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Data architecture is a framework that structures and manages data flows in an organization so that they can be used optimally to support data-based decision-making processes. The right design in data architecture ensures that data can be stored, accessed, processed, and analyzed efficiently. The main components in data architecture include data sources, storage systems, data processing, data integration, and analytics. In addition, aspects of security and data quality management also play an important role in maintaining data integrity and confidentiality. In the context of an ever-evolving business, data architecture must be able to adapt to changing organizational needs and existing technologies, as well as provide scalable and flexible solutions. Therefore, good data architecture management is a key factor in achieving operational efficiency and competitive advantage in the digital era.

The purpose of this research is to examine how production costs factor into producer choices, particularly those pertaining to output volume, selling price estimation, and company growth strategies.  The research examined micro and small business players in Kediri Regency, East Java, employing a descriptive quantitative technique.  The findings demonstrate that the production cost structure, particularly the preponderance of variable costs, considerably affects the quantity of output and the margin for price adjustment.  It has additionally been demonstrated that saving money encourages manufacturers to take risks and grow their companies.  Moreover, management accounting-based cost tracking, waste reduction, and sourcing local raw materials are all cost management tactics that impact a company's strength and ability to compete.  Producers' long-term strategic decision-making is therefore influenced by effective production cost management, which in turn affects operational sustainability.

This study aims to evaluate user satisfaction with the Inspekta Application at PT PLN UP2D S2JB using the PIECES Framework approach, which covers six key aspects: Performance, Information, Economy, Control, Efficiency, and Service. Data was collected through questionnaires distributed to 30 respondents who are active users of the application. The analysis results show that all PIECES indicators scored in the "satisfied" category, with the highest score in the efficiency aspect (4.14) and the lowest in the economic aspect (3.80). Although the Inspekta application has generally had a positive impact on operational efficiency and reporting processes, improvements are still needed in data security and technical support. This study offers strategic recommendations to enhance application quality and support the organization’s overall performance.

This study investigated the influence of financial report preparation skills, financial literacy, and accounting information systems on the performance of micro, small, and medium enterprises (MSMEs) in Cirebon Regency. The research adopted a quantitative approach with a causal associative design. Data were collected through closed-ended questionnaires distributed to 100 culinary-sector MSMEs selected using purposive sampling. The data analysis involved validity and reliability testing, classical assumption tests, and multiple linear regression. The findings revealed that financial report preparation skills, financial literacy, and accounting information systems had both partial and simultaneous positive effects on MSME performance. Specifically, the ability to prepare financial statements and the use of accounting systems significantly enhanced operational efficiency and financial outcomes, while financial literacy contributed to better financial decision-making. The study concluded that improving financial competencies and adopting technology-based accounting practices are key drivers for strengthening MSME performance in the region

Financial distress refers to a company’s persistent inability to meet financial obligations, signaling severe monetary strain that precedes formal bankruptcy or liquidation proceedings. This study investigates the impact of intellectual capital (VAICTM), operational capacity (TATO), capital structure (DER), and operating cash flow (OCF) on financial distress (Altman Z-Score), with profitability (ROA) serving as a mediating variable. The theoretical framework of this research is grounded in signaling theory, agency theory, and resource-based view theory. The study focuses on basic materials companies listed on the Indonesia Stock Exchange (IDX) between 2019 and 2023. The study utilized criterion-based sampling to select qualified respondents. Secondary datasets were analyzed through panel regression and path analysis, with Eviews 12 as the computational tool. Key findings include: (1) intellectual capital and operating capacity demonstrate a statistically significant positive influence on profitability; (2) capital structure exerts a significant adverse impact on profitability; (3) operating cash flow exhibits no statistically discernible impact on profitability; (4) both operating cash flow and profitability are positively and significantly associated with increased financial distress; (5) capital structure displays a significant inverse relationship with financial distress severity; (6) intellectual capital and operating capacity show no statistically significant associations with direct financial distress prediction; (7) profitability partially mediates the influence of intellectual capital, operating capacity, and capital structure on financial distress; and (8) profitability does not serve as a mediating variable between operating cash flow and financial distress.

