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This study aims to analyze the implementation of risk management at PT API, identify the challenges faced during the process, and evaluate its impact on the company’s financial performance. A qualitative research approach was employed, with data collected through in-depth interviews, direct observation, and documentation review. The data were obtained from managers and staff of the Quality, Risk, and Performance Management unit, providing comprehensive insights into the risk management procedures applied within the company. The findings reveal that PT API has implemented risk management in accordance with the ISO 31000:2018 framework. The processes of risk identification, analysis, evaluation, and mitigation are carried out systematically. However, several challenges were identified that hinder effective implementation. These include reliance on manual monitoring systems, which are prone to errors and delays in reporting, and the lack of widespread awareness of risk culture across all work units. This uneven awareness results in suboptimal employee participation in risk identification and reporting. Nevertheless, the implementation of risk management has shown a positive impact on the company's financial performance. With structured risk treatment and appropriate mitigation strategies, the company has been able to reduce potential financial losses and improve operational efficiency. This is reflected in more controlled budget management and more cautious decision-making based on risk analysis. Overall, the study emphasizes that consistently and thoroughly applied risk management not only functions as a control mechanism but also contributes significantly to the financial stability and sustainability of the company. Therefore, the enhancement of digital monitoring systems and the strengthening of risk awareness across all departments are crucial aspects that need to be addressed moving forward.This research highlights the strategic value of risk management in supporting organizational resilience and financial health, offering practical insights for companies seeking to optimize their risk governance frameworks.

This study aims to analyze the level of Quality of Work Life (QWL) among operational employees at PT. Perkebunan Nusantara IV Regional III, Kebun Sei Garo. The research sample consists of 90 operational employees from PT. Perkebunan Nusantara IV Regional III, Kebun Sei Giro, using a total sampling technique. The data collection method employed is a descriptive quantitative approach utilizing a QWL scale based on a four-point Likert scale. The research instrument comprises 84 items. The findings show that the average QWL score is 268.95 with a standard deviation of 41.85, and the data are normally distributed (Kolmogorov-Smirnov sig = 0.090). Generally, Afdeling II and IV exhibit the highest levels of QWL, particularly in aspects of compensation, working conditions, and job opportunities. In contrast, Afdeling III demonstrates a lower level of QWL, especially concerning social relevance and job opportunities. In conclusion, the QWL of operational employees at PT. Perkebunan Nusantara IV Regional III, Kebun Sei Garo is at a high level; however, special attention and targeted interventions are needed for Afdeling III to enhance work quality and employee motivation.

Indonesia, as the largest archipelagic country in the world, has inter-island waters that are part of the sovereign territory of the Republic of Indonesia, in accordance with the provisions of Law Number 17 of 2008 concerning Shipping. This law covers various regulations related to maritime activity standards, including safe manning. Safe manning is the determination of the minimum number of vessels on duty required to ensure the safe and effective operation of a vessel. The purpose of implementing safe manning is to maintain the safety of the vessel, passengers, and cargo, and to prevent accidents or incidents at sea. This study aims to highlight the important role of optimizing safe manning in shipping safety. Optimizing the validity period of safe manning documents can help shipowners or charterers save costs, especially in managing ship documents. It also ensures that the required number of crew members complies with applicable standards and is well-trained to handle situations that occur during shipping. Furthermore, safe manning is not only related to the number of crew members, but must also comply with the training and certification standards stipulated in the STCW Convention issued by the International Maritime Organization (IMO). With the implementation of this system, it is hoped that all parties involved in shipping operations will be able to manage ship documents more efficiently while simultaneously improving shipping safety. This innovation will provide significant benefits for shipowners in maintaining the operational quality of their vessels. Optimizing safe manning can also reduce legal risks and enhance the shipping company's reputation in the eyes of regulators and clients. By consistently implementing this standard, companies can improve operational efficiency while remaining compliant with applicable international regulations.

