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Bureaucratic reform in Indonesia has encouraged the strengthening of civil service management oriented toward performance through the policy of appointing Government Employees with Work Agreements (PPPK) in order to improve the effectiveness of public organizations. This study aims to analyze the performance of PPPK in supporting the implementation of tasks at the Environmental Agency of Jambi City by using Mangkunegara’s performance theory as the analytical framework. This research employs a qualitative approach with a descriptive method. Data were collected through in-depth interviews and documentation, and then analyzed using data reduction, data display, and conclusion drawing techniques. The results show that the performance of PPPK is generally in the good category and contributes positively to organizational effectiveness. This is reflected in the aspects of work quality, work quantity, and responsibility as explained in Mangkunegara’s performance theory. The alignment between job placement and competence, increased work motivation due to employment status certainty, and organizational support through training and coaching are the main factors supporting performance optimization. However, there are still constraints, particularly the suboptimal understanding of main duties and functions, thus requiring strengthened organizational communication and continuous capacity development. This study confirms that competency-based management and systematic development of PPPK play an important role in improving the effectiveness of task implementation in the public sector.

This study analyzes the application of good governance principles in the context of Islamic financial service management at Baitul Maal wat Tamwil (BMT) Islam Berdaya Mandiri Kaitakan. This study uses a qualitative approach with a case study method, collecting data through in-depth interviews, participant observation, and analysis of internal documents. The results of the study show that the five principles of good governance transparency, accountability, responsibility, independence, and fairness have been adequately implemented, albeit with varying degrees of depth. Transparency is realized through routine financial reporting at the Annual Member Meeting, although access to daily information is still limited. Accountability is maintained through internal and external oversight mechanisms from the Cooperative Office, although independent external audits have not been carried out routinely. The institution's responsibility is reflected in its sharia compliance, which is supervised by the Sharia Supervisory Board, and the accuracy of its financial reporting. Independence is realized through a deliberative decision-making process, while fairness is applied in the form of non-discriminatory services and the distribution of financing based on field verification. The findings reveal that the main challenges lie in the digitization of information systems and limited resources for external audits. Overall, the implementation of good governance at BMT has created a governance foundation that is in line with sharia principles and modern public administration values, with room for improvement mainly in the optimization of information technology and institutional capacity building.

The issue of uninhabitable houses still requires an accurate identification mechanism because the manual data collection process has the potential to be time-consuming, costly, and subject to subjectivity in determining aid priorities. This study aims to develop a classification model to identify habitable and uninhabitable houses based on family socioeconomic data using the Random Forest algorithm. The research method includes data preprocessing, data division using stratified split in three scenarios, baseline model development, and optimization through hyperparameter tuning using GridSearchCV with 3-fold cross-validation and balanced class_weight parameters. The data used includes variables such as education type, employment status, occupation type, number of family members, and family insurance type. The test results show that the 70:30 data division scenario after tuning provides the best performance with a recall value of 0.5797 for uninhabitable houses and an F1-score of 0.4746. Feature importance analysis shows that education type and employment status are the most influential variables in the classification. The results of this study show that the model built is capable of increasing sensitivity in detecting uninhabitable houses to support more objective field survey prioritization.

Manufacturing accounts for about 28.9% of global final energy use, making inefficient operations a major source of cost and greenhouse gas emissions. This review synthesizes how artificial intelligence supports energy optimization within Industry 4.0-enabled manufacturing systems. It organizes methods into four families: machine learning for forecasting and anomaly detection, deep learning for nonlinear and temporal modelling, reinforcement learning for adaptive scheduling and real-time control, and metaheuristics for balancing energy, throughput, and quality objectives. Applications span plant-level demand prediction and peak management, shop-floor rescheduling under dynamic pricing, equipment-level optimization through predictive maintenance, and system-wide planning using digital twins and cyber-physical integration. Reported benefits include lower energy costs, reduced downtime, improved productivity, and progress toward decarbonization. However, large-scale deployment is constrained by poor data quality and interoperability across IIoT, MES, ERP, and EMS platforms, high implementation and computational costs, skills gaps, and weak governance and benchmarking standards. Emerging solutions include federated learning and edge AI for privacy-preserving, low-latency analytics, explainable AI to enhance trust and auditability, tighter smart-grid integration, and circular economy-driven optimization. The review concludes with practical priorities for reliable, transparent, and scalable AI-enabled energy management.

