Publication Search

This study aims to systematically analyze the influence of Work Family Conflict (WFC) and Work Life Balance (WLB) on employee performance through a Systematic Literature Review (SLR) approach. The increasing demands of work and family roles in modern organizational settings make these variables highly relevant in organizational behavior research. The SLR procedure was conducted based on guidelines by Kitchenham and Wahono, consisting of planning, conducting, and reporting stages. Literature searches were performed across several academic databases, including Google Scholar, Garuda Ristek, ResearchGate, and university journal portals, covering publications from 2020 to 2025. From a total of 5,992 identified articles, 28 studies met all inclusion and quality criteria and were reviewed in depth. The findings indicate that Work Family Conflict consistently exerts a negative effect on employee performance by increasing stress, reducing concentration, and impairing psychological well-being. Conversely, Work Life Balance demonstrates a significant positive influence on performance, as employees who successfully balance their professional and personal responsibilities tend to exhibit higher productivity, job satisfaction, and engagement. Furthermore, factors such as organizational support, flexible working arrangements, and job satisfaction are shown to mediate or moderate the relationship between WFC, WLB, and employee performance. This study contributes by mapping the latest empirical patterns and providing recommendations for organizations to develop supportive work policies that enhance employee well-being and sustainable performance.

In an increasingly competitive workplace, employee performance is one of the important factors determining a company’s success. PT Gadjahmada Nusantarajaya, a company engaged in the service and trade sector, faces the challenge of maintaining and improving its employees’ performance. Internal factors such as organizational culture, work communication, and work discipline are thought to have a significant influence on employee performance. Based on this, this study was conducted to determine the influence of organizational culture, work communication, and work discipline on employee performance at PT Gadjahmada Nusantarajaya. The research questions in this study are: (1) Does organizational culture influence employee performance? (2) Does work communication influence employee performance? (3) Does work discipline influence employee performance? and (4) Do organizational culture, work communication, and work discipline simultaneously influence employee performance at PT Gadjahmada Nusantarajaya? This research is quantitative. Data were obtained through primary data collected using a questionnaire, as well as secondary data from company documents. The study population was all 49 employees of PT Gadjahmada Nusantarajaya. The sampling technique used saturated sampling; thus, the entire population was used as the research sample. Data analysis used validity tests, reliability tests, classical assumption tests, multiple linear regression analysis, and hypothesis tests (t-tests and F-tests). The results showed that partially (t-tests) the variables of organizational culture, work communication, and work discipline had a significant effect on employee performance. Simultaneously (F-tests), these three variables also had a significant effect on employee performance at PT Gadjahmada Nusantarajaya.

This study presents a meta-analysis of open-access accounting information systems (AIS) literature in Indonesia during the digital transition period of 2015-2025. The primary objective is to identify and map the taxonomy of Independent Variables (X) and Dependent Variables (Y) predominantly used in academic and practical research. Through a systematic review of 15 key accredited articles with Digital Object Identifiers (DOI), this research finds that AIS success determinants (Variable X) have evolved from purely technical factors to integrative clusters encompassing Human Capital (competence, training), Organizational (culture, management commitment), and Technological (infrastructure, internal control) aspects. Meanwhile, Dependent Variables (Y) have shifted from mere technical user satisfaction to strategic impacts such as financial report quality, operational efficiency, and MSME business performance. These findings indicate that AIS research in Indonesia is heavily influenced by public sector regulatory contexts and cloud technology adoption in the MSME sector. This report serves as a reference framework for future researchers to explore emerging variables such as artificial intelligence and cybersecurity behavior within the accounting ecosystem.

As the center for employee competency development, BSI Corporate University (BSU) plays a crucial role in strengthening BSI’s competitiveness within Indonesia’s rapidly growing Islamic banking industry. BSU’s performance from 2021 to 2023 experienced fluctuations, indicating the need for an evaluation of factors influencing employee performance. Previous studies have also shown inconsistent findings regarding the influence of Islamic Work Ethics and AKHLAK core values on performance, thereby creating a research gap. This study aims to examine the influence of Islamic Work Ethics and AKHLAK core values on employee performance at BSU. Data were collected through a quantitative survey of BSU employees, resulting in 60 valid responses, and analyzed using SmartPLS 4.1.1.2. The research employed a descriptive quantitative approach with Partial Least Squares Structural Equation Modeling (PLS-SEM) as the analytical technique. The findings indicate that Islamic Work Ethics and AKHLAK core values have a positive and significant influence on employee performance.

