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Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in supporting local and national economic development, particularly through employment generation and income distribution. Seasonal religious events such as Ramadan significantly influence consumption patterns and market dynamics, creating both opportunities and challenges for MSMEs. This study aims to analyze the implementation of the “Seri Ramadhan” phenomenon within the strategic management practices of MSMEs in Martapura, focusing on the periods before and after Ramadan. The research employed a qualitative descriptive approach with field study methods. Data were collected through in-depth interviews, direct observation, and documentation involving selected MSME actors in the culinary, fashion, and retail sectors. The findings indicate that prior to Ramadan, MSMEs emphasize strategic planning through product innovation, stock preparation, promotional intensification, and operational adjustments. After Ramadan, they conduct performance evaluations, inventory control, and strategic realignment to maintain business sustainability. The study highlights that Ramadan is not merely a short-term sales opportunity but also a strategic momentum integrated into broader business planning cycles. The implications suggest that adaptive and cyclical strategic management enhances MSME resilience and competitive advantage in seasonal markets.

Due to its focus on the psychological components of leadership, motivation, communication, and human resource development in educational institutions, management psychology is becoming an increasingly significant perspective in educational management. The use of management psychology in the classroom is considered crucial for improving organizational performance and teacher motivation. The purpose of this study was to investigate how management psychology can enhance teacher work motivation and its impact on school efficacy. This study reviewed previous research on the use of management psychology in education using a qualitative approach and literature review methodology. Using keywords related to management psychology in education, teacher motivation, educational leadership, and educational organizational performance, systematic search of scientific publications published in the Google Scholar database between 2022 and 2026 was used to collect data. Identification, screening, eligibility evaluation, and final selection of relevant publications were all steps in the literature selection process. Thematic coding techniques were used to examine six selected publications to determine the main findings, methodology, and research emphasis of each study. The findings suggest that the use of management psychology in educational management techniques, such as effective communication, teacher empowerment, supportive leadership, and the establishment of equitable reward systems, can significantly enhance teacher motivation and foster a positive work environment. In addition, these approaches increase the effectiveness of educational institutions, improve teacher performance, and foster collaboration within the school environment. To promote teacher professional development and raise the overall standards of educational institutions, it is crucial for educational administrations to incorporate a psychological perspective.

This study aims to analyze the optimization of regional expenditure in the education sector of Surabaya City for the 2025 fiscal year in supporting regional development. The research uses a descriptive qualitative approach through observation, interviews, and documentation studies conducted at the Surabaya City Education Office. Data were obtained from relevant stakeholders involved in education budget management and supported by official documents related to policies and the implementation of education programs. The results show that the management of education expenditure has been aligned with the Regional Medium-Term Development Plan (RPJMD) and applies the money follow program principle, which prioritizes programs based on community needs and development priorities. Programs such as Regional School Operational Assistance (BOPDA), educational assistance for students, school infrastructure development, and community-based learning innovations have contributed to expanding access to education, improving the equity of educational services, and reducing dropout rates. In addition, the use of monitoring systems, periodic evaluation, and the involvement of multiple stakeholders in supervision has strengthened transparency and accountability in budget management. However, several challenges remain, including limited implementation time, procurement constraints, and economic conditions such as inflation. Overall, education expenditure in Surabaya has been managed relatively well in terms of effectiveness, efficiency, and accountability while still requiring continuous improvement

The architecture of consumer decision-making has completely changed due to the quick development of recommendation systems based on artificial intelligence (AI). The majority of earlier studies saw algorithms as instruments for forecasting and maximizing preexisting preferences. This study, however, makes a different claim: algorithmic curation actively shapes preferences rather than just reflecting them. This study creates and evaluates a structural model that examines the impact of algorithmic curation intensity on perceived search autonomy, identity resonance, affective evaluation, and the development of initial preferences. The model is based on identity-based consumption theory and the literature on human-AI interaction. The study's findings, which are based on survey data from Generation Z consumers and Structural Equation Modeling (SEM) analysis, demonstrate a contradictory dynamic: algorithmic curation improves identity resonance and directly influences initial preferences while simultaneously decreasing feelings of autonomy. The primary mediating mechanism that links algorithmic exposure to emotional assessment and preference creation is identified as identity resonance. In addition to introducing the concept of algorithmic consumer formation as a new conceptual framework for comprehending consumer behavior in the AI-based digital era, our findings expand the notion of bounded rationality toward algorithmically bounded agency.

