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This study aims to analyze the technical and economic impact of power evacuation work on the 20 kV distribution system at PT PLN (Persero) UP3 East Bali. The main problem studied is the high losses and poor voltage profile on the downstream side of the Kintamani feeder. The method used is load flow simulation using ETAP software with a comparative approach to conditions before and after power evacuation. The results showed that the active losses decreased from 1.017 MW to 0.626 MW (efficiency 38.45%), accompanied by an increase in the end voltage from 16.32 kV to 18.72 kV and 19.38 kV, thus meeting the SPLN 1:1995 standard. The reduction in losses resulted in energy savings of 3,425,160 kWh/year. From the economic side, a payback period (PBP) of 1.40 years was obtained, which shows that the project is financially feasible. In addition, the improvement of network performance also contributes to the reliability of the distribution system and the continuity of the distribution of electrical energy to customers. Thus, power evacuation work has been proven to be effective in improving power distribution efficiency, improving voltage quality, and providing significant economic benefits.

Population growth and socio-economic activities increase traffic volume, affecting the performance of the Raden Kusno – A. Djaelani – Sujarwo signalized intersection. This study aims to analyze the intersection’s current performance, estimate its condition over the next five years, and formulate alternative treatment strategies. The research data include geometric characteristics, signal timing, vehicle speed, and traffic volume obtained from CCTV recording over a three-day observation period from moning to evening, as well as population and vehicle data for projection. The intersection performance was analyzed using the PKJI 2023 approach and VISSIM simulation. Under current conditions, the intersection operates at LOS E with delays of 45,12 seconds (PKJI 2023) dan 60,56 seconds (VISSIM). In the five-year projection, delays increase to 48,97 seconds with LOS E (PKJI 2023) and 131,29 seconds with LOS F (VISSIM). Modifying the signal from four to three phases with a 70-second cycle improves the current condition to LOS C, with delays of 24,50 seconds (PKJI 2023) and 29,43 seconds (VISSIM). For the five-year projection, adding a continuous left-turn lane results in LOS D with 27,04 seconds (PKJI 2023) and LOS C with 32,01 seconds (VISSIM).

This stuidy analyzeis thei influieincei of Suistainability Reiport Disclosuirei (SRD), Good Corporatei Goveirnancei (GCG), and company sizei on firm valuiei, with profitability as a meidiating variablei, in food and beiveiragei suibseictor companieis listeid on thei Indoneisia Stock Eixchangei (IDX) duiring thei 2022–2024 peiriod. Data proceissing was peirformeid uising thei SEiM-PLS meithod with thei assistancei of SmartPLS 4.0 softwarei. Thei reiseiarch findings indicatei that SRD doeis not havei a significant impact on profitability, buit contribuiteis significantly positiveily to firm valuiei. Meianwhilei, GCG has a significant neigativei eiffeict on profitability and has no direict eiffeict on firm valuiei. Firm sizei also doeis not affeict profitability, buit has a significant neigativei eiffeict on firm valuiei. Fuirtheirmorei, profitability is provein to havei a positivei and significant eiffeict on firm valuiei and fuinctions as a meidiator in thei reilationship beitweiein GCG and firm valuiei. Howeiveir, profitability doeis not meidiatei thei reilationship beitweiein SRD and firm sizei on firm valuiei. Oveirall, thei reiseiarch reisuilts eimphasizei that profitability is thei main deiteirminant of firm valuiei, whilei SRD has a strongeir impact throuigh reipuitational aspeicts than throuigh improving financial peirformancei.

This study aims to analyze the influence of intellectual intelligence, emotional intelligence, and love of money on the ethical behavior of accounting students. The research method used is a quantitative approach. The population in this study were accounting students from the 2021 and 2022 intakes of Padang State Polytechnic. This study used primary data collected by distributing questionnaires via Google Forms using a purposive sampling technique, resulting in 119 respondents. The data analysis method used multiple linear regression with IBM SPSS Statistics 25 software. The results show that intellectual intelligence and emotional intelligence partially influence the ethical behavior of accounting students, while love of money does not. Simultaneously, intellectual intelligence, emotional intelligence, and love of money influence the ethical behavior of accounting students.

