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This study aims to analyze the development strategy of vannamei shrimp (Litopenaeus vannamei) cultivation business in the intensive pond system at CV Jaya Tirta Vannamei, Probolinggo, East Java. The research applied a qualitative descriptive approach combined with SWOT analysis to evaluate both internal and external factors affecting the business. Data were obtained through observation, interviews, and documentation, then processed to generate alternative development strategies. The results show that CV Jaya Tirta Vannamei possesses strong internal resources such as experienced human resources, reliable production facilities, and good management capabilities. Externally, the company benefits from the rising demand for vannamei shrimp in domestic and global markets, the availability of modern aquaculture technology, and supportive government policies. Nevertheless, some challenges exist, including fluctuating shrimp prices, vulnerability to disease outbreaks, and relatively high operational costs, which may influence business continuity if not addressed effectively. Based on the SWOT analysis, the most appropriate development strategy is the S-O (Strengths–Opportunities) strategy, with an alternative strategy score of 3.72. The recommended strategies are: (1) increasing shrimp production through the adoption of advanced and sustainable cultivation technology, (2) developing and maintaining a reliable water quality management system to enhance productivity, (3) utilizing skilled human resources to strengthen innovation in cultivation techniques, and (4) ensuring the availability of sufficient and quality feed to support continuous production growth. In conclusion, implementing the S-O strategy provides an effective pathway for CV Jaya Tirta Vannamei to optimize its internal strengths in response to external opportunities. By improving technology application, strengthening resource utilization, and enhancing production management, the company can secure competitive advantage, increase productivity, and ensure long-term sustainability in the rapidly growing aquaculture industry.

The rapid development of the pharmaceutical industry in Indonesia presents both an opportunity and a challenge in increasing company value amidst the dynamics of an increasingly digital and competitive capital market. This phenomenon demonstrates that strong operational performance does not always translate into high market value, making it crucial to identify internal factors that influence company value, particularly in the pharmaceutical subsector, which plays a strategic role in Indonesia.This research aims to analyze the effect of Working Capital Turnover, Cash Turnover, Liquidity, and Profit Growth on Company Value in pharmaceutical companies listed on the Indonesia Stock Exchange for the 2021-2024 period. The research method used was quantitative with an explanatory approach. The sampling technique used total sampling, with a sample size of 10 companies. Secondary data, in the form of financial statements, were analyzed using multiple linear regression analysis.The results indicate that only Cash Turnover significantly impacts company value, with a negative effect, while Working Capital Turnover, Liquidity, and Profit Growth do not. These findings suggest that efficient working capital management and consistent profit growth play a crucial role in increasing the value of pharmaceutical companies. This research is expected to be a reference for management in strategic decision making and for academics for further research.  

This study is motivated by the downstream Teh Walini industry’s reliance on third-party logistics (3PL) services for product distribution, which restricts the company’s control over several key aspects, including logistics costs, delivery speed, routing efficiency, and product handling quality. The primary objective of this research is to analyze and compare distribution costs between outsourced logistics and self-managed delivery, and to evaluate the potential cost efficiency of an independently operated shipping system. A descriptive comparative quantitative method is employed, incorporating movement generation analysis, distribution spread mapping, and Vehicle Operating Cost (VOC) calculations to estimate the cost implications of self-shipping. Data were obtained through company documentation and analyzed using multiple linear regression involving six major distribution points. The results reveal that shipment volume significantly influences movement generation, with Waingapu, Makassar, and Padang identified as the dominant distribution destinations. The cost comparison analysis demonstrates that self-managed delivery is more cost-effective than third-party logistics services, making it a more viable long-term option. These findings suggest that transitioning to a self-delivery system could improve cost control and logistical efficiency for the company. However, this strategy should be implemented gradually, supported by regular updates on operational cost data and proactive management of external factors that could impact distribution performance. The study concludes by recommending broader coverage and the inclusion of additional relevant variables in future research to further validate and enhance decision-making related to distribution strategies. A well-informed shift toward internal logistics could ultimately contribute to greater competitiveness and sustainability in the company’s distribution operations

Increasing business competition requires companies to consistently improve quality and operational efficiency. This study aims to identify and reduce non-value added activities in the procurement process at Distributor X, a company engaged in the distribution of instant cooking spices. Common issues include expired goods (49.05%), damaged packaging (18.78%), and product mismatches (32.17%). The Lean Six Sigma approach with the DMAIC (Define, Measure, Analyze, Improve, Control) method is used to address these problems. Measurement results show an average DPMO value of 10,076.58 and a sigma level of 3.82, which are still far below the Six Sigma quality standard. Improvement proposals include the implementation of barcode/RFID systems, FIFO inventory management, higher-quality packaging materials, and the use of unique product codes. In the Control phase, monitoring is carried out through an ERP system and the establishment of structured SOPs to support distribution oversight. This approach demonstrates potential in reducing defect rates and improving the overall quality of the procurement process.

