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Financial administration plays a crucial role in village-level governance, requiring transparency, accountability, and efficiency in the use of public funds. Currently, the Hameli Ate Village Office still relies on manual methods to manage its financial administration, including recording cash receipts and expenditures using notebooks and simple spreadsheets. This approach presents various issues, such as the risk of data loss, calculation errors, delays in report preparation, and difficulties in tracking and collecting financial transaction data. This study aims to develop a web-based financial administration information system to assist village officials in managing financial data more effectively, efficiently, and in an integrated manner. The methods applied include observation, interviews, and document collection to understand system requirements, while the system development process is implemented using the Waterfall model, which consists of the stages of analysis, design, implementation, testing, and maintenance. The system was built using the PHP programming language and a MySQL database and is designed to generate financial reports automatically and in real time. The testing results show that the system can handle income and expenditure data more quickly, accurately, and in a user-friendly manner. With the implementation of this information system, the financial administration process at the Hameli Ate Village Office becomes more transparent, accountable, and facilitates data-driven decision-making.

This study aims to systematically examine the influence of digital literacy on the learning outcomes and 21st-century skills of high school students. The method used is a Systematic Literature Review (SLR) following the PRISMA guidelines. Data sources were obtained from various academic databases, including Google Scholar, ERIC, ScienceDirect, and SpringerLink, with publications ranging from 2019 to 2025. A total of 30 articles were selected based on predetermined inclusion and exclusion criteria. The analysis was conducted using a thematic approach to identify patterns, relationships, and the contribution of digital literacy to learning outcomes and the development of 21st-century skills, such as critical thinking, collaboration, communication, and creativity. The synthesis results show that digital literacy has a significant influence on improving learning outcomes and strengthening 21st-century competencies. This study emphasizes the importance of integrating digital literacy into secondary school curricula and teacher training to support effective 21st-century learning.

Objective – In the digital transformation era, the integrity of personal data has become essential for maintaining trust and ensuring the sustainability of digital services. This paper aims to systematically review how data privacy violations affect public trust and progress toward Sustainable Development Goals (SDGs), especially SDG 9 (infrastructure and innovation) and SDG 16 (strong institutions and justice). Methodology—This study adopts the Systematic Literature Review (SLR) approach based on Kitchenham’s framework. Relevant articles from 2021–2025 were retrieved from Scopus, IEEE, Springer, and ScienceDirect using a predefined search string aligned with PICOC. A total of 19,504 records were screened, and 36 high-quality studies were selected after applying inclusion/exclusion criteria and quality assessment tools (e.g., CASP, AMSTAR). Findings—The review reveals that sectors such as education, healthcare, and smart cities are increasingly adopting data protection technologies, including encryption, federated learning, differential privacy, and blockchain. However, many still face regulatory, infrastructural, and human literacy gaps. Breaches in personal data significantly reduce public trust, impair the exercise of digital rights, and pose ethical and operational risks for achieving SDGs. Limitations – The study is limited by the timeframe (2021–2025) and focuses primarily on peer-reviewed literature. Practical insights from developing countries may be underrepresented due to database indexing limitations. Contribution – This review contributes a cross-sectoral synthesis of technological and regulatory practices for data protection, identifies key challenges, and outlines a strategic roadmap for policymakers and technologists to integrate ethical data governance for sustainable digital futures.

Digital transformation has changed the way modern organizations measure their success, but traditional performance measurement models have not fully adapted to the needs of the digital age. This study conducted a systematic literature review of 25 high-quality publications from the Scopus, Web of Science, and Emerald Insight databases to identify models and indicators of organizational performance measurement in the digital era. Using the PRISMA 2020 framework and strict inclusion-exclusion protocols, this study analyzes research from the period 2021-2025 with a focus on the integration of the digital dimension in the performance measurement framework. Key findings identify 13 categories of key indicators that consistently appear in the literature, including financial performance, operational efficiency, innovation performance, digital transformation readiness, customer experience, and employee digital capability. The analysis of influence mechanisms found three ways in which digital transformation affects performance: direct effects, mediating effects through dynamic capability and organizational agility, and moderation effects from contextual and organizational cultural factors. The research proposes a three-level integrative framework (strategic, operational, and individual-cultural) that can be differentially adapted according to the size of the organization and the industry sector. The theoretical contribution of this research enriches the academic literature with a systematic synthesis of digital performance measurement, while practical contribution provides evidence-based guidance for organizations in designing a comprehensive performance measurement system that is responsive to the evolving dynamics of digital transformation.

