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Turnover intention is widely recognized as one of the earliest indicators of potential employee resignation, which in turn can generate considerable organizational challenges such as increased operational costs, the erosion of organizational knowledge, and declining productivity levels. While a significant body of international research has explored the antecedents of turnover intention, studies that specifically provide a narrative synthesis within the Indonesian workforce context remain scarce. Recognizing this gap, the present study seeks to identify the dominant factors that influence turnover intention in Indonesia by conducting a narrative literature review. The review focused on nine selected articles published between 2018 and 2023 in nationally indexed journals. To ensure rigor, the selection was based on predefined criteria: the articles had to employ empirical designs involving full-time employees, apply quantitative research methodologies, and explicitly examine the relationships between independent variables and turnover intention. The data extracted from the studies were analyzed thematically to identify recurring patterns and dominant themes. The analysis revealed four key factors that consistently shaped turnover intention across the reviewed literature. First, job stress was found to be a critical determinant, where prolonged work pressure and role overload significantly increased employees’ desire to leave. Second, job satisfaction emerged as a central variable, with dissatisfaction related to compensation, recognition, and career development strongly linked to turnover intention. Third, leadership style played an important role, as authoritarian or unsupportive leadership approaches heightened employees’ intention to resign. Finally, the leader’s role in fostering workplace relationships and support systems was identified as a factor influencing employee attachment and loyalty. In conclusion, this study contributes theoretically by mapping the dominant factors of turnover intention within the Indonesian context and highlights their interconnections.

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.

Central Java Province targets a 16% reduction in stunting by 2023, with the prevalence having been reduced from 31.2% in 2018(Riskesdas, 2018) to 20.8% in 2022 (SSGI). The causes of stunting in Central Java include a lack of knowledge about balanced nutrition, proper parenting, and lack of access to proper drinking water and sanitation. This study aims to determine the implementation of the Central Java Provincial Health Office strategy in reducing stunting rates. The study used a qualitative design with descriptive methods and in-depth interviews, involving samples from the Health Office, TP-PKK, and Head of Puskesmas through snowball sampling techniques. The results showed that implementation at the Puskesmas level has not been optimal, with low community participation. Semarang City has many stunting reduction programs, in contrast to Brebes Regency. The overall provincial target has been achieved, but operational funding constraints hinder optimal program implementation.

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 study analyzes the impact of implementing Indonesia’s Law No. 27 of 2022 on Personal Data Protection (PDP Law) on cybersecurity in the e-business sector. Using a normative qualitative approach through literature analysis, this research examines the regulation’s implications for technical infrastructure, compliance procedures, and human resource capacity development within e-business operations. The findings indicate that although the PDP Law provides a comprehensive legal framework and human-centered principles for personal data protection, its implementation faces technical, operational, and economic challenges, particularly for micro, small, and medium enterprises (MSMEs). These challenges include limited security infrastructure, lack of technical expertise, and high investment costs. Nevertheless, adopting strategies such as multi-layer security architecture, zero-trust security model, privacy by design, and strengthening human resource capacity can enhance consumer trust, industry credibility, and the global competitiveness of Indonesia’s e-business sector. This study contributes to the literature by bridging the gap between personal data protection regulation and cybersecurity practices while offering strategic recommendations for both business actors and regulators.

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 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.

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.

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.

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 impact of generational diversity, organizational culture, and leadership style on employee retention at PT Idea Solusi Indonesia in Tangerang City. This research employs a quantitative approach with descriptive data analysis, correlation, and hypothesis testing using multiple linear regression. The sampling method used is Non-Probability Sampling with a Total Sampling technique, where data is collected through questionnaires using a Likert scale. The collected data is then processed using Microsoft Excel software for further analysis. The results of this study show that the generational diversity variable does not have a significant impact on employee retention. Despite differences in age and background among employees, these factors do not significantly affect their decision to stay with the company. On the other hand, organizational culture and leadership style have a significant influence on employee retention. An inclusive organizational culture that supports teamwork, open communication, and recognition of individual contributions has been shown to improve employee satisfaction and loyalty. Additionally, a leadership style that supports individual development, provides support, and focuses on employee empowerment helps strengthen employee commitment to remain with the company. This study offers important managerial implications for PT Idea Solusi Indonesia in formulating policies to improve employee retention. The company needs to strengthen an organizational culture that promotes well-being and inclusivity, while also enhancing leadership styles that motivate and empower employees. By implementing these measures, the company can create a more conducive work environment that not only encourages loyalty but also boosts employee motivation and productivity in the long run. This is expected to improve the overall performance of the company and ensure more stable operational continuity.

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.

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.