This article examines the role of the Formed Police Unit (FPU) in the perspective of international humanitarian law and international human rights law, particularly in the context of civilian protection in conflict areas. The FPU is an armed police unit deployed in UN peacekeeping missions with a mandate to protect civilians, maintain order, and support post-conflict recovery. Despite its strategic role, the FPU faces legal, operational and socio-cultural challenges. This study uses a normative-juridical approach by analyzing international legal documents, UN operational standards, and academic literature. It is emphasized that the effectiveness of the FPU is highly dependent on human rights-based training, clarity of mandate, logistical readiness, and the ability to build trust with local communities. This article recommends strengthening accountability mechanisms and cross-sector integration in peace missions, so that the FPU is able to carry out its protection mandate substantially and in accordance with applicable international legal principles.

E-Puskesmas is a solution to problems caused by manual systems. It was created to streamline the method of reporting data to the Health Office and digitize the process of providing health services to the community at the Puskesmas. In addition, the online reporting system facilitates the dissemination of information effectively and efficiently. This study aims to determine the impact of using E-Puskesmas in improving the effectiveness of health services at the Pancur Community Health Center in Tanjungpinang City. The research method used is descriptive research with a qualitative approach conducted through observation, interviews, and documentation. The results of the study indicate that the implementation of E-Puskesmas has brought significant improvements in managing patient data, appointment scheduling, and reporting processes to the Health Office. Health workers find the system beneficial for storing accurate data, reducing paperwork, and enabling faster coordination with other health facilities. However, the use of the system is still hampered by unstable or slow internet or Wi-Fi networks, which often delay data input and retrieval during busy operational hours. This issue not only reduces efficiency but also causes frustration among staff who rely on the system for daily activities. The conclusion of this study highlights that the use of E-Puskesmas is effective in supporting digital health services but remains suboptimal due to technical challenges. Improving internet connectivity is critical to ensuring seamless operation and maximizing the benefits of the system. The study recommends that the local government and relevant stakeholders enhance the quality of network infrastructure and provide regular technical support and training for Puskesmas staff. By addressing these challenges, the Pancur Community Health Center can improve the stability of its operations and ensure that the E-Puskesmas application delivers optimal results in supporting high-quality, efficient, and technology-driven health services for the community.

This article aims to examine the role of leadership in mass media management through a case study of a private broadcasting institution in Indonesia. The focus of the research is on how leadership styles influence organizational performance, editorial decision-making, and operational effectiveness. A qualitative approach was employed, using in-depth interviews, participatory observation, and document analysis on a national private broadcasting institution. The findings reveal that visionary, communicative, and adaptive leadership plays a crucial role in fostering synergy across departments and enhancing responsiveness to the dynamics of the media industry. These results highlight the significance of strategic leadership in maintaining the sustainability and credibility of private broadcasting institutions amid the challenges of digitalization and increasingly competitive markets.

This thesis presents a conceptual analysis of the utilization of Unmanned Surface Vehicle (USV) technology to support the Indonesian Navy (TNI AL) in maintaining maritime security within the ALKI II (Indonesian Archipelagic Sea Lane II) region, in order to enhance operational efficiency and effectiveness. USVs are surface vessels that operate autonomously or are remotely controlled without onboard human presence. These vehicles can be operated from land-based control stations or from other vessels. The main research question addressed in this study is how the development and application of USV technology can support the Indonesian Navy’s mission in safeguarding maritime security within the ALKI II corridor. This study considers USVs as a surveillance asset, representing a technological advancement that can significantly enhance the Navy’s surveillance and monitoring capabilities. It is expected that the implementation of USVs will contribute to improved efficiency in securing and supervising ALKI II, while also promoting effective coordination among relevant stakeholders. Ultimately, the presence of USVs may help to reduce and prevent unlawful activities in the ALKI II waters. This research employs a qualitative methodology. The findings indicate that the use of USVs enhances both operational effectiveness and efficiency, thereby supporting the Indonesian Navy’s mission to secure the ALKI II region. This study aims to provide strategic recommendations to the Indonesian Navy regarding the development and integration of USV technology. It is anticipated that such measures will serve as a significant step toward reinforcing maritime security in the ALKI II corridor.

