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This qualitative study examines standard operating procedure (SOP) implementation for tugboat clearance operations at Jepara Port, analyzing service quality enhancement through comprehensive stakeholder engagement. Utilizing semi-structured interviews with 25 participants across five stakeholder categories, the research reveals significant operational improvements including a 35% reduction in clearance processing times and a 35.5% increase in stakeholder satisfaction scores. Findings demonstrate that standardized procedures enhance port operational efficiency while strengthening maritime vocational education integration. Beyond efficiency gains, the study highlights the role of SOPs in ensuring transparency, accountability, and consistency in port service delivery. Respondents emphasized that clear procedural guidelines reduce uncertainty, minimize conflicts between stakeholders, and establish a common framework for decision-making in dynamic operational contexts. Moreover, the integration of vocational education elements into procedural design strengthens workforce competencies, aligning training curricula with real-world port requirements and industry expectations. The study contributes both theoretically and practically by offering evidence-based frameworks that can be adopted by other Indonesian ports. It underscores the importance of combining procedural standardization with stakeholder collaboration to achieve sustainable improvements in maritime service quality. Overall, the findings establish replicable models for enhancing national port competitiveness and advancing maritime industry development through systematic procedural and operational innovation that ensures long-term sustainability and resilience.

This study examines the political reconstruction of fair juvenile criminal law in the diversion mechanism at the investigation stage in Indonesia. The background of the research departs from the gap between the empirical conditions (das sein) and the ideal conditions (das sollen) mandated by the Law on the Juvenile Criminal Justice System UU SPPA and the principle of the best interest of the child in the Convention on the Rights of the Child. The research method used is normative legal research with legislative, case, and comparative approaches. The results of the study show that the implementation of diversion faces obstacles in substance, structure, and legal culture: procedural uncertainty, limited capacity of apparatus, lack of supporting facilities, and weak coordination across institutions. This research offers a reconstruction of legal politics in these three domains at once substance, structure, and culture so that diversion truly becomes an instrument of restorative justice that restores, not punishes. The scientific contribution of this article lies in the formulation of a multi-layered policy model, the elaboration of performance indicators for the implementation of diversion at the investigation stage, as well as a matrix of operational recommendations for stakeholders at the police, prosecutor's office, court, and child social service institutions.

This study aims to analyze the influence of Leadership Style, Workload, and Work Environment on Turnover Intention in employees of the Quality Department of PT. Pharos Indonesia. Turnover Intention is understood as the tendency of employees to leave the organization, which can have an impact on the company's operational effectiveness and stability. This study uses a quantitative approach with multiple linear regression method to test the relationship between variables. The sampling technique was carried out by non-probability sampling with a saturated sampling method, involving the entire population of 30 respondents. The research instrument was in the form of a Likert scale questionnaire, and the data obtained was processed using Microsoft Excel 2016 and SPSS version 26. The results of the analysis show that Workload has a positive and significant effect on Turnover Intention. These findings indicate that increased workload can drive employee intent to leave the company. In contrast, Leadership Style and Work Environment did not show a significant influence on Turnover Intention. The implications of these results emphasize the importance of effectively managing workloads as an employee retention strategy. This research makes a practical contribution to human resource management, especially in the pharmaceutical industry sector, to design more adaptive and sustainable work policies. In addition, the results of this study can be a reference for follow-up studies that want to explore other variables that have the potential to influence Turnover Intention in the context of modern organizations.

Background: The scheduling of work of health workers, especially radiographers in type B hospitals, is a complex challenge due to the variety of radiology modalities, variations in the number of human resources, and the provisions of working hours regulations from the Ministry of Health of the Republic of Indonesia. Manual scheduling that is still in use tends to cause workload inequality, conflicts between employees, and operational inefficiencies. Objective: This study aims to design and develop an Artificial Intelligence (AI)-based radiographer shift scheduling system that is able to prepare work schedules automatically, fairly, flexibly, and integratedly, in accordance with hospital service regulations and needs. Research Method: This type of research is Research and Development (R&D). The development process is carried out through the stages of needs analysis, designing Python and Flask-based systems, simulating tests on data, and expert validation then the data collected and described from the initial mapping and also mapping potential problem-solving. Results: The system successfully manages morning, noon, night, and holiday shift schedules based on competence, fair rotation, and maximum working hours provisions. By showing a significant difference between user perceptions before and after using the system, which reflects improved efficiency, fairness, and ease of access to schedules. Respondents expressed satisfaction with the override feature and integrated notifications. Conclusion: The development of an AI-based radiographer shift scheduling system has proven to be feasible and effective in overcoming managerial problems of work scheduling in hospitals. This system is able to increase efficiency, transparency, and user satisfaction, and has the potential to be widely applied to various types of hospitals in Indonesia.