Traffic congestion is a persistent challenge in urban areas in Indonesia, where increasing vehicle density creates the need for intelligent traffic monitoring systems. This study aims to develop a real-time vehicle parking system using the YOLOv8 object detection model to provide efficient traffic analysis from live CCTV broadcasts and recorded videos. This study uses a quantitative experimental approach with the implementation of the YOLOv8m model using the Ultralytics library in Python, tested on data collected from CCTV cameras A TCS Dishub Medan and additional footage from mobile devices. Vehicles are detected and counted in two directions up (Up) and down (Down) using virtual detection lines on the video frame. The system performance is evaluated by automatic detection counting with manually recorded ground truth data. The results show that on live CCTV broadcasts, the YOLOv8m model achieves an average precision of 98.96%, a recall of 96.59%, and an F1 score of 97.74% for upstream traffic, while for downstream traffic it achieves 100% precision, 95.64% recall, and an F1 score of 97.730/0. On the other hand, on high-quality recorded videos, all performance metrics achieve 100%, indicating perfect detection accuracy. These findings confirm the effectiveness of YOLOv8 in real-time traffic monitoring, but also indicate that video quality and stream stability affect detection performance. In conclusion, the developed system shows strong potential to support smart city traffic management solutions. Future research should focus on performance optimization under low-resolution live streaming conditions to improve accuracy in practical applications.  

A wall follower robot is a type of autonomous robot that is designed to move by following a wall at a certain distance. This research aims to design and build a Wall follower robot equipped with a Fuzzy-PID control system to improve navigation performance. The robot uses five HC-SR04 ultrasonic sensors to detect the distance to the wall and the surrounding obstacles. The data from the sensor is then processed by a Fuzzy-PID algorithm that combines the advantages of conventional PID control with fuzzy logic, resulting in a more adaptive response to environmental conditions. The test results showed that the robot with Fuzzy-PID control was able to maintain the stability of the distance to the wall more consistently compared to the pure PID control. In addition, the system exhibits better adaptability to complex environmental conditions, such as sharp turns, uneven wall surfaces, and the presence of resistance variations. The application of Fuzzy-PID control has been shown to improve the stability, response speed, and accuracy of the robot's navigation. These findings are expected to contribute to the development of robotic navigation systems for a wide range of practical applications, including automated cleaning robots, environmental exploration, and industrial systems that require reliable autonomous mobility.

Gestational Diabetes Mellitus (GDM) is a pregnancy-related metabolic disorder that poses health risks to both mother and fetus if not detected early, requiring accurate prediction methods for early screening and clinical decision-making. This study applies the Random Forest algorithm to detect GDM risk using clinical data from the Pima Indian Dataset. Data preprocessing included handling missing values, standardization, feature engineering, and a 70:30 train–test split. Two models were developed: a baseline and an optimized model using GridSearchCV hyperparameter tuning, validated with 5-fold cross-validation. Performance was assessed using a classification report, confusion matrix, and ROC–AUC. Results show that the optimized model outperforms the baseline, achieving 88% accuracy, an AUC of  93%, and average recall of 81%–85%. Compared to previous studies, this approach demonstrates improved predictive performance. The findings indicate that combining Random Forest with comprehensive preprocessing, feature engineering, and model optimization is effective and feasible for developing a medical decision support system for early GDM risk screening.

This study aims to analyze the influence of Innovative Work Behaviour, Upskilling, and Work Ethic on the Health Workers Performance with Intention to Stay as an intervening variable at RSUD Sumberrejo. The background of this research stems from challenges in improving service quality, high workload, and the need to strengthen competency and retention among health workers. The study employs a quantitative approach using a survey method through the distribution of questionnaires, with data analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) through SmartPLS version 4.0. The population consists of 216 employees, and the sampling technique used is non-probability sampling, resulting in 140 respondents. The findings reveal that Innovative Work Behaviour, Work Ethic, and Intention to Stay have a significant positive effect on the performance of health workers. In addition, Innovative Work Behaviour and Work Ethic significantly influence Intention to Stay. However, Upskilling shows a positive but non-significant effect on both Intention to Stay and Performance, indicating that skill enhancement requires managerial support and motivation to contribute effectively to employee performance. Intention to Stay serves as a mediating variable in several relationships among the constructs. Strengthening innovative behaviour, work ethic, and competency development, accompanied by appropriate retention strategies, is essential for improving the performance of health workers in regional hospitals. Future studies are recommended to develop the research model by incorporating additional variables that may have stronger effects on Intention to Stay and Performance.