This study aims to analyze the influence of business capital, product pricing, and the utilization of e-commerce on the income of micro culinary business actors in Denpasar City. The background of this research is based on the crucial role of micro enterprises in economic development, particularly in the culinary sector, which is one of the largest contributors to the Gross Regional Domestic Product (GRDP) of Denpasar City. Despite the sector's significant growth, increasing competition and uneven adoption of technology remain key challenges in improving business income. This study employs a quantitative approach with an associative research design. The population includes micro culinary business actors spread across the four districts of Denpasar City. The sample was determined proportionally using the proportionate stratified random sampling technique, and respondents were selected using accidental sampling to ensure broad representation. Primary data were collected through direct observation and structured questionnaires, while secondary data were obtained from relevant government institutions such as the Department of Cooperatives and MSMEs and the Central Statistics Agency. The data analysis technique used was multiple linear regression, supported by classical assumption tests (normality, multicollinearity, heteroscedasticity), the F-test to determine the simultaneous influence of the variables, and the t-test to analyze the partial influence of each independent variable on income. The findings indicate that simultaneously, business capital, pricing, and e-commerce significantly influence the income of micro business actors. Partially, each of these variables also shows a positive and significant effect. Business capital provides the foundation for operational activities, pricing affects consumer demand and competitiveness, while e-commerce broadens market reach and improves efficiency. These results highlight the importance of strategic financial management, appropriate pricing strategies, and the adoption of digital platforms to support income growth and sustainability of micro culinary enterprises in Denpasar City.

The Paiton Steam Power Plant (PLTU) is one of the main sources of electrical energy in East Java, which plays a vital role in maintaining a sustainable electricity supply. The reliability of generator units is a key element in maintaining stable energy distribution. However, the high frequency of sudden generator failures poses serious challenges, such as increased downtime and increased maintenance costs. To address these challenges, this study aims to design a generator maintenance prediction model based on the Naive Bayes algorithm with a predictive maintenance approach. This study uses historical maintenance data and key sensor parameters such as temperature, oil pressure, and vibration as input. The data is analyzed through several stages, namely data preprocessing, selection of relevant features, and labeling generator conditions into three categories: Normal, Warning, and Critical. The Naive Bayes model is trained to classify the data probabilistically to generate predictions of future generator conditions. Model evaluation using accuracy metrics and a confusion matrix shows that the model successfully achieved an accuracy rate of 89% and was able to provide early warnings of potential failures up to 3 days before failure occurs. The implementation of this system is expected to support the shift in maintenance strategies from reactive and scheduled systems to data-driven predictive systems. Implementing failure predictions allows the technical team at the Paiton PLTU to conduct planned maintenance, avoid sudden disruptions, and extend equipment lifespan. Thus, this model has the potential to reduce operational downtime by up to 25%, while providing significant savings in operational and logistics costs. This research also shows that integrating machine learning technology into energy facility management can improve the efficiency and resilience of the overall electric power system.

Employee performance is a critical determinant of service quality and operational success in hospitals. High-performing employees contribute directly to patient satisfaction, service efficiency, and overall institutional reputation. This study investigates the influence of intrinsic and extrinsic motivation on the performance of employees at Petrokimia Gresik Hospital, aiming to provide empirical evidence to guide strategic human resource management in healthcare settings. A quantitative research design was employed, with data collected using structured questionnaires. The respondents consisted of 85 permanent employees selected through simple random sampling, ensuring that the sample fairly represented the hospital's workforce. The questionnaire was designed to measure aspects of both intrinsic motivation (such as self-fulfillment, recognition, and meaningful work) and extrinsic motivation (such as salary, benefits, and job security), along with indicators of employee performance. Data were analyzed using multiple linear regression analysis to examine the individual and joint effects of the motivational variables on performance. The results revealed that both intrinsic motivation (β = 0.532, p < 0.05) and extrinsic motivation (β = 0.487, p < 0.05) had a statistically significant and positive impact on employee performance. The model showed that the combination of these two factors accounted for 68.2% of the variation in employee performance (R² = 0.682), indicating a strong explanatory power. These findings underscore the importance of a balanced motivational strategy in hospital management. Relying solely on financial incentives is insufficient; efforts must also be made to cultivate a positive and fulfilling work environment. Therefore, hospital administrators are encouraged to design integrated motivation programs that address both intrinsic and extrinsic factors to enhance employee engagement, productivity, and ultimately, the quality of healthcare services provided.

