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The COVID-19 pandemic has had a major impact on the sustainability of Micro, Small, and Medium Enterprises (MSMEs), including those in Lapadde Subdistrict, Parepare City. This study aims to identify the recovery strategies implemented by MSME actors during the 2022–2025 period, as well as the factors that support and hinder the recovery process. The research employed a descriptive qualitative method, with the study conducted in Lapadde Subdistrict on December 1, 2025. The sample consisted of five MSME actors selected through purposive sampling. Data were collected through interviews, observations, and documentation, and were then analyzed using data reduction, data presentation, and conclusion drawing techniques. The findings indicate that MSME actors have implemented recovery strategies such as product diversification, utilization of digital media, and cost efficiency, supported by local government programs. The main obstacles include limited capital and low digital literacy. Overall, MSME recovery is progressing positively but still requires continuous assistance and more equitable access to information to ensure sustainability.

Non-Cash Food Assistance (BPNT) is a government assistance program aimed at poor or underprivileged communities, distributed monthly through electronic accounts and used specifically to purchase basic necessities at designated E-Warong stores. However, in reality, the implementation of the BPNT program in the field still faces comprehensive challenges, such as issues related to targeting inaccuracy and the quality of food obtained by KPM not always meeting standards. The purpose of this study is to explore the evaluation of the Non-Cash Food Assistance (BPNT) program policy through a Systematic Literature Review (SLR) approach, so that researchers can trace various empirical findings regarding the implementation of the Non-Cash Food Assistance program policy in several regions. The policy evaluation model used is William N Dunn's model, which includes six indicators, namely effectiveness, efficiency, adequacy, equity, responsiveness, and accuracy. The results of this study are expected to provide a comprehensive and in-depth picture of the phenomenon being studied in an objective and systematic manner, and can be used as a reference for government agencies in evaluating and optimizing the implementation of the BPNT program policy so that it becomes a more effective and sustainable social assistance program.

This research investigates the development of IT-based Automatic Identification System (AIS) data surveillance models supporting maritime safety through integration of advanced information technology, maritime engineering principles, and human factors optimization. AIS technology generates vast real-time vessel movement data creating unprecedented opportunities for safety enhancement through systematic surveillance, collision risk detection, traffic pattern analysis, and incident prevention, yet effectiveness depends critically on intelligent data processing algorithms, reliable IT infrastructure, and competent personnel capable of interpreting surveillance outputs and taking appropriate actions. Through qualitative analysis involving maritime safety authorities, vessel traffic service (VTS) operators, port authorities, marine engineers, IT specialists, data scientists, and maritime training institutions, this study examines how IT-based surveillance models incorporating pattern recognition, anomaly detection, predictive analytics, and crew-centered interfaces can transform maritime safety management from reactive incident response toward proactive risk prevention. Results demonstrate that intelligent AIS surveillance can identify 75-90% of high-risk situations 15-45 minutes before critical events, reduce collision risks by 60-80%, improve traffic management efficiency by 35-55%, and enhance crew situational awareness by 45-65% when integrated with appropriate training programs developing personnel competencies in data interpretation, system operation, and coordinated response. Key implementation challenges include data quality and completeness issues, computational infrastructure requirements, algorithm development complexity, personnel competency gaps requiring substantial training investments, organizational coordination barriers, and privacy/security concerns. Findings reveal that successful AIS surveillance implementation requires holistic sociotechnical approaches integrating IT systems engineering, maritime domain expertise, and human capability development through coordinated design, deployment, and training strategies. This research contributes to maritime safety literature by providing integrated frameworks for IT-based surveillance systems incorporating technical capabilities, operational requirements, and human factors supporting evidence-based safety management.