This study aims to analyze the financial performance differences of Bank Syariah Indonesia before and after the merger based on three key ratios: Financing to Deposit Ratio (FDR), Operational Expenses to Operating Income (BOPO), and Return on Assets (ROA). A comparative quantitative approach was applied using financial statement data from the 2017–2024 period, analyzed with normality tests and paired sample t-tests. The normality test results indicate that all data are normally distributed. The paired sample t-test reveals no significant difference in the FDR ratio before and after the merger, while significant differences are found in BOPO and ROA. These findings indicate that the merger affected the efficiency and profitability of the bank, but not directly the effectiveness of fund distribution. The study implies that Bank Syariah Indonesia needs to strengthen operational efficiency and asset management post-merger. Future researchers are encouraged to include non-financial variables and apply qualitative approaches to gain more comprehensive insights.

This article discusses the importance of job analysis as a fundamental component of human resource management (HRM) within Islamic educational institutions in Indonesia. Using a qualitative approach based on a literature review, the study highlights the strategic role of job analysis in developing job descriptions, job specifications, and the professional development of human resources. Job analysis serves not only as an administrative tool but also contributes to institutional efficiency, the enhancement of educational quality, and the readiness of institutions to face global challenges and technological advancements. By systematically identifying and evaluating job roles and responsibilities, institutions can align their HR practices with organizational goals and the evolving demands of the educational sector. The application of analytical models such as the Position Analysis Questionnaire (PAQ), Functional Job Analysis (FJA), and the Job Characteristics Model ensures that job analysis is comprehensive and tailored to the specific needs of the institution. The article emphasizes that a results-oriented approach is more relevant for modern educational institutions, particularly those within Islamic settings. The findings indicate that the optimal implementation of job analysis can strengthen the governance of Islamic educational institutions, enhance their operational effectiveness, and improve the competitiveness of their human resources in the global education landscapes.

The Human Resources (HR) is a key element in carrying out organizational operational activities. Quality HR can provide the best service to customers. The quality and competence of employees can be influenced by effective industrial relations management. This study aims to analyze the needs of human resources and industrial relations management at RSUD Bandung Kiwari. The research method used is qualitative analysis with a descriptive approach. The results of the study show that the analysis of human resource needs and industrial relations management are interrelated. The analysis of human resource needs aims to determine the quantity, qualifications, and competencies needed by the organization, while industrial relations management aims to create a conducive and harmonious work environment. The administrative human resource needs are measured by workload analysis. Industrial relations management for administrative employees at RSUD Bandung Kiwari is already conducive and harmonious, in accordance with the provisions in the employment agreement.

The use of BRIMEN (BRI Document Management System) in digital document processing operations during internship activities at the Medan Regional Office of PT Bank Rakyat Indonesia (Persero) Tbk. is the main focus of this article. The objective of this study is to understand how the BRIMEN system contributes to the storage, retrieval, and classification of documents, particularly in relation to credit document management. This system was introduced to address common issues found in manual archiving, such as limited storage space, difficulties in document retrieval, and the risk of errors in preserving clients’ physical records. The research employed a descriptive qualitative approach through direct observation and active participation in daily workflows. The findings indicate that BRIMEN significantly improves operational efficiency by providing a more systematic and secure digitalization procedure for banking documents. The system not only reduces the risk of loss or damage to physical archives but also accelerates the process of data retrieval when required by work units. Through its classification and tracking features, BRIMEN ensures better consistency between digital data and physical documents, although several technical challenges remain, such as restricted access to storage rooms and difficulties in scanning older or non-standard documents. Overall, the results highlight the importance of implementing a well-structured digital document management system to support the smooth operation of modern banking institutions. BRIMEN represents a tangible step in BRI’s digital transformation, strengthening data security while simultaneously improving the quality of credit services delivered to customers. With continuous improvement, this system has the potential to serve as a model for digital document management that can be more widely adopted across Indonesia’s banking sector.