This study explores the dynamic relationship between top management commitment (TMC), institutional pressures, and competitive advantage within the context of circular economy (CE) adoption in emerging manufacturing firms, focusing on firms in Indonesia and Vietnam. The research examines how TMC mediates the effects of coercive, normative, and mimetic institutional pressures on the adoption of CE practices and how this relationship, in turn, influences competitive advantage. A quantitative approach was used, collecting data from 280 manufacturing firms through structured surveys and in-depth interviews with top executives and sustainability managers. The findings highlight that TMC plays a significant mediating role in driving the adoption of CE practices, particularly under institutional pressures. Coercive and normative pressures were found to have a direct influence on CE adoption, while mimetic pressures exerted an indirect effect, especially when coupled with other pressures. Furthermore, TMC was shown to strengthen the link between CE adoption and competitive advantage, improving resource optimization, operational efficiency, and customer loyalty. The study underscores the critical role of leadership in navigating external pressures and integrating sustainability into the core business strategy, offering a competitive edge in the global market. The implications of these findings are particularly relevant for manufacturing firms in emerging markets, suggesting that top management’s strategic commitment to sustainability can drive long-term value and foster a competitive advantage through the adoption of circular economy practices. Future research should consider expanding the study to other industries and geographic regions to further understand the broader applicability of these findings.

The increasing vulnerabilities of modern enterprise network security systems highlight the necessity of adopting a more comprehensive and adaptive security approach than traditional VPN infrastructures. This study explores the design and implementation of Zero Trust Network Access (ZTNA) using the Cloudflare platform at PT FHI, focusing on addressing the weaknesses caused by uncontrolled remote access and legacy security models. The research adopts an experimental methodology based on the Network Development Life Cycle (NDLC), which includes systematic phases such as needs analysis, architectural design, system implementation, testing, and performance evaluation. Data were collected through structured interviews with IT managers and security specialists, direct observation of network logs, and comprehensive testing involving three different categories of end users. The findings demonstrate significant improvements in role-based access control, granular authentication, and the elimination of unrestricted access to internal resources. Additionally, real-time monitoring and alerting features available through the Cloudflare dashboard enhance visibility and responsiveness to potential threats. The implemented system successfully applies the “never trust, always verify” principle by blocking unauthorized access attempts, enforcing continuous validation, and producing detailed audit logs. Performance evaluation results confirm stable connections, acceptable latency for critical business applications, and an overall improvement in network security posture while maintaining operational productivity across departments..

The Printed Circuit Board (PCB) industry increasingly relies on automation and digitalization to improve efficiency and accuracy in production and distribution processes. One common practice is the use of labels containing product information in the form of barcodes or QR codes, which allow automatic data input and reduce the risk of human error compared to manual writing. However, in current practices, these labels are only attached to PCBs after they have been placed inside casings. This creates a significant limitation, as access to the label information requires disassembling the casing whenever product verification, tracking, or troubleshooting is needed. Such a process not only consumes additional time and resources but also increases the risk of damaging the product. To overcome this challenge, this study proposes the development of a traceability system designed to accurately monitor the location, identity, and status of PCBs throughout the distribution process. The system was implemented as a web-based application capable of generating and printing product information labels in the form of barcodes and QR codes. Each label functions as a unique identifier, ensuring that every PCB can be distinctly tracked from production to final product assembly. All data associated with the labels is automatically stored in a centralized database, providing real-time accessibility, simplifying information management, and enabling faster decision-making in the event of quality control issues. System evaluation was carried out through rigorous testing, which showed a 100% success rate in generating, storing, and retrieving product information without errors. The findings indicate that the proposed traceability system is both effective and efficient, and it offers a practical solution for industries seeking to enhance supply chain visibility, improve product accountability, and reduce operational inefficiencies in PCB distribution and lifecycle management.