Traditional snack micro, small, and medium enterprises (MSMEs) in Indonesia face increasing market competition and rapidly changing consumer preferences, particularly among younger consumers seeking innovative and symbolic food experiences. This community engagement study aims to strengthen the profitability and sustainability of traditional snack MSMEs by integrating local flavor innovation with simple business governance practices. Using a participatory action research approach under the Merdeka Belajar Kampus Merdeka (MBKM) program in Palangka Raya, this study involved co-creation between students and local entrepreneurs in product development, production standardization, and basic financial management. Qualitative data were collected through participatory observation and stakeholder discussions, while quantitative data were obtained from sales records and simple financial reports. The results demonstrate that local flavor-based innovation, combined with standardized operating procedures and cost control mechanisms, improved product differentiation, operational efficiency, and financial performance. The intervention generated a positive net profit and strengthened the partner’s capacity for independent business management. This study contributes to the literature by positioning traditional food MSMEs as sites of cultural innovation and micro-governance, while supporting Sustainable Development Goals related to inclusive economic growth, cultural preservation, and responsible production.

This internship program was carried out at PT Sunningdale Tech Batam with a focus on assisting and analyzing the material procurement process from both local and international suppliers, which has been affected by various challenges such as resin import quota regulations, slow customs clearance processes, and external disruptions including extreme weather and geopolitical conflicts. Through direct observation, interviews, and the collection of procurement administrative documents, this activity successfully mapped the entire procurement flow and identified key obstacles that cause material delays. The output produced is an official procurement flowchart that was then implemented across three departments, demonstrating improved process effectiveness through reduced lead time for local materials from 7–9 days to 6–8 days and for imported materials from 21–25 days to 18–22 days, along with fewer documentation errors and increased staff understanding of procedural workflows. Overall, this internship activity provides a significant contribution to the company by enhancing procurement efficiency, strengthening cross-departmental coordination, and improving supply chain resilience against external risks.

This study examines the use of digital Qur’an applications at Pondok Pesantren Al-Asy‘ariyyah Kalibeber by focusing on the relationship between technological practicality and the preservation of the printed mushaf. Employing a qualitative method with a descriptive-analytical approach, data were collected through observation, in-depth interviews, and documentation involving pesantren leaders, teachers, active students, and senior students. The findings reveal that the digital Qur’an is accepted as a supporting learning medium due to its practicality and efficiency, particularly for students with sufficient digital literacy. However, the printed mushaf remains the primary reference in Qur’anic learning as a form of respect for its sacred value, the pesantren’s scholarly tradition, and the limited digital literacy among senior students and teachers. This study demonstrates that the utilization of the digital Qur’an in the pesantren context is selective and contextual, serving as a complementary tool rather than a replacement for the mushaf. These findings indicate that pesantren are capable of responding to technological developments in a balanced and tradition-oriented manner.

Badan Perencanaan Pembangunan Riset dan Inovasi Daerah Probolinggo City utilizes the Regional Asset Information Sistem (SIASAD) to record and report Regional Property (BMD) in real time. However, there is a discrepancy between the percentage of Regional Government Financial Reports (LKPD) that comply with regulations, which is 100%, and the percentage of BMD data validity, which fluctuates between 86.21% in 2021 and 82.14% in 2024, indicating that the system is not optimal and there is inconsistency in BMD data. This study aims to evaluate the implementation of SIASAD in BMD management at BAPPERIDA Probolinggo City, based on the principles of Good Governance. The research method applied is qualitative with a case study approach involving data collection techniques such as interviews, observations, and document studies. The results of the study reveal that SIASAD supports the application of Good Governance through the principles of participation, consensus orientation, accountability, transparency, responsiveness, effectiveness and efficiency, fairness and inclusiveness, and compliance with the law. From this study, it can be concluded that the implementation of SIASAD contributes significantly to transparent and accountable BMD governance in accordance with the principles of Good Governance, although improvements are still needed in terms of public accessibility.

