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This study aims to analyze the role of the tally man at PT. Gelora Perkasa Belawan in supporting the effectiveness and smoothness of loading and unloading processes at Belawan Port. As the front line in cargo supervision, the tally man bears a crucial responsibility for recording the quantity, condition, and types of goods, which serve as the primary data for company reports. The research method employed is descriptive qualitative, with data collection techniques involving field observations, interviews with operational staff, and literature reviews conducted during the internship period. The findings indicate that while the tally man performs a vital function as a supervisor and data recorder, their performance is often hindered by high workloads and a limited number of personnel. The main obstacles identified include dual responsibilities, which lead to decreased data accuracy and risks of operational delays due to physical fatigue. Optimization efforts are carried out by increasing personnel during peak hours and improving accuracy in validating cargo documents. The study concludes that strengthening the tally man's role through better workload management is essential for ensuring logistical reliability and the efficient flow of goods at the port.

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.

Efforts to protect children who are victims of sexual violence crimes in Mesuji Regency have been carried out through the establishment of the Regional Technical Implementation Unit for the Protection of Women and Children (UPTD PPA). However, in practice, cases of sexual violence against children continue to occur. This study aims to analyze the role of the UPTD PPA of Mesuji Regency in fulfilling the rights of child victims of sexual violence crimes and to identify the factors that hinder the implementation of this role. This research employs normative juridical and empirical approaches. Data were collected through literature review and field studies, with informants consisting of the Head of the Mesuji Regency Office for Women’s Empowerment and Child Protection, the Head of the UPTD PPA of Mesuji Regency, and a lecturer in criminal law from the Faculty of Law, University of Lampung. Data analysis was conducted qualitatively. The results show that, normatively, the role of the UPTD PPA of Mesuji Regency has been implemented based on the prevailing laws and regulations, including the Child Protection Law, the Law on Sexual Violence Crimes, and regulations concerning the UPTD PPA. Factually, the UPTD PPA carries out preventive, handling, and recovery efforts through legal, medical, and psychological protection for child victims. However, the implementation of this role has not been optimal due to several inhibiting factors, namely limitations in human resources, inadequate facilities and infrastructure, low community participation and awareness, and cultural factors characterized by individualism. This study recommends optimizing the performance of the UPTD PPA through improvements in human resources, facilities and infrastructure, and strengthening community involvement in child protection.

Focusing on Yuli Bakery, this study aims to examine in depth how production planning budgets and cost effectiveness influence business profitability, particularly in the food and bakery industry sector. This research is based on the assumption that effective production planning can optimize the utilization of available resources, minimize raw material waste, and establish more efficient and structured business operational performance. The study explores the implementation of labor management, raw material management, and production process control oriented toward cost efficiency without reducing product quality, thereby enabling sustainable profitability improvement. The results of the analysis show that Yuli Bakery successfully reduced its cost of goods sold (COGS) by IDR 12,800,000, which directly contributed to an increase in operating profit and gross profit. This cost reduction did not affect overall production volume nor generate additional expenses in other cost components. These findings indicate that even in the absence of significant revenue growth, cost optimization through proper production planning can make a substantial contribution to improving Yuli Bakery’s profitability.

This article examines the digitalization of Islamic education management in the Industry 5.0 era by emphasizing a shift from mere “digital administration” to value-based governance. The focus goes beyond adopting applications; it highlights a deeper transformation in how institutions manage processes, data, services, and decision-making to enhance effectiveness, accountability, and alignment with the broader purposes of Islamic education. The article synthesizes key pillars of transformation, including system integration across academic, financial, and learning services, strengthened data governance, capacity building for human resources, and cultural change management. While digitalization may improve efficiency and transparency, the article also discusses recurring risks such as digital divides, organizational resistance, vendor dependency, and ethical/privacy concerns, along with practical mitigation strategies. The main contribution is a conceptual governance framework that connects service performance indicators with institutional values, enabling digital transformation to remain meaningful, trustworthy, and sustainable rather than purely technical or procedural.

This study analyzes the strategic role of quality-based marketing models in enhancing the competitiveness of kombucha products, with a specific focus on Rumah SCOBY DBA, produced by the Yayasan Dharma Bintang Akademia. By integrating Total Quality Management (TQM), Quality Assurance (QA), and Quality Control (QC), the research explores how quality-driven frameworks contribute to marketing effectiveness, consumer trust, brand positioning, and sustainable performance in the functional beverage industry. Employing a Systematic Literature Review (SLR) combined with conceptual analysis, the study systematically examined publications from 2015 to 2025 across leading academic databases, focusing on themes of quality management, functional beverage marketing, kombucha production, consumer behavior, and digital strategies. The findings reveal that product quality—characterized by fermentation stability, microbiological safety, and nutritional consistency—serves as the primary driver of consumer purchase intention. Process quality, through standardized SOPs, hygiene protocols, and traceability systems, reinforces credibility, while service quality, including transparent labeling, health education, and digital engagement, strengthens brand trust. Integrating TQM principles into marketing fosters consumer loyalty, differentiates brands in competitive markets, and supports long-term sustainability. This study provides practical guidance for producers, community-based enterprises, and policymakers to adopt quality-driven marketing models, offering a novel conceptual framework tailored to kombucha products and mapping future research directions in functional beverage innovation.

