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The development of sustainable tourism villages requires the implementation of management practices that enhance environmental performance through environmentally oriented leadership, community participation, and stakeholder engagement in achieving sustainability goals. This study aims to examine the influence of green leadership and community involvement on green performance, with employee engagement serving as a mediating variable among the stakeholders and managers of Punten Tourism Village, Batu City. A quantitative approach with an explanatory research design was employed. The study involved all stakeholders and managers of Punten Tourism Village using a saturated sampling technique. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software. The findings reveal that green leadership and community involvement have positive and significant effects on green performance. Both variables also significantly enhance employee engagement, which, in turn, positively and significantly influences green performance. Furthermore, employee engagement partially mediates the relationships between green leadership and green performance, as well as between community involvement and green performance. These findings suggest that improving the environmental performance of tourism villages requires the integration of green leadership, active community involvement, and stronger stakeholder engagement to support the implementation of sustainable tourism practices.

This research aims to implement Business Intelligence and the TOPSIS method in a Decision Support System for selecting the best-selling products in retail stores through an analytical Dashboard. Retail businesses generate large amounts of transaction data every day, but the data is often only used for operational reporting and has not been optimally utilized for strategic decision making. This study integrates Business Intelligence technology, data Warehouse, ETL process, Dashboard Analytics, and TOPSIS method to analyze product sales patterns and determine the best-selling products based on several criteria such as sales quantity, stock turnover, profit level, customer demand, and sales frequency. The research method uses a system development approach consisting of data collection, dimensional modeling, ETL implementation, TOPSIS calculation, Dashboard design, and system evaluation. The results show that the implemented system can accelerate reporting processes, improve decision-making accuracy, and assist management in identifying strategic products quickly and interactively. The integration of TOPSIS with Business Intelligence Dashboards contributes to effective data-driven decision making in retail management.

Banks' Relationship Manager (RM) rotation policies conceal a retention risk: premium customers loyal to individual RMs may migrate following replacement triggered by relational disruption, not service failure. This conceptual study builds a theoretical framework explaining Emerging HNWI customer migration intention following RM turnover, integrating three antecedents adapted from the Service Provider Switching Model (SPSM): Relational Embeddedness (RE) as a mooring factor, Relational Trust toward the former RM (RT) as a paradoxical push factor through the Relational Loss Effect mechanism, and Community-Validated Trust (CVT) as the primary migration inhibitor. CVT is conceptualized as trust formed prior to direct interaction through personal communal validation distinct from reputation trust, social trust, swift trust, and social proof. Three boundary conditions of CVT are explicitly identified for testability and cross-context comparison. Primary contributions: (1) CVT as a SPSM extension for relational disruption contexts; (2) Relational Loss Effect bridging trust theory and paradoxical migration behavior.

This study aims to analyze the phenomenon of tax burden, tax compliance, and tax-saving strategies and their influence on business survival strategies in Indonesia’s retail and trade sector amid the economic slowdown in 2026. Indonesia’s economic growth declined to 4.2% in the first quarter of 2026 from 5.1% in the previous year, creating considerable pressure on business sustainability, particularly in the retail and trade sector. This research employed a quantitative approach using a survey method involving 120 retail and trade business owners located in Jakarta, West Java, and Banten. Respondents were selected through purposive sampling. Data were collected using a structured questionnaire that met validity and reliability requirements and were analyzed using multiple linear regression with SPSS version 26 after fulfilling the classical assumption tests. The results indicate that tax burden (B = 0.287; p < 0.001), tax compliance (B = 0.341; p < 0.001), and tax-saving strategies (B = 0.398; p < 0.001) each have a positive and significant effect on business survival strategies, both individually and simultaneously. The F-test (F = 62.847; p < 0.001) confirms the overall significance of the regression model, while the coefficient of determination (R² = 0.621) shows that the three independent variables explain 62.1% of the variance in business survival strategies. These findings suggest that effective tax management, combined with the lawful utilization of tax incentives, plays a crucial role in strengthening business resilience and ensuring the sustainability of retail and trade businesses during periods of economic uncertainty.

