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This community service activity aims to strengthen teachers' capacity to manage deep learning through the utilization of artificial intelligence (AI) in elementary school classrooms. The rapid development of AI technology provides opportunities for teachers to design more personalized learning, conduct assessments efficiently, and make data-driven learning decisions. The program is implemented in three stages: preparation, execution, and evaluation. The preparation stage includes the development of training modules and mapping relevant AI applications to support deep learning. The execution stage consists of workshops, hands-on practice using AI applications, and collaborative development of teaching materials by teachers. Evaluation is conducted through reflective assessments, task performance evaluations, and follow-up interviews. The results of the activity show significant improvements in teachers' understanding of AI-based deep learning management, including the ability to use AI for lesson planning, formative assessment, and analyzing students' learning progress. Teachers also reported increased confidence in integrating AI into teaching activities and recognized the benefits of AI in promoting students' higher-order thinking skills. This program demonstrates that strengthening teachers' competencies in utilizing AI can enhance the quality of deep learning management in elementary schools.

This community engagement program aims to analyze and strengthen institutional synergy among the Special Crimes Division, the Civil and Administrative Affairs Division, and the Intelligence Division of the Palangka Raya District Prosecutor’s Office through a community-organizing framework and participatory collaboration. The initiative stems from a strategic need to optimize coordination, enhance the effectiveness of law enforcement, and foster the development of an integrated work pattern that is responsive to the complexities of contemporary legal issues. Using the participatory action research (PAR) method, the program was implemented through participatory assessments, thematic discussions, field observations, case simulations, and the strengthening of legal administration, all of which collectively contributed to substantial improvements in analytical capacity, professionalism, and cross-divisional communication patterns. The findings indicate that synergy across divisions not only enhances the technical efficiency of case handling but also generates institutional social change through the establishment of new work routines, the emergence of local leaders, and the strengthening of internal social capital. Theoretically, these outcomes reinforce perspectives from collaborative governance, organizational learning, and institutional change, which emphasize that institutional transformation can only be achieved through functional integration, knowledge exchange, and the cultivation of a collaborative institutional culture. This program recommends the institutionalization of coordination procedures, the utilization of information technology as a tool for data integration, and the implementation of continuous synergistic training to sustain the changes achieved. Consequently, this engagement contributes both empirically and conceptually to the development of an adaptive, integrated law enforcement model aimed at improving the quality of public service delivery.

This community engagement program aims to analyze and strengthen institutional synergy among the Special Crimes Division, the Civil and Administrative Affairs Division, and the Intelligence Division of the Palangka Raya District Prosecutor’s Office through a community-organizing framework and participatory collaboration. The initiative stems from a strategic need to optimize coordination, enhance the effectiveness of law enforcement, and foster the development of an integrated work pattern that is responsive to the complexities of contemporary legal issues. Using the participatory action research (PAR) method, the program was implemented through participatory assessments, thematic discussions, field observations, case simulations, and the strengthening of legal administration, all of which collectively contributed to substantial improvements in analytical capacity, professionalism, and cross-divisional communication patterns. The findings indicate that synergy across divisions not only enhances the technical efficiency of case handling but also generates institutional social change through the establishment of new work routines, the emergence of local leaders, and the strengthening of internal social capital. Theoretically, these outcomes reinforce perspectives from collaborative governance, organizational learning, and institutional change, which emphasize that institutional transformation can only be achieved through functional integration, knowledge exchange, and the cultivation of a collaborative institutional culture. This program recommends the institutionalization of coordination procedures, the utilization of information technology as a tool for data integration, and the implementation of continuous synergistic training to sustain the changes achieved. Consequently, this engagement contributes both empirically and conceptually to the development of an adaptive, integrated law enforcement model aimed at improving the quality of public service delivery.