This study aims to examine the effect of employee competence, behavioral control, and trust on employee performance at the Bojonegoro District Health Office with Organizational Citizenship Behavior (OCB) as an intervening variable. The background of this study is related to the importance of employee performance in achieving public service organizational goals, particularly in the health sector. This study uses an explanatory quantitative method with a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach. The research sample consisted of 100 employees at the Bojonegoro District Health Office. The results of the analysis show that the influence of employee competence on employee performance is not significant, but employee competence has a significant influence on OCB. Behavioral control has a significant effect on employee performance, but its effect on OCB is not significant. Trust has a significant effect on OCB, but its direct effect on employee performance does not. OCB is proven to have a significant effect on employee performance. Therefore, OCB plays an important role as a mediator in improving employee performance. This study provides a theoretical contribution by clarifying the relationship between variables in the context of public service-based government organizations. In practical terms, the results of this study are expected to form the basis for recommendations to improve the quality of human resources and develop managerial strategies at the Bojonegoro District Health Office in order to support the effectiveness and efficiency of public services.

This study aims to analyze the application of accounting according to PSAK 65 concerning consolidated financial statements to assess the company's financial performance at PT Warung Begok Indonesia. The object of this study is a company in the field of processed livestock manufacturing for the period 2023-2024. The data in this study are primary data sourced from the annual financial reports of the head office and branches. The total sample in this study was 3 company financial reports. Data collection techniques used interviews and documentation. The hypothesis in this study was tested using descriptive analysis techniques. Based on the data analysis carried out in this study, it shows that the financial statements before and after consolidation have an effect on the assessment of the company's financial performance. This study contributes to increasing knowledge and understanding of the head office and branch consolidated reports according to PSAK 65, and can assess the company's financial performance. Although the consolidated report has been carried out, it is hoped that the company will continue to apply controls and policies in its implementation, because this can affect the assessment of the company's financial performance so that it will be useful in decision making.

This study aims to determine the relationship between learning motivation and learning outcomes in SMAW welding engineering among eleventh-grade students at SMKN 2 Solok. This research employed a quantitative method with a correlational approach. The population consisted of all students from classes XI TPM 1 and XI TPM 2, totaling 51 students, using a total sampling technique. Learning motivation data were collected through a validated and reliable questionnaire, while learning outcome data were obtained from post-test scores in the SMAW welding subject. Data were analyzed using the Pearson Product Moment correlation test with the assistance of SPSS software. The results showed a correlation coefficient of r = 0.783 with a significance value of 0.000 < 0.01, indicating a strong, positive, and statistically significant relationship between learning motivation and students’ learning outcomes. These findings suggest that higher learning motivation leads to better learning outcomes in SMAW welding engineering. Therefore, learning motivation plays an important role in improving students’ academic performance. This study is expected to provide useful insights for teachers and schools in developing instructional strategies that enhance students’ motivation and learning outcomes.

Local governments in Indonesia rely significantly on local tax revenues to strengthen fiscal independence and sustain regional development. Among these revenue sources, the Motor Vehicle Tax (PKB) and the Motor Vehicle Transfer Fee (BBNKB) play a vital role in shaping regional fiscal capacity. This study explores how both taxes contribute to the Regional Own-Source Revenue (PAD) of Central Java Province during the 2020–2024 period. Drawing on quantitative analysis and secondary data from the Central Java Regional Revenue Agency (Bapenda), the research assesses the effectiveness and contribution of PKB and BBNKB in supporting local fiscal performance. The results show that PKB consistently exerts a positive, meaningful influence on PAD, underscoring its central role in sustaining the province’s fiscal strength. In contrast, BBNKB demonstrates a weaker, less stable impact, primarily driven by changes in vehicle ownership trends and administrative challenges. When considered together, both tax instruments contribute to enhancing local fiscal capacity, although the reliance on PKB remains predominant. These findings underscore the importance of modernizing regional tax administration, particularly through digital innovation, transparent reporting systems, and community-based compliance strategies. Strengthening these mechanisms is essential to building a more resilient and autonomous fiscal framework, especially in the context of post-pandemic economic recovery and long-term regional development planning