PT Bank Pembangunan Daerah Jawa Timur Tbk (“Bank Jatim”) is a regional-owned company engaged in banking. The main activity of this company is to collect and channel funds and provide other banking services to all customers in the East Java region.  With the tagline "Yang Terbaik Untuk Anda", Bank Jatim maximizes the best potential ranging from services to the provision of products that continue to be developed and created technology-based to achieve BPD Regional Champion. It will not be achieved without the role of optimal human resources. The purpose of this study was to test and analyze the effect of employee empowerment on employee engagement through job satisfaction in employees of the corporate secretary division of Bank Jatim Surabaya Head Office. Where the employee empowerment variable has four indicators, the four of which will be studied, namely sense of meaning, sense of competence, self determination, impact. This research is causality research with a quantitative approach. Sampling technique used saturated samples with a total of 37 respondents in the corporate secretary division of Bank Jatim Surabaya Head Office. The statistical analysis used in this research is partial least square (PLS) with the help of smartPLS 3.0 software. The results of this study explain that employee empowerment has a positive and significant effect on employee engagement, employee empowerment has a positive and significant effect on job satisfaction. Job satisfaction has a positive and significant effect on employee engagement. Job satisfaction is able to mediate the relationship between employee empowerment and employee engagement.

Coal stockpile volume measurement is an essential part of mining production control. This study aims to evaluate the calculation of coal stockpile volume using a Total Station (TS) at PT. Bukit Baiduri Energi, Kutai Kartanegara Regency, East Kalimantan Province, and to assess the accuracy and effectiveness of this method in operational activities. Data acquisition was carried out through direct field measurements using a Total Station with a detailed surface point survey method. The collected data were processed using Minescape 5.7 software to generate a triangulated surface model, and the volume was calculated using the Cut and Fill method. The results show that the Total Station method produced a stockpile volume of 21,069.15 m³ with a high level of accuracy due to direct field measurement. This method provides advantages in elevation data accuracy; however, it requires relatively more time and manpower during the data acquisition process. Based on these findings, the use of Total Station is recommended for stockpile volume calculations that require high accuracy, particularly for production evaluation and coal reserve reporting.

Abstract. This study aims to determine the effect of Work-Life Imbalance on Customer Service Performance among banking employees who are also university students in Bandung City. Dual roles as employees and students have the potential to create an imbalance between work and academic life, which may affect the quality of customer service. This study employed a quantitative approach with a sample of 25 respondents consisting of active banking employees who are currently pursuing higher education. Data were collected through questionnaires and analyzed using simple linear regression with the assistance of IBM SPSS software. The results indicate that Work-Life Imbalance has a significant effect on Customer Service Performance. The coefficient of determination (R Square) value of 0.837 shows that the Work-Life Imbalance variable explains 83.7% of the variance in Customer Service Performance, while the remaining percentage is influenced by other variables outside the scope of this study. Therefore, banking companies are expected to provide appropriate support for employees who carry dual roles as workers and students.

The rapid development of AI-assisted programming has encouraged the emergence of vibe coding, an approach to software development in which developers focus more on formulating intentions, contexts, and constraints through prompts rather than writing code manually. However, existing evaluations of AI-generated code still tend to emphasize functional correctness and productivity, and therefore have not fully addressed the relationship between user intent, technical code reliability, and developers’ understanding of the generated artifacts. This study aims to propose a new evaluation method called TD-VCEM (Three-Dimensional Vibe Coding Evaluation Method) to assess vibe coding practices in a more comprehensive and auditable manner. The proposed method consists of three primary dimensions: Intent Alignment to evaluate the conformity of code with prompt requirements, Code Reliability to assess the technical quality of the generated code, and Developer Cognition to measure developers’ understanding of AI-generated code. TD-VCEM is designed through several stages, including prompt decomposition, prompt-to-code traceability matrix, code reliability assessment, and developer cognition evaluation. Each dimension employs indicator-based scoring rubrics normalized on a scale of 0–100, enabling the construction of a Vibe Coding Evaluation Score (VCES). This study does not present empirical experimental results; instead, it offers a methodological framework that can serve as a foundation for evaluating AI-generated code in modern software engineering environments. The proposed TD-VCEM is expected to improve review process transparency, reduce security risks, strengthen software maintainability, and ensure that developers maintain control and understanding of AI-generated code artifacts.