Program Makanan Bergizi Gratis (MBG) diperkenalkan pada 6 Januari 2025 melalui Peraturan Presiden No. 83 Tahun 2024, menjadi salah satu inisiatif sosial terbesar di Indonesia dengan dana sebesar Rp71 triliun dan memperkirakan 82,9 juta penerima manfaat. Pengelolaannya ditangani oleh Badan Gizi Nasional (BGN) melalui SPPG. Studi ini menganalisis pemanfaatan TikTok sebagai alat transparansi dalam manajemen SOP MBG untuk meningkatkan akuntabilitas publik dalam konteks hubungan keuangan antara pusat dan daerah melalui DAK Nonfisik. Penelitian ini menerapkan pendekatan kualitatif deskriptif, melibatkan analisis dokumen dan konten publik di TikTok. Sumber data terdiri dari dokumen resmi BGN, Juknis No. 401.1 Tahun 2026, laporan dari ICW dan CISDI, akun TikTok SPPG, serta penelitian akademik. Validitas ditentukan melalui triangulasi serta analisis perbandingan. Temuan penelitian menunjukkan bahwa TikTok SPPG berperan dalam tiga dimensi transparansi: verifikasi di tingkat pusat, pengawasan lokal, dan akuntabilitas publik di tingkat nasional. Namun, ada empat tantangan utama, yaitu kurangnya konsistensi konten di berbagai akun SPPG, ketimpangan digital di daerah 3T, ketiadaan mekanisme tindak lanjut resmi, dan potensi kriminalisasi partisipasi masyarakat. Penelitian ini merekomendasikan model optimalisasi yang mencakup standardisasi konten, perlindungan partisipasi masyarakat, serta integrasi dengan sistem pengawasan resmi untuk memperkuat transparansi dan akuntabilitas MBG dengan pendekatan digital.

Penelitian ini dilatarbelakangi oleh tuntutan peningkatan kualitas pelayanan publik melalui transformasi digital pada bidang perizinan di Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) Kota Medan. Aplikasi SIPANDU dikembangkan sebagai inovasi pelayanan perizinan berbasis elektronik guna mewujudkan pelayanan yang efektif, efisien, transparan, dan akuntabel. Namun dalam pelaksanaannya masih ditemukan kendala teknis sistem, keterbatasan fitur pengaduan, serta belum meratanya kemampuan masyarakat dalam memanfaatkan layanan digital. Penelitian ini bertujuan untuk mengetahui dan menganalisis efektivitas aplikasi SIPANDU dalam meningkatkan layanan perizinan di DPMPTSP Kota Medan menggunakan metode penelitian kualitatif deskriptif. Data dikumpulkan melalui observasi, wawancara semi terstruktur, dan dokumentasi dengan melibatkan 13 informan yang terdiri dari pimpinan, pengelola sistem, dan masyarakat pengguna SIPANDU. Analisis data dilakukan menggunakan model interaktif Saldana yang meliputi reduksi data, penyajian data, serta penarikan kesimpulan dan verifikasi dengan bantuan perangkat lunak NVivo. Hasil penelitian menunjukkan bahwa aplikasi SIPANDU secara umum cukup efektif dalam meningkatkan layanan perizinan di DPMPTSP Kota Medan, terutama pada dimensi manfaat bersih, kepuasan pengguna, kualitas informasi, dan kualitas layanan, meskipun masih terdapat kelemahan pada dimensi kualitas sistem dan penggunaan, khususnya terkait kemudahan penggunaan, keandalan sistem, waktu respons, kelengkapan informasi, pemerataan penggunaan aplikasi, dan fitur pengaduan. Dengan demikian, SIPANDU telah memberikan kontribusi positif terhadap peningkatan pelayanan publik, namun masih memerlukan penyempurnaan teknis dan operasional agar pelayanan perizinan dapat berjalan lebih optimal. Kata Kunci: efektivitas, SIPANDU, pelayanan perizinan, DPMPTSP, pelayanan publik, e-government, sistem informasi

