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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.

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.

Asset inventory management is vital for enhancing the operational efficiency of an organization. At the Communication and Informatics Office of Tegal Regency, the process for managing asset inventory is still performed manually, leading to various issues including challenges in asset documentation, data retrieval, management of borrowing, reporting damage, and overseeing the condition of assets. This research intends to create a web-based asset inventory management solution that leverages Quick Response (QR) Code technology to boost the effectiveness, efficiency, and precision of inventory management. The methodology employed for the system's development was Agile Development, which includes stages such as planning, analyzing requirements, designing the system, developing, testing, and conducting iterative evaluations. Data gathering was conducted through observation, interviews, and reviewing existing literature. The completed system offers several key features, such as inventory management, the ability to generate and scan QR Codes, processes for borrowing and returning assets, damage reporting, a monitoring dashboard, and management of user access based on roles.  The findings reveal that the implemented system enhances asset identification through QR Codes, delivers real-time inventory data, and enables more efficient monitoring of assets. According to Black Box Testing results, all functionalities of the system performed in alignment with the identified functional requirements. Consequently, the web-based asset inventory management system utilizing QR Code technology can act as a useful solution to enhance the asset inventory management quality at the Communication and Informatics Office of Tegal Regency.

This research focuses on developing an ERP application accessible through a web platform by utilizing the Laravel framework to support operational data integration within the company. The application development process adopted the Waterfall approach, which was carried out through several sequential stages including requirements identification, system design, implementation, evaluation, and maintenance. Laravel was used as the development framework and MySQL as the database management system. The findings indicate that the developed application is capable of consolidating operational information into a unified platform that can be accessed by different organizational units.

Manual server administration introduces operational inefficiencies and elevated risks of human error. This study evaluated the effectiveness of server administration automation utilizing Shell scripting and Cron Job scheduling within a virtualized Linux Debian 12 environment. An experimental method compared manual execution against automated procesases based on execution duration, resource consumption, and error reduction. The findings indicated that the automated system executed backup routines within 0.043 seconds, demonstrating a 95.16% time efficiency increase compared to the manual baseline of 0.89 seconds. Automated monitoring maintained a stable resource allocation, utilizing 275 megabytes of memory and low central processing unit usage between 0.0% and 1.3%. Furthermore, automation reduced operational failures to 0%. In conclusion, this integration significantly optimizes server reliability.

The tourism industry faced hyper-competition wherevisual identity became a vital asset, particularly ondigital platforms. Mbarep Tour and Travel struggledwith disintegrated visual management, resulting in alow engagement rate of 1.34 percent and significantinconsistencies in typography (70 percent). Thisresearch aimed to design an Integrated VisualIdentity System as a strategic solution for branddifferentiation. The Research and Developmentmethod was employed using a hybrid workflow thatintegrated CorelDRAW for vector precision, Geminiartificial intelligence for mascot three-dimensionalenhancement, and Canva for operational templates.The outcome was a comprehensive identity system,including refined logos, standardized typography,and a brand mascot, all codified in a GraphicStandard Manual. Post-implementation resultsshowed 100 percent effectiveness in resolving visualinconsistencies and increased the engagement rate to1.79 percent. This system successfully transformedthe brand into a more professional and competitiveentity.

Changes in labor regulations through the Job Creation Law have brought significant changes to the employment system in Indonesia, particularly in terms of labor flexibility. This study aims to analyze labor flexibility after the implementation of the Job Creation Law from the perspective of Human Resource Management (HRM). The research method used is a qualitative approach through a literature study with thematic analysis of 16 scientific journals, books, and regulations related to labor flexibility and strategic Human Resource Management (HRM) practices. The results show that labor flexibility has positive impacts on companies in improving operational efficiency, productivity, and adaptability to market changes. However, on the other hand, such flexibility also creates several challenges, including job uncertainty, decreased job security, and reduced protection for contract and outsourced workers. From the HRM perspective, companies are required to create a balance between business interests and labor protection in order to maintain harmonious industrial relations. This study is expected to provide a more comprehensive understanding of labor flexibility as part of human resource management strategies in the post-labor deregulation era in Indonesia.

The development of Artificial Intelligence (AI) has driven significant transformation in hospital management, particularly in operational efficiency, service quality, and patient safety. This study aims to analyze the implementation of AI in hospital management based on recent scientific evidence from 2020 to 2026. The method used was a systematic review guided by the PRISMA 2020 framework. Literature was retrieved from PubMed, ScienceDirect, SpringerLink, Google Scholar, and ProQuest. From 360 identified articles, a stepwise selection process was conducted, resulting in 15 articles that met the inclusion criteria. The findings indicate that AI contributes to improved operational efficiency through patient flow optimization, operating room management, workforce scheduling, and electronic medical record management. AI also enhances service quality through predictive data analytics and supports patient safety through risk detection and early warning systems. In conclusion, AI has strong strategic potential to support modern hospital management. However, its implementation still faces several challenges, including human resource readiness, data security, algorithmic bias, system interoperability, and investment requirements. Therefore, AI implementation should be carried out in a planned, ethical manner and evaluated from a health economics perspective.

