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The development of digital services by BPJS Ketenagakerjaan through the JMO (Jamsostek Mobile) application has triggered a surge in large-scale and unstructured user reviews on the Google Play Store, thereby complicating manual analysis and conventional sentiment analysis in accurately identifying specific issues. This research aims to implement the Aspect-Based Sentiment Analysis (ABSA) method to granularly evaluate JMO application reviews based on specific aspects, while simultaneously addressing class imbalance and computational efficiency issues. The proposed method combines the pretrained IndoBERT model as a contextual feature extractor, the SMOTE technique to balance the training data, and an artificial neural network (Neural Network) as the classification layer without performing full fine-tuning. The dataset used consists of 90,268 unique reviews categorized into five main aspects through keyword matching, namely General Satisfaction/Complaints, Performance & Stability, Service & Support, Feature Quality, and UI/UX, with initial lexicon-based labeling using the InSet Lexicon. The research results indicate that the proposed model successfully achieves highly optimal performance with an accuracy rate of 91.81% and a weighted F1-score of 92%. Furthermore, the implementation of SMOTE proved effective in enhancing model reliability on the minority class (negative sentiment), achieving an F1-score of 89%. The implications of this research contribute an accurate and efficient aspect-based sentiment analysis framework for developers, and serve as a strategic evaluation tool for BPJS Ketenagakerjaan in mapping specific user complaints to accelerate continuous improvements in the performance, stability, and service quality of the JMO application.

This study analyzes the governance performance of information systems at the Career Center of Universitas Muhammadiyah Jambi using the COBIT 2019 framework. The primary objective is to evaluate the maturity level of IT governance and provide recommendations to enhance the efficiency and effectiveness of information systems in supporting the institution’s strategic objectives. Data were collected through interviews, observations, and questionnaires involving system users and decision-makers within the Career Center. The findings indicate that several areas require greater attention, particularly Managed IT Changes, Managed Risk, and Managed Operations. These domains are considered critical in improving the management and reliability of the existing information systems. The study also identifies several challenges affecting system performance, including limited system integration, insufficient human resources, and the use of outdated technology. Based on these findings, the research recommends strengthening the organizational structure, improving the competence of human resources, and optimizing IT processes in accordance with COBIT 2019 standards. Implementing these improvements is expected to increase IT governance maturity, enhance service quality for students and alumni, and better support the university’s strategic development goals.

This study aims to design and develop a functionally efficient and operationally effective Internet of Things (IoT)-based air quality monitoring system for radiology departments. The system utilises a DHT22 sensor integrated with an ESP32 microcontroller to monitor the temperature and humidity of diagnostic rooms in real time, and to display the data via the UdaraKu mobile application. The research method employed a quantitative experimental approach focused on measuring system performance, specifically the accuracy of the temperature and humidity sensors. The research model used was the Research and Development (R&D) method, aimed at transforming conventional air quality monitoring in radiology into a real-time digital system based on IoT. The research results indicate that the IoT-based monitoring system is capable of maintaining room temperature and humidity stability within the ideal range, namely 22–24°C and 50–60% RH, in accordance with international standards. This improvement in environmental stability has a direct impact on reducing noise in digital radiography images, as evidenced by an increase in the Signal-to-Noise Ratio (SNR). Instrument validation demonstrated a high level of reliability with a Cronbach’s Alpha value of 0.848, reinforcing the reliability of the data and the system. Overall, the IoT-based air quality monitoring system has proven effective in controlling noise in digital radiography images, improving the quality of diagnostic services, and supporting patient safety principles and operational efficiency within radiology departments.

Ship berthing and departure planning is one of the crucial aspects in supporting the operational effectiveness of shipping companies. This study aims to analyze the important role of planners in ship berthing and departure activities in supporting marketing activities at PT. Nusantara Pasifik Sentosa Belawan. The method used in this research is a descriptive qualitative approach through observation and documentation study. The findings indicate that well-planned and coordinated ship berthing and departure activities provide a significant contribution to customer satisfaction, delivery punctuality, and the company’s image in the eyes of business partners. Effective planning also helps the company maintain service reliability and improve operational efficiency in port activities. However, several obstacles were identified, including lack of coordination between departments, limited information flow, and schedule disruptions caused by external factors such as weather conditions and port congestion. These challenges can affect the smoothness of operational activities and indirectly influence the company’s marketing performance. Therefore, strategies are required to improve human resource competencies, enhance digital communication systems, and strengthen cross-sector collaboration. With a well-structured planning system, PT.Nusantara Pasifik Sentosa is expected to improve its service quality and increase its competitiveness in the national shipping industry.

