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The development of information technology requires educational institutions to adapt so that administrative processes and internal management can run more effectively and efficiently. Islamic boarding schools as modern Islamic educational institutions are also not exempt from this need. This Community Service Program (PKM) aims to optimize computer networks and improve the understanding of pesantren staff regarding folder sharing systems, printer sharing, and data management ethics at Pondok Pesantren Modern Darel Azhar, Rangkasbitung, Banten. Implementation methods include initial observation, network design and installation, material delivery and training, data sharing system implementation, and technical evaluation. The results show that the pesantren now has a more organized, stable, and optimally utilized local area network (LAN). In addition, administrative staff gained a better understanding of computer network basics, data sharing systems, and digital data management ethics. This activity has a positive impact on the efficiency of pesantren administrative management and can serve as a model for implementing computer network technology in modern pesantren environments.

Digitalization is an effort to utilize digital-based technology to transform previously conventional work systems into more efficient and effective ones, including in the management of micro, small, and medium enterprises (MSMEs). This study aims to apply digitalization to corn-based coffe MSMEs in Talang Balai Baru 1 Village, Tanjung Raja District, Ogan Ilir Regency. The research method used is a descriptive qualitative approach with data collection techniques through interviews, observation, and documentation. The research findings indicate that the production and marketing activities of corn coffe MSMEs still use conventional methods. The implementation of digitaization has not been optimally implemented due to the low digital literacy of business owners and limited time in business managemen. Nevertheless, the initial implementation of digitalization through the use of social media and online sales platforms has had a positive impact in the form of expanding market reach and increasing ease of communication between producers and consumers. Thus, the digitalization of corn coffe MSME products has great potential to increase competitiveness and business sustainability if implemented gradually and continuously. .

Electricity dependence is increasing as people have easier access to electronic devices. However, this ease of access is not always accompanied by adequate energy literacy. In its Community Service program, Universitas 17 Agustus 1945 Jakarta helped to educate the residents in RW06 Kalibaru, Jakarta, about the safe and efficient use of electricity. This community service program was conducted through participatory seminar with a qualitative approach for residents. The activity used informal visual presentations and discussions in an informal atmosphere. The outreach program demonstrated residents' high enthusiasm for the efficiency of electrical equipment usage such as air conditioners, refrigerators, and water pumps. Through the discussion session, residents realized that using air conditioners with too low a power consumption actually leads to higher energy consumption because the compressor runs continuously. Participants understood that investing in automation concepts, such as using water reservoirs, provides significant long-term electricity cost savings. This outreach successfully shifted residents' paradigm from just simply seeking low prices to selecting devices with optimal capacity according to their needs. This education program demonstrates the effectiveness of energy literacy in improving electricity consumption habits at the household level. Therefore, simple technical understanding can boost family economic financial advantages through sustainable effective energy consumptions.

The Megengan tradition is a Javanese ritual performed before the month of Ramadan as a form of spiritual preparation, strengthening social solidarity, and maintaining relationships with ancestors. However, the development of modernization, urbanization, educational advancement, and changes in mindset have caused this tradition to experience a significant shift in meaning. This study aims to describe the changes in function, meaning, and position of Megengan in modern society using Max Weber's modernization theory as an analytical framework. The research method used is a literature study from various journals, cultural documents, and previous research related to the Megengan tradition in various regions of Java. The results show that Megengan has undergone a transformation from a sacred ritual full of cosmological symbols to a more functional and efficient socio-cultural activity. The process of rationalization in modern society has caused the spiritual and symbolic meaning of ritual foods such as apem, ketan, and ingkung to be reduced, while the form of ritual implementation has become more formal and centered on religious institutions. The change in ritual authority from elders to modern religious figures is one indication of the shift from traditional authority to rational-formal authority as explained by Weber.  Despite the simplification of its meaning, Megengan remains a living tradition that serves to strengthen cultural identity, social harmony, and intergenerational relationships. This research confirms that the shift in Megengan does not indicate a weakening of Javanese tradition, but rather a form of cultural adaptation in response to the dynamics of modernity.