Pengelolaan air yang efisien merupakan aspek penting dalam mendukung kegiatan operasional di SMK Diponegoro. Tandon air yang selama ini dikelola secara manual sering menimbulkan kendala, seperti tandon meluap atau kosong akibat keterlambatan pengisian. Hal ini menyebabkan pemborosan air dan listrik serta meningkatkan beban kerja staf pengelola. Untuk mengatasi permasalahan tersebut, penelitian ini merancang sistem pendeteksi ketinggian air otomatis berbasis sensor ultrasonik dan Programmable Logic Controller (PLC). Sistem ini menggunakan sensor water level control untuk mendeteksi batas bawah dan atas ketinggian air, yang kemudian diolah oleh PLC untuk mengontrol pompa secara otomatis. Selain itu, data ketinggian air dikirim ke database dan ditampilkan pada web secara real-time. Metode logika fuzzy Tsukamoto digunakan dalam sistem kontrol untuk mengakomodasi ketidakpastian pembacaan sensor, dengan aturan berbasis bahasa alami seperti “air rendah”, “air sedang”, dan “air tinggi”. Hasil implementasi sistem ini diharapkan dapat meningkatkan efisiensi penggunaan air, mengurangi pemborosan, dan meringankan beban pengelola di lingkungan SMK Diponegoro.

BUMDes Wue merupakan lembaga desa yang mengelola layanan air bersih untuk masyarakat Desa Wue, Kecamatan Wolomeze, Kabupaten Ngada. Proses administrasi pembayaran air yang masih dilakukan secara manual menyebabkan berbagai kendala, seperti risiko kehilangan data, keterlambatan pencatatan, serta ketidakefisienan dalam pelaporan. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi administrasi pembayaran air berbasis web yang dapat digunakan oleh BUMDes Wue untuk mengelola data pelanggan, pembayaran, tagihan, dan laporan. Metode pengembangan sistem yang digunakan adalah Waterfall, yang terdiri dari tahapan analisis kebutuhan, desain sistem, implementasi, pengujian, dan pemeliharaan. Sistem ini dibangun menggunakan bahasa pemrograman PHP dan database MySQL, dengan antarmuka yang dirancang agar mudah digunakan oleh petugas BUMDes. Pengujian sistem dilakukan menggunakan metode Black Box Testing dan menunjukkan bahwa seluruh fungsi sistem berjalan sesuai harapan. Hasil penelitian menunjukkan bahwa sistem informasi ini mampu menggantikan sistem manual secara efektif, meningkatkan akurasi pencatatan, efisiensi waktu, serta mempermudah proses pelaporan keuangan dan monitoring pelanggan. Sistem ini juga diharapkan dapat dikembangkan lebih lanjut untuk mendukung notifikasi otomatis kepada pelanggan dan pengelolaan data yang lebih aman dan terstruktur.

Economic forecasting is becoming increasingly important year after year, especially during crises such as the pandemic of COVID-19 and the Russia-Ukraine war. Its development can be seen from the use of basic statistical models to the increasingly widespread use of machine learning technology. Economic forecasting plays an important role in helping to formulate policies and is also a reliable tool for researchers in dealing with uncertainty. Global crises, such as inflationary pressures due to the pandemic and supply chain disruptions from the Russia-Ukraine conflict, have prompted increased research in this field in an effort to anticipate economic shocks and emphasize the urgency of forecasting to prepare strategies for dealing with future uncertainty. This literature review uses the Scopus database with 2561 publications from 2020 to 2025, analyzed using R Studio with a bibliometrix approach (specifically biblioshiny) and VOSviewer to map relevant thematic connections. This analysis shows that economic forecasting is greatly influenced by market uncertainty and geopolitical factors, and at the same time influences public policy formulation and financial stability. Research contributions from Indonesia are still limited, with only 40 documents, thus emphasizing the need to strengthen economic forecasting studies in Indonesia to support monetary policy and national financial stability.