Cryptocurrency has become a rapidly developing digital asset class that attracts widespread investor interest due to its decentralized, anonymous, and highly volatile nature. Such volatility creates uncertainty in market movements, making it important to understand the factors that drive fluctuations in returns. This research aims to examine how fundamental indicators namely price, trading volume, and market capitalization affect return volatility, as well as to determine which cryptocurrency demonstrates the highest market efficiency based on risk assessment. The study uses panel data covering the five largest cryptocurrencies by market capitalization (Bitcoin, Ethereum, Tether, USD Coin, and Binance Coin) over the period 2019–2023. The analytical methods applied include panel data regression to identify the determinants of volatility and Value at Risk (VaR) to measure asset risk and efficiency. The findings show that price and trading volume positively and significantly increase return volatility, whereas market capitalization exerts a negative and significant effect, indicating its stabilizing role. Based on VaR analysis, Binance Coin (BNB) emerges as the asset with the highest market efficiency. The study concludes that fundamental indicators play a crucial role in shaping volatility and that BNB offers relatively better risk performance compared to its peers.

The shift in economic structure from a reliance on traditional agriculture to modern industrialization has yielded various competitive advantages for a region. The presence of leading sectors at the local level is a strong indicator of increased added value and high productivity, fueled by a healthy competitive climate among business actors. This phenomenon is closely related to the characteristics of the industrial sector, which possesses very strong forward and backward linkages, making it a primary driver of national economic growth. Progress in the manufacturing sector is not merely a measure of economic success but also serves as a driver of fiscal stability through massive employment absorption and increased foreign exchange earnings. Industrial growth is considered highly strategic because it holds significant potential for future expansion through technological innovation and production efficiency. This condition makes industrial cluster development an instrument for driving sustainable economic growth in Indonesia, while simultaneously strengthening the competitiveness of local products in the global market through the integration of a more organized production system.

This study analyzes the competitive advantage of sharia gold investment at Pegadaian Syariah, Blauran Branch, Surabaya, amidst competition from Bank Syariah Indonesia and sharia fintech. Using a descriptive qualitative approach, primary data was obtained through semi-structured interviews with Branch Managers, marketing staff, and customers, while secondary data came from Pegadaian reports, OJK publications, and the World Gold Council. The analysis employed the SWOT framework and Porter's Five Forces. The results show that Pegadaian Syariah's competitive advantage stems from public trust in its state-owned enterprise (BUMN) status, compliance with sharia principles, certified Galeri24 products, and product flexibility starting from IDR 10,000 supported by the PSDS digital platform. There is a significant opportunity from the 135% year-on-year surge in gold demand, but it faces the threat of intense competition and high buyer bargaining power. Competitive advantage strategies are implemented through digital service differentiation, an inclusive market focus, and cost efficiency. The study recommends intensifying PSDS education, strengthening gold investment literacy, and optimizing pricing to increase competitiveness.

This research aims to compare modern international trade theories from conventional and Islamic economic perspectives. The technique used is a literature review through the analysis of sources from journals, books, and related research. The findings of this research indicate that international trade theory in the conventional perspective prioritizes efficiency, specialization, and increased profits through free market mechanisms, such as the theory of absolute advantage, comparative advantage, the H-O factor proportion, and the theory of large-scale economies. However, this approach often overlooks moral aspects, distributional justice, and the risk of exploitation. On the other hand, the Islamic perspective views trade as a muamalah activity based on justice, trustworthiness (amanah), the prohibition of riba (interest), gharar (uncertainty), and maisir (gambling), as well as the objectives of maqasid sharia (the objectives of Sharia). Both views recognize the importance of trade for economic growth but differ in their basic values and ethics. In today's era of globalization and digitalization, the importance of integrating Islamic values into international trade is increasingly understood. This aims to build a more just, sustainable, and inclusive trading system. This research emphasizes the need to apply Sharia principles in contemporary trade practices, including the application of Islamic financial instruments, the development of halal e-commerce platforms, and ethical oversight within global supply chains. In this way, it is hoped that international trade can provide broader benefits to all of humanity, in accordance with the principles of justice and welfare in Islam. The interconnectedness of both approaches in the digital context demonstrates the need to unite Islamic moral values with changes in today's global trade.