This study aims to analyze the influence of the work environment and job satisfaction on employee performance at PT Tirtakencana Tatawarna in Karawang. The study employed a qualitative approach with descriptive methods to gain an in-depth understanding of employee perceptions and experiences regarding their working conditions. Informants were selected using purposive sampling, with the criteria being employees who had worked for at least one year and were directly involved in the company's operational activities. Data collection was conducted through in-depth interviews supported by documentation studies. Data analysis was conducted through data reduction, data presentation, and conclusion drawing, with data validity tested using source triangulation. The results indicate that a conducive work environment, both physical and non-physical, and a good level of job satisfaction have a positive effect on employee performance. A comfortable work environment and harmonious working relationships can increase employee motivation and effectiveness, while job satisfaction fosters a positive attitude and responsibility in completing tasks. Thus, the work environment and job satisfaction play a significant role in improving employee performance at PT Tirtakencana Tatawarna in Karawang.

The increasing intensity of traffic object movement in urban areas has not been accompanied by adequate road infrastructure, resulting in traffic congestion, air pollution, and a higher risk of traffic accidents. One of the primary causes of accidents is traffic violations, particularly wrong-way driving behavior. This study develops a video-based automated traffic violation detection system using the YOLOv5 algorithm. A computer vision approach is employed to detect, classify traffic objects, and count wrong-way violations in real time. Due to limited access to real-world traffic violation footage, simulated traffic scenarios are used as testing data. The system is evaluated on four traffic object classes: motorcycles, cars, buses, and trucks. Experimental results demonstrate strong performance, achieving a precision of 90%, a recall of 92%, and an F1-score of 91%, while the traffic object counting accuracy reaches 89%. These findings indicate that the proposed system has significant potential to support traffic analysis and assist authorities in making more effective decisions to reduce congestion and traffic accidents.

This research aims to design and develop a decision support system to determine the recipients of assistance in the Family Hope Program (PKH) in Pogo Tena Village. This system uses the (Technique for Order Preference by Similarity to Ideal Solution) method which aims to assist decision-makers in selecting families who meet the criteria to receive social assistance based on several predetermined factors, such as income level, number of family dependents, health conditions, and education. The method used in this study is a qualitative and quantitative method with a case study approach on PKH Pogo Tena Village. Data was obtained through interviews with related parties, field observations, and data collection from existing documents. In this system, the assessment is carried out by comparing alternative performance values based on pre-established criteria, and then using the TOPSIS method to determine the families who are eligible for assistance. The results of this study show that the designed decision support system can provide more objective and transparent recommendations for aid recipients. Using the TOPSIS method, the system can prioritize beneficiaries based on their proximity to the ideal solution, which helps minimize subjective errors in the beneficiary selection process. This research is expected to contribute to increasing the effectiveness and efficiency in the implementation of the Family Hope Program in Pogo Tena Village, as well as as a reference for other agencies that want to apply similar methods in social assistance programs.

Tax Management refers to a company’s efforts to manage its tax obligations efficiently and legally in order to optimize net income. This study aims to examine the effect of Fixed Asset Intensity and Leverage on Tax Management, with Profitability as a moderating variable, in mining companies listed on the Indonesia Stock Exchange (IDX) for the 2021–2024 period. This research is conducted because tax management practices are considered to potentially influence corporate profitability and financial performance. The study is grounded in Agency Theory and employs a quantitative approach. The sample was selected using purposive sampling, resulting in 28 companies observed over four years, with a total of 112 secondary data observations obtained from annual reports or financial statements. Data analysis was performed using EViews 13 with a Moderated Regression Analysis (MRA) approach. The findings indicate that: (1) Fixed Asset Intensity has no significant effect on Tax Management; (2) Leverage has a significant negative effect on Tax Management; (3) Profitability does not moderate the relationship between Fixed Asset Intensity and Tax Management; and (4) Profitability strengthens the effect of Leverage on Tax Management.