This research aims to create a real character education media through a reward system called Reward Activity as a facility for teachers in controlling the discipline and politeness of third-grade elementary school students. This research uses R&D procedures with the ADDIE model which includes Analyze, Design, Develop, Implement and Evaluate. The subjects of this research were third-grade elementary school students at two schools, namely SDN 2 Sumberagung for small group trials and SDN Sambangrejo for large group trials. Information was obtained through interviews, observations, expert validation questionnaires, user reaction questionnaires and pretests and posttests. The research results show that the Reward Activity media has a media validity of 86% (very valid), practicality of 97% from students and 98% from teachers. The effectiveness test obtained high results with an N-Gain value of 0.75 for discipline character and 0.77 for politeness character. Based on the above data, the Reward Activity media is declared feasible, instant and efficient in improving the discipline and politeness of third-grade elementary school students.

The R05 Community Service Program (KKN), Subgroup 1 in Kalikatir Village, Gondang District, Mojokerto Regency, aims to implement hydram pump technology as an environmentally friendly and energy-efficient irrigation solution. This technology is designed to meet the water needs of 100 hectares of banana plantations, especially during the dry season. The implementation method includes initial surveys, design, manufacture, installation, and testing of the hydram pump, involving the participation of Kalikatir villagers. The results show that the pump is capable of lifting water to a height of 30 meters with 70% efficiency, although it has not yet reached the daily target. This technology has been proven to reduce operational costs and increase agricultural productivity. It is hoped that in the future, this technology can be further developed to improve its efficiency and sustainability.

Advances in information technology have driven the transformation of banking services towards digitalization through mobile banking. Bank Central Asia (BCA), one of the largest private banks in Indonesia, offers m-BCA services to facilitate quick, practical, and efficient customer transactions. However, issues such as delayed notifications, system disruptions, and login problems still exist. This study aims to evaluate m-BCA user satisfaction using the PIECES Framework, which consists of six dimensions: Performance, Information, Economy, Control and Security, Efficiency, and Service. A descriptive quantitative approach was used, with a questionnaire distributed to 105 active m-BCA users in South Jakarta. Data were analyzed using mean values to assess satisfaction levels for each dimension, and validity and reliability tests were conducted. The results showed average scores of 4.02 for Performance, 4.08 for Information, 4.08 for Economy, 4.18 for Control and Security, 4.20 for Efficiency, and 4.09 for Service. The overall score of 4.10 falls into the "Satisfied" category. The highest score was for Efficiency, indicating strong support for users’ banking activities, while the Performance dimension scored lower, suggesting room for improvement. Overall, users are satisfied with m-BCA, but system performance improvements are needed for service stability and sustained satisfaction.

In the highly competitive sports equipment market, particularly for badminton items, businesses must rely not only on high-quality products but also on efficient digital media marketing techniques. Brands frequently utilize Instagram, a visual social media site, to enlighten consumers about their products and pique their interest. Yonex uses Instagram with the account @yonex_badminton. Nevertheless, a large following and frequent posting may not always indicate how well a piece of content stimulates customer interest in making a purchase. The purpose of this study is to examine how @yonex_badminton Instagram content affects consumer interest in making purchases. With the use of statistical software, this study employs a quantitative methodology that includes survey procedures and data analysis utilizing basic linear regression. 84 responders who followed the @yonex_badminton Instagram account made up the research sample. With a t-value of 13.387 and a significance value of 0.000, the results demonstrated that Instagram content had a favorable and substantial impact on customer purchase interest. Instagram content may account for 68.6% of the variance in customer purchase interest, according to the coefficient of determination (R2) value of 0.686. Other factors that are not within the purview of this study account for the remaining 31.4%. This research gives a broad overview of how managing regular, engaging, and educational Instagram content may be a useful digital marketing tactic and boost customer interest in making a purchase.  