The development of social media platforms like TikTok has created new spaces for digital economic activities, including the practive of thrifting, which has now become a trend among the public. However, government policies that block these activities have sparked various public reactions. This study aims to analyze public sentiment regarding the issue of thrifting bans on the TikTok platform using the Bidirectional Long Short-Term Memory (Bi-LSTM) method. This method was chosen because it can understand text context from both directions, allowing it to capture deeper semantic meaning. The dataset consist of 4,000 TikTok user comments collected through a crawling process. The research stages include data preprocessing, sentiment labeling, splitting training and test data, training the Bi-LSTM model, and evaluating performance using accuracy, precision, recall, and F1-score metrics. The research results show that the Bi-LSTM model achieved an accuracy of 86.15%, with stable classification performance and minimal error rate. These findings indicate that Bi-LSTM is effective for sentiment analysis of public opinions on Indonesian language social media, particularly on context specific policy issues. Further development can be carried out by adding pre-trained embeddings or attention mechanisms to improve the model’s performance.

The development of renewable energy, particularly Solar Power Plants (PV), requires a reliable, real-time, and easily accessible electrical energy monitoring system to ensure optimal system performance. This study aims to design and implement an Internet of Things (IoT)-based electrical energy monitoring system for PV using the NodeMCU ESP32 microcontroller, the PZEM-004T sensor for measuring electrical parameters, and the Node-RED platform as the data visualization interface. The developed system is designed to monitor voltage, current, power, energy, frequency, and power loss in real time, and then display the data in the form of numerical values, graphs, and indicators on a dashboard accessible through a local network. The research method includes hardware design, software development (sensor reading, data processing, and communication), integration with Node-RED, and system testing on a small-scale PV installation. The test results show that the system is capable of monitoring electrical parameters in a stable and responsive manner. Variations in sunlight intensity were found to affect the current and power produced by the solar panels, whereas the inverter output voltage tended to remain within normal operating ranges. The Node-RED dashboard display was considered informative and helpful for users in monitoring and analyzing PV performance. Based on these results, it can be concluded that the IoT-based electrical energy monitoring system designed in this study functions well and is feasible for application in residential or educational-scale PV installations. The system still has the potential for further development through cloud service integration, the addition of environmental sensors, and enhancements to data analysis features and user interface design.

This study aims to explore the institutional governance and collaboration mechanisms at Indonesia's entry points, emphasising both formal arrangements, such as Memoranda of Understanding, and informal communication channels that facilitate daily operations among Immigration, Customs, Port Authorities, Law Enforcement, and Health Agencies. The research employed qualitative methods, including interviews, observations, and document analysis, grounded in Policy Network theory, to analyse the dynamics of institutional collaboration at entry points. The findings highlight that border oversight effectiveness hinges on inter-agency synergy quality, trust, and the ability to overcome technical and procedural barriers, whilst significant challenges include technological disparity, particularly incompatible data platforms hampering real-time information sharing, and silo mentalities driven by security concerns that impede operational harmonisation, resulting in delays and inefficiencies. Trust mechanisms such as informal communication groups, regular meetings, and leadership support significantly improve coordination and operational performance. The study concludes that sustainable and adaptive governance models characterised by mutual trust, effective communication, and technological integration are essential for enhancing border security and facilitating legal movement. The research underscores the importance of integrating technological systems to ensure interoperability, developing clear cross-agency SOPs, and fostering a collaborative culture that prioritises shared goals over organisational ego. Strengthening institutional collaboration at border crossings will bolster Indonesia's national security, economic growth, and international reputation, and contribute to resilient, efficient border management systems capable of addressing contemporary threats.

This research is motivated by the existence of factors that influence employee performance in a company. The aim of this study is to determine the influence of extrinsic motivation, self-efficacy, and work-life balance on the performance in the 12-cigarette production employees at PT Praoe Lajar Semarang. The population in this study was 120 employees in the 12-cigarette production department at PT Praoe Lajar Semarang. The sample used was purposive sampling, with 60 respondents. The instrument used was a questionnaire and the measurement used a likert scale. The test tool used was SPSS Version 26. Data analysis methods included validity testing, reliability testing, respondent description analysis, multiple linear regression, classical assumption testing, t-test, and coefficient of determination testing. The results indicate that extrinsic motivation has a positive and significant effect on employee performance, indicating that employees are motivated by external influences to improve their performance. Self-efficacy has a positive and significant effect on employee performance, indicating that employees are satisfied with their ability to improve their performance. Work life balance has a positive and significant effect on employee performance, meaning that the higher the work life balance of employees, the better their performance will be.