The integration of green marketing into corporate strategies represents a paradigmatic shift in responding to global sustainability issues while enhancing competitiveness and socio-ecological commitment. With the rapid growth of literature in this field, a systematic analysis is required to map its conceptual evolution and strategic directions. This study presents a bibliometric analysis of global research trends in green marketing, aiming to identify the intellectual structure, thematic evolution, and knowledge development over the period 2017–2024. Using the Scopus database and the Biblioshiny and VOSviewer tools, 275 peer-reviewed articles were examined through quantitative bibliometric mapping techniques. The analysis reveals an annual publication growth rate of 15.27%, with dominant themes such as “sustainability,” “green marketing,” and “sustainable development.” Thematic mapping visualizations indicate a shift in research focus from product-related technical issues to strategic, social, and consumer behaviour dimensions. Five major thematic clusters were identified, reflecting interdisciplinary approaches encompassing digital marketing strategies, consumer behaviour, corporate social responsibility, supply chain management, and environmental ethics. These findings underscore the significance of integrating green marketing as a sustainable business strategy, not only to enhance corporate image but also to foster more environmentally responsible consumer behaviour. The study provides a conceptual foundation for future inquiries and strategic implications for business practices, affirming the role of green marketing as a catalyst for organizational transformation toward environmental and social sustainability.

This systematic literature review (SLR) thoroughly investigates the significant role of English for Public Administration (EPA) in improving the overall employability of STIA Tabalong graduates in an increasingly competitive job market. Employing a rigorous and structured search protocol across major academic databases such as Scopus and Google Scholar, this study carefully synthesizes key findings from relevant scholarly articles published between 2015 and 2025. The comprehensive review reveals that proficiency in EPA is absolutely crucial for effective professional communication in various public sector roles, significantly impacting a graduate's ability to secure employment and advance their career. Key findings indicate a strong correlation between specialized English skills and job opportunities, while also highlighting common challenges in EPA implementation, such as a lack of relevant teaching materials and pedagogical limitations. The findings provide concrete implications for STIA Tabalong, suggesting necessary curriculum enhancements to better align with industry demands and to bridge the existing skills gap.

This research aims to develop a digital-based governance model for village finance to support the realization of a Smart and Green Village. The study analyzes how digital transformation in village finance management can increase transparency, accountability, and efficiency, while promoting sustainability-oriented budgeting and environmental practices. A Systematic Literature Review (SLR) was used to identify, evaluate, and synthesize scientific publications from 2022 to 2025, accessed through reputable databases such as ScienceDirect, Springer, Wiley, Taylor & Francis, SAGE, ACM, and IEEE. The review focused on topics including digital governance in villages, digital public finance, smart village development, green budgeting, environmental sustainability, and rural digital transformation. Findings indicate that digital-based village finance governance enhances administrative efficiency, strengthens budget transparency through real-time monitoring, minimizes financial deviation risks, and boosts public participation in fiscal accountability. Integrating digital systems with green budgeting features enables the prioritization of sustainable programs, such as renewable energy, waste management, climate change mitigation, and green infrastructure development. The study suggests a comprehensive digital-based governance model that includes e-budgeting, e-accounting, digital payment systems, public transparency dashboards, and environmental performance indicators to support the implementation of a Smart and Green Village. This research offers strategic insights for village governments, policymakers, and practitioners on the importance of adopting digital governance tools to improve financial management and strengthen sustainable development at the local level.

Dysregulation of the immune system is associated with many medical conditions, including: Cardiovascular disease, diabetes, cancer. Most popular model today. In biomedical research, rodents, despite the many advantages they offer, there are also many drawbacks to its use. Recently, another in vivo model, the chicken Embryos and their chorioallantoic membranes are resurfaced for a variety of uses. This model includes cost-effectiveness, time-efficiency, Easier to use. This review describes how to use chicken embryos. As a model for immune-based research because it gradually develops the embryonic immune system, Systems functionally similar to humans. This study examined mainly intended to describbe the immune system of birds, highlighting the differences and similarities with the human immune system A system containing a repertoire of lymphoid tissue, immune cells, and other important functions. A literature search was carried out systematically through the PubMed, NCBI, Google Scholar databases using keywords, namely, “Chicken embryo model, Perspective, Novel and relevant models Immunity, based research”. Based on these keywords, 21350 articles were obtained and 50 articles that meet the inclusion and exclusion criteria were selected. Those helped to describe general in-ovo immune ontogeny. Future studies are suggested to better tailor the use of chicken embryo models for testing carrying out specific experimental hypotheses or preclinical studies.