To support the smooth operation of maritime transportation, particularly in the transportation of liquids such as FAME oil, factors that can influence cargo loss must be properly managed. Deterioration in quality or loss of cargo volume can occur for several technical and non-technical reasons. One of the main factors causing FAME cargo loss is a leak in the ship's hull or poorly maintained tank structures, resulting in partial cargo loss during the voyage. Furthermore, inappropriate vessel characteristics, such as suboptimal carrying capacity, are also a major cause of cargo loss. Inaccurate unloading and unloading procedures, such as careless handling, also contribute to this problem. The impact of FAME cargo loss is significant, both financially and on the company's reputation. Claims received from charterers regarding losses can be detrimental to the company, and decreased customer confidence can impact shipping volumes and revenue. To minimize the risk of cargo loss, companies need to implement effective strategies, such as routinely inspecting vessels and storage tanks to ensure there are no leaks. Training crews in proper loading and unloading procedures is also crucial to avoid human error that can lead to losses. Implementing a regular visual and technical inspection system will improve operational quality and minimize cargo loss during FAME transportation. Furthermore, the use of more advanced monitoring technology, such as sensors to detect leaks or changes in tank pressure, can help detect problems early. Data-driven maintenance management systems can also be used to monitor vessel condition and optimize maintenance schedules, thereby reducing the risk of damage that could lead to cargo loss.

This research is motivated by the high intensity of activity in the apron area, the limited number of personnel, and the implementation of a shift work system in the Apron Movement Control (AMC) unit at Halim Perdanakusuma Airport. These conditions have the potential to cause excessive workloads for personnel, which can impact the effectiveness of operational supervision and disrupt their physical and mental health. The main objective of this study is to analyze the workload of AMC personnel and determine the ideal number of workers to ensure optimal supervision in the apron area. This study uses a quantitative descriptive approach. Data collection techniques were carried out through direct observation and the distribution of questionnaires to all personnel activities in the AMC unit. Data analysis used the Full Time Equivalent (FTE) method to calculate the total actual working time required, and compared it with the standard full-time working hours according to employment regulations. The results showed that the workload of AMC personnel is quite high. Of the seven personnel analyzed, two people obtained an FTE value above 1.28, indicating an overload condition, four people were in the FTE range of 1.00 to 1.28, which is considered normal, and one person had an FTE value below 1.00, indicating an underload condition. These findings indicate an imbalance in the distribution of workload among personnel. As a result, some personnel must perform multiple tasks simultaneously, potentially compromising the quality of oversight and operational safety in the apron area. Based on these findings, a re-evaluation of the division of tasks and workforce within the AMC unit is recommended to create a proportional workload and support optimal safety and operational performance at Halim Perdanakusuma Airport.