The Impact-Oriented Community Service Program (KKN Berdampak) conducted by students of Universitas Mayjend Sungkono in Kebontunggul Village, Gondang District, Mojokerto Regency focused on optimizing branding and digital marketing for the Lembah Mbencirang tourist destination. Lembah Mbencirang is a village-based tourism destination with significant natural and educational potential; however, this potential has not been widely recognized due to limitations in branding and digital marketing. This community service program aimed to sustainably increase tourist visits through SWOT analysis, visual identity rebranding, and digital marketing campaigns utilizing social media, search engine optimization (SEO), and visual content. The activities were carried out participatively in collaboration with the local Village-Owned Enterprise (BUMDes) and Tourism Awareness Group (Pokdarwis) using observation, mentoring, and promotional content development methods. The results indicate that the optimization of branding and digital marketing at Lembah Mbencirang Tourism produced initial outcomes in the form of digital media readiness and increased understanding among tourism managers. Although the impact on visitor numbers has not yet been measured significantly, a digital marketing foundation has been established as an initial step toward the development of village tourism.

The hospitality industry is a strategic sector within the global tourism system that heavily depends on service quality and food safety assurance. In hotel operations, the pastry division represents a high-risk unit due to the use of perishable ingredients and intensive manual handling processes. This study aims to analyze the implementation of hygiene and sanitation practices in the Pastry Division of Hotel Aruss Semarang in supporting food safety standards within the hospitality industry. This research employs a qualitative approach with a case study design. Data were collected through participatory observation, semi-structured interviews, and document analysis, including Standard Operating Procedures (SOPs), sanitation checklists, and temperature control records. Data validity was strengthened through triangulation and member checking, while thematic analysis was used to identify key implementation patterns. The findings indicate that the implementation of personal hygiene, environmental sanitation, and Good Manufacturing Practices (GMP) has generally complied with most of the requirements of Good Processed Food Manufacturing Practices (CPPOB). The availability of sanitation facilities, periodic medical check-ups, equipment maintenance, and FIFO-based storage systems demonstrate management commitment to preventive risk control. However, inconsistencies in handwashing practices and minor construction details that do not fully meet hygienic design standards indicate areas requiring improvement. Overall, hygiene and sanitation implementation in the Pastry Division has been effective in supporting food safety. Strengthening behavioral compliance, continuous training, and facility optimization are recommended to achieve a more sustainable and comprehensive food safety management system.

This article examines the effectiveness and application of management principles of Village-Owned Enterprises (BUMDes) in managing the Ponggok Tourism Village, Klaten Regency, based on Klaten Regional Regulation Number 1 of 2018. As a leading national tourism village, Ponggok Village has demonstrated significant success through the active role of BUMDes Tirta Mandiri. This research employs an empirical legal method with a qualitative descriptive approach to illustrate the actual governance of BUMDes. The findings indicate that BUMDes Tirta Mandiri has optimally applied organizational effectiveness principles through digital innovation, professional corporate management, and the optimization of Umbul Ponggok's water resources. Moreover, the implementation of governance principles based on the regulation has provided a clear legal framework, generated massive Village Original Income (PADes), and promoted inclusive economic growth. However, challenges remain in ensuring that the economic benefits fully reach all marginalized groups. This study underscores the importance of continuous institutional capacity building to maintain the existence and competitiveness of the tourism village.

This research investigates the effectiveness of container cargo information management systems at Indonesian ports, examining the critical roles of competency training, shore-based personnel capabilities, and technology adoption in determining system performance and operational outcomes. Container terminals increasingly rely on sophisticated information systems including Terminal Operating Systems (TOS), Port Community Systems (PCS), and Electronic Data Interchange (EDI) for coordinating complex cargo operations, yet system effectiveness depends not solely on technology sophistication but critically on personnel competency, training adequacy, and human-technology integration. Through qualitative analysis involving terminal operators, port information system managers, shore-based operational personnel, training coordinators, and technology providers, this study examines how the interplay between human capabilities and technological capabilities determines information system effectiveness. Results demonstrate that comprehensive competency training programs can improve system utilization effectiveness by 45-65%, reduce operational errors by 50-70%, and enhance productivity by 25-40% through better human-technology integration. Key challenges include inadequate training investment, high personnel turnover, technology complexity exceeding user capabilities, and organizational resistance to systematic training programs. Findings reveal that container terminal information system effectiveness depends fundamentally on sociotechnical system optimization addressing both technological infrastructure and human capability development through sustained competency building programs. This research contributes to port operations literature by providing evidence-based frameworks for human factors integration in port technology implementation.

