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This Community Service Program (PkM) was motivated by the low quality of administrative order in the bookkeeping and document management system of Dasawisma Anggur Merah 3 RT 08, Bukit Timah Village, characterized by unsystematic data recording, weak documentation practices, and limited understanding of accountable and organized administration. The objective of this program was to strengthen the capacity of Dasawisma in implementing orderly administration through the development of structured, transparent, and sustainable bookkeeping and documentation systems. The method applied was a participatory community organizing approach, implemented through socialization, technical assistance, simple bookkeeping training, hands-on documentation practices, and participatory evaluation. The results indicate a significant improvement in the understanding of Dasawisma members regarding the importance of administrative order, behavioral changes in record-keeping and document management, the establishment of a more structured bookkeeping system, and the emergence of collective awareness of administration as a foundation for program planning and decision-making. In addition, local leaders (local leaders) emerged as driving forces in strengthening administrative management and institutional capacity. This program contributes to the creation of more professional, accountable, and sustainable governance of Dasawisma organizations in community-based empowerment initiatives.

The low quality of Dasawisma administrative management remains a major challenge in supporting the effectiveness of the Family Empowerment and Welfare (PKK) programs at the community level. This problem is characterized by poorly organized family data records, weak documentation of activities, and limited understanding among administrators regarding the strategic role of administration as a basis for planning and decision-making. This Community Service Program (PKM) aims to improve the quality of Dasawisma administration through collaboration between higher education institutions and Dasawisma groups as an effort to strengthen community organizational governance. The method employed is a participatory community organizing approach, encompassing stages of joint planning, technical administrative assistance, training, and reflective evaluation. The results indicate an improvement in administrators' understanding and skills in managing administrative tasks, the establishment of more systematic data and activity recording systems, and increased participation and organizational ownership among Dasawisma members. Furthermore, the program encouraged the emergence of local leadership and collective awareness of the importance of as an instrument for institutional strengthening. Overall, collaboration with higher education institutions proved effective in promoting sustainable improvements in Dasawisma administrative governance.

The integration of Artificial Intelligence (AI) in education presents both challenges and opportunities for 21st-century learning. This study explores the transformative potential of AI in enhancing personalized learning, adaptive assessments, and intelligent tutoring systems. The research aims to identify the key barriers to AI adoption in educational settings, including ethical concerns, data privacy, and technological infrastructure. Utilizing a qualitative approach, data were collected through literature reviews and expert interviews. The findings indicate that while AI can significantly improve learning outcomes and administrative efficiency, its implementation requires strategic planning, teacher training, and regulatory frameworks. This study highlights the importance of balancing AI-driven innovation with ethical considerations to maximize its benefits in education.

Macao's judicial system is rooted in the Portuguese judicial system (including Spain, Belgium and the Netherlands, all of which are rooted in the French judicial system), namely the inquisitor or non adversarial type of judiciary. is the term Magistrate is used in various systems of government and statutes to refer to the civil officers who administer the law. Both Indonesia and Macau adhere to the European continental legal system. However, in the role of the Prosecutor's Office and the Prosecutor's Office have differences and similarities in the implementation of their duties, functions and obligations. With this study of the role of the Prosecutor's Office, it is hoped that it can provide inspiration for the Attorney General's Office in Indonesia so that it can correct existing deficiencies. This research is a normative research (normative approach), that is, besides relying on normative research, the law is also coupled with a theoretical approach. Furthermore, in analyzing the data, a qualitative approach was used and it was also based on library-based studies, which means that the materials needed for research must be available in libraries, archives and databases, laws and other documents.

The information system is one of the strategic means in patient care-oriented management. So far, Regional Hospital RAA Soewondo Pati has never conducted an evaluation related to the management information system (HMIS), so it is not known that the existing system is effective and efficient to answer patient needs. The purpose of this study was to determine the effect of the hospital management information system with the structural equation modeling method approach. This research is a case study research with data collection method using a questionnaire. The data that has been collected is then analyzed using SEM analysis. The results of his research stated that the quality of the system had a significant positive effect on the use of information systems. There is a significant effect of system quality on user satisfaction. There is a significant positive effect between the quality of information on the intensity of the use of information. In this study, the intensity of the use of information systems does not play a role in increasing user satisfaction in using information systems. User satisfaction has a significant positive effect on net benefits.