This study aims to analyze the effect of artificial intelligence (AI)-based demand forecasting and big data analytics on inventory optimization through prediction accuracy among e-commerce actors or marketplace sellers in Curug. This research employed an explanatory quantitative approach involving 100 respondents selected through purposive sampling based on predefined criteria relevant to the research objectives. Data were collected using a structured Likert-scale questionnaire and analyzed using Structural Equation Modeling Partial Least Squares (SEM-PLS) by evaluating the measurement model, structural model, and mediation effects. The findings reveal that AI-based demand forecasting and big data analytics have a positive and significant effect on prediction accuracy. Furthermore, prediction accuracy has a positive and significant effect on inventory optimization and significantly mediates the relationship between AI-based demand forecasting, big data analytics, and inventory optimization. These findings indicate that the integration of AI and big data analytics contributes to more accurate demand prediction, leading to improved inventory management performance. The implication of this study suggests that e-commerce actors should improve data quality, analytical capability, and the adoption of predictive technologies to support more accurate, efficient, and responsive inventory decisions, thereby enhancing operational performance and competitiveness in responding to dynamic market demand.      

This research aims to analyze the gap between the profit-sharing principle as the normative foundation of Islamic economics and the risk management practices applied in sharia cooperatives, considering the ongoing inconsistencies in the implementation of the risk-sharing principle. The research method employs a qualitative approach thru literature study with thematic and comparative analysis techniques on relevant academic literature. The results and discussion indicate that sharia cooperatives tend to adopt a conventional risk management paradigm oriented toward institutional stability, thereby triggering the dominance of non-profit-sharing contracts and the shift of the concept of risk sharing to risk shifting in operational practices. The gap is influenced by structural factors, including limitations in managerial capacity, information asymmetry, potential moral hazard, and pressures of institutional sustainability. This study concludes that the risk management practices of sharia cooperatives do not fully reflect the principles of Islamic economics, thus necessitating a reconstruction of a more integrative and contextual risk management model. As a suggestion, sharia cooperatives need to develop a risk management framework based on risk sharing that is adaptive to operational risks without disregarding the values of justice and partnership as the main characteristics of Islamic economics.

This study aims to examine the implementation of Interpretation of Financial Accounting Standards (ISAK) 335 in the financial management of non-profit foundations in Tanah Datar Regency, particularly in Rambatan and Sungai Tarab Districts. The study employed a qualitative case study approach using semi-structured interviews with financial managers from four foundations: Yayasan SLB Az-Zahra, Yayasan Darul Ulum/Darul Hafazah, Yayasan Daarut Tahfidz Al-Sulaiman, and Yayasan Jabal Rahmah. Data were analyzed using thematic analysis to identify the level of ISAK 335 implementation and the factors affecting its adoption. The findings reveal that none of the foundations have implemented ISAK 335 in preparing their financial statements. The main obstacles include the limited availability of personnel with accounting expertise, simple bookkeeping practices focused only on cash inflows and outflows, inadequate understanding of accounting standards for non-profit entities, and dependence on a single source of operational funding. Consequently, the financial statements do not comply with applicable accounting standards, resulting in low levels of transparency, accountability, and financial information quality. This study recommends enhancing the capacity of financial managers through training, gradually adopting ISAK 335, utilizing digital bookkeeping systems, and diversifying funding sources to strengthen accountable financial governance and ensure organizational sustainability.

Electricity service quality depends not only on physical network expansion but also on the availability of accurate, traceable, and spatially integrated asset data. This study aims to formulate an infrastructure inventory plan for electricity distribution networks as a basis for optimizing electricity services in Musi Rawas Regency, Indonesia. A descriptive-technical approach was applied using administrative maps, spatial planning documents, distribution network maps, feeder single-line diagrams, January 2026 customer data, bill of quantity documents for electricity and public street lighting, and the planned network drawing for Mandi Aur Village. The results show that 14 target districts served approximately 101,932 customers, consisting of 78,564 postpaid and 23,368 prepaid customers. Tugumulyo, Megang Sakti, Muara Kelingi, and Muara Lakitan represented the largest customer concentrations and should be prioritized for detailed asset verification. The proposed inventory object includes medium-voltage lines, low-voltage lines, poles, distribution transformers, protection equipment, public street lighting, panels, and operation-worthiness documents. The inventory database should include unique asset codes, coordinates, feeder identity, specifications, physical condition, photographs, operational status, and follow-up actions. Spatial inventory is expected to improve maintenance planning, outage response, public lighting management, safety control, and evidence-based network development.