This study examines the recurring traffic accidents at the Bawen intersection in Semarang Regency, particularly involving heavy vehicles descending from the toll exit. The research aims to analyze the underlying causes and formulate an effective accident prevention model. Using a qualitative empirical juridical approach, data were collected through field observations, interviews, and document analysis. The findings reveal that accidents are caused by a systemic interaction of factors, including inadequate road geometry, vehicle technical failures (especially brake malfunction), driver fatigue and limited competence, suboptimal traffic management, and weak preventive law enforcement. These interrelated factors create a high-risk traffic environment, particularly at signalized intersections at the end of steep descents. The study proposes an integrated prevention model combining infrastructure improvement, vehicle supervision, driver capacity enhancement, technology-based traffic management, and preventive law enforcement. This model emphasizes a holistic and sustainable approach to traffic safety. The implications highlight the need for coordinated policies among stakeholders to reduce accident rates and improve overall road safety in the region.

This study examines the partial and simultaneous effects of promotional strategies, risk perception, and resale price perception on public interest in gold investment at PT Pegadaian Dompu Branch. The research employed a quantitative explanatory approach involving 96 respondents selected from a population of 50,000 customers using purposive sampling. Data were collected through a structured questionnaire based on a five-point Likert scale and analyzed using multiple linear regression with SPSS version 26. The findings reveal that promotional strategies have a positive and significant influence on public interest in gold investment, indicating that effective promotional activities encourage customers to invest. Risk perception also shows a positive and significant effect, suggesting that customers with better understanding and management of investment risks are more inclined to invest in gold. In addition, resale price perception positively and significantly affects investment interest, reflecting the importance of customers' confidence in obtaining favorable resale values. Simultaneous testing using the F-test confirms that the three independent variables jointly have a significant effect on public interest in gold investment. The coefficient of determination shows an Adjusted R Square value of 33.9%, meaning that promotional strategies, risk perception, and resale price perception explain 33.9% of the variation in investment interest, while the remaining 66.1% is influenced by other factors not included in this research model.

Advancements in information technology encourage MSMEs to utilize information systems to enhance the effectiveness of their business management. Es Teh Arjuna, an MSME in Tegal City, faces challenges in monitoring partner sales and managing revenue because transactions are recorded manually using disparate methods; this results in slow data recapitulation, a risk of recording errors, and difficulty for the business owner in quickly accessing sales information. This study aims to analyze requirements, design, develop, and test a web-based information system for partner sales and revenue that provides information in  real-time. The Waterfall model was used for system development, while data collection involved observation, interviews, and a literature review. The system was developed using PHP and MySQL and tested via Black Box Testing. The results demonstrate that the system successfully integrates sales data from all outlets into a centralized database, streamlining the management of products, outlets, employees, cashiers, and sales transactions, as well as facilitating the generation of revenue reports for specific periods. Furthermore, the system enables the business owner to monitor sales performance more quickly, accurately, and systematically, thereby supporting decision-making and improving the operational efficiency of Es Teh Arjuna.

Open burning of household waste remains the dominant waste disposal practice in rural areas of Indonesia, posing significant risks to public health and environmental quality. This community service activity aimed to provide an innovative, low-smoke waste combustion solution — the rocket stove incinerator — to the residents of Dusun Allukeke, Desa Belapunranga, Kecamatan Parangloe, Kabupaten Gowa. A baseline survey conducted during PBL 1 revealed that 87.6% of households disposed of waste through open burning. An asset-based community development (ABCD) approach was adopted, engaging community members at every stage from planning, construction, to utilisation. The rocket stove was constructed over three days using locally available materials and was demonstrated to significantly reduce visible smoke emissions compared to conventional open burning. The technology works through a vertically insulated combustion chamber that promotes near-complete combustion, reducing waste volume by 50–90% while suppressing particulate matter and hydrocarbon emissions. Community participation strengthened local ownership of the solution. This activity demonstrates that appropriate technology co-constructed with communities can serve as a practical, sustainable, and replicable model for rural waste management.