The maintenance of non-aviation defense equipment (main weapon system) is a critical aspect in maintaining operational readiness. However, the Maintenance, Repair, and Overhaul (MRO) system in Indonesia still faces limitations due to manual reporting, inefficiency in spare parts management, and the lack of integration of the Life Cycle Cost (LCC) approach. This study aims to design and develop the Integrated Cavalry Monitoring and Maintenance System (ICMMS) based on a web application that integrates sensors, real-time data analytics, and LCC calculation. The prototyping method was used, involving design, development, integration, and testing phases on the Maung Tactical Vehicle and Anoa Armoured Personnel Carrier at PT Pindad. The results of the prototype implementation showed a significant increase in maintenance efficiency: damage reporting time decreased from ±3 hours to ±1 minute, critical component identification became 95% faster, and maintenance scheduling shifted from reactive to predictive. Additionally, the integration of the LCC algorithm allows for more accurate maintenance cost estimation, supporting technical and strategic decision-making. This study demonstrates that ICMMS based on LCC can be an innovative digital solution to enhance MRO effectiveness and operational readiness of non-aviation defense vehicles in Indonesia. It is expected that this system will improve the resilience and cost-effectiveness of managing Indonesia’s military vehicle fleet.

Capacity-building training for housekeeping staff in hotels and restaurants is a crucial aspect of maintaining service quality and enhancing customer satisfaction. Competent housekeeping personnel not only ensure physical cleanliness but also directly impact the reputation, image, and competitiveness of businesses in the hospitality and restaurant sectors. This community service program aims to develop the capacity of housekeeping staff through focused training on mastering cleaning techniques, effective waste management, and the proper and safe use of cleaning tools and materials. The training methodology is conducted directly using a participatory approach, allowing participants to actively engage in practical simulations, discussions, and case studies related to cleaning procedures, operational standards, and waste handling. Evaluation is conducted using pre-test and post-test assessments to measure improvements in participants’ knowledge, skills, and understanding of good cleaning practices. Results demonstrate significant improvements in mastering cleaning techniques, understanding waste management, and the ability to use cleaning tools and materials correctly. Additionally, participants reported increased awareness of the importance of consistently maintaining cleanliness standards, which is expected to be applied in daily workplace activities. The contribution of this community service provides tangible benefits in enhancing human resource quality in the hotel and restaurant sectors while supporting the achievement of professional, hygienic, and environmentally friendly service standards. This training is expected to serve as a sustainable model for the continuous development of housekeeping staff competencies in the broader hospitality and tourism industry.

Micro, Small, and Medium Enterprises (MSMEs) play a strategic role in Indonesia’s economy, particularly in the food sector, which focuses on snack products such as chips. However, many MSMEs still face production challenges, especially in the dough mixing process that is commonly carried out manually. This condition results in low efficiency, limited production capacity, and inconsistent dough quality. This study was conducted at Kripik Wulan 008 MSME in Panimbang Jaya Village with the aim of designing and implementing a 50-kg capacity horizontal dough mixer as an appropriate technology solution. The mixer was designed using a 2 HP single-phase electric motor with a 1:30 gearbox ratio and a food-grade stainless steel mixing chamber. Testing results showed that the machine could mix 50 kg of dough in 15–20 minutes, which is significantly faster than the manual method requiring more than 40 minutes. After implementation, daily production capacity increased from 50–75 kg to 75–100 kg, with dough quality becoming more homogeneous and hygienic. In addition, operational training provided workers with improved skills in operating and maintaining the machine. Therefore, the application of this horizontal dough mixer has proven effective in enhancing productivity, efficiency, and the competitiveness of food-sector MSMEs in an increasingly competitive market.

Clean water distribution in the Community-Based Drinking Water Supply and Sanitation Program (PAMSIMAS) in Kuwasen Lama Village, Gunungpati District, Semarang City, faces the challenge of unequal supply between highland and lowland areas. The main factors that affect these conditions include differences in topography, suboptimal piping network design, and unbalanced water pressure, especially during peak hours. This research proposes a solution based on Internet of Things (IoT) technology using the ESP32 module as a control center, which is integrated with the Blynk application for real-time monitoring and control of the system. The system is equipped with a water flow sensor, water level sensor, motorized valve, and booster pump to increase water pressure in high elevation areas. Two design schemes were tested, namely flow regulation using a motorized valve, and a combination of a motorized valve with a booster pump. The results of the simulation and implementation showed an increase in water pressure stability, equitable distribution, and a decrease in the frequency of supply disruptions. The system also allows for live monitoring of network conditions, facilitates technical decision-making, and improves operational efficiency. With an adaptive and community participation-based approach, this solution has the potential to become a model for PAMSIMAS clean water distribution management that is efficient, sustainable, and responsive to geographical challenges, while strengthening the resilience of clean water services in rural areas.