This study aims to evaluate the level of user satisfaction with the user interface of the Academic Information System (SIAKAD) at Esa Unggul University using the End User Computing Satisfaction (EUCS) method. This method assesses user satisfaction based on five key dimensions: content, accuracy, format, ease of use, and timeliness. The study employed a quantitative descriptive approach by distributing questionnaires to active Esa Unggul University students as primary system users. The collected data were analyzed using SPSS software to test validity, reliability, and the relationships between variables that influence user satisfaction with the SIAKAD interface. The results show that, in general, users are quite satisfied with the SIAKAD interface, particularly in the ease of use and accuracy dimensions, which obtained the highest scores. This indicates that usability and information accuracy are the dominant factors in creating a positive user experience. However, the timeliness and content dimensions still require further improvement, as they were rated as less optimal in providing fast and comprehensive information. These findings highlight the importance of an intuitive, efficient, and informative interface design in enhancing user satisfaction. This research is expected to serve as a reference for Esa Unggul University in developing and improving its Academic Information System to become more effective, efficient, and user-friendly. Evaluating user satisfaction through the EUCS approach provides valuable insights for system developers to refine the interface, improve information quality, and enhance system responsiveness. Thus, the results of this study are expected to contribute to improving academic service quality and supporting the digitalization of education at Esa Unggul University.

Measuring coal volume in the Stock ROM area played an important role in production control and mining evaluation. This research was conducted in the Stock ROM area at PT. Victor Dua Tiga Mega, where volume measurements were generally carried out using Total Station (TS) as the main method, howefer the use of Unmanned Aerial Vehicles (UAV) has begun to be implemented as a more efficient alternative. This study aims to compare the results of Stock ROM coal volume calculations using the Total Station and UAV methods. The research method was carried out by collecting data in the field, processing the digital Elevation Model (DEM), and calculating the volume using the Cut and Fill method. The results of the study the difference in volume between the two methods, where the UAV measurement results tend to be greater than those of the Total Station. The difference in Fine Coal volume was 724,15 m3 or 16,74% and Raw Coal volume of 9.335,98 m3 or 8,03%. Based on a comparison with weighing data, measurements using the Total Station provided results that were closer to the actual conditions in the field.

This in-depth study explores the comprehensive marketing strategies implemented by CV. Logam Jaya Gallery, a leading copper and brass craft business entity in Tumang Village, Boyolali. The research aims to identify the key factors behind the company's resilience in the face of intense industry competition. Using a qualitative approach, operational data was obtained in depth. The results show that the company integrates direct marketing through national and international exhibitions, while optimizing digital channels and e-commerce for broader global market penetration. Despite its success, CV. Logam Jaya Gallery faces significant obstacles such as market demand fluctuations, limitations in manual production technology, and competitive pressures. As a mitigation measure, the company diversifies its products and adopts contemporary technology to efficiently increase its operational capacity. Strategic synergies with the government and the private sector were also strengthened to expand promotional access. This success was also supported by fundamental pillars in the form of cultural heritage and intergenerational craftsmanship. Through a combination of organized management, sustainable design innovation, and adaptation to market dynamics, the company has succeeded in establishing itself as a competitive creative industry player on the national and global stage.

This in-depth study explores the comprehensive marketing strategies implemented by CV. Logam Jaya Gallery, a leading copper and brass craft business entity in Tumang Village, Boyolali. The research aims to identify the key factors behind the company's resilience in the face of intense industry competition. Using a qualitative approach, operational data was obtained in depth. The results show that the company integrates direct marketing through national and international exhibitions, while optimizing digital channels and e-commerce for broader global market penetration. Despite its success, CV. Logam Jaya Gallery faces significant obstacles such as market demand fluctuations, limitations in manual production technology, and competitive pressures. As a mitigation measure, the company diversifies its products and adopts contemporary technology to efficiently increase its operational capacity. Strategic synergies with the government and the private sector were also strengthened to expand promotional access. This success was also supported by fundamental pillars in the form of cultural heritage and intergenerational craftsmanship. Through a combination of organized management, sustainable design innovation, and adaptation to market dynamics, the company has succeeded in establishing itself as a competitive creative industry player on the national and global stage.

The idea of functions in mathematics and how they are used to build different mathematical models are methodically examined in this publication. Functions are basic mathematical constructs that show relationships between two or more variables in explicit equations, tables, or graphs. The fundamental building blocks of mathematics are functions, which enable the representation of variable interdependencies in a variety of formats, including formal mathematical expressions, data tables, and graphs. The classification of function types, such as linear, quadratic, and exponential, and their corresponding uses in the domains of physics, economics, and epidemiology are the main topics of this study, which takes a descriptive and exploratory approach.This article illustrates how knowledge of functions greatly aids processes through a review of the literature and an examination of secondary sources from current textbooks and academic publications. of judgment, forecasting, and analysis. In both academic and professional contexts, mathematical modeling based on functions has demonstrated efficacy in accurately and efficiently representing real-world occurrences. Thus, the significance of incorporating functional thinking into STEM education and multidisciplinary practice is emphasized in this essay.