This research aims to explore the satisfaction–revenue nexus by examining the effect of tourist satisfaction on Revenue Per Available Room (RevPAR) performance in three-star hotels across Southeast Asia. Grounded in Expectation–Confirmation Theory and the Service-Profit Chain framework, the study conceptualizes tourist satisfaction as a strategic intangible asset that contributes to financial performance through both direct and indirect mechanisms. A mixed-methods sequential explanatory design was employed. Quantitative panel data were collected from 312 three-star hotels in Indonesia, Malaysia, Thailand, Vietnam, and the Philippines over the period 2019–2024 and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and panel regression techniques. The results indicate that tourist satisfaction has a positive and statistically significant direct effect on RevPAR. Furthermore, occupancy rate partially mediates this relationship, suggesting that satisfaction enhances revenue performance primarily through demand stabilization and increased room utilization. Qualitative findings from managerial interviews further confirm that guest satisfaction strengthens online reputation, repeat visitation, and revenue consistency. This study contributes empirical evidence to the literature on satisfaction-driven financial performance in mid-scale hospitality markets and offers strategic implications for revenue optimization in competitive Asian contexts.  

The community service activity entitled “Optimization of MSME Financial Management Based on Sharia Economic Principles” aims to enhance financial literacy and management capacity of micro, small, and medium enterprises (MSMEs) in Bekasi Regency in a sustainable manner. This program is designed to address the practical needs of business actors in managing their finances in an orderly, transparent manner and in accordance with Sharia values. Through a participatory training approach and action-based mentoring, a total of eight MSME participants took part in a series of activities, including basic financial recording training, simulations of Sharia-based financial statement preparation, as well as an introduction to various halal financing alternatives and the utilization of Sharia fintech. The results of the activity indicate a significant increase in participants’ understanding of Sharia financial concepts, rising from 45% to 85%, along with improved skills in preparing financial statements in accordance with Sharia principles. In addition, this program also generated positive social changes, marked by the establishment of the “Bekasi Berdaya Sharia MSME Group” as a platform for collective learning, business collaboration, and network strengthening. These findings demonstrate that the application of Sharia financial principles in community empowerment programs can strengthen economic resilience while fostering ethical, transparent, and value-driven business practices.

This study aims to analyze strategies for optimizing the management of the library of the Majelis Ulama Indonesia (MUI) of Sumatera Utara Province in carrying out its role as an authoritative center for Islamic literacy and information. As an institution overseeing the Pendidikan Tinggi Kader Ulama (PTKU), the library holds a strategic position but faces challenges in terms of standardization and digital adaptation. The method employed is a descriptive qualitative study examining aspects of collection management, compliance with the National Library Standards (SNP), and the implementation of information technology. The findings indicate that the MUI North Sumatra Library possesses notable strengths in its collection of centuries-old classical kitab kuning manuscripts and unique documents from scholars’ deliberative forums (muzakarah). Optimization efforts include manuscript digitization using the Senayan Library Management System (SLiMS), management training for PTKU students, and the integration of information services through the organization’s official portal. The study concludes that strengthening human resource capacity, ensuring sustainable budget support, and meeting physical facility standards are key factors in transforming the library into an intellectual beacon of Islam in the Media 4.0 era.

This study examines the role of local governments in improving the quality of public services as part of an initiative to achieve responsive governance that prioritizes the public interest. This study departs from the limitations of previous research, which tends to focus on the technical aspects of service quality, while the strategic role of local governments as the primary actors in improving the quality of public services remains underexplored. The purpose of this study is to analyze the role of local governments in improving the quality of public services and identify factors influencing the optimization of this role. The method used in this study is a qualitative approach through a literature review analyzing various secondary sources such as scientific books, national and international journals, regulations, and reports from relevant official institutions. The study findings indicate that local governments play a significant role in improving the quality of public services through three main dimensions: a community-focused service orientation, technology-based service innovation, and strengthening inclusive and collaborative service management. The integration of these three dimensions supports more efficient, transparent, and responsive public services to community needs. This research provides a conceptual contribution to the field of public administration, emphasizing the importance of strengthening the role of local governments as a key factor in sustainably improving the quality of public services.