This research is motivated by the importance of implementing Standard Operating Procedures (SOP) in speed boat maintenance activities as a supporting facility for ship agency operations at PT. Sinar Pasific. The high intensity of speed boat usage makes the fleet vulnerable to damage if maintenance is not carried out regularly and according to procedures. Based on initial observations, inconsistencies in maintenance implementation, incomplete documentation, and damage to the engine, electrical systems, and hull were still found, which can disrupt company operations. This study aims to determine the implementation of SOPs, the obstacles encountered, and the efforts made to optimize speed boat maintenance at PT. Sinar Pasific. This research was conducted at PT. Sinar Pasific during the author’s Onboard Practical Training (PRADA) from August 2024 to July 2025. The research method used is a descriptive qualitative method. The data sources were obtained through direct field observation, semi-structured interviews with personnel involved in speed boat operations, and documentation studies related to fleet maintenance activities. The results show that the implementation of Standard Operating Procedures (SOP) in speed boat maintenance at PT. Sinar Pasific has been carried out but has not yet run optimally. This is indicated by inconsistent maintenance schedules, lack of supervision, and incomplete maintenance documentation. In addition, several problems were still found, such as damage to the engine, electrical systems, and speed boat hulls, which can hinder company operations. To overcome these obstacles, the company has made efforts by improving discipline in SOP implementation, conducting regular supervision and evaluation, improving maintenance documentation, and increasing technicians’ understanding of the importance of preventive maintenance so that speed boat conditions are maintained and operational activities run smoothly.

The governance of sand and gravel mining requires an integrated assessment of technical planning, occupational safety, environmental control, reclamation, and regulatory compliance. This study evaluated the governance of CV. Ria Bersaudara, a sand and gravel mining company located in Pasar Surulangun, Rawas Ulu District, Musi Rawas Utara Regency, using the Good Mining Practice framework. The study used a descriptive evaluative approach based on field observation, document review, indicative resource estimation, equipment productivity analysis, occupational safety and environmental risk assessment, and compliance mapping. The results show that the company has a basic legal foundation through an exploration mining permit covering 12.5 ha; however, several governance components require improvement. The indicative prospective area was approximately 2.50 ha, with an effective follow-up area of 1.80 ha and an estimated indicative resource of 21,600 m³ or 35,640 tons. Productivity analysis indicated that excavator capacity reached about 61 m³/hour, while one dump truck only transported about 10.3 m³/hour, creating a haulage bottleneck if the truck fleet is insufficient. Safety implementation was also not optimal, with personal protective equipment compliance estimated at only 55%. The study recommends validating permit documents, strengthening technical exploration data, improving drainage and sediment control, enforcing safety procedures, implementing progressive reclamation, and establishing daily operational records.

The purpose of this community service activity was to improve the financial accountability of cooperatives by developing a PERSUS on the KPUD Kieskendo in Panunggalan Village, Pulokulon District, Grobogan Regency. The activity was conducted through a workshop and mentoring session involving the cooperative's management and supervisory board. It began with a presentation on the importance of financial accountability, good cooperative governance, and the implementation of SAK EP. The identification results indicated that the cooperative lacked a written accounting policy for internal oversight, financial reporting, and transaction recording. Next, the community service team drafted a PERSUS, which regulates financial reporting, cash and bank management, loan receivables, the formation of CKPN, internal supervision, related party transactions, and fraud prevention. To align the policy with the cooperative's operational needs, discussions on the draft were conducted through participatory, article-by-article discussions. The results of the activity indicated that the management and supervisory board had a better understanding of the benefits of accounting policies for increasing transparency and accountability in cooperative management. It is hoped that the PERSUS will serve as an official guideline for creating more professional, transparent, and sustainable cooperative governance.