Tarakan City, as the largest city in North Kalimantan Province, plays a strategic role as a center for economics, trade, and tourism. Good accessibility through its international airport and seaport makes Tarakan a major gateway to various destinations in North Kalimantan. This potential is supported by its rich natural resources and cultural heritage, as well as its position as a distribution hub for goods and services. However, the development of the tourism sector remains hampered by the limited availability of premium accommodation facilities that meet international standards, particularly for domestic and international tourists, as well as business travelers. This final project proposes the design of a four-star hotel in Tarakan City as a solution to increase the attractiveness and competitiveness of the tourism sector. The concept used is Neo-Vernacular Architecture, a design approach that combines traditional architectural values with modern needs and technology. This concept aims to maintain local identity, enrich the building's aesthetic qualities, and create comfortable spaces suited to the local tropical climate. During the design process, a thorough analysis of site conditions, climate characteristics, local cultural potential, and four-star hotel operational standards was conducted. The traditional architecture of the Baloy Mayo traditional house served as the primary inspiration, both in terms of form, decorative elements, and spatial philosophy, resulting in a design that is contextual and representative of Tidung culture as one of Tarakan's identities. The resulting design is expected to provide quality accommodation facilities that not only support the needs of tourists and business people, but also become a modern architectural icon that respects and preserves local culture. The presence of this hotel is expected to contribute to the development of the tourism industry and strengthen the image of Tarakan City as a leading destination in North Kalimantan.

The correctional facility SAE L’SIMA in Malang is confronted with two major challenges: the environmental impact of accumulated cow manure and the need to provide meaningful vocational training for inmates to support rehabilitation and reintegration. This community service program was designed to address both issues simultaneously through the introduction and application of biogas technology. The primary objective was to manage livestock waste as an alternative renewable energy source while equipping inmates with practical technical skills applicable beyond the correctional setting. The implementation method employed a participatory approach that involved several stages, including program socialization, site survey, biogas unit design, assembly of a small-scale digester, and subsequent monitoring and evaluation.The results demonstrated that the biogas unit was successfully constructed and operational; however, gas production levels remained below optimal standards. Key challenges identified included unstable temperature conditions, which negatively affected the fermentation process, and technical problems such as leakage in the piping system. These obstacles limited the overall effectiveness of gas generation. Despite these limitations, the project provided significant outcomes. First, it created a working model of sustainable energy generation within the correctional environment. Second, it delivered valuable vocational training for inmates, offering them both theoretical knowledge and hands-on experience in renewable energy technology. Furthermore, the program encouraged inmate participation, fostering teamwork, responsibility, and problem-solving skills that are essential for personal development.In conclusion, although technical barriers remain, this initiative succeeded in establishing the foundation for sustainable waste management and renewable energy application within a correctional facility. More importantly, it highlights the potential of biogas technology not only as an environmental solution but also as a rehabilitative vocational training tool. Continued monitoring, process optimization, and technical refinements are essential for achieving long-term success and scalability of this model in similar institutional contexts.

Carbon emissions in Indonesia continue to increase in line with the growing energy consumption needed to meet public demands. Energy sector companies, which contribute significantly to carbon emissions, are expected to take responsibility for their operational activities. One form of accountability is through carbon emission disclosure as a means of transparency to stakeholders. This study aims to examine the impact of institutional ownership, managerial ownership, and foreign ownership on carbon emission disclosure. The research objects are energy sector companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2023 period. The study utilizes secondary data derived from annual reports, with a sample of 35 companies and 95 observations in total. Hypothesis testing was conducted using the t-test. The results indicate that institutional ownership and foreign ownership have a positive effect on carbon emission disclosure, while managerial ownership has a negative effect on carbon emission disclosure.

This study aims to measure the understanding of STIEPAR Yapari students regarding the training material on the importance of cleanliness in the cooking process. This training is given as part of strengthening student competencies in the field of tourism and hospitality, especially in the aspect of food sanitation. The method used was a quantitative survey with the distribution of questionnaires to the training participants. The results of the study showed that most students have a good level of understanding of hygiene materials, including the importance of washing hands, maintaining cooking utensils, and managing foodstuffs hygienically. These findings confirm that the training is effective in raising awareness of the importance of cleanliness as part of operational standards in the culinary and hospitality industry. This understanding also supports the creation of safe and quality food services. It is hoped that similar training can be carried out on an ongoing basis to strengthen student professionalism.