Earnings management remains a major concern in the banking industry because it may reduce the credibility and reliability of financial reporting. At the same time, Corporate Social Responsibility (CSR) has increasingly been recognized as an important governance mechanism that enhances corporate transparency, accountability, and stakeholder trust. However, previous studies have reported inconsistent findings regarding the role of firm size in the relationship between CSR and earnings management. Therefore, this study aims to examine the effect of CSR on earnings management and investigate whether firm size acts as a mediating variable in Indonesian banking companies. This research employed a quantitative explanatory approach using panel data from 22 banking companies listed on the Indonesia Stock Exchange during the 2022–2024 period, resulting in 66 observations. Data were analyzed using panel data regression with the Fixed Effect Model and mediation analysis through the Sobel test using EViews 12. The findings indicate that CSR has a significant negative effect on earnings management and a significant positive effect on firm size. Furthermore, firm size partially mediates the relationship between CSR and earnings management, indicating that CSR reduces earnings management both directly and indirectly through organizational scale. These findings provide theoretical support for stakeholder and legitimacy theories and offer practical insights for managers and regulators in strengthening CSR implementation to improve financial reporting quality and corporate transparency.

The rapid development of the digital era has significantly impacted adolescents by increasing academic stress due to academic demands, performance pressure, and technological distractions. This condition is often exacerbated by low levels of emotion regulation, which negatively affect students’ learning focus and psychological well-being. Therefore, effective interventions are needed to help students manage their emotions adaptively. This community service program aims to enhance emotional balance and reduce academic stress through a mindfulness-based intervention at MA Plus Nururrohmah. The program employed a participatory approach with stages of preparation, implementation, and evaluation. It was conducted in two main sessions: a mindfulness session delivered by Erlin Kurnia Sri Rejeki, M.Pd.I, and an interactive stress-release session facilitated by Estria Solihatun Nurjannah, M.Pd. Data were collected qualitatively through observation, documentation, and analysis of students’ responses and participation. The results show improved emotional awareness, better recognition of stress conditions, and increased student engagement. Additionally, students demonstrated more positive emotional states after the program. Thus, mindfulness implementation contributes positively to enhancing emotion regulation and reducing academic stress and has potential as a sustainable school-based mental health intervention model.

The Society 5.0 era demands increased student health literacy as an essential competency. However, previous research has tended to focus only on the health education aspect and has not comprehensively examined the integration of technology-based health education management. Therefore, this study aims to analyze the effectiveness of technology-based health education management innovations and identify key factors influencing their successful implementation. This study used a mixed methods approach with a sequential explanatory design. Quantitative data were collected through a survey of 200 students, while qualitative data were obtained through in-depth interviews with 10 teachers and the principal. Quantitative data were analyzed using descriptive and inferential statistics, while qualitative data were analyzed using a thematic approach to strengthen the interpretation of the results. The results indicate that technology-based health education management innovations have a significant impact on improving student health literacy. Furthermore, it was found that successful implementation is influenced by five main factors: school institutional support, availability of technological infrastructure, teacher training, student motivation, and parental involvement. The novelty of this research lies in the integration of managerial and technological approaches in health education, tested through a mixed methods approach. These findings confirm that successful health literacy improvement is determined not only by the use of technology, but also by organizational readiness and multi-stakeholder collaboration. The implications of this research provide theoretical contributions to the development of technology-based health education management models and practical recommendations for educational institutions facing the challenges of Society 5.0.