Waste management has become a critical issue in achieving sustainable development, particularly in urban areas such as Medan City, where the volume of waste continues to increase each year. This study aims to analyze the optimization of economically valuable waste utilization through recycling activities to support the Sustainable Development Goals (SDGs), using a literature-based approach. The method employed is a literature review by collecting, examining, and comparing previous research from national and international journals related to recycling practices, circular economy principles, and urban waste management. The findings indicate that the utilization of economically valuable waste—such as plastic, paper, metal, and organic materials—can generate economic benefits for communities while improving overall waste management efficiency. The reviewed studies also highlight several key factors influencing recycling success, including government policies, the availability of recycling facilities, public awareness, and collaboration with recycling industries. Optimizing waste utilization has been shown to contribute significantly to various SDGs targets, including waste reduction, improved community welfare, and environmental protection. Therefore, strengthening the recycling ecosystem through multi-stakeholder collaboration is essential for Medan City in promoting sustainable urban development.

Odoo training at PT Tamaddun Inti Perkasa aims to improve existing business processes within the company through process integration, data transparency, and operational efficiency. Odoo implementation can improve the Company's operational efficiency and also increase HR capacity through mentoring and training to acquire digital skills relevant to the development of Industry 4.0. The training was conducted through participatory practices to improve digital skills through real company data. The training stages included identifying company problems, general socialization of Odoo usage, training, mentoring, evaluation, and feedback. The training participants consisted of 9 people from several departments and was held on December 8, 2025. A pre-training questionnaire proved that the company's employees are aware of the importance of integrated data management. This training activity successfully improved digital competency through the use of Odoo and respondents agreed that using Odoo can help simplify their work. The use of a flexible integrated system according to company needs such as Odoo is one solution. The use of six modules: Manufacturing, Inventory, Sales, Purchasing, Accounting, and Point of Sales (POS) is considered very important and must be understood by the company as a starting point for further development.

This study aims to determine the impact of Financial Technology (Fintech) and digital banking on the overall performance of conventional banking institutions in Indonesia. This research employs a qualitative approach using a comprehensive literature review as its primary method. Data analysis in this study was conducted through an extensive review of various sources, including books, peer-reviewed journal articles, research reports, official websites, newspapers, and magazines, to obtain a holistic understanding of the topic. The results of this study indicate that both Fintech and digital banking significantly affect the performance of conventional banks in Indonesia. Specifically, the effect of Fintech on conventional banking is reflected in a decrease in traditional banking profitability, because Fintech platforms provide alternative channels and competition in credit distribution and financial services. Meanwhile, the effect of digital banking on conventional banking includes improvements in operational efficiency, wider service accessibility for customers, and noticeable changes in customer behavior and expectations. These findings suggest that conventional banks must adapt strategically to remain competitive in the evolving financial ecosystem.

This study analyzes and designs a dual-role web-based ordering information system to optimize order management at Sunrise Bakery. This SME currently faces inefficiencies due to manual recording. The system, developed using the SDLC Waterfall method with PHP and MySQL, serves two main actors: customers, who can order online, browse catalogs, track orders, and pay digitally; and administrators (admin, cashier, owner), who manage products, update stock, input in-store orders, generate daily/monthly sales reports, and manage user access. Black Box Testing confirms all core functions work correctly. The system successfully addresses manual process shortcomings by improving data accuracy and providing real-time monitoring for both customers and management. It offers a comprehensive digital solution to enhance operational efficiency and service quality. Limitations include the lack of integrated digital payment gateways and external messaging. Future development should incorporate payment gateways (e.g., OVO, GoPay), WhatsApp notifications, a mobile application, and predictive analytics for sales and stock forecasting.

This study aims to examine the effect of employee competence, behavioral control, and trust on employee performance at the Bojonegoro District Health Office with Organizational Citizenship Behavior (OCB) as an intervening variable. The background of this study is related to the importance of employee performance in achieving public service organizational goals, particularly in the health sector. This study uses an explanatory quantitative method with a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The research sample consisted of 100 employees at the Bojonegoro District Health Office. The results of the analysis show that the influence of employee competence on employee performance is not significant, but employee competence has a significant influence on OCB. Behavioral control has a significant effect on employee performance, but its effect on OCB is not significant. Trust has a significant effect on OCB, but its direct effect on employee performance does not. OCB is proven to have a significant effect on employee performance. Therefore, OCB plays an important role as a mediator in improving employee performance. This study provides a theoretical contribution by clarifying the relationship between variables in the context of public service-based government organizations. In practical terms, the results of this study are expected to form the basis for recommendations to improve the quality of human resources and develop managerial strategies at the Bojonegoro District Health Office in order to support the effectiveness and efficiency of public services.

