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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.

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.      

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 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 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

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.

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.

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

Patient trust is a crucial variable in hospital management, determining clinical success, treatment adherence, and institutional loyalty. In the increasingly competitive and digitalized modern healthcare landscape, hospitals face unique challenges stemming from the inherent characteristics of healthcare services. This article presents a systematic literature review exploring the determinants of patient trust through the lens of hospital service characteristics: intangibility, inseparability, variability, and perishability. This study followed the PRISMA protocol and analyzed 150 articles published between 2010 and 2026 from Scopus, Web of Science, and Google Scholar databases. The review results indicate that assurance and empathy are the most significant service quality dimensions in mitigating perceived risk due to intangibility. Meanwhile, the quality of therapeutic communication is a key factor in managing inseparability, and standardization of operational procedures is necessary to address variability. The study also identifies the role of digital technology and the physical environment as "tangible evidence" that strengthens hospital credibility. The managerial implications of this research emphasize the need for organizational culture transformation oriented toward humanitarian values ​​and transparency to rebuild public trust that has eroded in the post-pandemic era.

The rapid development of information technology drives various business sectors, including the beauty and health industry, to adopt digital systems in their operational management. A Beauty Clinic, a medium-scale aesthetic clinic, faces significant operational challenges in managing human resources, finance, and digital marketing in an integrated manner. This study aims to analyze the existing manual operational system of A Beauty Clinic using the PIECES framework (Performance, Information, Economy, Control, Efficiency, Service), design and configure an Odoo ERP Community Edition implementation integrating the HR, Invoicing/Point of Sale, and Social Marketing modules, and evaluate the operational efficiency improvements achieved. The research employed a qualitative descriptive approach with a case study method and Rapid Application Development (RAD) as the system development methodology. Data was collected through direct observation and semi-structured interviews. The results show that the manual system experienced critical problems across all six PIECES dimensions. Post-implementation evaluation indicates an estimated 80% reduction in the secretary's administrative workload (from 20–25 hours to 3–5 hours per month), over 90% reduction in payroll error frequency, and an 87% reduction in transaction processing time per cashier transaction. The implementation of role-based access control and complete audit trails fundamentally addressed the security vulnerabilities identified in the as-is analysis. This study demonstrates that Odoo Community Edition is an effective, comprehensive, and cost-efficient ERP solution for small and medium-scale beauty clinics seeking to transform from fragmented manual systems to integrated, data-driven information systems.

The development of technology in the digital era has significantly altered consumer behavior, particularly for Generation Z, who are known as digital natives. This group possesses unique characteristics, highly relying on social media to seek product information before making purchasing decisions. This study aims to analyze digital marketing management strategies through social media in enhancing brand engagement and loyalty among Generation Z consumers, as well as to identify the key determinants of its success. The research method employed is descriptive qualitative, utilizing literature review as the data collection technique across prior scientific sources. The analysis reveals that the implementation of digital marketing strategies based on visual content and short-form videos on platforms such as TikTok and Instagram is proven to be highly effective in capturing the audience's attention rapidly. In addition to content format, collaboration with highly credible influencers and the application of authentic, responsive two-way communication serve as the main pillars in building emotional proximity and trust among young consumers. Operationally, this strategy offers cost efficiency and a broader market reach. The conclusion of this study emphasizes that the optimal integration between management information systems and interactive, adaptive communication approaches toward digital trends is the main key to winning the market and sustaining the long-term loyalty of Generation Z.

Flight crew productivity is a strategic factor in maintaining flight safety, operational efficiency, and airline competitiveness in the high-reliability aviation industry. This study aims to analyze and synthesize factors influencing flight crew productivity through a conceptual approach based on literature review. The research method used is library research with a systematic literature review technique. The type of data used is secondary data in the form of scientific articles, proceedings, and relevant previous research reports. Data sources were obtained from scientific databases such as Scopus, EBSCO, Copernicus, and SINTA. The results of the study indicate that adequate individual capabilities, a high level of work engagement, a measurable KPI system, and a fair and competitive remuneration scheme have a positive relationship with increasing aircrew productivity. Managerial implications emphasize the importance of designing integrated human resource policies, particularly in competency development, a safety- and efficiency-based performance appraisal system, and compensation management oriented towards sustainable performance.

This study aims to analyze the effect of financial statement quality and internal control systems on the tax compliance of salted egg MSMEs in Brebes Regency, with business performance as a mediating variable. The research employed a quantitative approach using primary data collected through questionnaires distributed to 150 respondents selected through purposive sampling techniques. Data analysis was conducted using the Partial Least Square-Structural Equation Modeling (PLS-SEM) method. The results indicate that the quality of financial statements has a positive and significant effect on business performance, but a negative and significant effect on MSME tax compliance. Meanwhile, the internal control system does not significantly affect business performance, but has a positive and significant effect on tax compliance. Business performance is also proven to have a positive and significant effect on tax compliance and is able to mediate the effect of financial statement quality. These findings provide an important contribution by showing that high-quality financial statements support business operational management; however, tax assistance and guidance are still needed so that these reports can effectively improve tax compliance.

This study aims to measure the information technology governance capability level at SLB Cendana Rumbai using the COBIT 2019 framework. The study was conducted due to several issues in information technology management, including the absence of structured risk management, the lack of Standard Operating Procedures (SOPs) related to information security, the absence of periodic data backup and recovery mechanisms, and irregular monitoring of system security. This study focuses on the APO12 (Managed Risk) and APO13 (Managed Security) domains, which were selected based on design factor results as the main priorities for information technology management in the school. The research methods employed include observation, interviews, documentation, and questionnaire distribution to relevant stakeholders. The capability level measurement was carried out to determine the current condition of information technology governance (current capability), identify gaps between the current and expected levels, and formulate improvement recommendations. The results indicate that risk management and information security at SLB Cendana Rumbai still require improvement to become more effective, structured, and well-directed. Therefore, improvement recommendations were proposed as guidelines to enhance the quality of information technology governance in supporting the school’s operational activities optimally.  

This study aims to evaluate user satisfaction with the Customer Service Management System (CSMS) at PT Jaya Abadi Kontrindo using the End User Computing Satisfaction (EUCS) method. The CSMS is utilized to support various operational activities, such as purchase requests, payment requests, accounts receivable management, sales order rescheduling, and digital report generation. However, the system still faces several issues, including suboptimal response time, lack of user guidance, and the absence of a specific evaluation of user satisfaction. This study employs a qualitative approach by distributing questionnaires to 50 CSMS users using purposive sampling. The instrument was developed based on the five EUCS dimensions, namely content, accuracy, format, ease of use, and timeliness. The collected data were analyzed using validity testing, reliability testing, mean-based descriptive analysis, and Spearman correlation analysis. The results show that all questionnaire items are valid and reliable. In addition, all EUCS dimensions fall into the satisfied category, with the highest score in ease of use and the lowest in content. The Spearman correlation results also indicate that all EUCS dimensions have a significant relationship with user satisfaction.