Abstract: Wamena is one of the areas with the potential to develop a wide variety of food crops and plantations in large and medium quantities because it is supported by its natural conditions. Wamena, especially throughout Jayawijaya Regency and even other Regencies in the Central Highlands of Papua, are known for their organic farming. In order to support and maintain the productivity of organic farming systems, as an academic activist in the agricultural sector, it is necessary to conduct training on making organic fertilizer through the use of banana weevils known as Local Microorganism Fertilizer (MoL). This training was based on observations of farmer groups in the Wesaput district, where all farmers in the farmer groups had never used organic liquid fertilizers or inorganic fertilizers as additional nutrients to increase the growth and production of their agricultural products. Therefore we try to provide understanding and approaches to farmer groups through community service on how to make Local Microorganism Liquid Fertilizer in order to increase the yields of local farmers in the Wesaput District, especially the village of Kama. As a result of this activity, we saw that the farmer group community in Wesaput gave a good response so they asked for similar activities to be carried out again so that the farmer group community was more independent in making and using liquid organic fertilizer using the natural resources around them.

This study examines the implications of legal policies on the social structure of village communities in rural areas of Indonesia. Using a qualitative approach based on literature review, this research analyzes how the implementation of various legal policies affects social dynamics, power relation patterns, and local institutions in rural areas. The results show that legal policies, especially those related to decentralization, agrarian reform, and recognition of indigenous communities, have resulted in significant changes in rural social structures. However, their impact varies depending on local context and community capacity in responding to changes. This study identifies transformations in local leadership, restructuring of access to resources, and shifts in traditional value systems. These findings highlight the importance of a more contextual and participatory approach in the formulation and implementation of legal policies in rural areas.

This study investigated the role of financial literacy and social influence in the actual usage of digital payment as a fintech service systems in an effort to gather information and the degree of risk that users will experience, taking into account the advantages received. This study utilized a descriptive qualitative strategy coupled with a literature review method for data collection, namely the acquisition of data from publications and journals pertaining to the usage of digital payment systems. The data analysis technique employs the approach of deriving conclusions by objectively, systematically, and generally recognizing the many specific qualities of a message. The findings indicated that financial literacy and social influence have a substantial impact on the utilization of digital payment systems. The usage of digital payment services as a type of risky financial behavior raises knowledge and comprehension of financial goods, which will affect judgments on whether or not to utilize these products. This study is limited to a literature review and paves the way for future empirical studies to analyze the elements and dimensions of financial literacy and social influence in the usage of digital payment services in more depth.

Analysis of E-Learning Information Systems is certainly one of the efforts that can be made to overcome problems that arise in the process of implementing teaching and learning activities (KBM) in each school. Soft System Methodology (SSM) analysis is a method used to help model unstructured problems. The SSM methodology is suitable for assisting an organization in defining their goals and then building a human activity system to achieve those goals. The relationship between the internal and external academic community involves teachers, parents of students, students and school administrators to develop information for supervision and student Development approaches. E-Learning analysis using the Soft Systems Methodology (SSM) approach is expected that the E-Learning information system will be able to answer existing challenges and problems. This study carried out a CATWOE analysis of the holons and elements (Client, Actor, Transformation, World View, Owner, Environment) found in case studies, building E-Learning models by applying the roles of humans, processes and technology as knowledge-forming elements, then analysis. holons based on the modeling of the resulting Knowledge. The analysis of E-Learning needs is answered by the need between the internal staff of teachers, employees, counseling and external students and parents to improve the quality of teaching and learning activities and student development.

Destination from study this that is for test variable Interest Rates, Inflation , Total Money Supply and GDP how much big in take effect to EXCHANGE variable . And for knowing is panel level _ ethnic group interest , inflation , money supply , unemployment , investment , and GDP have an effect positive and significant to exchange rates in America, Australia, China, Canada , Indonesia, Japan , South Korea, Malaysia, Singapore, Russia and Thailand. Approach study this is study associative / quantitative with the Simultaneous model and the ARDL Panel where aim see linkages Among independent variables and dependent variables that spread panel in Top Major Exchange Rate countries in 11 APEC Countries. Study this conducted against 11 countries with exchange rate strongest in the APEC countries in the world (America, Australia, Malaysia, Singapore, South Korea, Japan , China, Indonesia, Canada , Russia , and Thailand). The ARDL Panel Analysis results show that the Leading Model Control indicators Exchange Rate System Through the Post -Covid-19 Open Economy Model, the Top Major Exchange Rates in Eleven Apec Countries (Varies) are JUB and GDP. this _ due to the results data processing , the ROE variable is variable that gives stable influence , ie _ effect on the inside period long nor period short in give influence significant to score exchange , which is assessed from level short run and long run stability in the table result .  