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.

UMKM Tahu XYZ, a small-scale tofu producer, is currently facing significant challenges in maintaining consistent product quality, primarily due to a high defect rate. Common issues identified include crumbled tofu shapes, overly soft textures, and inconsistent taste, which negatively impact customer satisfaction and business sustainability. This study aims to investigate the root causes of these quality issues and propose practical solutions using the Lean Six Sigma methodology. The research employs a descriptive quantitative approach through the DMAIC framework—Define, Measure, Analyze, Improve, and Control—to ensure systematic problem-solving. Data were collected over a six-month period through direct observation, structured interviews, and review of production records. The analysis identified four dominant types of waste within the production process: unnecessary transportation, product defects, excessive movement, and over-processing. The root causes of these inefficiencies are linked to poor handling of raw materials, variability in soybean quality, and an ineffective production layout that hampers workflow and consistency. To address these problems, the study proposes several targeted interventions, including the redesign of the production layout to optimize flow, the implementation of the 5S (Sort, Set in order, Shine, Standardize, Sustain) workplace organization method, the development of standardized operating procedures (SOPs), and the adoption of improved soybean boiling technology. The implementation of these improvements is projected to significantly reduce product defects, enhance process efficiency, and ultimately increase customer satisfaction. Furthermore, these actions are expected to improve the overall competitiveness of UMKM Tahu XYZ within the highly demanding food industry sector. This research provides actionable insights for other micro, small, and medium enterprises (MSMEs) seeking to apply structured quality control methods to strengthen operational performance and long-term business resilience.

The spice industry faces significant challenges in maintaining product weight consistency as part of quality assurance and compliance with production standards. A case at PT X revealed that a newly installed filling machine produced deviations from the target weight of 50 grams, with hypothesis testing showing that out of 30 samples, 17 samples fell outside the  confidence interval. To mitigate this issue, this study proposes the development of a real-time data-driven Decision Support sistem (DSS) combined with statistical approaches. The methodology includes two-tailed hypothesis testing to detect weight deviations and Failure Mode and Effects Analysis (FMEA) to identify dominant failure causes based on high Risk Priority Numbers (RPN), such as delayed machine calibration, operator error, and worn-out machine components. These findings serve as the foundation for designing the DSS architecture, which consists of sensor input modules, statistical data processing, risk mapping, and an automated corrective recommendation engine. The sistem is designed to enable early detection of deviations, accelerate response time to quality issues, and support data-driven decision-making on the production floor. The study concludes that a structured implementation of DSS can be an effective strategy to improve product weight consistency and enhance operational efficiency in spice manufacturing.  

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 presents a modal analysis of Pertamina EP Cepu’s closed drain pump 510-P9002, which operates in the condensate–water treatment unit of the Jambaran Tiung Biru field. Field vibration measurements conducted in August 2024 indicated a fundamental frequency of 25 Hz, corresponding to 1×RPM of the driving motor, with maximum amplitudes reaching 13.46 mm/s. Such excessive vibration poses risks of mechanical damage, reduced equipment service life, and potential operational failure. To address this issue, finite element analysis (FEA) was employed to examine the dynamic response of the pump, determine its natural frequencies, and identify possible resonance conditions. A CAD model of the pump–vessel assembly was developed, meshed, and analyzed under actual boundary conditions. The results showed several natural frequencies ranging between 23.16 and 26.65 Hz, which are close to the excitation frequency, suggesting a very high likelihood of resonance. Various structural modifications were then evaluated, including a half casing and two types of full casings. Among these, the full casing B design provided additional stiffness in the motor support area; however, none of the modifications effectively reduced vibration within the internal components. Based on these findings, the study recommends the implementation of a dynamic vibration absorber (DVA) tuned to the excitation frequency, along with the redesign of structural components to shift natural frequencies away from operating excitation. These solutions are expected to improve operational stability, extend equipment lifespan, and enhance overall system reliability. The outcomes of this research provide important insights for managing vibration issues in pump systems operating under similar conditions, particularly in the oil and gas industry where continuous, stable operation is critical.