Advances in information technology have driven the transformation of banking services towards digitalization through mobile banking. Bank Central Asia (BCA), one of the largest private banks in Indonesia, offers m-BCA services to facilitate quick, practical, and efficient customer transactions. However, issues such as delayed notifications, system disruptions, and login problems still exist. This study aims to evaluate m-BCA user satisfaction using the PIECES Framework, which consists of six dimensions: Performance, Information, Economy, Control and Security, Efficiency, and Service. A descriptive quantitative approach was used, with a questionnaire distributed to 105 active m-BCA users in South Jakarta. Data were analyzed using mean values to assess satisfaction levels for each dimension, and validity and reliability tests were conducted. The results showed average scores of 4.02 for Performance, 4.08 for Information, 4.08 for Economy, 4.18 for Control and Security, 4.20 for Efficiency, and 4.09 for Service. The overall score of 4.10 falls into the "Satisfied" category. The highest score was for Efficiency, indicating strong support for users’ banking activities, while the Performance dimension scored lower, suggesting room for improvement. Overall, users are satisfied with m-BCA, but system performance improvements are needed for service stability and sustained satisfaction.

The retail industry is currently facing increasingly intense competition, requiring optimal supply chain efficiency. Warehouses play a strategic role in controlling inventory flows and supporting a company’s operational performance. At K3Mart, stock shortages are still frequently found, caused by low supplier compliance with Service Level Agreements (SLA) and delays in delivery schedules, which negatively affect distribution processes and store service quality. This study aims to analyze the effect of supplier compliance with SLA and delivery timeliness on warehouse operational performance at K3Mart. This research employs a quantitative method by distributing questionnaires to 40 respondents from the warehouse, purchasing, and procurement divisions using a saturated sampling technique. The research instrument uses a Likert scale. Data analysis was conducted using validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-test, F-test, and coefficient of determination with the assistance of SPSS software. The results show that supplier compliance with SLA and delivery timeliness have a positive and significant effect, both partially and simultaneously, on warehouse operational performance. Therefore, improving supplier compliance with SLA and delivery timeliness can enhance optimal warehouse operational performance.

The development of information technology has significantly improved the efficiency of application-based delivery services, including Shopee Partner Driver couriers. However, several issues such as delays in information updates, system errors, and inaccurate delivery data still affect courier performance. This study aims to analyze the effect of Information Quality and System Quality on the Performance of Shopee Partner Driver Couriers in Medan City. This research used a quantitative method with a questionnaire survey distributed to 100 active couriers. The instrument applied a fivepoint Likert scale, and data were analyzed using validity and reliability tests, descriptive statistics, and multiple linear regression analysis with SPSS software. The results indicate that both Information Quality and System Quality have a positive and significant effect on Courier Performance. The coefficient of determination (R²) of 0.625 shows that these two variables explain 62.5% of courier performance variance, while the remaining 37.5% is influenced by other factors. These findings support the DeLone and McLean (2003) model of information system success, emphasizing the importance of system and information quality in enhancing user performance.

The utilization of digital technology in government administration is a critical measure to improve employee performance and the efficiency of public services. However, the effectiveness of implementing this technology is highly determined by the degree to which employees accept the digital systems being used. This study aims to analyze the impact of digital technology acceptance on employee performance at the Mojoroto District Office in Kediri City. The research employs a quantitative method with an explanatory design. Information was obtained through a questionnaire survey distributed to all employees at the Mojoroto District Office, totaling 30 respondents, using total sampling techniques. Indicators of digital technology adoption were evaluated based on perceptions of benefits, operational ease, social pressure, and infrastructural support, while employee performance was assessed according to the quality of work output and responsibilities. Data analysis involved descriptive statistics, validity and reliability tests, and ordinal linear regression. The study findings indicate that digital technology acceptance has a positive and significant influence on employee performance. The coefficient of determination figure reveals that digital technology adoption can explain a large part of the fluctuations in employee performance, with the remaining variation influenced by variables outside the research model. These results imply that the greater the level of digital technology acceptance, the better the resulting employee performance. This study concludes that strengthening digital capabilities, technical guidance, and institutional support are key strategies for enhancing employee performance and public service quality at the district level.