The growth of the elderly population reaching 12% requires efforts that not only focus on weaknesses, but also the potential of the elderly. This study aims to describe the potential and strengths of the elderly, analyze the role of LKS LU Payung Besurek in implementing the Strengths Perspective and the Asset-Based Community Development (ABCD) model in assisting the elderly. The research approach uses descriptive qualitative, six people consisting of; the head of the institution, social workers, and four assisted elderly determined by purposive sampling technique. Data collection uses interviews, observation, and documentation. Data analysis uses the Miles and Huberman model, namely, the results of the study show that the assisted elderly LKS LU have physical, economic, social, spiritual, and psychological potential. The elderly are still able to work simply, are active in religious, social, economic activities and have good life motivation.The institution plays a role through spiritual, social, health, and economic development, including skills training. The Strengths Perspective approach is seen in efforts to explore and strengthen the potential of the elderly, while the application of the ABCD model is reflected in five principles: community leadership, social relationships, asset utilization, place-based, and inclusion without discrimination. This study concludes that the eld erly can remain independent, productive, and empowered if they receive support from institutions, families, and the social environment.

This study examines the influence of good governance principles on village fund utilization effectiveness in Indonesia. Using a quantitative approach with Structural Equation Modeling - Partial Least Squares (SEM-PLS), we analyze data from 385 village officials across five provinces in Indonesia. The research integrates stewardship theory and agency theory to explain how transparency, accountability, participation, and rule of law affect village fund management performance. Results demonstrate that transparency (β=0.342, p<0.01) and accountability (β=0.287, p<0.01) significantly enhance village fund utilization effectiveness, while participation (β=0.219, p<0.05) shows moderate influence. Rule of law (β=0.156, p>0.05) does not significantly affect fund utilization, suggesting implementation challenges. The model explains 68.4% variance in village fund utilization effectiveness (R²=0.684). This study contributes to governance literature by providing empirical evidence from emerging economies and offers practical implications for policymakers to strengthen village-level financial management through enhanced transparency mechanisms and accountability systems. The findings highlight the critical role of good governance in achieving sustainable rural development goals.

This community service program was carried out in Karangharja Village with the aim of strengthening environmental awareness, promoting tree-planting initiatives, and establishing the foundation for household-level food security. The program employed the Asset Based Community Development (ABCD) approach through the stages of discovery, dream, design, define, and destiny, ensuring that all activities were rooted in local potential and community participation. The results indicate an increase in residents’ involvement in reforestation, productive home-garden utilization, and stronger collaboration between village authorities, farmer groups, Islamic educational institutions, and local community organizations. Furthermore, the community began forming self-help groups to ensure sustainability, while Islamic-value-based environmental education successfully encouraged behavioral changes and early ecological awareness among children. These findings confirm that the ABCD approach is effective in enhancing community-based food security and environmental awareness.

This study aims to examine the influence of capital structure and liquidity on the profitability of manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. Capital structure is represented by the Debt to Equity Ratio (DER), while liquidity is measured using the Current Ratio (CR). Profitability is assessed through Return on Assets (ROA) and Return on Equity (ROE). This research employs a quantitative approach with a causality design and uses multiple linear regression as the analytical method. The sample consists of three manufacturing companies—PT Chandra Asri Pacific Tbk (TPIA), PT Aneka Tambang Tbk (ANTM), and PT Gudang Garam Tbk (GGRM)—selected through purposive sampling based on predetermined criteria. Prior to hypothesis testing, classical assumption tests including normality, multicollinearity, heteroscedasticity, and autocorrelation were conducted, and all variables met the requirements for regression analysis. The findings reveal that DER has a negative and significant effect on both ROA and ROE, indicating that higher leverage reduces the company’s ability to generate profits. Conversely, CR has a positive and significant effect on profitability, suggesting that companies with stronger liquidity positions are more capable of sustaining operational activities and improving financial performance. The F-test results show that DER and CR simultaneously have a significant influence on profitability. Furthermore, the coefficient of determination demonstrates that more than half of the variation in profitability can be explained by the two independent variables. Overall, the study emphasizes the importance of maintaining an optimal balance between debt utilization and liquidity management. Effective capital structure policies and sufficient liquidity levels are essential for enhancing profitability and ensuring financial stability within the manufacturing industry. These findings provide valuable implications for corporate decision-makers, investors, and stakeholders in formulating financial strategies that support long-term performan.  