This study proposes a computer vision-based system for automatically verifying the use of Personal Protective Equipment (PPE) in industrial environments. The system integrates the YOLOv8 object detection model, OpenCV for image processing, and a State Machine mechanism to manage the verification workflow. The verification process begins with employee identification through ID card scanning, followed by real-time detection of the head, safety helmet, and face mask using a camera, before generating a final PASS or FAIL decision. System evaluation was conducted using 250 testing scenarios to assess both model and system performance. The results show that the YOLOv8 model achieved an mAP@50 of 93.9%, while the overall verification system obtained 98.4% accuracy, 98.4% precision, 100% recall, and a 99.2% F1-score. The implementation of the State Machine contributed to a more stable and consistent verification process by ensuring that each inspection stage was executed in the correct sequence. These findings demonstrate that the proposed system can effectively support automated PPE compliance monitoring and has the potential to enhance occupational safety management in industrial workplaces. 

Islamic boarding schools (pesantren) are no longer viewed solely as religious educational institutions but also as socio-economic entities that play a strategic role in community empowerment and the development of the Islamic economy. The emergence of various pesantren business units, including Islamic cooperatives, Islamic microfinance institutions, agribusinesses, and service enterprises, reflects the transformation of pesantren into productive and economically independent institutions. However, many pesantren continue to face challenges in achieving economic sustainability, including weak governance systems, limited managerial professionalism, inadequate human resources, and excessive dependence on charismatic leadership. This study aims to develop a conceptual model of pesantren business governance based on Islamic governance principles to achieve institutional economic sustainability. Using a qualitative approach and library research method, this study analyzes relevant literature on pesantren economics, Islamic governance, sustainability, and risk management. The findings indicate that sustainable pesantren economic development requires the integration of Islamic governance values, namely amanah (trustworthiness), transparency, justice, and maslahah (public benefit), with modern management systems and comprehensive risk management practices. The study proposes a conceptual governance framework linking pesantren resources, sharia governance, professional management, and risk mitigation as key determinants of economic independence and institutional sustainability. This framework is expected to provide strategic guidance for strengthening pesantren-based economic development in a sustainable and socially beneficial manner.

The iftar gathering within the Information Management academic community of Politeknik Negeri Sriwijaya was organized as a community service-based internal engagement activity to strengthen fellowship, interpersonal communication, and social concern. The program aimed to create a reflective and collaborative space for lecturers, staff, and students to build togetherness during Ramadan while reinforcing institutional values. The method consisted of coordination, preparation, implementation, documentation, and evaluation. The activity included opening remarks, informal dialogue, iftar, and social interaction among participants. The results indicate that the program contributed to improving collegial relationships, strengthening a sense of belonging, and encouraging social awareness among the academic community. The activity also provided a model of simple but meaningful institutional engagement that can be replicated in future academic and social programs. The implication of this activity is the need to maintain regular community-based programs as part of character development and organizational culture in higher education.

Penilaian kinerja merupakan elemen krusial dalam manajemen sumber daya manusia (SDM) untuk memastikan efektivitas organisasi dan pengembangan karyawan. Namun, banyak sistem penilaian tradisional masih bergulat dengan masalah subjektivitas, kurangnya transparansi, dan minimnya fokus pada pengembangan. Penelitian ini bertujuan mengevaluasi sistem penilaian kinerja yang berlaku di Politeknik XXX dan mengusulkan kerangka model yang mengintegrasikan 360-Degree Feedback dan Critical Incident Technique (CIT) untuk mengatasi kelemahan tersebut. Menggunakan analisis survei deskriptif dan analisis kesenjangan (gap analysis) pada data Politeknik XXX , ditemukan bahwa sistem saat ini bersifat top-down, minim umpan balik multi-sumber (rekan sejawat dan mahasiswa 0%), lemah dalam pencatatan kejadian kritis (18.5% untuk prestasi, 29.6% untuk pelanggaran), serta memiliki skor komunikasi hasil penilaian (2.07/5.00), kepuasan, dan keadilan yang moderat (2.96/5.00). Kesenjangan signifikan teridentifikasi pada aspek transparansi (gap 2.29), orientasi perbaikan (gap 2.08), dan rekam kejadian kritis/CIT (gap 2.07). Implikasi dari temuan ini menunjukkan urgensi transformasi menuju sistem manajemen kinerja modern yang mengedepankan objektivitas, transparansi, dan pengembangan profesional berbasis data. Integrasi 360-Degree Feedback dan CIT diyakini mampu menyediakan perspektif holistik dan bukti perilaku faktual yang diperlukan untuk penilaian yang lebih adil dan formatif.