Engine performance is a critical parameter in automotive engineering as it directly affects power output, torque characteristics, and overall vehicle efficiency. One of the components that significantly influences engine performance is the exhaust system, which regulates exhaust gas flow and back pressure. This study aims to experimentally analyze the effect of replacing a standard exhaust system with an aftermarket exhaust system on the performance of a 2NR-VE engine. The research employed an experimental method using a comparative design with two testing conditions: a factory-standard exhaust system and an aftermarket exhaust system. Engine performance testing was conducted using a dynamometer (dyno test) to measure horsepower and torque across various engine speed ranges (RPM). Each testing condition was performed repeatedly, and the resulting data were averaged to reduce measurement errors and minimize the influence of operational fluctuations. The experimental results indicate that the aftermarket exhaust system significantly improves engine performance. The maximum power increased from 82.5 HP to 91.6 HP, while the maximum torque rose from 131.2 Nm to 154.4 Nm. These improvements suggest that the aftermarket exhaust configuration effectively reduces exhaust back pressure and enhances exhaust gas flow efficiency. Therefore, replacing the exhaust system can be considered an effective approach to improving engine performance, provided that the modification is technically appropriate and complies with applicable emission and noise regulations.

This study aims to examine and analyze the effect of capital structure and fixed asset turnover on return on assets (ROA) at PT Argo Pantes Tbk during the period 2013–2022. The research employs a quantitative method with a statistical analysis approach, using secondary data obtained from the company’s financial statements. The data analysis techniques include classical assumption tests, namely normality, multicollinearity, heteroscedasticity, and autocorrelation tests, followed by multiple linear regression analysis. Hypothesis testing is conducted through the coefficient of determination, partial statistical testing (t-test), and simultaneous statistical testing (F-test). The results indicate that capital structure has a significant effect on return on assets. This is evidenced by a t-value of 2.986, which is greater than the t-table value of 2.36462, and a significance level of 0.020, which is lower than 0.05. These findings suggest that an optimal capital structure plays an important role in improving the company’s profitability performance. Therefore, capital structure management should be considered a strategic factor by management in enhancing financial efficiency and overall corporate performance.

This study aims to develop a web-based inventory information system to facilitate inventory data management and improve operational efficiency at Toko Anugerah Sticker. Currently, inventory management is still performed manually using paper, which complicates monitoring stock, recording incoming and outgoing items, and preparing reports accurately and promptly. To address these issues, the system was developed using the Waterfall method, consisting of five stages: requirement, design, implementation, verification, and maintenance. PHP was employed as the programming language for system development, while MySQL served as the database for storing inventory data. The system was tested using Blackbox testing to unsure that each function worked as expected. The result show that the web-based inventory information system successfully replaced the manual process, making inventory management more effective and efficient. It also enables real-time stock monitoring and generates reports faster and more accurately. The implementation of this system is expected to improve the quality of inventory data management at Toko Anugerah Sticker in the future.

This research aims to test and analyze the influence of tax administration modernization, tax knowledge, tax socialization, and tax sanctions on the compliance of individual taxpayers registered at the Primary Tax Office (KPP Pratama) Atambua. This study is a quantitative research employing a descriptive approach method. The data collection technique used in this research involves distributing questionnaires via Google Form. The sampling method applied is random sampling, with a sample size of 100 individual taxpayers. The analysis method utilized is multiple linear regression analysis. The research results indicate that all four independent variables have a positive and significant influence on individual taxpayer compliance (WPOP), both partially and simultaneously. Modernization enhances compliance through the efficiency of electronic systems such as e-Filing. Knowledge strengthens reporting accuracy with a better understanding of procedures. Socialization builds motivation through easily accessible information via digital and print media. Sanctions create a deterrent effect through awareness of fines and penalties.