PLN (Persero) is the state-owned company responsible for supplying electrical energy in Indonesia and plays a crucial role in ensuring the reliability and continuity of power distribution. Therefore, all electrical equipment, particularly power transformers, must be maintained in safe and reliable operating conditions. Transformers function to change voltage levels from high to low or vice versa and are essential components in the electric power distribution system. One important transformer component that requires periodic maintenance is the On Load Tap Changer (OLTC). To maintain transformer performance and extend its service life, routine maintenance activities such as OLTC oil replacement are necessary. PT. PLN (Persero) ULTG Rangkasbitung conducts regular OLTC oil replacement twice a year as part of its preventive maintenance program. Transformer oil serves as both an insulating medium and a cooling agent; therefore, its condition greatly affects transformer reliability and operational safety. Degraded oil quality can cause insulation failure and reduce transformer efficiency. This study aims to describe the procedure and implementation of On Load Tap Changer oil replacement at the transformer substation of PT. PLN (Persero) ULTG Rangkasbitung. The research method used is field research, carried out through direct observation and interviews with maintenance personnel. The results of this study are expected to provide a clear understanding of the OLTC oil replacement process, support proper maintenance practices, and emphasize the importance of transformer maintenance in ensuring the reliability and sustainability of the electric power system.

Mining operations rely heavily on the performance and reliability of heavy equipment used in the production process. One of the most important hauling units in open-pit mining is the dump truck, which functions to transport overburden and coal from the mining front to disposal areas. Due to high operational intensity, dump trucks require effective maintenance management to ensure equipment reliability and reduce unexpected downtime. However, maintenance activities are often carried out based only on routine service schedules without analytical planning based on historical data. This study aims to analyze the implementation of forecasting methods in maintenance management to improve the effectiveness of dump truck maintenance planning in mining operations. The research was conducted during field work practice at PT Putra Perkasa Abadi Jobsite BIB, Tanah Bumbu, South Kalimantan. The data used were historical maintenance records of dump truck units obtained from the maintenance department. The research method used a quantitative approach with time series forecasting analysis to identify maintenance patterns and estimate future maintenance needs. The results show that forecasting-based maintenance planning can help companies predict maintenance requirements more accurately and prepare maintenance resources more efficiently. Furthermore, the implementation of forecasting methods can reduce unexpected equipment failures and support operational efficiency in mining activities.

This study provides a comprehensive analysis of the performance of the Travel Document Section at Tanjung Perak Immigration Office within the framework of Public Administration. Employing a qualitative, case-study approach, the research investigates the efficiency, effectiveness, and quality of immigration services, emphasising the application of New Public Management (NPM) principles and Good Governance practices. The findings reveal that while technological innovations such as digital systems (M-Passport and SIMKIM) have successfully improved operational efficiency and reduced physical queues, challenges persist regarding procedural transparency, accountability, and system reliability. Human errors and inconsistent discretion in handling complex documents highlight the need for enhanced capacity building and resource allocation. Moreover, issues of bureaucratic transparency and integrity undermine public trust, underscoring the importance of strengthening internal controls and communication strategies. The study also underscores that service quality is multidimensional, encompassing physical facilities, interpersonal professionalism, and procedural clarity, all of which influence public satisfaction. Despite improvements, the gap between technological efficiency and service effectiveness suggests that further efforts are needed to integrate digital innovations with robust procedural protocols. The research concludes that sustainable performance improvement requires a balanced focus on technological, human, and systemic factors, fostering a culture of transparency, accountability, and continuous development. These insights offer valuable policy recommendations to enhance the robustness and responsiveness of immigration services, ultimately strengthening the legitimacy and trust of government institutions in delivering public services.

This study examines the relationship between service quality and employee performance in influencing customer satisfaction at BPR Dhanatani Cepiring Brebes, a rural bank operating in Central Java, Indonesia. Using a qualitative descriptive approach, the research explores how the bank’s service delivery processes, employee competencies, and organizational strategies collectively shape customer perceptions and loyalty. Data were collected through interviews, direct observations, and document analysis involving both employees and customers. The results reveal that employee performance and service quality exert a significant and interdependent influence on customer satisfaction. Superior service quality characterized by reliability, responsiveness, assurance, and empathy directly enhances satisfaction and customer trust. Meanwhile, high employee performance, supported by adequate training, motivation, and managerial supervision, improves operational consistency and service delivery. However, certain limitations remain, particularly in digital literacy, workload balance, and communication efficiency. The study concludes that sustainable customer satisfaction requires an integrated strategic framework that combines continuous human resource development, performance appraisal, and service process innovation. These findings contribute to the understanding of how rural banking institutions can strengthen customer relationships and competitiveness through a synergy between human capital and service quality management.