This research was conducted with the aim of developing an automation system for recording warehouse inventory based on Google Sheets to improve the effectiveness and efficiency of the stocktaking process at the Cresta Management warehouse. This research was based on problems in the semi-manual process that used logbooks and separate files for each group of goods, which caused problems such as data duplication, limited data access, lack of data transparency, and lengthy recapitulation process. This research used the Research and Development method using the ADDIE model (Analyze, Design, Develop, Implement, and Evaluate). Data were collected through observastion, interviews, questionnaires, and documentation. The result of this development is a system consisting of a login page, goods transcation recording, warehouse dashboard, stock reports, stock cards, and PDF report exports. This study also produced evaluation scores regarding the system’s feasibilty: 93,3% from the first media expert, 80% from the second media expert, 73,3% from the material expert, and 91,75% from users through User Acceptance Testing. These evaluation results indicate that the system is feasible for use and implementation in supporting warehouse operations, as it provides real time data updates, improves the efficiency of goods reporting, and enhances warehouse transactions.

Public space revitalization is an important strategy in urban development aimed at improving the quality of urban environments while stimulating social interaction and local economic activities. This study aims to evaluate the implementation of the Motang Rua Field revitalization program in Manggarai Regency and assess the extent to which the program achieved its intended development objectives. The study employed a qualitative descriptive approach. Data were collected through field observations, in-depth interviews with key informants including local government officials, project contractors, small business actors, and community members, as well as documentation related to the revitalization program. Data were analyzed through data reduction, data display, and conclusion drawing, supported by triangulation techniques to ensure data validity. The findings indicate that the revitalization program demonstrates a high level of relevance to community needs and aligns with the regional development vision of Ruteng Kota Molas. The implementation process shows strong coherence through effective inter-institutional coordination and consistency between planning and execution. The revitalization has also proven effective in improving public facilities, enhancing community social activities, and stimulating local economic growth through increased micro and small business activities. Furthermore, the program was implemented efficiently in terms of budget management and project timeline. The revitalization also contributes to strengthening socio-cultural values through the preservation of the historical figure Motang Rua and shows strong sustainability potential through increased public utilization of the revitalized space.

This study aims to comprehensively evaluate the potential pharmacological activities and safety profiles of seven secondary metabolite compounds (Caffeic Acid, Syringic Acid, Quercetin, Luteolin, p-Coumaric Acid, Ferulic Acid, and Epicatechin) identified in the Bajakah plant (Spatholobus littoralis Hassk.). The research approach integrates in silico analysis using the PubChem database, biological activity prediction via PASS Online, oral toxicity assessment through ProTox-II, and pharmacokinetic evaluation using pkCSM, which were subsequently validated through an empirical literature review. The results indicate that these compounds exhibit significant activity probabilities, particularly as antimutagenic, antiseptic, and antioxidant agents. Luteolin demonstrated the highest antimutagenic potential, while Quercetin showed dominant antioxidant activity. Toxicity profiling revealed that Luteolin and Caffeic Acid possess the highest safety levels (Class 5), whereas Quercetin requires special attention (Class 3). These computational findings strongly correlate with empirical evidence demonstrating that Bajakah extract exhibits broad-spectrum antibacterial activity against Staphylococcus aureus, antifungal activity against Candida albicans, as well as high antioxidant and anti-inflammatory capacities. This study provides a strong molecular foundation for the development of Bajakah as a safe and effective phytopharmaceutical candidate.