This research is motivated by the importance of school fund management as a post-conflict education recovery strategy in Dili City, particularly at SMP Akadiru-hun, which faces challenges such as damaged facilities, limited teacher capacity, and weak financial governance. A literature review indicates that Post-Conflict Education Theory and Educational Financial Management Theory emphasize efficiency, priority, transparency, and accountability as the foundation for education system recovery. This study used a mixed methods approach, with quantitative data collected in the form of questionnaires from 20 respondents and qualitative data collected through in-depth interviews with four key informants. The descriptive statistical analysis showed an average score of 17.85 for the Education System Recovery and Strengthening Index. Efficiency and Priority of Fund Use was 17.45, and Transparency and Accountability of Fund Management was 18.75. Pearson correlation analysis showed a moderate positive relationship between Education System Recovery and Strengthening and Transparency and Accountability in Fund Management (r = 0.360). In contrast, the relationships between Education System Recovery and Strengthening and Efficiency and Priority of Fund Use (r = -0.014) and Efficiency and Priority of Fund Use and Transparency and Accountability in Fund Management (r = 0.056) were very weak and insignificant. Qualitative findings confirm that school fund management that follows government standard operating procedures contributes to post-conflict education recovery, although internal transparency still needs improvement. This study concludes that efficient, targeted, and accountable school fund management can be an effective strategy in post-conflict education recovery.

This study aims to provide a comprehensive analysis of Predictive Policing and its implications for law enforcement transformation in Indonesia, based on an extensive review of its global applications, benefits, and challenges. The study uses qualitative literature and international case study review methods to assess the impact and complexity of implementing digital technologies such as artificial intelligence (AI), machine learning, and big data analytics within a Predictive Policing framework. The results of this review highlight that while Predictive Policing offers significant potential for proactive crime prevention and increased operational efficiency, its implementation is consistently fraught with critical legal, ethical, and technical challenges, including regulatory gaps, risks of algorithmic bias, and data privacy concerns, which are particularly relevant to Indonesia. The findings underscore that public trust and police legitimacy in the context of adopting such technologies are strongly influenced by transparency, strong accountability mechanisms, and community involvement in shaping their use. This study contributes to the growing discourse on digital policing in developing countries and culminates in practical policy recommendations designed to guide the Indonesian police towards the development and implementation of Predictive Policing models that are effective, efficient, and fundamentally respectful of legal and human rights principles.

The computer laboratory is an essential facility in higher education that requires efficient management of usage and environmental conditions to support the teaching and learning process. However, laboratory management at the Kalimantan Business and Technology Institute is still carried out manually, including scheduling, room condition monitoring, and report creation, which is prone to errors and time-consuming. This study aims to develop an Internet of Things (IoT)-based laboratory monitoring system prototype to improve the effectiveness of computer laboratory management. The approach used is Research and Development (R&D) with a prototype development model, allowing for design adjustments based on user feedback iteratively. Data were collected through observations, interviews, and document studies related to laboratory conditions and analyzed to determine the main system features, such as temperature and humidity monitoring, scheduling, and report generation. The results of the study show that the developed prototype can structure the laboratory workflow, provide real-time monitoring, facilitate schedule management, and simplify report preparation. This prototype is expected to serve as a foundation for developing a more comprehensive application, improving data accuracy, time efficiency, and the quality of laboratory management.

The computer laboratory is an essential facility in higher education that requires efficient management of usage and environmental conditions to support the teaching and learning process. However, laboratory management at the Kalimantan Business and Technology Institute is still carried out manually, including scheduling, room condition monitoring, and report creation, which is prone to errors and time-consuming. This study aims to develop an Internet of Things (IoT)-based laboratory monitoring system prototype to improve the effectiveness of computer laboratory management. The approach used is Research and Development (R&D) with a prototype development model, allowing for design adjustments based on user feedback iteratively. Data were collected through observations, interviews, and document studies related to laboratory conditions and analyzed to determine the main system features, such as temperature and humidity monitoring, scheduling, and report generation. The results of the study show that the developed prototype can structure the laboratory workflow, provide real-time monitoring, facilitate schedule management, and simplify report preparation. This prototype is expected to serve as a foundation for developing a more comprehensive application, improving data accuracy, time efficiency, and the quality of laboratory management.