The development of artificial intelligence (AI) technology offers new opportunities to enhance the effectiveness of teaching and learning processes. However, the level of understanding and utilization of AI in vocational school environments remains varied. The socialization activity on the use of AI at SMK Negeri 4 Padangsidimpuan was carried out as an effort to improve digital literacy, pedagogical competence, and the skills of both students and teachers in effectively utilizing AI technology. The activity methods included material presentation, demonstrations of educational AI applications, and hands-on practice using several AI platforms for material creation, data analysis, and learning support. The results showed an improvement in teachers' and students' understanding of basic AI concepts, their ability to use AI tools in teaching, and increased motivation to integrate AI into the learning process. This socialization activity is expected to serve as an initial step in developing an adaptive, innovative, and technology-based learning ecosystem that aligns with the needs of the digital era.

Social media has become the main platform for university students to express themselves and build professional reputation. However, many students have not yet been able to utilize social media positively to support their academic and career growth. This community service aimed to strengthen students’ understanding and skills in developing personal branding through effective social media utilization. The program was implemented through workshops, discussions, and mentoring for students of the Faculty of Economics and Business, Universitas Negeri Makassar. Pre-test and post-test evaluations were conducted to assess participants’ knowledge improvement. The students’ average score increased, indicating significant improvement. Majority of participants began applying personal branding strategies on their social media accounts. The activity effectively enhanced students’ awareness and ability to build professional online identities.

Corn is one of the potential agricultural commodities in Bah Joga Village however, its utilization has mostly been limited to traditional products, resulting in relatively low economic value. This study aims to introduce corn ribs as an innovative food product derived from local corn, which is expected to strengthen the empowerment of micro, small, and medium enterprises (MSMEs) in the village. A descriptive qualitative approach was employed through observation, interviews, and literature review related to food innovation and small business development. The findings indicate that corn ribs have promising market potential since they combine flavors that suit modern consumer preferences with raw materials that are easily accessible locally. Furthermore, processing corn into corn ribs can increase the selling value of agricultural products, open new business opportunities, and enhance the competitiveness of local MSMEs. Therefore, this innovation not only contributes to the diversification of food products but also supports the economic improvement of Bah Joga Village through the development of creative enterprises based on local resources.

Social media has become the main platform for university students to express themselves and build professional reputation. However, many students have not yet been able to utilize social media positively to support their academic and career growth. This community service aimed to strengthen students’ understanding and skills in developing personal branding through effective social media utilization. The program was implemented through workshops, discussions, and mentoring for students of the Faculty of Economics and Business, Universitas Negeri Makassar. Pre-test and post-test evaluations were conducted to assess participants’ knowledge improvement. The students’ average score increased, indicating significant improvement. Majority of participants began applying personal branding strategies on their social media accounts. The activity effectively enhanced students’ awareness and ability to build professional online identities.

Islamic Religious Education plays a pivotal role in the formation of students’ character, particularly within the setting of vocational health education. In light of the introduction of the Love-Based Curriculum initiated by the Indonesian Ministry of Religious Affairs, there is a pressing need for instructional strategies that effectively integrate the values of love, compassion, tolerance, and empathy into PAI teaching. This study seeks to provide a comprehensive description and critical analysis of the love-oriented PAI learning model implemented at SMK Kesehatan Athalla Putra Palembang, while also examining the challenges encountered and the solutions undertaken in its execution. The research adopts a qualitative field study approach, with data collected through classroom observations, in-depth interviews with teachers and students, as well as document analysis. The findings indicate that several strategies have been employed, including interactive lectures, collaborative group discussions, socially oriented project-based learning, and the utilization of media designed to promote compassion. The successful implementation of the Love-Based Curriculum in this context is shaped by factors such as teacher competence, institutional support, and the adequacy of educational facilities. Nevertheless, a number of obstacles were identified, namely time constraints, limited professional training for teachers, and resistance to pedagogical change. Despite these challenges, the applied strategies proved to be effective in enhancing both student motivation and character development. Accordingly, it is recommended that the institution reinforce teacher professional development programs, establish a more structured syllabus, and institutionalize love-based values within both assessment practices and the broader school culture.