This research was conducted with the aim of optimizing the assignment of working hours in the Procurement Division of PT. Pelindo Multi Terminal through the application of the Hungarian method. The fundamental problem faced is the imbalance between the number of permanent workers and the high workload that must be completed, thus creating a risk of inefficiency in the operational process. To address this problem, a quantitative approach was used with linear programming modeling techniques designed to produce a more systematic and measurable assignment allocation. Through the analysis conducted, an optimal solution was obtained regarding the distribution of working hours, where the total working time can be reduced to 10,120 minutes per month, lower than the previously set maximum limit of 10,560 minutes per month. These results indicate that the application of the Hungarian method is not only able to reduce excessive workloads on some employees, but also ensures a more proportional distribution of assignments among all available workers. In addition, this method can increase operational effectiveness because each worker receives a load according to their capacity, so that the risk of fatigue or decreased performance can be minimized. The findings of this study confirm that the Hungarian method is an alternative work scheduling strategy that is efficient to be applied in industrial environments with high task complexity. Proper implementation can also support the achievement of overall company productivity, improve the quality of human resource management, and strengthen the company's competitiveness in facing future operational challenges.

This research explores the crucial role of cybersecurity in building and maintaining digital trust for e-business sustainability. The rapid digitalization era has increased business dependence on digital platforms but also brought cyber risks that can threaten customer trust and operational sustainability. This systematic literature review analyzes recent research (2021–2025) from various academic databases including Google Scholar, IEEE Xplore, ScienceDirect, Scopus, and ACM Digital Library. The research objectives are to identify the impact of cyber incidents on customer trust, analyze digital trust-building strategies, and formulate recommendations for e-business sustainability. Study results show that cyber incidents can reduce customer trust by up to 60% and cause average financial losses of $3 million per incident. However, implementing comprehensive cybersecurity strategies, communication transparency, and rapid recovery can restore trust and enhance business resilience. The research emphasizes the importance of a holistic approach that integrates security technology, risk management, and crisis communication to build a sustainable and trusted e-business ecosystem.

The operational department at PT. Baruna Mitra Segara Lines Bandar Lampung plays a crucial role in ensuring the timely departure of ships. This study examines how the department monitors ship departures to ensure they occur on time and follow established procedures. The research uses a qualitative case study approach, collecting data through observation and documentation. The findings show that active involvement from the operational department helps reduce technical and administrative issues that may delay departures. Improving human resources and operational systems is essential to guarantee smooth operations. The operational department is responsible for coordinating between departments, checking ship readiness, and monitoring schedules. The department's effectiveness significantly reduces delays and enhances customer satisfaction. The study also highlights that the accuracy of operational work impacts the efficiency, safety, and reliability of the shipping process. Strengthening the monitoring system and improving human resource quality are critical to optimizing the department’s role. However, challenges such as limited resources and outdated information systems need to be addressed to improve performance. This research aims to provide insights for PT. Baruna Mitra Segara Lines management to enhance the operational process of ship departures.

Efficient operations of PT PLN, as a vital electricity provider, heavily rely on effective service management, including customer data collection and payment processing. Employee performance supervision is crucial to ensure optimal results and customer satisfaction, given that traditional manual systems often suffer from inefficiencies, inaccuracies, and delays. This research aims to develop and implement a web-based performance monitoring system for electricity bill delivery officers to enhance operational efficiency and accountability at PT PLN. The Waterfall method was adopted as a systematic development framework, encompassing stages of requirements analysis, design using Unified Modeling Language (UML) such as use case diagrams and activity diagrams, implementation with PHP and MySQL, and black box testing to validate system functionality. The results of the black box testing indicate that all main functions of the system, including user authentication, user data management, uploading of daily reports and supporting files by officers, and the administrator's ability to monitor and review reports, function as expected. The successful implementation of this system indicates its capability to overcome the limitations of manual methods and provide real-time visibility into the performance of field officers. Thus, this web-based monitoring system not only contributes to improving data accuracy and operational efficiency at PT PLN but also supports more informative and strategic managerial decision-making, aligning with digital transformation initiatives in the energy sector