This study aims to analyze the integration of Human Resource (HR) Analytics as a strategic approach to enhancing employee experience in organizational settings. The growing complexity of the business environment and the increasing demand for data-driven decision-making have encouraged organizations to utilize HR Analytics in managing human resources more effectively. This research employs an integrative literature review method to synthesize findings from previous empirical and conceptual studies published between 2014 and 2024. The review process was conducted systematically through article identification, selection, thematic analysis, and synthesis of findings. The results indicate that HR Analytics contributes positively to employee experience by improving employee engagement, performance management, and retention strategies. Furthermore, organizational culture, leadership commitment, and technological readiness are identified as key moderating factors influencing the successful implementation of HR Analytics. This study provides theoretical contributions by strengthening the conceptual relationship between HR Analytics and employee experience, as well as practical implications for organizations seeking to design data-driven human resource management strategies.

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.

This research seeks to investigate the effects of work discipline, work ethic, and work motivation on employee performance at BPR Adi Sedana Ayu. The study is motivated by existing challenges, including insufficient discipline, reduced work enthusiasm, and limited employee motivation, which negatively affect organizational performance. A quantitative research design was applied, involving a saturated sampling technique with 35 employees as respondents. Data were gathered through structured questionnaires and analyzed using multiple linear regression to evaluate both partial and simultaneous influences. The results demonstrate that work discipline, work ethic, and work motivation exert a positive and statistically significant impact on employee performance, both individually and jointly. Based on these findings, the study emphasizes the need for improved supervision, the development of a constructive work culture, and the enhancement of employee motivation through performance-based incentives, career development opportunities, and a supportive work environment. Therefore, this study emphasizes the importance of better supervision, the formation of a positive work culture, and strengthening employee motivation through providing incentives, career development, and creating a supportive work environment.

Labor productivity is a critical factor in construction project success as it directly affects time, cost, and work quality. In the Palm Vista Residence housing development project, delays in ground floor structural works indicate suboptimal human resource performance. This study aims to analyze labor productivity levels, identify factors influencing productivity, and formulate strategies to improve productivity in sloof beams, columns, and floor slab works. The research employs a quantitative approach with descriptive-analytical methods through field observations, questionnaires, and interviews. Labor productivity is measured using the work sampling method and the Labour Utilization Rate (LUR), while influencing factors are analyzed using multiple linear regression. Strategy prioritization for productivity improvement is determined using the Analytical Hierarchy Process (AHP). The results show that labor productivity is at a moderate level and is significantly influenced by work experience, managerial aspects, and coordination and planning. The priority strategies include improving worker competence and strengthening project management practices. These findings are expected to provide practical guidance for construction labor management to enhance efficiency and ensure timely project completion.

The acceleration of stunting reduction in Ponorogo Regency faces challenges regarding the complexity of the issue and regional fiscal constraints, necessitating strategic cross-sectoral collaboration. This study aims to evaluate the synergy of Bank BCA's Corporate Social Responsibility (CSR) program through the "Bakti BCA" scheme in supporting local government policies related to specific and sensitive nutrition interventions. This research employs a qualitative approach with a case study design. Data collection was conducted through in-depth interviews with key informants from Bank BCA Ponorogo management, Bappeda, the Health Office, and beneficiary families, complemented by participatory observation and a review of the Regional Action Plan (RAD) documents. Data analysis was performed interactively by integrating the Collaborative Governance framework from Ansell and Gash, William N. Dunn's six policy evaluation criteria, and Mark Moore's Public Value concept to analyze the dynamics of cooperation and program performance achievements. The results indicate that the established synergy meets the criteria of appropriateness and effectiveness, where CSR interventions successfully bridged the gap in sanitation services and nutritional fulfillment in stunting locus villages uncovered by the regional budget (APBD). This collaboration proved successful in creating public value in the form of improved physical health status of toddlers, regional budget efficiency, and high community responsiveness. It can be concluded that this strategic partnership effectively accelerates the achievement of stunting reduction targets through equitable resource distribution. This study recommends that private sector engagement be formally integrated from the development planning deliberation (Musrenbang) stage to ensure long-term impact sustainability.

The retail industry generates an extremely large and continuously growing volume of transactional data along with the advancement of digital technology, thereby requiring sophisticated and systematic data analysis approaches to support effective and evidence-based business decision-making. This study aims to analyze retail sales data by utilizing the Retail Sales Dataset obtained from the Kaggle platform, which consists of 100,000 transaction records and broadly represents the characteristics of retail transactions. The main focus of this study is to classify product categories and predict customer segments, including the identification of high-spending customers (high spenders), based on demographic attributes such as age and gender, as well as various transaction-related features. The research methodology includes data preprocessing, label encoding, and feature engineering to generate additional variables, including Age_Group, Is_Holiday, and Spender_Group, which are expected to enhance the predictive capability of the models. Several machine learning algorithms, namely Decision Tree, Random Forest, and XGBoost, were implemented and evaluated to compare their respective performance. The experimental results indicate that multiclass product category classification achieves relatively low accuracy, ranging from 27% to 34%. These findings suggest the high complexity of retail data and highlight the need for further model optimization, class balancing techniques, and feature refinement to improve predictive performance in future studies.