This study aims to analyze the in silico profile of the compound orientin derived from the water hyacinth plant (Eichhornia crassipes) as a potential antioxidant candidate. Orientin was selected based on its chemical structure data registered in PubChem, which provides complete information regarding molecular identity, physicochemical properties, and 2D and 3D structural representations. The prediction of biological activity was conducted using PASS Online, which indicated that orientin possesses a promising likelihood of exhibiting antioxidant activity according to relevant probability values. Furthermore, the safety assessment of the compound was carried out through ProTox-II to identify potential toxicity, including toxicity class, possible hepatotoxic effects, and other predicted safety parameters. To determine its pharmacokinetic profile, pkCSM was employed to predict ADMET characteristics such as absorption, distribution, metabolism, excretion, and additional toxicity risks. The results of these analyses show that orientin demonstrates favorable potential as an antioxidant candidate, supported by predicted pharmacological properties and relatively low toxicity levels according to in silico evaluations. Therefore, orientin has promising potential for further development in subsequent in vitro and in vivo studies.

This study aims to analyze the potential of eupatorin found in Cat’s Whiskers (Orthosiphon stamineus) as an anticancer agent using in silico methods. Eupatorin was selected due to its promising biological activity reported in previous literature. The research employed compound structure data registered in PubChem, analyzed through PASS Online for pharmacological activity prediction, ProTox-II for toxicity evaluation, and pkCSM for ADMET parameters. The results indicated that eupatorin has a high probability of inhibiting cancer cell proliferation with significant pharmacological activity values. Toxicity predictions showed a safe profile with an LD50 supporting its potential therapeutic use. ADMET analysis demonstrated that eupatorin possesses good bioavailability, adequate absorption and distribution, and minimal metabolic interactions, supporting its efficacy as an anticancer compound. These findings suggest that eupatorin could be an important candidate for herbalbased drug development, particularly for cancer therapy, and provide opportunities for further research through in vitro and in vivo experiments to validate anticancer activity comprehensively.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

This study analyzes the governance performance of information systems at the Career Center of Universitas Muhammadiyah Jambi using the COBIT 2019 framework. The primary objective is to evaluate the maturity level of IT governance and provide recommendations to enhance the efficiency and effectiveness of information systems in supporting the institution’s strategic objectives. Data were collected through interviews, observations, and questionnaires involving system users and decision-makers within the Career Center. The findings indicate that several areas require greater attention, particularly Managed IT Changes, Managed Risk, and Managed Operations. These domains are considered critical in improving the management and reliability of the existing information systems. The study also identifies several challenges affecting system performance, including limited system integration, insufficient human resources, and the use of outdated technology. Based on these findings, the research recommends strengthening the organizational structure, improving the competence of human resources, and optimizing IT processes in accordance with COBIT 2019 standards. Implementing these improvements is expected to increase IT governance maturity, enhance service quality for students and alumni, and better support the university’s strategic development goals.

This study aims to identify the learning needs of deaf students in internship programs, examine the challenges they face, develop appropriate solutions, and design as well as evaluate a visual module-based learning model to improve their work skills. The study used a Research and Development (R&D) approach with a 4D model: Define, Design, Develop, and Disseminate. The participants included deaf students from special needs high schools (SMALB) involved in vocational internships, mentor teachers, and industry supervisors. Data were collected through observation, interviews, questionnaires, documentation, and focus group discussions, and analyzed using qualitative techniques supported by descriptive analysis. The findings indicate that deaf students require visual, structured, and easily understandable work instructions supported by symbols, color codes, and guidance materials. Major challenges include limited verbal communication, difficulty understanding instructions, and risks of procedural errors. To address these issues, a systematic and communicative visual module-based learning model was developed, incorporating collaborative support from schools and industry. The resulting model integrates planning, implementation, mentoring, and evaluation stages, and has proven feasible and effective in enhancing students’ independence, technical competence, and overall work readiness.