Toddlers are a vulnerable age group to various types of diseases due to their immune systems that are still developing. Limited utilization of medical record data and the lack of structured information regarding disease patterns in toddlers based on age and causative factors have resulted in suboptimal prevention and treatment efforts. Therefore, an approach is needed to systematically classify toddler disease data. This study aims to apply data mining techniques using the clustering method with the K-Means algorithm to group types of diseases in toddlers based on age and causative factors. The variables used in this study include toddler age, type of disease, and causative factors. The data were obtained from RSUD Dr. R. M. Djoelham Binjai and processed using MATLAB software with three clusters. The results show that the K-Means algorithm successfully groups toddler disease data into three clusters with different characteristics. The first cluster is dominated by toddlers aged 0–11 months with appendicitis caused by genetic factors. The second cluster is dominated by toddlers aged 1–3 years with diarrhea caused by environmental factors and has the largest number of members. Meanwhile, the third cluster is dominated by toddlers aged 0–11 months with sore throat caused by environmental factors. The clustering results indicate a relationship between toddler age, disease type, and causative factors, which can be used as supporting information for decision-making in the prevention and treatment of toddler diseases.

Carbonate rocks are one of the most important geological resources with a significant role in various industrial sectors, particularly as the main raw material in cement, lime, and construction industries. This study aims to review the characteristics, quality, and industrial potential of three major carbonate rock types—limestone, dolomite, and marble—based on relevant scientific literature. The research employed a literature review method using a qualitative-descriptive approach through analysis and synthesis of previous studies. Data were collected from scientific publications addressing the mineralogical, chemical, and physical aspects of carbonate rocks and their implications for industrial performance. The findings indicate that the quality of carbonate rocks is largely determined by mineral composition (calcite and dolomite), chemical purity (CaO and MgO), and the presence of impurities such as silica, alumina, and iron oxides. High-purity limestone rich in calcite is identified as the most efficient raw material for cement and lime industries due to its stable processing behavior and lower energy requirements. Conversely, dolomite with high magnesium content requires process adjustments to prevent excessive MgO formation during calcination. Marble, both in natural and waste powder form, shows promising potential as a supplementary material in sustainable cement production. Overall, this study emphasizes that understanding the mineralogical and chemical variations of carbonate rocks is essential for optimizing their processing strategies and promoting sustainable industrial utilization 

This community service activity aims to enhance supply chain efficiency and expand market access for Micro, Small, and Medium Enterprises (MSMEs) in Wabula Satu Village, Buton Regency, Southeast Sulawesi. The main problems faced by MSMEs include inefficient supply chain management, limited production coordination, and low utilization of digital technology for product marketing. The program was implemented using an educational-participatory approach through a series of training sessions, simulations, and mentoring activities. The results revealed significant improvements in participants’ understanding of supply chain management, production efficiency, and digital marketing skills, particularly through social media and marketplace platforms. MSMEs also showed progress in branding and product packaging, while collaborative networks were established to support collective raw material procurement and joint distribution. This program has contributed to improving local business competitiveness, productivity, and sustainability. Moreover, it demonstrates an effective community empowerment model based on technology adoption and collaboration to strengthen village economic resilience in the digital era.

Waste management remains one of the major challenges in urban areas, including Rungkut Menanggal Subdistrict, Surabaya. Although two active waste banks already exist, community participation and the optimization of social and material assets remain limited. This community empowerment program aims to optimize local potential through the strengthening of social and material assets based on waste bank activities using the Asset-Based Community Development (ABCD) approach. This approach emphasizes the utilization of existing community strengths and resources to create sustainable social transformation. The program was carried out through five participatory stages: discover, dream, design, define, and destiny. The results show a significant improvement in the community’s capacity for household waste management. Residents were able to process approximately 100 kg of organic waste into compost and create creative products such as decorative bags made from plastic waste. Moreover, collaboration among local institutions such as Karang Taruna Arkidli, PKK, Posga Venus, Posga Bumi, and KSH increased, strengthening collective action in environmental management. This program demonstrates that the ABCD approach effectively enhances social capital, increases community participation, and generates both economic and environmental benefits. Waste bank management based on local asset empowerment can serve as a model for inclusive and adaptive community development in urban environmental contexts.