This conceptual study examines how Islamic Da’wah institutions can be strategically transformed to effectively contribute to the achievement of Sustainable Development Goals (SDGs), particularly Goal 4 on quality education and Goal 16 on peace, justice, and strong institutions. Grounded in strategic management principles and the ethical foundations of Islamic thought, especially maqashid shariah (the objectives of Islamic law), the paper presents a model that integrates religious values into institutional planning and reform. By conducting a thorough review of existing literature, the study identifies and synthesizes essential components for transformation, including visionary leadership that prioritizes long-term impact, ethical governance rooted in transparency and accountability, and inclusive education that is both accessible and values-based. The analysis reveals that aligning Islamic ethical frameworks with global development goals can enhance the operational effectiveness and social relevance of Da’wah institutions. Moreover, the incorporation of maqashid shariah in organizational strategy promotes a holistic approach to development that balances spiritual and material objectives. The study argues that by embracing strategic planning processes that reflect both Islamic values and modern development practices, Da’wah institutions can play a crucial role in advancing educational equity and institutional integrity. This not only strengthens the legitimacy and sustainability of these organizations but also positions them as key partners in the broader development agenda. Ultimately, the paper contributes to ongoing discussions about the role of faith-based organizations in global development by offering a conceptual framework that bridges Islamic governance principles with the pursuit of sustainable development outcomes, encouraging a more integrated and ethically grounded approach to institutional reform.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in supporting national economic growth, particularly through their contributions to job creation and the development of local potential. MSMEs serve as the backbone of inclusive economic development by reaching various segments of society. However, despite their strategic importance, MSMEs often face internal challenges, including the risk of fraud committed by employees. This study aims to examine the forms of fraud risk occurring within the MSME HJ.GUS BUSANA and analyze their impact on business operations. A qualitative descriptive approach was used, with data collected through direct interviews with the business owner. This method allowed for a contextual and in-depth understanding of the types of fraud experienced. The findings reveal two primary forms of employee fraud that pose a threat to operational efficiency and business sustainability. First, the excessive use of raw materials without the owner’s knowledge or approval, categorized as a high-risk behavior. Second, the use of business facilities such as equipment and working hours for personal purposes, categorized as a moderate-risk behavior. These practices lead to resource wastage, increased operational costs, and decreased productivity. The impact of such fraud is not only financial but can also erode trust within the workplace environment. Therefore, a more effective internal control system is essential, including proper monitoring of material usage and access to business resources. Additionally, instilling strong work ethics and a sense of responsibility among employees is crucial in building a positive organizational culture. Implementing these measures is key to ensuring that MSMEs can not only survive but also grow sustainably amidst the ever-changing business landscape. Strengthening internal supervision and ethical awareness can significantly reduce the risk of fraud, thereby enhancing the long-term resilience and performance of the enterprise.

This study examines a comprehensive approach to addressing common issues in laundry services, such as ineffective scheduling, skills gaps, and operational inefficiencies. The research focuses on RPK Omah Laundry Prapen, aiming to improve work processes and optimize human resources in this laundry business. The proposed solutions include the implementation of an attendance system, financial application training, laundry and ironing skills training, and a single-shift work system. The attendance system is designed to improve workforce punctuality, while the financial application training aims to enhance employees' understanding of financial management. Additionally, providing specific training on laundry and ironing techniques helps to bridge the skills gap and ensure high-quality service. The introduction of a single-shift work system aims to increase efficiency by streamlining operations and reducing staff fatigue. The results of the study indicate that these proposed solutions lead to several positive outcomes. The attendance system contributes to better time management, fostering a sense of responsibility among employees. Financial application training helps staff manage the business's finances more effectively, leading to more informed decision-making. Furthermore, the skills training program has shown improvements in the quality of laundry and ironing services, which directly impacts customer satisfaction and retention. The adoption of a single-shift work system reduces operational costs and increases the overall efficiency of the laundry services. Ultimately, this approach enhances fairness, operational efficiency, and productivity, creating a more conducive work environment. Implementing these integrated solutions can help laundries, such as RPK Omah Laundry Prapen, achieve better, sustainable performance by addressing key operational challenges and maximizing their workforce's potential. This study provides valuable insights for other laundries looking to optimize their operations and improve long-term business success.