This study aims to synthesize empirical findings regarding the influence of accountability on local government financial management through a Systematic Literature Review (SLR) and a simple meta-analysis. A total of 10 primary studies (2020-2025) from various databases were analyzed. The results of the qualitative synthesis indicate a shift in research focus from compliance accountability to performance-based and digital accountability. Quantitatively, accountability was found to have a positive and significant influence on the quality of local financial management, mediated by variables such as transparency and internal control systems. The novelty of this study lies in the mapping of accountability and financial management indicators, as well as the identification of research trends leading to technology integration. These findings have important implications for the formulation of more effective and accountable local financial governance policies and results-oriented, which can ultimately improve the quality of public services and the sustainability of regional development. This is expected to improve the quality of public services and support the sustainability of regional development that is better, more transparent, and responsive to community needs.

The persistent challenge of hunger remains a critical obstacle to achieving sustainable development in Indonesia, where socioeconomic inequality, environmental degradation, and unstable food systems continue to limit progress toward Sustainable Development Goal 2 (Zero Hunger). This study systematically reviews international and national literature published between 2018 and 2024 to identify the key sustainable economic strategies that effectively address hunger in Indonesia. Guided by the PRISMA 2020 protocol, the review integrates 62 eligible studies sourced from Scopus, Web of Science, ERIC, and Google Scholar databases. Findings reveal that circular economy practices, green innovation, and climate-smart agriculture play central roles in improving food availability, reducing post-harvest losses, and enhancing community resilience. Furthermore, digital transformation and inclusive economic policies are shown to strengthen food supply chains and ensure equitable access to resources. The discussion emphasizes the interdependence between economic sustainability, social equity, and environmental stewardship as pillars of hunger reduction. The study concludes by proposing a policy framework that aligns national development strategies with sustainable agricultural innovation and resilience-based economic systems. This framework is expected to guide policymakers in strengthening Indonesia’s.

This study presents a Systematic Literature Review on Artificial Intelligence (AI) and Natural Language Processing (NLP) applications for customer support automation and digital service optimization. The review follows the PRISMA framework to ensure methodological rigor and transparency, focusing on literature published between 2020 and 2025 from the Scopus database. The findings reveal that AI-driven technologies, including Machine Learning, Deep Learning, and Large Language Models, have significantly improved efficiency, response time, and customer satisfaction in customer support and digital service. Common NLP applications include sentiment analysis, ticket classification, and automated response generation. Among these, hybrid and transformer-based models demonstrate superior accuracy and contextual understanding compared to traditional algorithms. However, several challenges persist, including data quality limitations, privacy and security concerns, algorithmic bias, and linguistic ambiguities such as sarcasm and negation. Moreover, issues related to trust and ethical adoption continue to influence user acceptance of AI systems. This review provides a comprehensive synthesis of current methodologies, trends, and research gaps, offering insights for future studies to develop explainable, secure, and human-centered AI systems that enhance the sustainability and transparency of digital customer support services.

Background: Multiple sclerosis (MS) is a chronic autoimmune disease that affects the central nervous system and often leads to fatigue, mobility impairments, and psychological issues such as anxiety and depression, all of which significantly reduce the quality of life of those affected. Yoga therapy, as a holistic non-pharmacological approach, has gained attention as an alternative rehabilitative intervention for MS patients. Objective: The aim of this review is to literatureally examine the effectiveness of yoga therapy on the physical and psychological aspects of individuals with MS, with a particular focus on the duration, frequency, and forms of yoga practice used. Methods: The method employed in this study was a literature literature search across databases including Google Scholar, PubMed, ScienceDirect, and ResearchGate, using clearly defined inclusion and exclusion criteria. A total of 15 articles with experimental and quasi-experimental research designs published within the past 10 years were analyzed in this review. Result: The results indicate that yoga is effective in reducing fatigue levels, improving balance and muscle strength, and enhancing daily physical functioning. Psychologically, yoga has been shown to significantly reduce anxiety, stress, and depression, while also improving self-efficacy, focus, and emotional quality of life. Conclusion: In conclusion, yoga is a safe and effective intervention that can serve as a complementary rehabilitative strategy in the management of MS, both physically and psychologically, although further research with stronger methodologies is needed to support its implementation in clinical practice.