This research is entitled "Simulation of Cropping Patterns (Agroforestry with Horticulture) to Increase Land Productivity with Permaculture System", which aims to develop an effective simulation method for designing cropping patterns in increasing permaculture land productivity and providing simulation results and their practical application in land design. This research was conducted from March to July 2024, located at Jalan Magelang Km 5.6, Kutu Tegal, Sinduadi, Mlati, Sleman, Special Region of Yogyakarta 55284. The simulation of cropping patterns was carried out using the SketchUp computational model and Andrew Marsh Simulation, and was evaluated based on aspects of the utilization of sunlight and plant growing space. Through this simulation method, the optimal combination of plants in the permaculture system was found. The simulation results were then analyzed and evaluated in the field to assess their success in increasing land productivity. Each cropping pattern shows unique characteristics in utilizing sunlight, growing space, and soil nutrients optimally, thus supporting more sustainable and productive land management.

Low Birth Weight (LBW) is one of the leading causes of neonatal mortality and contributes to an increased risk of growth and developmental disorders in later life. Maternal nutritional status during pregnancy and the utilization of antenatal health services are important factors influencing fetal growth and development. Pregnant women with poor nutritional status are at higher risk of delivering low birth weight infants due to insufficient intake of essential nutrients required during pregnancy. In addition, inadequate utilization of antenatal care services may result in delayed detection and management of pregnancy-related complications. This study aimed to determine the relationship between maternal nutritional status and the utilization of health services with the incidence of LBW. The research employed an observational analytic design with a cross-sectional approach. The study population consisted of all women who delivered in the working area of Puskesmas X in 2026. A total of 80 respondents were selected using purposive sampling. Data were collected from maternal and child health (MCH) books and medical records and analyzed using the Chi-square test. The results showed a significant relationship between maternal nutritional status and the incidence of LBW (p=0.002), as well as between the utilization of health services and the incidence of LBW (p=0.004). It can be concluded that maternal nutritional status and compliance with antenatal visits are significantly associated with LBW, highlighting the need to improve nutritional monitoring and the quality of antenatal care services.

Right now, the utilization of data and correspondence innovation fundamentally affects different business areas, including producing. One arising idea is e-business, otherwise called electronic business. This idea underlines data exchanging and paperless exchanges through different innovations like Electronic Trade of Data (EDI), email, electronic notice sheets, electronic assets move, and other organization based propels. An e-business data framework is a gadget, innovation, or system that uses equipment, programming, organizations, and human insight to interface, do exchanges, and complete different hierarchical exercises without being restricted by time or area. The utilization of e-business data frameworks is a significant instrument that associations use to further develop business activities at the nearby and worldwide level. Indonesia is one of the trailblazers in web-based business and internet business. Nonetheless, the potential presented by e-business haven't completely taken advantage of by business affiliations.

This study investigates the role of knowledge management (KM) capabilities in enhancing managerial decision-making within organizational settings. Using a systematic review approach, ten peer-reviewed journals published between 2019 and 2024 were analyzed to identify key themes, patterns, and empirical findings related to knowledge management implementation and its influence on decision-making processes. The review reveals that strong knowledge management capabilities particularly in knowledge acquisition, storage, sharing, and utilization significantly contribute to improving the accuracy, speed, and strategic quality of managerial decisions. The findings also show that organizations with well-developed knowledge management infrastructures, supported by digital technologies and a culture of knowledge sharing, demonstrate greater adaptability, innovation, and problem-solving effectiveness. This study concludes that knowledge management capabilities are essential for strengthening evidence-based decision-making and enhancing organizational competitiveness. Implications for managers emphasize the need to invest in knowledge management systems and foster collaborative knowledge practices. Suggestions for future research include expanding the scope to cross-industry comparisons and integrating knowledge management with emerging technologies such as AI-based decision support systems..