This study aims to evaluate the performance of digital information systems, including websites and mobile applications, used by national expedition companies in Indonesia, using standardized technical indicators from Google Web.dev. This research employs a descriptive and evaluative approach with purposive sampling. The research objects comprise five major national expedition companies: JNE, J&T Express, SiCepat, Pos Indonesia, and Lion Parcel. The evaluation is conducted using four main indicators: Performance, Accessibility, Best Practices, and Search Engine Optimization (SEO). The results indicate that, in general, the digital information systems of national expedition companies function adequately; however, there are notable performance variations among companies, particularly in terms of loading speed and mobile performance. Pos Indonesia demonstrates the most balanced overall performance, while several other companies require further optimization, especially in performance efficiency and SEO. This study contributes to the literature by providing an objective technical evaluation of expedition information systems and offering practical recommendations to improve digital service quality, enabling faster, more secure, and more responsive logistics services in a highly competitive industry.

Abstract. Locally Generated Revenue (PAD) is an important indicator in assessing a region's fiscal independence. One source of PAD with potential for development is Groundwater Tax (PAT), particularly in areas with significant groundwater utilization. This study aims to evaluate the contribution of Groundwater Tax to Locally Generated Revenue (PAD) in Sikka Regency during the 2020–2024 period. The research method used is descriptive with quantitative and qualitative approaches. The data used are secondary data obtained from the Sikka Regency Regional Revenue Agency, including data on realized Groundwater Tax and PAD revenues, as well as primary data obtained through observations and interviews during the internship. Data analysis techniques were used to calculate the contribution of Groundwater Tax to.Total PAD and analyze its revenue development from year to year. The results show that the contribution of Groundwater Tax to Sikka Regency's PAD is still relatively small and fluctuates, although overall PAD realization is quite effective. This low contribution is influenced by several factors, including suboptimal taxpayer compliance, limited human resources, and the suboptimal implementation of the regional tax digitalization system. Therefore, strategic efforts are needed in the form of increasing supervision, taxpayer data collection, tax socialization, and optimization of the tax administration system to increase the contribution of Groundwater Tax to Sikka Regency's PAD in the future

Acute Respiratory Infections (ARI) remain one of the public health problems that contribute significantly to high morbidity rates, especially among vulnerable groups. Community health centers, as primary health care facilities, play an important role in recording, reporting, and monitoring cases through surveillance systems. This study aims to determine the description of ARI cases and evaluate the implementation of the ARI surveillance system at the Perumnas Community Health Center from August to October 2025. This study uses a descriptive evaluative approach. The surveillance system evaluation is based on the 5M components, namely man, money, material, method, and machine. Data were obtained through a review of surveillance documents and observation of the implementation of the ARI case recording and reporting system at the health center. The results of the study indicate that ARI is still one of the most common diseases found in the Perumnas Community Health Center's working area. The implementation of ARI surveillance is generally running well, but there are still several obstacles in terms of human resources, supporting facilities, data completeness, and optimization of reporting methods. These conditions affect the quality of the epidemiological information produced. Therefore, it is necessary to strengthen the surveillance system by increasing the capacity of officers, providing supporting facilities, and improving recording and reporting mechanisms so that the implementation of ARI surveillance is more effective and supports disease control efforts.

This research benchmarks multiple machine learning (ML) algorithms for large-scale loan default prediction using a real-world dataset of 255,000 borrower records, where default cases represent only ~9–12% of total observations. The study addresses the persistent gap in comparative analyses of ML models that balance predictive accuracy, interpretability, and computational efficiency for credit risk assessment. Six algorithmic families were evaluated Logistic Regression, Random Forest, XGBoost, LightGBM, CatBoost, Artificial Neural Networks (ANN), and Stacked Ensemble—using standardized preprocessing, hybrid imbalance handling (SMOTE, class weighting, under-sampling), and comprehensive evaluation metrics (AUC, F1, Recall, Precision, PR-AUC, and Brier Score). Empirical results show Logistic Regression achieved the highest AUC of 0.732, outperforming nonlinear models under the baseline configuration, while LightGBM attained perfect recall (1.0) but low precision (0.116), indicating over-prediction of defaults. Gradient boosting models demonstrated robust calibration (Brier ≈ 0.114–0.116) and the best computational efficiency, with LightGBM showing the fastest training and lowest memory use. CatBoost exhibited strong recall but the slowest computation, and ANN underperformed on tabular data (AUC ≈ 0.56). The Stacked Ensemble delivered balanced results with AUC = 0.664 and improved overall stability. These findings confirm that boosting-based models, particularly LightGBM and CatBoost, offer superior scalability and calibration, whereas Logistic Regression remains a valuable interpretable baseline. The study concludes that effective default prediction requires integrating rebalancing, calibration, and threshold optimization to enhance recall and operational deployment reliability in large-scale credit ecosystems.