The use of moldboard plows in agricultural land preparation often faces wear problems on the share component, leading to increased maintenance time and reduced operational efficiency. This study aims to design and analyze a modular concept for the plow share to improve maintenance and repair efficiency without compromising structural performance. The research methods include field observation, component dimension measurement, design modeling using CAD software, and structural analysis using the Finite Element Analysis  (FEA) method. In addition, maintenance ease was evaluated through a questionnaire based on a rating scale. The results show that the modular design significantly improves maintenance and repair efficiency, with an average score of 4.59 categorized as very good. Structural analysis indicates that the modular design reduces maximum stress on the moldboard and slightly decreases deformation, reflecting improved structural stiffness compared to the conventional design. However, the Safety Factor on the share component remains below the acceptable limit, indicating the need for further development. Overall, the modular design provides an effective solution to enhance maintenance efficiency while maintaining the structural performance of the moldboard plow.

Waste management remains a critical environmental issue due to the lack of public awareness in separating organic and inorganic waste, resulting in accumulation and environmental pollution This study aims to analyze and evaluate the development of automatic waste sorting systems based on proximity sensors with full-capacity notification using a Systematic Literature Review (SLR) approach.. The proposed system utilizes a combination of sensors, including proximity sensors for material identification and ultrasonic sensors for detecting object presence and bin capacity, integrated with a microcontroller for real-time processing. Additionally, the system is equipped with IoT-based monitoring that allows users to receive notifications when the waste bin reaches its capacity. The research method involves system design, hardware and software integration, and functional testing to evaluate system performance. The results indicate that the system is capable of sorting waste automatically with a high level of accuracy and responsiveness, while also providing real-time monitoring to support waste management operations. The implementation of this system can reduce manual intervention, increase operational efficiency, and promote better waste segregation practices. Furthermore, this study highlights the potential of integrating smart technology into environmental management systems, contributing both theoretically and practically to the development of sustainable waste management solutions.

Tiku Beach in Tanjung Mutiara District, Agam Regency, West Sumatra is a 12.77 km coastal area experiencing continuous shoreline changes due to abrasion and accretion. This study aims to identify and map shoreline changes and calculate the area of abrasion and accretion in 2014, 2019, and 2024 using the Modified Normalized Difference Water Index (MNDWI) method based on Landsat 8 OLI satellite imagery. The MNDWI method utilizes the reflectance difference in the Green band (Band 3) and SWIR band (Band 6) to automatically separate the land-water boundary. Shoreline change analysis was performed using Net Shoreline Movement (NSM) and End Point Rate (EPR) methods through ArcGIS 10.8 software with the Digital Shoreline Analysis System (DSAS) extension. Analysis of 336 transects shows that accretion is more dominant than abrasion along Tiku Beach. The largest accretion was recorded at transect 230 with an NSM value of 71.3 m and an EPR rate of 7.12 m/year, while extreme abrasion occurred at transect 249 with an NSM value of -121.67 m and an EPR rate of -12.15 m/year. The evolution of the shoreline shows that in 2014 the coastline was still relatively stable, then in 2019 mild abrasion occurred in the west along with accretion in the east, and by 2024 this pattern became more pronounced. The results of this study are expected to serve as a scientific basis for decision-making in coastal disaster mitigation planning and sustainable coastal management in Agam Regency.

Abstract: The digital era demands that every individual possess visual literacy competencies, but in Islamic boarding schools (pesantren), access to technology is often limited to maintain focus on worship. The main problem at the Salafiyah Al-Furqon Islamic Boarding School in Sawangan, Magelang Regency, is the digital skills gap among 12th-grade students. This is caused by the boarding school's policy of only allowing mobile phone use during semester breaks, leaving students lacking practical multimedia skills prior to graduation. This community service activity aims to provide a solution through basic photography and videography training as a soft skill for alumni independence. The method used is a workshop that combines theoretical explanations and direct practice (experiential learning). The results of this activity show a significant increase in students' technical competency; participants are able to operate smartphone cameras with stable shooting techniques, understand the principles of visual composition (such as the rule of thirds and leading lines), and are able to perform basic video editing using mobile-based software applications. Through this training, Islamic boarding school graduates are expected to become individuals who are adaptive to technological developments and able to utilize visual media as a means of creative economics and digital da'wah after graduation.