Completeness, suitability, and accuracy in filling medical record documents are essential for effective management of patient files, as well as for improving the overall quality of healthcare services. Medical records serve as a critical tool for documenting patient histories, treatments, and decisions made during their healthcare journey, thus impacting the quality of care provided. Incomplete or inaccurate documentation can lead to delays in treatment, miscommunication among healthcare providers, and legal issues related to patient care. Studies have shown that comprehensive medical records are linked to improved patient outcomes and enhanced operational efficiency in healthcare settings (Smith et al., 2019; Johnson & Patel, 2021). This study aimed to assess the completeness of patient medical record documents in the Medical Resume and Informed Consent forms for inpatients with surgical cases at Tgk. Chik Ditiro Sigli General Hospital. Using a descriptive quantitative approach, the research analyzed a random sample of 293 medical documents. The findings revealed that the completeness of medical record documentation was 69% for the Medical Resume sheet and 83% for the Informed Consent sheet. The study concluded that certain sections were either incomplete or omitted, primarily due to the assumption that certain fields were not applicable to the particular patient’s case. This highlights the need for further training and awareness for healthcare staff regarding the importance of complete medical documentation. The hospital should implement stricter guidelines for filling out medical records and ensure that healthcare workers fully understand the significance of accurate and complete documentation. Future research could explore strategies for improving the consistency of medical record documentation and evaluate the impact of training programs on filling medical records (Williams et al., 2020).

This community service program aimed to enhance the safety compliance and service quality of gas station (SPBU) operators in Semarang through a structured refresher training initiative. The training was conducted over eight days and involved 120 participants from eight different SPBU locations. The program adopted a comprehensive approach by combining theoretical sessions, practical simulations, and role-playing exercises tailored to address real-world scenarios faced by SPBU personnel. Key training components included emergency response protocols, customer service excellence, complaint management, and adherence to safety procedures. The outcomes of the program showed measurable improvements. Post-training evaluations revealed a significant increase in participants’ knowledge and understanding of operational safety and service standards. Additionally, a notable reduction in emergency response times was observed during simulated drills. Feedback collected from the participants indicated enhanced confidence in handling routine operations, responding to customer complaints, and executing emergency procedures. This reflects the program’s success in not only increasing technical competence but also in boosting the professional demeanor of SPBU staff. Despite its success, the program encountered challenges, particularly in aligning the training schedule with participants’ daily work commitments, which occasionally hindered full attendance. To ensure long-term impact and continuity, the program recommends implementing annual refresher training sessions in collaboration with local safety and regulatory authorities. This would foster a culture of continuous improvement and compliance among SPBU operators, ultimately contributing to safer and more efficient fuel service operations in the region. Overall, the initiative highlights the critical role of ongoing professional development in enhancing service delivery and maintaining high safety standards in the fuel retail sector.

Internet of Things (IoT)-based digital transformation has become a major catalyst in improving the efficiency of operational systems in various sectors, including the modern retail industry. One of the common logistics problems found in supermarket environments is the accumulation of unorganized shopping trolleys, which can hinder service flow and increase staff workload. This study presents a design of an IoT-based autonomous smart trolley system and automatic navigation to address these problems in a structured manner. The system design utilizes the integration of ESP32 and Arduino UNO microcontrollers, ultrasonic sensors for distance detection, line sensors for automatic path navigation, and Raspberry Pi modules for visual image processing in location tracking. The system is designed to be able to independently reposition the trolley to a predetermined parking station. Conceptual analysis shows that this system has significant potential in reducing operational costs, increasing labor efficiency, and strengthening customer service automation. Initial evaluation of technical and economic feasibility aspects strengthens the opportunity for widespread system implementation in the future. This design is the first step in developing a smart retail solution based on adaptive technology that is in line with the principles of Society 5.0. Furthermore, the development of this smart trolley system also considers user safety and comfort through additional features such as anti-collision sensors, an early warning system in the event of technical problems, and a manual control option as an alternative in emergency situations. The integration of Internet of Things-based technology also enables real-time monitoring and management systems through a web-based dashboard or mobile application, which can be accessed by supermarket management for operational analysis. Thus, this system not only addresses internal logistics needs but also contributes to improving the overall customer experience.