This article discusses mission studies in the context of the Antioch church. Mission problems that are increasingly evident in the practical realm need to be strengthened by analytical studies based on the biblical context as the foundation. By using a qualitative approach, descriptive method and supported by literature studies as a means of data collection. The result obtained is that the church needs to follow the example of the Antioch congregation in sending its congregation to mission and equipping them with relevant methods, systems and personalities.     

This article discusses mission studies in the context of the Antioch church. Mission problems that are increasingly evident in the practical realm need to be strengthened by analytical studies based on the biblical context as the foundation. By using a qualitative approach, descriptive method and supported by literature studies as a means of data collection. The result obtained is that the church needs to follow the example of the Antioch congregation in sending its congregation to mission and equipping them with relevant methods, systems and personalities.     

Abstrack: The rapid development of technology affects various aspects of life, one of the effects of technological developments is felt in the process of data management systems which are almost entirely digital-based, this affects the availability of data recorded in digital form which is very abundant, resulting in the creation of a digital system known as Big Data. On the other hand, the rapid development of technology creates new problems, problems that often arise in the current era regarding the protection of personal data. Regulations related to the protection of personal data, both in government and private institutions, have been regulated in several laws and regulations, but in their implementation the rules governing personal data protection are not sufficient to provide protection for personal data collected in Big Data, both in government institutions and private. Therefore, this study analyzes the alignment of the use of Big Data technology with public or consumer privacy regarding the protection of personal data. The research method uses a literature review with a conceptual-analytic approach. The data used are various journals related to the topic the author is studying, related laws and regulations and several news sources from print and electronic media. The use of big data must be balanced with strong protections related to personal data protection, in practice in Indonesia the lack of legal rules related to personal data protection has resulted in many cases of data leakage.

These traditional agricultural systems have proven effective in maintaining local food security for centuries, they now face various challenges. Pressures from population growth, land-use change, and climate change threaten the sustainability of many traditional agricultural systems. The purpose of this study is to show that the integration of local wisdom in the modern agricultural system has also begun to receive recognition in national policies. Qualitative research uses a descriptive approach to collect data systematically, factually, and quickly according to the description when the research is carried out. The results of this study show that with the right approach, recognition and protection of customary rights can be an important foundation in building a food security system that is not only productive, but also ecologically sustainable and socially just.

Background: Coronary artery disease (CAD) is the main cause of death in the world. In this study we assessed the ankle-brachial index (ABI) as a screening tool for CAD. Methods: Between 2020 and 2023, a large population-based cross-sectional study was conducted on 4,207 new patients referred to Harapan Kita Hospital. The patients underwent selective coronary angiography via a radial artery approach. ABI was calculated for all patients. Researchers compared ABI with coronary angiography results to determine the specificity and sensitivity of ABI as a screening tool. Results: Abnormal ABI was significantly more common in patients with proven severe CAD (893, 54.8%) than in patients with proven mild CAD (33, 4.7%) or no CAD (94, 5.3% ). The specificity of the ABI was 95.3% and the sensitivity was 54.8%. ABI is associated with risk factors such as smoking, male gender, hypertension, diabetes mellitus and dyslipidemia. Conclusion: ABI can be used as a screening test to prevent CAD with a specificity of 95.3%. We need to consider risk factors other than ABI to improve screening sensitivity. Multidimensional scoring systems should consider risk factors and other noninvasive tests in addition to ABI to develop an ideal screening system for CAD

Face recognition is an area that is still being researched and improved for various purposes such as attendance, population data collection, security systems and others. Two methods that are often used for face recognition applications are artificial intelligence methods, especially back-propagation neural networks (ANN) and learning vector quantization. Both of these techniques are directed learning techniques that are widely used to identify distinctive patterns, namely grouping patterns into groups of patterns, making them ideal for use in facial recognition applications. In this application, preprocessing of the input image includes the detection process of scaling, grayscale, edged with the sobel and threshold methods, carried out before the image is processed in ANN. Meanwhile, the ANN approach used to identify faces involves the Backpropagation method and the Learning Vector Quantization method. The findings of this analysis are a comparison of the backpropagation neural network method and quantization of the learning vectors of face recognition used to assess variations, limitations, strengths and optimal results of the two techniques for use in facial recognition systems.