This study was conducted to analyze and examine the influence of individual characteristics, career development, and the quality of human resources on employee performance at PT. Prima Vista Solusi using a quantitative approach through a survey method. Data were collected by distributing questionnaires to 70 respondents who are employees and were analyzed using multiple linear regression with the assistance of SPSS software. The results show that individual characteristics and the quality of human resources have a significant effect on improving employee performance, while the career development variable does not have a significant effect on performance. This indicates that although the career development system has been well implemented, it has not yet become a primary factor in improving performance. Therefore, the company is advised to place greater focus on human resource management policies aimed at enhancing employees’ competencies, skills, and professionalism so that performance can be continuously improved in a sustainable manner.  

This study aims to analyze the invoice issuance procedure in the billing process for clinker transportation services using the CSMS (Customer Service Management System) at PT Semen Indonesia Logistik (SILOG). The primary focus of the research is on the workflow within the billing and reporting unit, as well as the identification of challenges and recommendations for improvement in the process. This research adopts a case study method with a qualitative approach. Data were collected through observation, interviews, and documentation. Four informants were selected using purposive sampling. The findings indicate that the billing process begins with the receipt of documents from partners, followed by document verification, data entry into the CSMS system, and invoice printing. Invoice creation is done manually so that delays often occur due to data discrepancies, input errors, incomplete documents, etc .The implications of this study reveal that despite the implementation of CSMS, technical and administrative obstacles still hinder efficiency. Improvements are needed through automated data input, integration of the contract database, and refinement of standard operating procedures (SOPs) to expedite and enhance the billing process. These findings can serve as a reference for developing a more effective digital billing system in the logistics sector.

This research aims to examine the influence of Brand Awareness, Social Media Marketing, and Online Customer Reviews on the purchasing decisions of Hijab Azzura among the community of Garu II Harjosari I Medan Amplas. This study uses a quantitative research method with a questionnaire research design. The subject of this research is Hijab Azzura, and the object of the study is consumers who purchase Hijab Azzura, totaling 97 respondents. Data collection techniques include observation, questionnaires, and documentation. Data analysis techniques involve validity tests, reliability tests, and classical assumption tests. The data analysis method used is multiple linear regression with the assistance of SPSS 25 software. The t-test results show that Brand Awareness has a positive effect on purchasing decisions. Social Media Marketing has a positive effect on purchasing decisions. Online Customer Reviews also influence purchasing decisions. The F-test results indicate that Brand Awareness, Social Media Marketing, and Online Customer Reviews simultaneously affect the purchasing decisions of Hijab Azzura among the community of Garu II Harjosari I Medan Amplas, with an F calculated value of 12.781 > F table value of 2.700, and a significance value of 0.000 < 0.05. The adjusted coefficient of determination (R Square) is 0.292, meaning that 29.2% of the dependent variable can be explained by the independent variables, while the remaining 70.8% is explained by other variables outside the ones studied.    

separating and shredding organic and inorganic waste. This study aims to analyze the process of shredding household waste using the Computational Fluid Dynamics–Discrete Element Method (CFD-DEM) and determine the optimal operational parameters based on variations in rotor speed. The research method uses numerical simulation with SolidWorks 2024 software for geometric modeling and Ansys Rocky 2023 R1 for CFD-DEM simulation. The rotor speed variations used are 1000 RPM, 2500 RPM, and 4000 RPM with a mass flow rate of 4 tons/hour and a simulation duration of 2 seconds. The parameters analyzed included particle mass flow rate, shredding characteristics, and power consumption. The simulation results showed that a speed of 1000 RPM produced the most optimal performance with a maximum capacity of ±4 tons/hour and a stable shredding response compared to other variations. At 2500 RPM, there were high fluctuations with low capacity (±0.6 tons/hour), while at 4000 RPM, the capacity was moderate (±1.1 tons/hour) but still did not exceed the performance of 1000 RPM. Based on these results, it can be concluded that a rotor speed parameter of 1000 RPM is the most effective condition for improving the grinding efficiency and production capacity of a hammer mill-type Depackaging machine based on CFD-DEM simulation.