This study aims to explain the procedure for processing the Notice of Readiness (NOR) document for coal-carrying vessels at PT. Armada Lintas Baruna Bandar Lampung and to identify the consequences that occur when the NOR is submitted late or contains inaccuracies. As vessels from international shipping companies frequently call at Indonesian ports to transport coal abroad, companies must continuously improve service efficiency and reliability to support national shipping and trade performance. PT. Armada Lintas Baruna plays a key role in managing export vessels, particularly coal carriers, from loading ports to their country destinations, and the NOR serves as a crucial document through which the Ship Master declares that the vessel is fully prepared to load or discharge cargo during the charter period. The NOR service process includes several stages: verification of vessel readiness by the agent, preparation and submission of the NOR document, verification by the port authority, issuance of NOR confirmation, and document closing. Delays or errors in NOR submission can disrupt the vessel’s operational schedule, potentially causing financial losses for shipowners through demurrage charges. This paper employs both field research and library research to provide an in-depth understanding of the NOR service mechanism.

Bus Rapid Transit (BRT) systems play a crucial role in providing efficient and sustainable urban mobility, yet service quality often faces challenges that lead to passenger dissatisfaction. This study focuses on BRT Trans Jateng Corridor 7, which has received a considerable number of complaints regarding service reliability, comfort, and punctuality. The main objective of this research is to improve passenger satisfaction by applying the Six Sigma methodology to identify, analyze, and reduce the root causes of service-related complaints. Using the DMAIC (Define, Measure, Analyze, Improve, Control) framework, data were collected through complaint reports, passenger surveys, and operational performance indicators. Statistical analysis and cause-effect diagrams were employed to pinpoint critical factors influencing complaints, including bus frequency, driver performance, ticketing efficiency, and infrastructure support. The findings indicate that the application of Six Sigma significantly reduced recurring complaints, particularly in the areas of schedule adherence and service responsiveness, leading to measurable improvements in overall passenger satisfaction. The synthesis of results demonstrates that structured quality management approaches such as Six Sigma can effectively enhance public transportation service quality by providing systematic solutions to operational problems. In conclusion, this research highlights the practical benefits of Six Sigma in improving service performance and reducing passenger complaints, offering valuable insights for policymakers and transportation operators seeking to strengthen the quality and sustainability of public transit systems.

This article presents a review study that proposes a blended model combining actual programming techniques with queuing theory to improve the performance and service quality of service systems. The main objective is to design a system that is capable of serving customers as efficiently as possible, using solutions derived from queuing theory to regulate and optimize customer flow, while applying accurate programming methods to ensure that the system operates correctly and in accordance with established standards. The study discusses how these two approaches complement each other and demonstrates that integrating them provides a balance between operational efficiency and the quality of services delivered. To illustrate the effectiveness of this hybrid model, a case study is examined to highlight the practical impact and real-world implications of the proposed framework. Both mathematical formulations and experimental analyses were employed to evaluate the model’s effectiveness. Findings indicate that this combined approach not only enhances system reliability but also provides measurable improvements in customer satisfaction and service outcomes. By offering a structured way to integrate queuing solutions with precise programming, this research contributes to the development of more sustainable and effective service management strategies. The model therefore has significant potential for broader application in industries that rely heavily on service delivery and customer flow optimization.

This qualitative research investigates the critical factors inhibiting ship arrival efficiency and their impact on shipping agency performance at PT. Berkah Tata Baruna Banten Branch. Through comprehensive interviews with maritime professionals, port operators, and agency management, the study examines three primary variables: pilot tugboat services, cargo loading-unloading productivity, and document processing efficiency. Utilizing thematic analysis and narrative synthesis, findings reveal significant operational integration challenges that directly affect agency performance metrics. The research demonstrates that synchronized maritime service delivery substantially influences stakeholder satisfaction and business sustainability. Results indicate that technological integration barriers, communication gaps, and human resource development needs constitute primary obstacles to optimal port performance. Beyond identifying constraints, the study highlights how fragmented coordination between service providers creates inefficiencies that extend vessel turnaround times and increase operational costs. Respondents emphasized that transparent communication channels, standardized documentation procedures, and adequate training programs are essential to building resilient port systems. Moreover, the research shows that investment in digital platforms for real-time data sharing could accelerate clearance processes, while workforce development initiatives would ensure higher service reliability. The study contributes theoretically by developing frameworks of integrated maritime service performance and practically by offering policy-oriented recommendations to strengthen agency competitiveness. Overall, the findings provide valuable insights for stakeholders seeking to enhance Indonesia’s maritime logistics capacity, aligning operational improvements with the nation’s broader economic and global shipping ambitions.