Reservoir heterogeneity has long been recognized as a critical factor influencing the efficiency of enhanced oil recovery (EOR) methods. Among the techniques applied, cyclic waterflooding is considered one of the promising approaches due to its relatively simple operational design and potential to improve sweep efficiency. This method involves alternating water injection in specific cycles to mobilize trapped oil and redistribute reservoir pressure. However, the variation in geological properties such as porosity, permeability, and fluid saturation creates challenges in achieving uniform displacement, especially in reservoirs with high heterogeneity. Understanding the role of heterogeneity is therefore crucial for optimizing cyclic waterflooding applications. This study applies a literature review approach by synthesizing findings from previous experimental and field studies that evaluated cyclic waterflooding under different reservoir conditions. The analysis compares the performance of cyclic water injection periods across reservoirs characterized by varying levels of heterogeneity. Parameters such as injection rate, water breakthrough time, and oil recovery factor were considered in evaluating the effectiveness of this method. The results highlight that reservoirs with high heterogeneity often experience uneven fluid distribution, leading to early water breakthrough and reduced oil recovery. In contrast, reservoirs with relatively low heterogeneity tend to respond better to cyclic waterflooding, resulting in improved sweep efficiency and higher incremental recovery. Moreover, the optimization of cycle timing and water injection intervals appears to significantly mitigate the negative effects of heterogeneity. In conclusion, the study emphasizes that reservoir heterogeneity plays a decisive role in determining the success of cyclic waterflooding. Tailoring injection strategies based on geological variability is essential to maximize recovery efficiency. Future research should focus on integrating advanced reservoir characterization techniques with adaptive cyclic flooding models to further enhance oil production outcomes.

Micro, Small, and Medium Enterprises (MSMEs) are an essential pillar of the Indonesian economy, contributing significantly to employment creation, poverty reduction, and income distribution. However, despite their substantial role, MSMEs continue to face a number of persistent challenges, including limited access to capital, low levels of financial literacy, and inadequate utilization of technology. These barriers hinder their ability to grow, compete, and adapt to rapid economic changes. This study aims to explore and analyze the role of Islamic Financial Institutions (IFIs) in empowering MSMEs within the framework of Sharia principles. Employing a descriptive qualitative approach, this research is based on a comprehensive literature review of scholarly articles, official reports, and other relevant academic sources. The findings reveal that IFIs provide both financial and social contributions to MSMEs. Financially, IFIs channel funds through Sharia-compliant contracts such as mudharabah and murabahah, which allow entrepreneurs to access financing without relying on conventional interest-based systems. Socially, IFIs carry out a redistributive role by managing and disbursing zakat, infaq, sadaqah, and waqf (ZISWAF), while also offering entrepreneurship training, mentoring, and technical assistance. These functions collectively enhance MSMEs’ access to capital, strengthen their managerial and operational capacities, and increase competitiveness in both domestic and global markets. Nevertheless, several challenges remain, including the uneven geographical distribution of IFI services, slow adoption of digital technology, and the need for more supportive regulatory frameworks. Strengthening IFIs’ role through policy integration, technological innovation, and collaboration with government and private sectors is essential for maximizing their impact on MSME empowerment. Thus, IFIs not only act as financial intermediaries but also as socio-economic catalysts that support sustainable and inclusive economic development in Indonesia.

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 analyze the causes of component failure in the Power Train system of unit OHT773E CO2278 at PT. Cipta Kridatama, Samarinda, using the Root Cause Failure Analysis (RCFA) method. The Power Train system is responsible for transferring power from the engine to the final drive and other components, making it critical for the operational success of heavy equipment. Therefore, optimal maintenance is essential to prevent fatal failures that could impact the unit's performance. Based on the analysis, the dominant cause of failure is human factors, particularly technician negligence during component installation. This negligence results from a lack of understanding of the procedures and specifications recommended by the manufacturer, leading to incorrect installation of components. This failure impacts the achievement of the component’s expected lifetime, thus shortening the operational life of the components and increasing the risk of more severe damage. This also leads to higher repair costs and reduced unit productivity, resulting in longer downtime. To address this issue, several preventive measures are recommended, such as regular training for technicians to enhance their understanding of correct procedures and specifications, as well as the importance of following manufacturer guidelines during every maintenance and installation process. Additionally, it is advised to conduct routine discussions between technicians and supervisors to ensure that every maintenance step and installation complies with the established procedures. Increased oversight of the installation and maintenance process is also necessary, along with periodic rejuvenation of components to ensure the optimal performance of the Power Train system. Strengthening Preventive Maintenance (PM) practices is also crucial to minimize future damage potential. Implementing these solutions is expected to enhance the reliability of the Power Train system, extend component lifespan, and reduce failure frequency, ultimately improving the overall efficiency and productivity of the company.