Pending inpatient BPJS Health claims pose a financial and operational challenge for hospitals. At RSUD Dr. Harjono S Ponorogo, 228 pending claims were identified in November 2024 out of 1,335 total claims. This issue was caused by incomplete supporting documents, coding errors, and non-specific medical diagnoses and procedures. This study used a descriptive qualitative approach through observation and interviews. The sample consisted of four claims officers and 228 inpatient pending claim files. The sampling technique used was purposive sampling. Data were analyzed through data reduction, presentation, and conclusion drawing. The study revealed several contributing factors: (1) Man lack of accuracy and training among staff; (2) Method suboptimal claim procedures; (3) Material incomplete supporting documents; (4) Machine information system disruptions; and (5) Money delayed claim payments. The primary causes of pending inpatient claims are incomplete medical documentation and inaccurate coding. Improvements are needed in staff training, claim procedures, and system integration between hospitals and BPJS Health.

The Ripple Mill machine is one of the vital components in a Palm Oil Mill (PKS) that functions to separate the palm kernel from its shell. This process is very important because the quality and quantity of the palm kernel produced will directly affect the economic value and production efficiency in the palm oil industry. At PTPN IV Regional II Plantation Unit and Adolina PKS, various technical problems were found that caused a decrease in machine performance, including rotor bars and square bars that experienced wear due to age and improper machine settings. In addition, other damage that often occurs is a broken van belt due to age and excessive tension, feeder motor dysfunction caused by excessive load, and motor overheating that occurs due to age and high workload. To overcome these problems, this study uses the Failure Mode and Effect Analysis (FMEA) method. This method aims to identify various potential failures, assess the severity, frequency of occurrence, and detection capability, so that the Risk Priority Number (RPN) value can be calculated as a basis for repair priorities. The results showed that worn rotor bars and worn square bars had the highest RPN values, each at 280, equivalent to 40.23% of the total identified risks. This indicates that these two components are critical points requiring immediate repair and maintenance attention. Applying FMEA in this context provides tangible benefits, including helping the company formulate a more targeted maintenance strategy, reducing the risk of recurring damage, and minimizing downtime that impacts production. With more systematic maintenance, operational efficiency can be improved while extending the lifespan of the Ripple Mill machine.

This research aims to examine the management process of qurbani implementation in Ma’had Al-Zaytun, an educational institution known for its comprehensive approach to character building and spiritual development. The implementation of qurbani at this institution covers several management functions, including planning, organizing, implementing, and evaluating. The study employs a qualitative approach using a case study method, with data collected through direct observation, in-depth interviews with those involved in qurbani management, and analysis of supporting documents. The findings indicate that the qurbani management process in Ma’had Al-Zaytun is well-organized and systematically executed, upholding Islamic legal principles and promoting values of social solidarity. Effective planning, from selecting appropriate sacrificial animals to determining the slaughter time and location, as well as the meat distribution process, is crucial to the program’s success. The involvement of committees, students, and teachers fosters operational efficiency. However, the study highlights challenges such as coordination issues and distribution management. To address these, it recommends improving training, supervision, and management information systems.

This research was conducted at PTPN IV Regional II Adolina Palm Oil Plantation and Mill Unit with the aim of evaluating the effect of Ripple Mill machine efficiency on palm kernel impurity levels through a multiple linear regression analysis approach. Ripple Mill is a vital piece of equipment in the palm kernel cracking process, which plays a role in determining the quality of the palm kernel. This machine works by breaking the kernels to produce kernels that are separated from the shells. However, when machine efficiency decreases due to technical and operational factors, palm kernel impurity levels tend to increase, characterized by an increase in shell fragments, fibers, and other foreign materials. This condition can have an impact on decreasing product quality and increasing further processing costs. Data collection was carried out over five days of observations covering the variables of machine efficiency and kernel impurity levels obtained from production results. The study found a strong negative correlation between machine efficiency and impurity levels in palm kernels. This means that the higher the efficiency of the Ripple Mill, the lower the resulting palm kernel impurity levels. This finding also confirms that quality control in the production process is not only determined by raw material factors but also highly dependent on the performance of the processing machine. Furthermore, the research results demonstrate the importance of implementing preventive maintenance strategies, including regular inspections of the rotor bar, square bar, and drive motor, as well as regulating operating parameters such as rotational speed and machine load. Proper preventive maintenance and operational control are essential to sustain machine efficiency and product quality. Therefore, continuous improvement in technical and managerial aspects is essential to maintain palm kernel quality and support optimal palm oil mill productivity.