This study aims to conduct a SWOT analysis in planning the development strategy of Child-Friendly Integrated Public Space (RPTRA) in East Cempaka Putih Village. RPTRA is a public facility designed to support children's growth and development, improve the quality of the social environment, and strengthen relationships between residents in urban areas. Despite having great potential in encouraging social development, the existence of RPTRA still faces various challenges in its implementation, such as limited facilities, lack of community participation, and weak management systems. This study uses SWOT analysis methods to identify the strengths, weaknesses, opportunities, and threats faced by RPTRAs in the region. The data collection technique was carried out through direct observation at the location, documentation, and interviews with various stakeholders, including the village government, RPTRA managers, and the community using the facility. The results of the analysis show that the main strength of RPTRA lies in the existence of basic infrastructure, strategic location, and policy support from local governments. Weaknesses include lack of operational funds, limited educational facilities, and lack of training for managers. Opportunities can be seen from increasing public awareness of the importance of child-friendly public spaces and the opening of potential partnerships with the private sector. The threat comes from the potential for vandalism, lack of social control, and the risk of non-functional use of space. This research provides a number of strategic recommendations that include multi-stakeholder collaboration, active community involvement, and capacity building of human resources in the management of RPTRA. In addition, the proposed long-term strategies include the integration of family empowerment programs, the improvement of educational technology-based facilities, and the strengthening of regulations that support the sustainability of the RPTRA program. The implications of this study are expected not only to have an impact on optimizing the function of RPTRA locally, but also to become a model for the development of child-friendly public spaces in other urban areas. This research contributes to the literature on inclusive urban development oriented towards child welfare and strengthening community social cohesion.

This study analyzes the effect of Total Asset Turnover (TATO), Earnings per Share (EPS), and Dividend Payout Ratio (DPR) on the stock prices of firms listed in the SRI-KEHATI Index during 2020–2024, employing a quantitative approach and multiple linear regression. The sample was selected purposively based on the following criteria: firms consistently included in the SRI-KEHATI Index throughout 2020–2024, availability of complete annual financial statements, and availability of dividend and stock price data for the observation period. The results indicate that TATO, EPS, and DPR jointly have a significant effect on stock prices, with R²=0.666, meaning 66.6% of the variation in stock prices is explained by the model, while 33.4% is influenced by other factors outside the model. Partially, EPS and DPR have positive and significant effects on stock prices, whereas TATO is not significant at the 5% level. The findings imply that investors in SRI-KEHATI constituents should prioritize per-share profitability (EPS) and dividend policy (DPR) in fundamental assessments, while TATO should be evaluated with regard to sectoral characteristics and each firm’s operational context.

Employee shift scheduling in the hospitality industry remains a critical yet complex task due to fluctuating operational demands, fairness requirements, and labour regulations. Many hotels still rely on manual scheduling methods, which are time-consuming and prone to biases, particularly in ensuring fair workload distribution across employees. Despite numerous studies on workforce scheduling, limited attention has been given to integer linear programming (ILP) models that address gender-based restrictions and operational fairness simultaneously in real-world hotel contexts, especially in developing regions such as Central Java. This study proposes an Integer Linear Programming (ILP) model to generate optimal shift schedules for hotel staff over a 31-day planning horizon. The model incorporates operational constraints, including one shift per day, gender-based restrictions (which prevent female staff from working night shifts), availability, minimum staffing levels, and fairness in workload distribution. Key parameters and binary decision variables were defined to ensure compliance with the hotel's specific requirements. Empirical data were collected from a hotel in Central Java involving 20 employees, and the model was implemented using Python with a Gurobi solver. The ILP model successfully generated optimal schedules in under 10 seconds, significantly outperforming the manual method, which required over 4 hours. While the manual schedule resulted in an imbalance where some employees worked over 27 days and others only 22, the ILP approach enforced a strict maximum of 26 working days for all staff. Furthermore, the fairness index (FI) improved from 19.2% in the manual method to 0% in the ILP-generated schedule, indicating complete equity in workload allocation. The proposed ILP model demonstrates its effectiveness in improving scheduling fairness, operational efficiency, and compliance with labour policies. This work not only addresses a critical research gap in hospitality scheduling practices in Indonesia but also offers a replicable framework for other labour-intensive service sectors. Future research may explore multi-objective extensions incorporating employee preferences, satisfaction, and dynamic demand fluctuations.