This community service activity was motivated by the limited capacity of village officials in providing government administration services, particularly in managing correspondence, archiving documents, and implementing standard operating procedures for services. This condition has resulted in the suboptimal quality of public services at the village level. The objective of this activity was to improve the capacity and competence of village officials in providing village government administration services to be more effective, efficient, and accountable. The method used was a participatory approach through the stages of problem identification, joint planning, regulation socialization, technical training, service simulations, and implementation assistance. The subjects of the activity were officials from Kadur Village, North Rupat District, Bengkalis Regency. The results of the activity showed an increase in the officials' understanding and skills in administrative management, the development of a more standardized administrative document format, and a growing collective awareness of the importance of orderly administration as part of good governance. In addition, internal leadership initiatives emerged that encouraged sustainable change within the village government environment. Overall, this activity had a positive impact on improving the quality of village administration services and was the first step towards a more professional transformation of village governance.

This study presents a comprehensive comparative analysis of four traditional machine learning algorithms Decision Tree, Random Forest, K-Nearest Neighbors, and Support Vector Machine for Android malware detection using the preprocessed TUANDROMD dataset comprising 4,465 instances and 241 features representing both static and dynamic application characteristics. Motivated by the limitations of conventional signature-based and hybrid detection methods, especially in managing imbalanced datasets and detecting emerging malware variants, the study employed SMOTE to ensure balanced training data and fair model evaluation. The dataset was divided into 80% training and 20% testing subsets, and models were assessed using key performance metrics including accuracy, precision, recall, F1-score, and ROC AUC. The findings revealed that the proposed Random Forest model outperformed the other classifiers, achieving an accuracy of 0.993, precision of 0.992, recall of 1.000, F1-score of 0.996, and a near-perfect ROC AUC of 0.9998 surpassing state-of-the-art approaches. These results affirm the superior predictive capability, consistency, and robustness of the Random Forest algorithm in Android malware detection. The study concludes that base models, when integrated with class-balancing techniques, provide reliable and efficient malware detection across imbalanced datasets. For future research, the study recommends exploring advanced hybrid or ensemble frameworks that integrate Random Forest with deep learning architectures or other meta-heuristic optimization techniques to further enhance detection accuracy, adaptability, and resilience against rapidly evolving Android malware threats.

This study presents a Graph-Augmented Isolation Forest (GAIF), an unsupervised anomaly-detection framework for analyzing mobile user behavior. The proposed framework represents users and behavioral attributes as a user–feature bipartite graph, enabling the capture of relational dependencies that are not explicitly modeled in conventional vector-based approaches. Low-dimensional user representations are learned through Node2Vec and Graph Sample and Aggregate (GraphSAGE), and the resulting embeddings are subsequently processed by an Isolation Forest to produce anomaly scores. Experiments are conducted on a Mobile Device Usage and User Behavior dataset comprising 700 user profiles derived from application-level behavioral indicators. The dataset is treated as a behavioral abstraction rather than as a malware classification benchmark. A consistent 80:20 stratified train–test split is employed, with all learning-capable operations restricted to the training data to mitigate information leakage. Detection performance is evaluated post hoc using precision, recall, F1-score, and area under the curve (AUC) metrics. Under the evaluated setting, GAIF achieves an F1-score of 0.94 and an AUC of 0.97, demonstrating improved anomaly detection effectiveness relative to representative unsupervised baseline methods. These results are obtained on a static, proxy dataset and should not be interpreted as evidence of real-time deployment capability. Model interpretability is supported through post-hoc Uniform Manifold Approximation and Projection (UMAP) visualizations of the learned embeddings, providing structural insights into anomalous user behavior. Overall, the findings indicate that integrating graph-based representation learning with isolation-based anomaly scoring constitutes a computationally efficient approach for unsupervised mobile user behavior anomaly detection within the scope of this study.