Trust among educators constitutes a critical social capital that underpins organizational effectiveness in higher education institutions. This study investigates the impact of trust erosion among educators on the decline in the achievement of Key Performance Indicators (KPIs/IKU) in higher education. The central problem addressed in this research is the weakening of academic collaboration, reduced engagement in the tridharma of higher education, and the emergence of latent conflicts that negatively affect KPI achievement, particularly in lecturer performance, research collaboration, and the implementation of the Merdeka Belajar–Kampus Merdeka (MBKM) policy. This study aims to analyze the relationship between the level of trust among educators and institutional KPI performance, as well as to identify the organizational and social mechanisms underlying this phenomenon. A mixed-methods explanatory design was employed, combining quantitative survey data with in-depth interviews and institutional performance document analysis. The findings reveal a significant negative correlation between trust erosion and KPI achievement. The study concludes that strengthening organizational trust is a strategic prerequisite for sustaining and improving higher education performance.

This study aims to determine the extent to which professional competence and personality competence influence teacher performance at SMAN 1 Sangatta Selatan. This research is categorized as field research using a quantitative approach. Data were collected through questionnaires to obtain responses from participants, observations to directly monitor activities, and documentation techniques to gather supporting data. The population in this study consisted of 33 teachers at SMAN 1 Sangatta Selatan. The sample was determined using the Slovin formula, resulting in 33 respondents, all of whom were teachers from the same school. To analyze the data, multiple linear regression analysis was employed. The results showed that professional competence significantly influences teacher performance. The influence of professional competence (X1) on teacher performance (Y) was 7.2%, while the influence of personality competence (X2) on teacher performance (Y) reached 4.5%. The coefficient of determination (R²) value was 0.807, indicating that 80.7% of teacher performance at SMAN 1 Sangatta Selatan is jointly influenced by professional competence (X1) and personality competence (X2), while the remaining 19.3% is influenced by other variables not examined in this study. Based on the analysis, personality competence was found to have a more significant simultaneous effect on teacher.    

Curriculum and education is an inseparable relationship because the curriculum is very important in education, if there is no curriculum then education will not be realized because the curriculum is a guideline for the maintenance of education in addition to that the curriculum is always adapted to the existing situation and circumstances. One of the educational institutions that are active in applying K-13 is MA Putri 1 Al-Amien Prenduan, where this institution is under the umbrella of Al-Amien Prenduan Pesantren Pondok. Pondok Pesantren Al-Amien Prenduan is composed of 4 parent institutions, namely Tarbiyatul Banaat Diniyah Al-Amien (TIBDA), Madrasah Tsanawiyah Al-Amien (MTsA) accredited status in 2005, Madrasah Aliyah Al-Amien (MAA) accredited status in 2004, Madrasah Aliyah Skills (MAK), and the Middle School of Information Technology (SMK IT) established in 2008. This study uses a qualitative-descriptive approach. As for the data collection technique in this research, it is using methods of interview, observation and documentation. The interview method used is a structured interview to extract detailed data from the source. From the findings in the field obtained based on the results of interviews, documentation, and observations can be concluded into several points: 1) the K13 learning plan in improving student performance performed by the teacher is by first mapping the KD by establishing the theme that is in the teacher's book. 2) K13 learning process in improving student learning performance more emphasizes cognitive aspects with emotional, and psychomotor support. 3) Authentically evaluate in K13 learning to improve this student’s learning performance using various techniques and starting instruments

Stocks represent a capital market instrument with the potential to generate high returns. When making investment decisions, investors typically assess various internal aspects of a company, including its financial performance. The objective of this study is to examine the influence of profitability, liquidity, and leverage ratios on stock prices in the Indonesian banking sector, with a particular focus on state-owned banks, in both partial and simultaneous regression models. The methodology employed is quantitative analysis, with a secondary data set being utilized. The sample was determined using a purposive sampling technique, covering four state-owned banks (BRI, BNI, Mandiri, and BTN) for the 2010-2024 period. The findings of the analysis demonstrate that profitability and leverage exert a substantial negative influence on the stock prices of these banking institutions, while the liquidity ratio does not demonstrate a significant effect. Concurrently, all three variables exert an influence on stock prices, with an R-squared value of 58%.