Good governance has become a crucial framework for improving public sector effectiveness, accountability, and responsiveness to citizens’ needs. In Indonesia, decentralization policies since 1999 have devolved significant authority and resources to local governments, creating both opportunities and challenges in implementing good governance principles. This study examines administrative reform efforts in Indonesian local governments, focusing on progress, challenges, and key success factors. Using a multiple case study design, the research analyzed reform initiatives in six district/city governments with diverse contexts. Data were collected through document analysis, semi-structured interviews with government officials, civil society representatives, and citizens, as well as direct observation of administrative processes conducted between March and November 2024. The study assessed six core principles of good governance: participation, transparency, accountability, effectiveness and efficiency, equity and inclusiveness, and rule of law. The findings reveal variations in implementation across regions, with high-performing governments demonstrating strong leadership commitment, systematic planning, active citizen engagement, and effective monitoring mechanisms. However, challenges persist, including limited capacity, bureaucratic resistance, weak accountability enforcement, and low public participation. Key success factors include visionary leadership, capacity development, strategic partnerships, and institutional strengthening. Policy recommendations emphasize enhancing local capacity, accountability systems, citizen participation, and performance evaluation. Good governance has become a crucial framework for improving public sector effectiveness, accountability, and responsiveness to citizens’ needs. In Indonesia, decentralization policies since 1999 have devolved significant authority and resources to local governments, creating both opportunities and challenges in implementing good governance principles. This study examines administrative reform efforts in Indonesian local governments, focusing on progress, challenges, and key success factors. Using a multiple case study design, the research analyzed reform initiatives in six district/city governments with diverse contexts. Data were collected through document analysis, semi-structured interviews with government officials, civil society representatives, and citizens, as well as direct observation of administrative processes conducted between March and November 2024. The study assessed six core principles of good governance: participation, transparency, accountability, effectiveness and efficiency, equity and inclusiveness, and rule of law. The findings reveal variations in implementation across regions, with high-performing governments demonstrating strong leadership commitment, systematic planning, active citizen engagement, and effective monitoring mechanisms. However, challenges persist, including limited capacity, bureaucratic resistance, weak accountability enforcement, and low public participation. Key success factors include visionary leadership, capacity development, strategic partnerships, and institutional strengthening. Policy recommendations emphasize enhancing local capacity, accountability systems, citizen participation, and performance evaluation.

Zakat is a key instrument in the Islamic economic system, functioning as a mechanism for income redistribution and poverty alleviation. However, zakat management at the level of mosque-based Zakat Collection Units (Unit Pengumpul Zakat/UPZ) still faces significant challenges, particularly in terms of managerial capacity, administrative systems, and institutional governance. This community service project aims to optimize the collection and distribution of zakat through capacity building of the UPZ management at Al-Hidayah Mosque, Mandailing Natal. The study employed a participatory approach consisting of observation, joint planning, socialization, training, mentoring, and evaluation stages. Data were collected using observation, interviews, and structured questionnaires administered through pre-test and post-test to measure participants’ knowledge improvement. Data analysis was conducted using a descriptive comparative method to assess changes before and after the intervention. The results indicate a significant improvement in the managerial capacity of UPZ administrators, as reflected by an increase in the average score from 55% in the pre-test to 80% in the post-test. In addition, improvements were observed in zakat management practices, including the establishment of simple financial recording systems, the development of a structured database of donors (muzakki) and beneficiaries (mustahik), and enhanced transparency and accountability. Qualitatively, the program also fostered behavioral change among administrators, the emergence of local leadership, and increased public trust in the UPZ. This study concludes that participatory-based socialization, training, and mentoring are effective in strengthening institutional capacity and optimizing zakat management at the grassroots level. The findings highlight the importance of governance and capacity building in enhancing the effectiveness of community-based zakat institutions.

This community service activity aims to enhance students’ competencies in business management, production, and operations through an industrial visit to PT. XYZ. The activity involved 65 students from the Entrepreneurship Study Program of Universitas Negeri Medan and was conducted in December 2025. The method used was experiential learning, allowing students to gain direct exposure to real industrial practices. The stages of the activity included preparation, implementation of the industrial visit, observation and data analysis, and evaluation and reflection. The results of the activity indicate significant improvements in five key areas: understanding of business management, production processes, operations management, development of soft skills, and increased entrepreneurial motivation and interest. Students were able to connect theoretical knowledge with real-world applications, thereby enhancing their analytical and practical abilities. In addition, the activity contributed to the development of communication skills, teamwork, critical thinking, and professional attitudes. Overall, this program demonstrates that industrial visits are an effective learning strategy in entrepreneurship education to produce competent, adaptive, and competitive graduates.