The purpose of this study is to analyze various forms of low student concentration behavior during learning activities at Sungai Tarab Elementary School, as well as the factors underlying these conditions in classroom learning processes. This research uses a qualitative method with a case study design, focusing on an in-depth understanding of phenomena occurring in the field. The selection of research informants uses a purposive sampling technique, where informants are determined based on specific criteria related to the research problem to ensure that the data obtained is valid and reliable. Data were collected through three techniques, namely in-depth interviews, observation, and document study. The data were analyzed using the Miles and Huberman model, which includes data reduction, data display, and conclusion drawing. The results of the study show that forms of low student learning concentration behavior include walking around the classroom, talking with friends during lessons, and disturbing classmates when they feel bored and uninterested in classroom learning activities. This condition indicates the need for more interactive teaching strategies and more effective classroom management. It is important for teachers to improve student focus through varied and engaging learning approaches, as well as strengthening classroom discipline. In addition, support from the school environment and parents also contributes to reducing these behaviors sustainably.

The purpose of this study is to identify the level of influence  of job description and workload on the job satisfaction of monthly contract employees at PT Multi Garmenjaya. Through  a cross-sectional  survey method, this study applies a descriptive and associative research design. The data collection was carried out through the distribution of a combination  of online (Google Form) and offline (print questionnaire) questionnaires to 87 respondents who were selected as a sample of the entire population totaling 677 monthly contract employees. Based on the results of hypothesis testing, it was found that the position description variable had a positive and partially significant influence on employee job satisfaction, with a calculated t-value of 5.529 and a significance level of 0.0000. On the other hand, the workload variable was also found to show a positive and significant influence on employee job satisfaction partially, with a calculated t  value of 1.327 and a significance value of 0.188. When tested simultaneously, the two independent variables were proven to have a significant effect on the job satisfaction of contract employees, with  an F score of 27.772 and a significance value of 0.0000. As for the Adjusted R Square value,  a value of 0.384 was obtained. This figure means that the ability of the variable job description and workload in explaining the ups and downs of the job satisfaction of PT Multi Garmenjaya's monthly contract employees is 38.4%. Meanwhile, the other percentage, which is 61.6%, is influenced by other factors or variables that are not studied and studied in this research model.

Tomato (Solanum lycopersicum) is a high-value horticultural commodity in Indonesia, yet its cultivation is frequently disrupted by leaf diseases that are difficult to distinguish visually. Diseases such as Bacterial Spot, Early Blight, and Tomato Yellow Leaf Curl Virus often present overlapping visual symptoms, making early and accurate diagnosis a significant challenge for farmers. The manual identification methods currently in use are inefficient and error-prone, ultimately leading to reduced crop yield  and quality. The general objective of this study is to develop software capable of automatically classifying tomato  leaf diseases. Specifically, this research aims to implement the MobileNetV3 Small architecture based on Convolutional Neural  Network (CNN) with ImageNet pre-trained weights to classify 10 types of tomato leaf diseases. The research methodology encompasses dataset collection from Kaggle comprising 10,000 images (1,000 per class), image pre-processing through resizing to 224x224 pixels, and normalization, as well as hyperparameter optimization (optimizer, learning rate, epoch, batch size) via scheduler. Model performance is evaluated using a confusion matrix encompassing accuracy, precision, recall, and F1-score.