This study was conducted to analyze the effect of suction power effectiveness on cyclones in Light Tenera Dust Separator (LTDS) 1 and 2 units on the level of palm kernel losses at PTPN IV Regional II Plantation Unit and Adolina Palm Oil Mill (POM). Palm kernel loss is a significant factor that can reduce production efficiency, as palm kernel has high economic value and is the main product in the palm oil industry. Kernel losses not only reduce production efficiency but also create significant economic disadvantages for the palm oil mill. The research method used was a gravimetric method with a field experiment approach. The research process included sampling from LTDS waste, separating kernels from shells, and measuring suction speed using an anemometer to determine cyclone performance. The gravimetric method was applied to quantify the proportion of kernel mixed with shell waste, providing measurable data on suction efficiency. The results showed that low suction power effectiveness was directly proportional to the increasing number of kernels that were thrown away with the shells. In other words, poor suction performance directly correlates with higher kernel losses. The main contributing factors include leaks in the cyclone, suboptimal blower settings, and inadequate operator skills. Operational skills and equipment maintenance were identified as crucial determinants of system performance. Based on these findings, improvements to the suction system are recommended through routine maintenance, leak checks, and blower setting calibration. Furthermore, operator training is required to precisely adjust suction power. By maintaining suction effectiveness and optimizing blower settings, kernel losses can be reduced below the standard threshold of 2.0%. Thus, mills can improve operational efficiency while minimizing economic losses due to palm kernel loss.  

Background: The rapid advancement of digital technologies in the Industry 4.0 era has transformed industrial mechanical systems into highly interconnected and data driven environments through the integration of sensors, the Internet of Things (IoT), data analytics, and cyber physical systems. This increasing complexity requires more adaptive and accurate monitoring and prediction methods than conventional simulation approaches, which often face limitations in capturing real time dynamic system behavior. Objective: This study aims to develop a predictive performance model for industrial mechanical systems by integrating Digital Twin technology with Physics Informed Machine Learning in order to improve monitoring accuracy and support predictive maintenance strategies. Methods: This research adopts a data driven modeling and simulation approach by developing a digital representation of an industrial mechanical system that is connected to real time sensor data. The prediction model is constructed using a Physics Informed Neural Network (PINN), which integrates operational data with physical principles governing system dynamics. The research process includes the development of a Digital Twin model, integration of sensor data, training of the PINN model, model validation using experimental data, and evaluation of prediction performance using statistical metrics. Results: The results indicate that the integration of Digital Twin technology and PINN significantly improves the prediction accuracy of industrial mechanical system performance compared with conventional simulation methods and purely data driven machine learning models. The proposed model is capable of representing system dynamics more consistently, accurately following sensor data patterns, and providing strong potential for supporting machine condition monitoring and predictive maintenance strategies in modern industrial environments.

  Medical records are a critical element in health services at the Mazaya Clinic. Field observations revealed that the clinic does not yet have a medical record folder; Patient documents are only stapled sheets without classification or physical protection. This condition poses risks of document damage, data loss, privacy violations, and operational inefficiency, with search times reaching 12 minutes—far from the standards of the Ministry of Health Regulation No. 24/2022. This study aims to design an integrated medical record folder by optimizing three aspects: (1) anatomical structure, (2) physical material, and (3) content completeness.This research used the Borg & Gall Research and Development (R&D) model through four stages: Define, Design, Development, and Dissemination. The prototype was made using 310 gsm art carton laminated with matte finishing. The design was validated by experts and evaluated through field testing at the clinic. The results showed the folder increased document protection (80% moisture resistance), reduced search time by 75% (from 12 to 3 minutes), and improved data accuracy by reducing input errors by 25%. The study concludes that this folder design is a practical solution for supporting clinical accreditation, patient safety, and cost efficiency. Recommendations include technical training for staff, digital system synchronization, and data backup strategies.