorist is publishing their post openly and public, there are quite difficult to recognize their main communication media. This happen because the cyber terrorist might hide their agenda through any sympathetic base website. Therefore, the aim of this project is to formulate tracing and linking algorithm using data mining technique in order to identify the relationship between each cyber terrorism components that may result to cyber terrorism website.      

Generators are an important component in electrical generation. One of the disturbances that occurs in the generator is a short circuit fault. PT Oki Pulp and Paper has a Diesel Generator which is equipment that can be used as an alternative electrical generator to meet backup electricity needs, when a trip / shutdown occurs, the diesel generator will become backup power. The diesel generator observed is YCSR with a capacity of 3875 KVA/380 Volts. The purpose of this research is to analyse the Short Circuit Disturbance of Diesel Generator YCSR 3875 KVA and analyse the calculation of the time required for Over Current Protection on short circuit disturbance of Diesel Generator YCSR 3875 KVA. The research was conducted at the DG House of PT Oki Pulp and Paper in December 2024. The results of the short circuit fault analysis obtained are 17,042.40 A. The time required for the relay to disconnect the electricity during a short circuit is 4.09 seconds. The time obtained from the calculation is quite short, it can be seen that the short circuit fault that occurred was 17,042.40 A. To get the results of the relay working time, there is a calculation to find out how much TMS is determined through calculation, from the calculation getting the TMS result of 1,007 seconds. With TMS = 1.007 seconds, calculations are carried out to find the time required for the overcurrent relay to send a signal to the circuit breaker.

Islamic civilization has played an important role in world history, with significant contributions in the fields of science, philosophy, architecture, and culture. Therefore, it is important to study and understand the history of Islamic civilization to understand its significant influence in the modern world. The Abbasid Dynasty was one of the golden periods in the history of Islamic civilization, with significant contributions in various fields. The Abbasid Dynasty was one of the dynasties that had a high civilization in the field of science, of course this was inseparable from the efforts made by the caliphs who led the government. Efforts continued to be made by translating foreign works that had previously experienced civilization in the fields of science and other fields. This article will discuss the history of the Abbasid Dynasty and its contributions to Islamic civilization.

This study aims to examine the problem of the lack of implementation of experiment-based learning in Biology subjects at SMA Nahdlatul Ulama Padangsidimpuan. The method used is descriptive qualitative with a case study approach, with data collection through interviews with Biology teachers and literature studies. The results showed that limited laboratory facilities, lack of practicum tools and materials, and limited learning time allocation were the main obstacles in the implementation of practicum. Although teachers realize the importance of experimental activities in improving students' understanding and science process skills, structural support from schools is still very limited. In response to these obstacles, several alternatives such as the utilization of virtual laboratories, the use of experimental videos, and simple experiments based on local resources have been attempted. This research recommends strengthening educational policies that support practicum-based learning through the provision of adequate infrastructure, continuous training for teachers, and development of alternative learning media. Thus, Biology learning can be more effective in fostering students' scientific skills and critical thinking according to the demands of the 21st century.

Given the increasing prevalence of mental health challenges in digital work settings, especially among IT remote workers, early detection mechanisms have become critically important. This study aims to improve the prediction accuracy of mental health conditions among IT remote workers by integrating feature engineering techniques within machine learning models. Five algorithms consisting of Random Forest, Logistic Regression, K-Nearest Neighbors, Decision Tree, and Naive Bayes were evaluated. The Random Forest model achieved the best performance, with 83% accuracy, 83% precision, 100% recall, and a 90% F1-score, followed closely by Logistic Regression with 82% accuracy. Nevertheless, the results demonstrate the feasibility of applying machine learning to support the early detection of mental health risks, offering a strong foundation for future research in predictive analytics and the development of intelligent support systems within digital work environments.