Competition in the media business is increasingly difficult as the number of online media grow and access to news becomes easier. Each media strives to maintain its existence and remain the public's preferred source of information, including Good News from Indonesia (GNFI). This article discussed GNFI's strategy through the application of search engine optimization (SEO) techniques and the challenges encountered in SEO update. Data were collected through observation, interview, and document review from January to August 2025. The results show that GNFI applied on-page and off-page SEO techniques as a strategy to increase visibility in search engines. The presence of an AI Overview posed a challenge in itself, as it could reduce the number of click view the news portal. The application of SEO techniques was not only a technical optimization strategy but also a form of media adaptation to the changing digital journalism landscape influenced by technological advances. 

This study is motivated by the development of digital technology, which has driven a transformation in the learning paradigm from conventional models to more flexible, interactive, and innovative technology-based learning. Changes in student characteristics in the digital era require adaptive learning strategies that are able to improve both the efficiency of the learning process and learning outcomes. This study aims to describe and analyze digital learning strategies in enhancing learning efficiency and their impact on student achievement. The research employs a qualitative approach using a literature review by examining various relevant scientific sources related to the concepts, characteristics, implementation, and impacts of digital learning. The data were analyzed using content analysis techniques to produce a systematic conceptual framework. The findings indicate that systematically designed digital learning strategies can improve conceptual understanding through interactive content delivery, strengthen students’ motivation and independent learning, and enhance retention and learning mastery. Learning efficiency is reflected in flexible access, time optimization, and technology-based assessment. However, its implementation still faces challenges such as limited infrastructure and digital literacy. Therefore, careful planning and the improvement of digital competencies are necessary to ensure that digital learning can be implemented effectively and sustainably in improving the quality of education.

The Role digital marketing nowadays become part important in today's business strategies implemented by MSMEs, which is enable MSMEs to​​ reach the target market with more broad , measurable , and efficient in global value chain (GVC) context . Digital marketing strategies do not  can denied  involving various elements, including optimization machine search engine optimization (SEO), marketing through social media, digital advertising, marketing content ,and also email marketing. In buniess process of PT Bungas food Nusatra abalikpapan tahy have product a weadang dayang.  In facing such a market dynamic, marketing strategy must capable adapt with current digital trends including Fear of Missing Out (FOMO) approach to create greater urgency and involvement​ tall in a way contextual relation with the value chain that creates consumer new abroad or​ marketing across countries by them. In this case, on of the challege ib export product process. The methods of research here, is survey and looking some literature that related in this subject discussion and research, the conclusion is  the With utilise trend this company​ can increase visibility brand , strengthen interaction with customers  and encourage conversion sale in a way more effective and This strategy expected can give impact positive to growth business and power competition companies in the digital era in more fluently in global value chain (GVC).

This community engagement program addresses the limited digital marketing utilization of Be Bloomy Bouquets, a creative knitting business, within the MBKM Entrepreneurship framework. The program aims to design and implement adaptive digital marketing strategies to enhance brand visibility, competitiveness, and business sustainability. Using a Participatory Action Research (PAR) approach, the program was conducted from October to November 2025 through preparation, implementation, and evaluation stages. The results indicate that digital marketing assistance via Instagram and TikTok significantly increased audience reach, customer interaction, and brand awareness, while marketplace utilization still requires further optimization. The discussion highlights that integrating handmade product creativity, digital branding strategies, and participatory reflection fosters entrepreneurial behavior change and strengthens local leadership capacity. In conclusion, the program generates not only technical improvements in marketing performance but also social transformation through enhanced digital literacy, independence, and local leadership. Future recommendations emphasize content consistency, production management, and sustainable digital marketing strategies.