Distribution is an important aspect that affects the operational efficiency of a company, especially in terms of goods delivery. This study aims to develop an optimization model for LPG gas distribution routes using Excel Solver based on geographic coordinate conversion. In this study, the method used includes converting geographic coordinates from decimal to Degree-Minute-Second (DMS) format, followed by conversion to kilometers to form a more accurate distance matrix. The optimization model was built using the Capacitated Vehicle Routing Problem (CVRP) approach, which takes into account vehicle capacity constraints (a maximum of 560 cylinders per truck) and the limited number of available fleets, which is only one truck. The results show that coordinate conversion produces high accuracy in calculating distances between distribution locations. By using Excel Solver, the optimization solution successfully minimizes the total distance traveled compared to the conventional route, where distribution is carried out more evenly to 57 scattered LPG base locations. The addition of Solver Parameters Evolutionary and All Different constraints proved effective in avoiding duplication of visits and producing optimal distribution routes. This solution not only improves distribution time and cost efficiency, but also improves service to customers by reducing delivery delays. The success of this optimization model is expected to be implemented by other distribution companies to improve their operational performance. This study also highlights the importance of selecting the right software to aid the distribution optimization process. Excel Solver, despite its simplicity, proved highly effective in solving complex distribution routing problems, especially when combined with coordinate conversion techniques that yield more accurate distances. Furthermore, the application of the CVRP method enabled more efficient decision-making in determining distribution routes, taking into account vehicle capacity and fleet limitations.

Water heating systems on ships play a crucial role in supporting crew comfort and operations. However, conventional systems generally operate continuously without automatic control, resulting in energy waste and high operational costs. This situation drives the need for innovation in more efficient and environmentally friendly water heater designs. This research aims to design and implement an automated water heater temperature control system based on an ESP32 microcontroller with on/off control and the use of paraffin wax as a latent heat storage medium. This design is expected to improve energy efficiency while reducing the operational costs of water heaters on ships. The research methodology includes system design, hardware assembly, and performance testing, both static and dynamic. Testing was conducted to evaluate temperature stability and energy efficiency in system conditions with and without the use of paraffin wax. The results showed that paraffin wax improved water temperature stability while reducing the frequency of heater activation. In a 24-hour test, the system without paraffin wax recorded a heater operating time of 15 hours, consuming 8.85 kWh of electricity and costing Rp11,965.20. In contrast, the Paraffin Wax system only requires 10 hours of heater operation, consumes 5.90 kWh, and costs Rp7,976.80. This demonstrates energy savings of 2.95 kWh and a cost efficiency of up to 58%. Therefore, the ESP32-based water heater automation system and heat storage using Paraffin Wax are proven to be more energy-efficient, cost-effective, and have the potential to be an innovative and environmentally friendly solution for ship operational needs.

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.

This study aims to analyze the influence of liquidity, leverage, profitability, and company size on the share prices of companies that are members of the Investor33 index on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. This study uses a quantitative approach with purposive sampling techniques, so that 17 companies out of a total of 46 companies that meet the criteria are obtained. The data used is secondary data in the form of annual financial statements obtained from the IDX's official website. The analysis method used was multiple linear regression with the help of the Statistical Program for Social Science (SPSS) software version 25. The results of the analysis show that the leverage and profitability variables have a significant effect on the stock price, which indicates that the company's capital structure and ability to generate profits are important factors in the investor's assessment. In contrast, the liquidity variables and company size do not show a significant influence on the stock price, which means that the company's ability to meet short-term obligations and operational scale are not the main determinants in the formation of the stock price on the index. These findings provide implications for investors and company management to pay more attention to profitability and leverage aspects in financial strategies and investment decision-making. This research can also be a reference for further studies related to the analysis of financial ratios and capital market dynamics in Indonesia.

This study aims to analyze and improve the quality control of packaging printing production at PT XYZ by applying the Lean Six Sigma methodology. Lean Six Sigma combines waste reduction principles with statistical quality control to achieve operational excellence. The research identifies major production challenges, including high defect rates, overproduction, and ineffective inventory management, all of which contribute to increased costs and reduced efficiency. The DMAIC framework—Define, Measure, Analyze, Improve, and Control—was employed to systematically address these issues. During the Define and Measure phases, types of waste were identified and defect rates were calculated using Defects Per Million Opportunities (DPMO). In the Analyze phase, root causes were examined using a Fishbone (Ishikawa) diagram, highlighting factors related to manpower, materials, machines, and methods. The analysis revealed a sigma level of 3.2, indicating a moderate level of process quality and substantial room for improvement. To address the identified issues, several improvement strategies were proposed. These include implementing a Just-In-Time (JIT) system to reduce inventory waste, adopting the First-In-First-Out (FIFO) inventory method for better material rotation, and conducting targeted technical training for operators to minimize human error. In the Control phase, the study suggests process standardization, routine inspections, and continuous monitoring as key practices to ensure that improvements are sustained over time. The findings and recommendations from this study are expected to contribute to better quality control, reduced operational waste, and enhanced productivity in the packaging printing process. Ultimately, this approach aims to strengthen PT XYZ’s competitiveness in the printing industry by fostering a culture of continuous improvement and quality excellence.

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.