Amid the intense business competition, the quality of human resources has become a crucial element in determining a company's success in achieving its goals. PT XYZ, which operates in the service sector, recognizes that employee performance plays a vital role in supporting productivity and the continuity of its operations. However, the company continues to face several challenges, such as low levels of discipline, fluctuating work motivation, and an unsupportive work environment, all of which have the potential to affect employee performance. The purpose of this study is to examine the extent to which work discipline, employee motivation, and work environment conditions influence employee performance at PT XYZ. This research employs a descriptive quantitative approach using simple linear regression analysis. Data were collected through questionnaires distributed to 90 employees selected using purposive sampling. The research instruments have been tested for validity and reliability, and were found to meet the required testing criteria. The results of the study show that discipline and environment have a positive and significant influence on employee performance. Discipline fosters a sense of responsibility, while a conducive work environment supports comfort and efficiency. These two variables play an important role in enhancing performance. Therefore, it is recommended that the management of PT XYZ continue to instill a culture of discipline and create a supportive work environment to improve productivity and job satisfaction.

This study explores the key determinants of field engineer efficiency in the field service industry by analyzing the impact of self-efficacy, resource management, and time management on operational performance. Employing a quantitative research approach, data were collected using saturated sampling from 102 field engineers and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The measurement model showed robust psychometric properties, satisfying the thresholds for convergent validity, discriminant validity, and internal consistency reliability. The structural model results indicate that all three independent variables significantly influence field engineer efficiency. Self-efficacy was found to have the strongest effect (β = 0.421, p < 0.001), followed by resource management (β = 0.347, p < 0.001) and time management (β = 0.289, p < 0.001). The model accounts for 68.7% of the variance in field engineer efficiency, reflecting strong explanatory power and predictive accuracy. Among these variables, self-efficacy emerged as the most dominant factor, suggesting that field engineers' belief in their ability to perform tasks is a critical driver of operational success. High self-efficacy enhances motivation, resilience, and effective problem-solving under pressure, making it essential in dynamic and unpredictable field environments. Resource and time management also play crucial roles in supporting engineers' ability to complete tasks efficiently by ensuring optimal allocation of tools, equipment, and time. The findings provide practical implications for field service organizations aiming to improve workforce performance. Investing in training programs that strengthen self-efficacy, combined with systematic improvements in resource and time management practices, can significantly enhance operational outcomes. By prioritizing these factors, organizations can boost engineer efficiency, reduce operational costs, and improve service delivery, ultimately gaining a stronger competitive advantage in the industry.

Airports serve as a central hub for air transportation, requiring precise coordination and operations, including ground handling services. One key element is the Ground Support Equipment (GSE) personnel, who are responsible for aircraft support equipment. They must adhere to Standard Operating Procedures (SOPs) to ensure performance meets safety and efficiency standards. However, challenges such as timeliness, procedural discrepancies, and inconsistencies in SOP implementation remain. This study used a quantitative approach with correlational analysis and simple linear regression. The sample consisted of 30 GSE personnel selected through total sampling, and data were collected through a questionnaire that had been tested for validity and reliability. This method aimed to identify the effect of SOP compliance. The results showed that SOP compliance had a positive and significant impact on GSE officer performance at Sam Ratulangi Airport in Manado. The regression coefficient of 0.632 indicates a positive relationship, with a significance value of 0.002 indicating statistical significance. The coefficient of determination (R Square) value of 0.241 indicates that 24.1% of the variation in officer performance can be explained by compliance with SOPs, which indicates that increased compliance contributes positively to their performance.

The adoption of Hospital Information Systems (HIS) is a crucial step toward improving healthcare service delivery, especially in public hospitals in developing countries. RSUD Prof. Dr. H. Aloei Saboe, a referral hospital in Gorontalo, Indonesia, has implemented the SIMRS Khanza system to digitize inpatient registration and medical documentation. However, limited evaluation has been conducted to assess its effectiveness beyond technical performance. This study aims to evaluate the implementation of SIMRS Khanza using the Human-Organization-Technology Fit (HOT-Fit) framework, which examines the alignment between users, institutional support, and system quality. A qualitative descriptive method was employed, involving in-depth interviews, non-participatory observations, and document reviews with eight informants, including medical record officers, system coordinators, and hospital management. The findings reveal that although most users reported improved efficiency and satisfaction, several issues persist: incomplete training, limited adherence to SOPs, and system performance lags during peak hours. Organizational support was present but inconsistent, and documentation policies lacked specificity for digital contexts. Technologically, the system demonstrated stable output, but responsiveness and integration require enhancement. The synthesis of findings suggests that success in HIS implementation is contingent upon not only system reliability but also continuous user engagement, structured training, and dynamic policy support. Therefore, a holistic strategy integrating human, organizational, and technological components is essential to optimize SIMRS performance and sustainability.