This study investigates the integration of digital twin technology and machine learning for predictive analysis in smart mechanical systems. The research emphasizes the role of intelligent computational frameworks in improving industrial monitoring, predictive maintenance, and operational efficiency within Industry 4.0 environments. A qualitative content analysis approach was employed by reviewing scientific literature, industrial reports, and previous studies related to digital twins, artificial intelligence, and predictive analytics. The findings indicate that digital twin architectures supported by machine learning algorithms can significantly enhance real-time monitoring, fault prediction accuracy, and maintenance optimization. The integration of IoT devices, cloud computing, and intelligent analytics also improves industrial sustainability, reduces operational downtime, and supports data-driven decision-making processes. Furthermore, the study identifies several technological challenges, including cybersecurity risks, data integration complexity, and computational limitations. Overall, the proposed intelligent digital twin framework provides a promising approach for future industrial innovation and sustainable smart mechanical system management

Food and nutrition governance is a central issue in subnational development, especially in areas with high agricultural potential but persistent malnutrition. This study analyzes how Grobogan Regency, Indonesia, implements food and nutrition governance through its 2025–2029 Regional Action Plan for Food and Nutrition Based on Local Resource Potential (RAD-PGBPSDL). Using qualitative policy analysis, the research examines policy design, strategic priorities, coordination mechanisms, and indicator frameworks, supported by secondary data on food production, consumption, poverty, and nutrition. Findings show that Grobogan possesses strong local food assets, including surplus production, improved dietary quality, and diverse commodities. However, major governance challenges persist, such as high stunting rates, maternal energy deficiency, uneven food access, climate-related production risks, and fragmented cross-sector data systems. The policy demonstrates a shift toward multisectoral governance by integrating food availability, affordability, utilization, institutional coordination, climate resilience, and local food diversification. Implementation may be constrained by limited operational detail, uneven agency readiness, and insufficient monitoring and accountability. The study highlights that effective food and nutrition governance requires institutional coordination, evidence-based planning, and adaptive public management. The Grobogan case provides practical lessons for strengthening subnational governance in Indonesia and similar developing contexts.

This study examines the alignment of Regional Regulation of Grobogan Regency Number 3 of 2022 concerning the Environmental Protection and Management Plan (RPPLH) 2022–2052 with higher-level legislation, particularly Law Number 32 of 2009 on Environmental Protection and Management, Law Number 6 of 2023 concerning Job Creation, and Government Regulation Number 26 of 2025 on RPPLH from the perspective of Rechtszekerheid (Certitudo Juris). The research employs a normative juridical method using statutory and conceptual approaches. Primary legal materials include environmental legislation and the Grobogan RPPLH Regulation, while secondary materials consist of scholarly literature, academic journals, and official reports. The findings reveal that the Grobogan RPPLH Regulation is generally consistent with the fundamental principles of environmental protection established in national legislation. Nevertheless, several technical and operational inconsistencies remain, particularly regarding monitoring and evaluation mechanisms, environmental carrying and assimilative capacity arrangements, environmental information systems, substantive public participation, and legal consequences for non-compliance with RPPLH provisions. These shortcomings may create regulatory conflicts, legal uncertainty, and ineffective environmental governance. From the perspective of Rechtszekerheid, environmental policy implementation in Grobogan Regency has not fully satisfied the requirements of legal clarity, procedural certainty, consistency of enforcement, and public accountability. Therefore, regulatory harmonization is required through limited revision of the RPPLH Regulation, preparation of implementing regulations, institutional strengthening, integration of RPPLH into regional development planning, and establishment of an integrated environmental information system. These measures are necessary to ensure sustainable environmental governance and strengthen legal certainty in environmental protection and management.

In order to raise the standard of healthcare services in the contemporary period, digital transformation in hospital management has become a phenomena. The purpose of this study is to investigate the adoption, advantages, difficulties, and success aspects of digital transformation in healthcare facilities. A literature review employing a narrative review system was the methodology. 14 papers that met the inclusion requirements were found using data sources from Google Scholar, PubMed, and ScienceDirect databases with publication years ranging from 2020 to 2025. To determine the primary study themes, data analysis was carried out utilising a thematic synthesis approach. According to the study's findings, digital transformation can enhance operational effectiveness, service quality, and patient safety by using technology including electronic health records (EHR), telemedicine, and hospital management information systems. However, there are still a number of obstacles to its adoption, such as inadequate infrastructure, inadequate human resource competency, expensive investment costs, and data security threats. Significant barriers also include a lack of system integration and opposition to change. Government policies and regulatory assistance have an impact on the success of digital transformation in hospital administration.

This study aims to identify and explain the factors that influence business management, particularly through a case study of a shipping company. The research employed a descriptive qualitative approach using a literature review method. Secondary data were collected from reputable national and international journal articles that had undergone a peer review process, ensuring that the sources used were academically reliable and relevant to the research focus. The data were analyzed through content analysis and thematic analysis to identify patterns, relationships, and key themes related to business management practices. The results of the study show that organizational structure, leadership, and communication are important factors that influence the effectiveness of business management. Organizational structure contributes to the clarity of roles, responsibilities, and work coordination. Leadership affects direction, decision-making, and employee motivation, while communication supports information flow, coordination, and organizational effectiveness. The managerial implications of this study indicate that efficient business management requires a well-structured organization, effective leadership, and clear communication to support better operational performance and decision-making