This study aims to analyze the influence of company characteristics, including Current Ratio, Debt to Asset Ratio, and Company Size, on Financial Performance. The population studied consists of companies in the F& B sector listed on the IDX during the period 2020-2024. The sample in this study was selected using the purposive sampling method. Out of the 24 companies listed in the sector, 3 companies were eliminated because they did not meet the established criteria, resulting in a final sample size of 21 companies. To test the influence of independent variables on the dependent variable, the multiple linear regression analysis technique was applied. The research results show that Company Size has a positive and significant effect on financial performance, while the Debt to Asset Ratio has a negative and significant effect on financial performance. On the other hand, the Current Ratio does not show a significant effect on financial performance. However, the Current Ratio does not appear to significantly affect financial performance. While it is a measure of liquidity, the results of this study suggest that liquidity alone does not guarantee profitability or financial success. It is possible that other factors, such as market conditions or management practices, may play a more dominant role in influencing financial performance. Overall, this research emphasizes the need for companies in the F&B sector to carefully manage their debt levels and consider the benefits of growing their company size to improve financial performance. Future studies could explore the role of other factors, such as operational efficiency and market conditions, to gain a more comprehensive understanding of what drives financial success in the industry.

Currently, the use of data mining technology has become essential in enhancing business management efficiency, including in the trending coffee shop industry. Data mining allows business owners to analyze sales information in depth, enabling more accurate decision-making regarding inventory management, promotions, and sales strategies. This study aims to implement the Apriori algorithm to analyze sales data at Menrabic Coffee Shop. The Apriori algorithm is used to discover association patterns or relationships between products frequently purchased together by customers, which can assist management in providing inventory that aligns with customer preferences. The research method illustrates the detailed implementation process of the Apriori algorithm, starting from sales data collection, data cleaning, programming, and analysis of the results. The implementation uses web programming languages such as HTML, CSS, MySQL, and JavaScript, while back-end logic is programmed with PHP. The results of applying this algorithm reveal the most popular sales patterns among customers, providing valuable insights for management to improve operational performance and customer satisfaction. Therefore, this study demonstrates that applying data mining with the Apriori algorithm can be an effective tool for understanding consumer behavior and supporting data-driven decision-making at Menrabic Coffee Shop. By utilizing these insights, management can optimize inventory, enhance sales strategies, and ultimately increase overall business efficiency.

The evaluation of information systems becomes important to ensure the effectiveness of the Hospital Information System (SIMRS) application and its positive impact in producing information that meets the standards of data quality with the HOT fit theory, which includes the core elements of the information system: human, organization, Technology and net benefits. The research was conducted using a cross-sectional design and involved 78 SIMRS users in X Hospital as the sample. Data were analysed using the partial least squares (PLS) structural equation modelling (SEM) method. The results of the study showed that user satisfaction, information quality, service quality, system quality, organizational environment, system utilization level, and organizational structure had significant relationships with SIMRS based on hypothesis testing. The significant findings included user satisfaction, net benefits, system utilization, service quality, system quality, organizational environment, and information quality. This study emphasizes the importance of routine and periodic maintenance, monitoring of SIMRS by relevant units, attention to factors influencing SIMRS adoption by users, and regular training related to the operation of the SIMRS application. Efforts to improve operational skills in the aspects of system quality, information quality, service quality, organizational structure, and organizational environment of SIMRS are crucial to optimize the net benefits generated by SIMRS.

The Land and Building Tax (PBB) and the Duty on the Acquisition of Land and Building Rights (BPHTB) serve as crucial fiscal tools for enhancing regional financial independence. In Nabire Regency, administrative and monitoring processes for both taxes are still managed manually, resulting in inefficient service flow, operational delays, and data integrity issues. This study presents the design and development of an internal web-based information system aimed at supporting more structured and accountable tax service management. The system was created using the Waterfall model, encompassing sequential stages: needs analysis, design, implementation, testing, and maintenance. The results demonstrate that the application facilitates faster taxpayer data retrieval, enables real-time tracking of service progress, and delivers well-organized tax arrears data. Its deployment in Nabire’s Regional Revenue Agency (Bapenda) has contributed significantly to improving staff productivity, data reliability, and public trust. These outcomes lay a groundwork for advancing digital transformation in public services, especially in regions still dependent on manual workflows