The implementation of Electronic Medical Records (EMR) in healthcare institutions aims to improve the efficiency, accuracy, and accessibility of medical data. RSUD Weda, a regional hospital in Indonesia, has adopted an EMR system in its outpatient services to replace conventional manual processes. However, this transition has faced several challenges, including inadequate training, unstable network infrastructure, and inconsistent adherence to Standard Operating Procedures (SOPs). This study aims to evaluate the performance of the EMR implementation using a qualitative descriptive method based on the 5M framework—Man, Material, Machine, Method, and Money. Data were collected through interviews, direct observation, and document analysis involving stakeholders such as medical staff, administrators, and IT personnel. The findings indicate that while users acknowledge improvements in data accuracy and accessibility, key issues remain, particularly in training quality, infrastructure readiness, and system reliability. The study also observed gradual improvements in SOP compliance and reduced system failures over time. These results suggest that successful EMR adoption requires a balance of technical infrastructure, human resource readiness, financial support, and continuous system monitoring. The use of the 5M framework proved effective in identifying multidimensional challenges and offering holistic insights into the implementation process. This study contributes to the broader literature on EMR evaluation by providing contextualized evidence from a district-level hospital and offers practical recommendations for enhancing EMR system performance in similar healthcare settings.    

process standardization, and system optimization. The study concludes that the HOT-FIT model is This study evaluates the performance of the outpatient registration information system at RSUD Komodo using the Human-Organization-Technology Fit (HOT-FIT) framework. Hospital Information Systems, particularly in the outpatient registration process, are crucial for supporting service efficiency and data accuracy. However, RSUD Komodo has experienced several challenges in the implementation of its SIMRS module, including system slowdowns, sudden monitor failures, and unstable internet connectivity during service hours. These issues hinder operational effectiveness and risk compromising service quality. The objective of this research is to assess system performance comprehensively across human, organizational, and technological dimensions. A qualitative descriptive design was employed, involving in-depth interviews with five key informants: registration staff, IT personnel, coder, head of the medical records unit, and head of the casemix team. The findings show that in the human dimension, users lacked sufficient training and adaptation strategies. In the organizational aspect, weak coordination and the absence of standardized procedures were identified. In the technology dimension, hardware malfunctions and slow system performance significantly disrupted services. These interconnected issues reveal the need for capacity buildingan effective tool for evaluating hospital information systems, offering a structured approach to identifying and resolving performance gaps in outpatient service modules.

This research aims to evaluate Mixue's corporate communication methods to create a positive perception of the wider audience. In this digital era, corporate image is one of the assets that affect the trust of customers. This research uses a qualitative approach based on critical analysis. The results show that the Mixue company uses several communication strategies, such as utilizing social media, open communication and transparency, cooperation with influencers, and using mascots as branding. These strategies help the brand's good reputation in the eyes of the public. It is hoped that this research will help develop corporate communication theory as well as provide practical examples of how a company builds and creates an image using good and effective strategies.

This article discusses the implementation of negotiation strategies and lobbying techniques as participatory communication approaches in the context of community service in Parigi Village, Cikande Sub-district, Serang City. Through intensive community organizing, this activity aims to strengthen the capacity of residents in facing the challenges of cross-interest communication and collaboration, especially in terms of policy advocacy and local resource management. The service subjects consisted of local community groups who had been less involved in the decision-making process at the village level. The service process is carried out through several stages, starting from joint problem mapping, training in negotiation and lobbying techniques, to the preparation of collaborative action plans that involve active participation of residents. The findings from this activity show that interest-based negotiation and ethical lobbying can strengthen the community's bargaining position towards external actors such as the government and local stakeholders. The dynamics of the activity also resulted in initial social changes, such as the formation of an internal advocacy group, increased participation in public forums, and the emergence of collective awareness of the importance of strategic communication.

Cybersecurity is continuously challenged by increasingly sophisticated and dynamic cyber-attacks, necessitating advanced adaptive defense mechanisms. Deep Reinforcement Learning (DRL) has emerged as a promising approach, offering significant advantages over traditional intrusion detection methods through real-time adaptability and self-learning capabilities. This paper presents an advanced adaptive cybersecurity framework utilizing five prominent DRL algorithms: Deep Q-Network (DQN), Proximal Policy Optimization (PPO), Twin Delayed DDPG (TD3), Soft Actor-Critic (SAC), and Asynchronous Advantage Actor-Critic (A3C). The effectiveness of these algorithms is evaluated within complex, realistic simulation environments using live-streaming data, emphasizing key metrics such as accuracy (AUC-ROC), response latency, and network throughput. Experimental results demonstrate that the SAC algorithm consistently achieves superior detection accuracy (95% AUC-ROC) and minimal disruption to network performance compared to other approaches. Additionally, A3C provides the fastest response times suitable for real-time defense scenarios. This comprehensive comparative analysis addresses critical research gaps by integrating both traditional and novel DRL techniques and validates their potential to substantially improve cybersecurity defense strategies in realistic operational settings.