This study aims to evaluate the impact of leadership education and training on organizational service effectiveness within the Tambrauw Regency Government, Papua. Leadership training is an important instrument in developing the competencies of Civil Servants to enhance leadership capacity, managerial skills, and public service quality. However, its implementation needs evaluation to determine its impact on organizational performance and service effectiveness. This research uses a qualitative approach with descriptive analysis. The analytical framework applied is the Kirkpatrick training evaluation model, covering reaction, learning, behavior, and results. Data collection was conducted through documentation studies, policy analysis, and literature review on civil servant development and public services. The results indicate that leadership training has a positive impact on improving civil servant competencies and service effectiveness. At the reaction level, participants showed high satisfaction with training materials and methods. At the learning level, there was improvement in leadership knowledge and skills. At the behavior level, participants demonstrated more professional work attitudes, better coordination, and improved decision-making. At the results level, training contributed to improved service quality, efficiency, and innovation. However, challenges remain, including limited resources, hierarchical bureaucratic culture, and weak policy support. Therefore, strong local government commitment is needed to enhance training quality and organizational support. This study contributes to public administration research and offers practical insights for policy development.

This research aims to analyze the capacity building of government personnel in implementing the Electronic-Based Government System (SPBE) at the Department of Communication and Informatics of Gresik Regency, which plays a strategic role in digital governance. This study uses a qualitative approach focusing on capacity development strategies and constraints at individual and organizational levels. The findings show that capacity building is carried out through two main strategies: human resource development and organizational strengthening. In human resource development, the establishment and training of an internal assessor team serve as key instruments in supporting SPBE implementation. This team represents institutionalized capacity, enabling the organization to independently conduct monitoring, evaluation, and quality assurance processes in a sustainable manner. This approach reflects a long-term strategy to strengthen institutional independence and reduce reliance on external parties. In organizational strengthening, capacity building focuses on optimizing organizational structure, work systems, coordination mechanisms, and regulatory support, including standard operating procedures. However, several constraints were identified. At the individual level, there is an imbalance in technical competencies, especially in information technology skills. At the organizational level, the lack of optimal follow-up after training highlights the need for more integrated human resource planning. These findings indicate that capacity building in SPBE implementation requires a systemic, well-planned, and sustainable approach to achieve effective, adaptive, and responsive digital government governance in the public sector.

Bullying remains a serious issue in elementary schools, affecting children’s psychological, social, and academic well-being. Limited student understanding of the forms and impacts of bullying encouraged students of the Community Service Program (KKN) from Mayjen Sungkono University to implement an anti-bullying education program at Tawar State Elementary School. This activity aimed to enhance students’ understanding of bullying while fostering empathy and care toward peers. The program employed an educative–participatory approach through presentations, interactive discussions, question-and-answer sessions, and ice-breaking activities tailored to the characteristics of elementary school students. The participants consisted of 39 students from grades 4 and 5. Evaluation was conducted through observations of student participation, enthusiasm, and their ability to answer questions related to the delivered material. The results indicated that most students were able to understand the concept of bullying, its types, negative impacts, and prevention strategies. Furthermore, students began to apply anti-bullying values in their daily social interactions within the school environment. Anti-bullying education is expected to serve as a preventive measure in creating a safe, comfortable, and supportive school environment that optimally supports students’ growth and development.

This community service program aims to enhance teachers’ competence in developing Higher Order Thinking Skills (HOTS)-based assessment items to support improved performance in the Computer-Based National Assessment (ANBK) at SMP Negeri Kletek. The main problem faced by the partner school is the limited understanding of teachers in designing assessment instruments that measure higher-order thinking skills, as well as insufficient ability to develop literacy- and numeracy-oriented questions aligned with ANBK characteristics. This condition has resulted in suboptimal learning evaluation quality and limited student readiness for national assessment. The program employed a Participatory Action Research (PAR) approach, emphasizing the active involvement of participants throughout all stages. The implementation included the planning stage through needs assessment and problem identification, the action stage through training and mentoring in HOTS-based item development, the observation stage through evaluation of participants’ work, and the reflection stage to identify achievements and challenges. Data were collected using pre-test and post-test, observation, and reflective discussions. The results indicate an improvement in teachers’ understanding and skills in developing HOTS-based items, as reflected in higher post-test scores. Teachers were able to design competency-based blueprints, contextual stimuli, and analytical, evaluative, and creative questions. This program effectively strengthens teachers’ professional competence and school readiness for ANBK.