Micro, Small, and Medium Enterprises (MSMEs) are strategic sectors in the Indonesian economy, but often face challenges in efficient and data-driven production management. This article highlights the urgency of the Real Work Lecture (KKN) program as a form of student service in assisting MSMEs, especially in optimizing the production of snacks typical of Tebing Syahbandar. This research aims to optimize the production output of the Untir-untir Titik Factory with an Integer Linear Programming (ILP) approach using the Branch and Bound algorithm. Primary data is obtained through interviews and production documentation, including product type, raw material needs, operational costs, selling prices, and profit margins. The initial analysis was carried out using the simplex method using POM QM software to obtain a linear solution, which was then refined with the Branch and Bound algorithm so that the results were in the form of integers. The results of the study showed that the optimal solution was achieved by producing 25 bales of kolong-kounder and not producing other types of snacks, resulting in a profit of Rp1,650,000 per day. These findings show that the ILP approach with Branch and Bound is able to significantly increase the efficiency and profitability of MSMEs. In addition, this method can be used as a basis for quantitative-based production decision-making. This research also emphasizes the strategic role of KKN in technology transfer and real solution-based assistance for MSME actors in the region, thereby supporting the sustainable strengthening of the local economy.

Efficient management of patient queues is essential in healthcare systems to ensure timely care, optimize resource utilization, and enhance patient satisfaction. Mathematical programming, particularly when applied in conjunction with queuing theory and optimization models, provides a rigorous framework for analyzing and improving healthcare service delivery. This approach involves modeling arrivals and service processes, applying queuing models (such as single-server, multi-server, and priority queues), and formulating optimization objectives—often to minimize total costs, patient waiting times, or resource idling. Recent research demonstrates that combining queuing theory with mixed-integer programming and simulation techniques enables healthcare managers to allocate resources dynamically, set staffing levels, and assign priorities among different patient categories. For example, the use of mixed-integer programming can determine the optimal number of servers, beds, and service rates based on patient flow and priority needs, striking a balance between reducing waiting times for critical cases and controlling operational costs. These mathematical models also account for practical constraints and stochastic variability inherent in clinical settings. Applications span emergency departments, outpatient clinics, and even pharmacy and blood service centers—showing significant improvements in system efficiency, reduced patient wait times, and enhanced overall care quality. Thus, mathematical programming is a powerful decision-support tool for queue management, offering evidence-based strategies to address congestion and resource allocation challenges in complex healthcare environments.

This study aims to design and implement a web-based employee attendance system with selfie at PT Gunung Selatan. The system was developed as a solution to common issues in manual attendance processes, such as fraud, location limitations, and low time efficiency. Using a Research and Development (RAD) approach and prototyping method, the system was built iteratively with integrated technologies including facial recognition, liveness detection, and GPS. Key features include real-time attendance logging, online leave requests, and integrated attendance reporting. The implementation results show significant improvements in operational efficiency, data accuracy, and transparency in employee attendance management. The system also has the potential for further integration with HR and payroll systems.

A company's financial performance is one of the main indicators in assessing the health and sustainability of a business entity's operations. Evaluation of financial performance is crucial, especially for large companies operating in strategic sectors such as telecommunications. PT. XL, as a telecommunications company listed on the Indonesia Stock Exchange, requires regular performance assessments to provide a clear picture of the effectiveness of its business strategy and its ability to generate profits. This study aims to analyze PT. XL's financial performance using a profitability ratio approach. The research method used is descriptive quantitative, utilizing secondary data sourced from the company's financial statements, including the balance sheet, income statement, and other financial statements for the 2021–2023 period. The profitability ratios analyzed include Net Profit Margin (NPM), Return on Assets (ROA), Return on Equity (ROE), Gross Profit Margin (GPM), and Earnings Per Share (EPS). These five ratios were chosen because they are able to describe the company's ability to generate profits, both in terms of sales, total assets, and shareholder equity. The analysis results indicate that PT. XL's financial performance during the study period is still less than optimal. This is reflected in the profitability ratio, which is below the average standard for the Indonesian telecommunications industry. This condition indicates that the company has not been able to optimally manage its resources to generate competitive profits. This finding has important implications, namely the need to evaluate financial management strategies, operational cost efficiency, and improve service quality to increase company profitability in the future. Therefore, this study confirms that profitability ratio analysis is a crucial instrument for assessing a company's financial condition and serves as a basis for formulating performance improvement strategies.