Listrik menjadi penunjang dalam kemajuan teknologi dan pelaksanaan pembangunan yang mendorong kegiatan ekonomi untuk kesejahteraan masyarakat. untuk mendukung program tersebut maka perlu dukungan instalasi listrik yang memadai untuk menjamin keselamatan dan mencegah kerugian pada konsumen. Kerugian ini dapat terjadi akibat instalasi yang tidak sesuai dengan standar PUIL. Seperti halnya dengan rumah ibdah yang terdapat pada kampung kalamanuk distrik fakfak timur kabupaten fakfak. Setelah dilakukan observasi, masih terdapat instalasi penerangan yang tidak sesuai dengan standar. keadaan ini membuat masyrakat menjadi tidak khusyuk dalam melakukan ibadah karena khawatir akan bahaya krosleting listrik yang dapat membahayakan keselamatan jemaat. Hal ini mendorong mahasiswa Jurusan Teknik Listrik Politeknik Negeri Fakfak melakukan reinstalasi penerangan pada rumah ibadah di Kampung Kalamanuk. Pelayanan yang diberikan berupa instalasi ulang listrik penerangan serta perbaikan instalasi dan mengganti perlatan yang tidak sesuai dengan standar. Proses instalasi dilakukan dengan mengganti pengkabelan untuk jalur penerangan. Pemasangan ulang kabel dilakukan pada plafon rumah ibadah kemudian diklem pada setiap jarak 30 cm. Setelah proses pengkabelan selesai maka selanjutnya adalah melakukan instalasi penerangan baik dalam ruangan rumah ibadah maupun yang terdapat pada teras depan dan belakang rumah ibadah. Sebanyak 2 buah lampu penerangan pada bagian teras depan, 2 buah lampu penerangan bagian teras belakang dan 6 buah lampu penerangan pada bagian sisi samping kiri dan kanan rumah ibadah. Pemasangan penerangan pada bagian teras dimaksudkan agar halaman rumah ibadah menjadi terang ketika malam hari.

The study aims to determine whether the educational crossword puzzle game can create, build, and change students' learning motivation and the learning process in class VIII of SMP Negeri 1 Satu Atap Tampahan. The research method used is quantitative with a pre-experimental design type in the form of One group pretest-posttest. The population of all classes VIII is 90 people and a sample of 31 people using purposive sampling. The closed questionnaire instrument consists of 20 items. The results of the data analysis show that there is an influence of the educational game method used by the teacher on students' learning motivation, as evidenced by the significant test obtained a value of t count> t table, namely 6.669> 2.042, it is concluded that H0 is rejected and Ha is accepted.

This study aims to determine the effect of the collaborative learning model on student learning outcomes. The research method used is quantitative with a pre-experimental design research type in the form of one-group pretest-posttest. The population of all 9th grade students is 62 people and a sample of 31 people through purposive sampling. The instrument in the form of a test question consists of 20 items. The results of the data analysis show that there is a positive and significant effect of the Collaborative Learning PAK and Budi Pekerti learning model on the Learning Outcomes of Class IX students, as evidenced by the tcount> ttable value, namely 14.226> 2.042. It is concluded that H0 is rejected and Ha is accepted.

This study aims to determine the role of the elderly wife in supporting the husband's ministry duties in the Sibaragas Fellowship Protestant Church. The study used a semi-structured interview method and was analyzed descriptively qualitatively. The results showed that the elderly wife has an important role in providing spiritual and emotional support to her husband, which helps the elderly in dealing with the pressures and challenges of ministry. In addition, the wife's active involvement in ministry has a positive impact on the congregation's view of the husband's leadership. The elderly wife is also expected to be a role model for the congregation and society, not because of coercion, but because of an awareness of her calling. She also plays a role in coordinating women's activities in the church. The lack of wife involvement often causes dissatisfaction with the congregation and can affect the quality of the husband's ministry.