This research, entitled “Implementation of a Web-Based Student Tuition Payment Information System at SMA Swasta Manda Elu,” aims to improve the efficiency of recording and managing students’ tuition fee payments. Previously, the tuition payment process was handled manually, which often led to recording errors, delays in reporting, and difficulties in retrieving student payment data. To address these issues, a web-based information system was developed to assist the school administration in recording, reporting, and monitoring tuition payments more effectively and efficiently. The development method used in this study is the Model View Controller (MVC) approach, which separates the system’s view, logic, and database layers to simplify system management and maintenance. The final result of this research is a web-based tuition payment application that runs properly, provides convenience for school administrative staff in recording transactions, and enhances the accuracy and speed of the school’s financial administration process at SMA Swasta Manda Elu.

The performance of investigators in resolving criminal cases is one of the key indicators of police effectiveness. However, the Semendawai Suku III Police Sector still faces challenges in monitoring case resolution due to the lack of an integrated reporting system and minimal documentation of investigators’ knowledge. This study aims to develop an interactive dashboard system based on Knowledge Management to assist in monitoring case resolution performance and support data- and knowledge-based decision-making processes. The research employs the Prototype method, involving several stages: needs analysis, system design, system development, testing, and refinement. The system was developed using the PHP programming language and MySQL database. The implementation results show that the dashboard can display data on criminal reports, case resolutions, and pending cases in an informative and integrated manner. In addition, the knowledge base feature functions as a medium for storing and sharing investigators’ experiences (lesson learned), allowing field knowledge to be reused by other officers when handling similar cases. Overall, the implementation of the interactive dashboard system based on Knowledge Management at the Semendawai Suku III Police Sector successfully improves work efficiency, strengthens the transparency of investigative performance, and builds a foundation for sustainable organizational learning within the police environment.

The Watu Kawula Health Center is one of the first level health service facilities that has an important role in providing health services to the community. However, in the implementation of administration, various obstacles are still found such as manual patient data recording, slow service data collection process, and difficulties in reporting and searching data. To overcome these problems, a computerized administrative information system is needed to improve efficiency and accuracy in data management.This research aims to design and build an integrated administrative information system at the Watu Kawula Health Center. The system development method used is the Waterfall model, which includes the stages of needs analysis, system design, implementation, testing, and maintenance. The system is designed using the MySQL database and PHP programming language, and is accessed through a web-based interface.The results of the development of the system show that this administrative information system is able to speed up the process of recording patient data, medical services, and making routine reports. In addition, the system also makes it easier for administrative officers to manage information in a structured and systematic manner. With this system, it is hoped that administrative services at the Watu Kawula Health Center can run more effectively and efficiently.

Kadi Pada Village is one of the villages that still manages population data manually, which often causes difficulties in recording, searching, and reporting population data. The manual process is also prone to input errors, data duplication, and lost documents. Therefore, a web-based information system is needed that can help village officials manage population data more effectively and efficiently. This study aims to design and build a web-based population data processing system that can be used by village officials to record, update, and present population data digitally. The methodology used in developing this system is the waterfall method, which includes the stages of needs analysis, system design, implementation, and testing. The technologies used include HTML, CSS, PHP, and MySQL as databases. The result of this design is an information system that has main features such as population data management, family data management (Family Card), recording population mutations (birth, moving, death), and making reports in digital format. With this system, it is hoped that the population administration process in Kadi Village will be faster, more accurate, and more organized.

Environmental stress can affect the development of the embryo, including causing the death of the embryo. Environmental factors that can cause stress include salinity and zinc sulfate, zinc sulphate is a trace element and can affect embryonic development. The purpose of this study was to analyze the environment in Chicken embryonic development. A literature search was carried out systematically through the PubMed, NCBI, Google Scholar databases using keywords, namely, “heat, stress, embryo, chicken”. Based on these keywords, the articles obtained were first selected by setting several inclusion criteria. Articles that do not meet the inclusion criteria are eliminated, and articles that meet the criteria will be analysed to obtain data. Based on the search results 21326 articles were obtained, and 21 articles that meet the inclusion criteria were selected. The result above also showed that heat stress give impact to development of embryo. From the results of the research conducted, it can be concluded that the environment has an impact on the development of the embryo. Further studies are needed, especially those related to other types of stress that can affect embryonic development in various types of animals.