One of the factors that causes a company to grow is because of the maximum income or profit obtained. When raw material prices rise or there is an increase in labor and overhead costs , the company must incur higher costs to produce products. If this condition s not balanced with selling price adjustments, the profit margin will narrow and net profit will decrease. Net profit is a key indicator that reflects ai company's financial performance. Profit is a basic and important position of the financial overview that has various uses in various contexts, the definition of profit itself is the difference between expenses and income. The effect of production and sales costs on net profit at PT Unilever Indonesia Tbk during the period 2015 to 2022 reflects the complex phenomena faced by the company in carrying out its operations. During this period, PT Unilever faced various challenges organiting from market conditions, changes in rai material prices, and fluctuating consumer demand. The results of this study indicate that: (1) Production costs partially do not have ai significant effect on net profit, this is evidenced by ai significance value of 0.363 > 0.05. (2) Sales partally have ai significant effect on net profit, this is proven by ai significance value of 0.035 < 0.05. (3) Production and sales costs simultaneously haive ai significant effect on net profit, this is proven by ai significance value of 0.000 < 0.05. (4) The influence of the independent variables of production and sales costs on the dependent variable of net profit is 89.3%, while the remaining 10.7% is influenced by other factors outside this reseairch model.

Human resource development is the process of preparing individuals to take on higher or different responsibilities within an organization, including enhancing intellectual abilities to support efficient task performance. This study aims to determine the extent to which human resource development contributes to improved employee performance at the East Lombok Regency Health Office. The qualitative, descriptive approach involved eight informants, consisting of officials familiar with the implementation of human resource development and staff who had participated in the program. The results indicate that education and training conducted by the East Lombok Regency Health Office have supported improved employee performance, as evidenced by more structured task implementation, public health monitoring surveys, and a decrease in maternal and infant mortality rates. However, in terms of human resource management, there are still shortcomings, with an average of 28 health workers per health facility, both civil servants and non-civil servants, reflecting an imbalance in workforce needs. Furthermore, the implementation of human resource development is supported by leadership commitment, inter-agency collaboration, and budget support from the provincial and central governments. However, it is hampered by limited qualified personnel, frequent policy changes, and the impact of natural disasters.

This research examines the implementation of green building principles in the design of the Multipurpose Building at SMP–SMA Islam Hidayatullah Semarang, focusing on energy-efficient strategies and spatial comfort based on the GREENSHIP GBCI certification criteria. The study employs a qualitative descriptive method through interviews with the architect, analysis of architectural drawings, interpretation of interior design visualizations produced by Falana Studio, and literature review on sustainable building design. The findings indicate that the building consistently applies passive design strategies, including the optimization of natural lighting through large openings and a central void, the application of cross-ventilation on each floor, and the integration of façade vegetation that reduces surface temperature and improves microclimate performance. Material selection such as GRC panels, HPL, and modular plywood supports long-term durability, while the interior design demonstrates strong visual comfort and ergonomic quality through indirect lighting, neutral color schemes, and activity-based furniture layout. According to the GREENSHIP assessment categories, the building fulfills Energy Efficiency and Conservation (EEC), Indoor Health and Comfort (IHC), Material Resources and Cycle (MRC), and Appropriate Site Development (ASD) criteria. In conclusion, the Multipurpose Building successfully integrates green building principles as an effective approach to energy efficiency and the enhancement of the educational environment.

This study aims to provide a comprehensive understanding of how psychological well-being (PWB) influences employee performance through a Systematic Literature Review approach. By analyzing a range of relevant and open-access studies, this review synthesizes key findings to identify patterns that explain the relationship between psychological well-being and work outcomes. The analysis reveals that PWB is a crucial internal factor shaping productive, stable, and consistent employee behavior. Individuals with higher levels of psychological well-being tend to demonstrate stronger motivation, higher discipline, and better adaptability when facing pressure or organizational changes. Beyond its direct influence, PWB also acts as a connecting variable between other determinants such as job satisfaction, work-life balance, and organizational support and improved performance. Overall, the review highlights that psychological well-being is not merely a personal condition but a strategic resource that significantly contributes to long term organizational productivity. Therefore, enhancing employee well-being should be integrated into human resource management practices as both a preventive measure and a long term capacity building strategy.