This study aims to examine the effectiveness of interactive board game learning media in improving Arabic writing skills among fifth-grade students at MI Islamiyah 02 Madiun. The research employs a quantitative approach using a quasi-experimental design involving an experimental group and a control group with a total sample of 47 students. Data were collected through pretest and posttest instruments and analyzed using the Mann–Whitney U test with the assistance of SPSS software. The findings reveal a statistically significant difference between the experimental and control groups, with a significance value of 0.000 (<0.05). Students in the experimental group demonstrated higher improvement in writing skills compared to those in the control group. The use of interactive board game media enhances student motivation, engagement, and participation in learning activities. This study implies that game-based learning media can serve as an effective alternative for improving Arabic writing skills at the elementary school level.

This study aims to analyze the influence of emotional intelligence on job satisfaction and job performance, with employee adaptability as a mediator. The subjects were employees of Kospin Jasa Regional Office (Kospin Jasa) in Yogyakarta and Central Java. A sample of 178 respondents was selected using a census technique and a questionnaire was distributed using Google Forms. The analysis tool used was Structural Equation Modeling (SEM) based on Partial Least Square (PLS) software. The results of this study indicate that employee adaptability has a positive and significant effect on job satisfaction, employee adaptability has a positive and significant effect on job performance, emotional intelligence has a positive and significant effect on employee performance, emotional intelligence has a positive and significant effect on job satisfaction, and the influence of emotional intelligence on job performance has a positive and significant effect. Employee adaptability acts as a positive mediator in the influence of emotional intelligence on job satisfaction. Employee adaptability can be interpreted as a positive mediator in the influence of emotional intelligence on job performance.

Software Defect Prediction (SDP) aims to identify defective modules early in the software development lifecycle to improve software quality and reduce maintenance costs. However, SDP datasets commonly suffer from high dimensionality, feature redundancy, and class imbalance, which can degrade model performance and stability. This study proposes a hybrid feature selection framework to address these challenges and enhance prediction performance. The proposed approach integrates Combined Correlation and Mutual Information (CONMI), which combines the Pearson Correlation Coefficient (PCC) and Mutual Information (MI) to capture both linear and nonlinear feature relevance. The selected features are further refined through Top-K selection, correlation-based filtering to reduce multicollinearity, and Backward Elimination (BE) to obtain an optimal feature subset. To address class imbalance, SMOTE-Tomek is applied by combining over-sampling and data cleaning techniques. Experiments are conducted on twelve NASA MDP datasets using Logistic Regression (LR) and Naïve Bayes (NB) classifiers. The results show that the proposed framework consistently achieves the best performance, with Logistic Regression combined with SMOTE-Tomek obtaining the highest average AUC of 0.7923 ± 0.0714, while NB achieves 0.7554 ± 0.0580. Statistical analysis using a paired t-test indicates that the proposed method significantly outperforms MI+SMOTE-Tomek and BE+SMOTE-Tomek for Logistic Regression, whereas no significant differences are observed for NB. In addition to improving overall classification performance (AUC), the proposed approach also enhances minority class detection, as reflected in improved Recall and F1-score. Overall, the proposed hybrid framework provides an effective and reliable solution for software defect prediction, particularly for high-dimensional and imbalanced datasets.

This Study aims to analyze the effect of digital literacy and competence on employee productivity at PT PLN (Persero) Customer Service Unit (ULP) Takalar. This study employs a quantitative approach using a survey method. The population consists of all employees of PT PLN (Persero) ULP Takalar, and a census sampling technique was applied, meaning all members of the population were selected as respondents. Data were collected through questionnaires and analyzed using multiple linear regression with the assistance of SPSS software. The results indicate that digital literacy has a positive and significant effect on employee productivity. This means that the better the employees’ ability to understand and utilize digital technology, the higher their level of productivity. In contrast, employee competence was found to have a negative and significant effect on productivity. This finding suggests that increasing competence does not automatically lead to higher productivity if it is not supported by other relevant factors. These findings imply that improving competence without proper job placement, effective task management, and optimal utilization of skills may actually reduce employee productivity. Therefore, it is recommended that PT PLN (Persero) ULP Takalar not only enhance employees’ digital literacy and competence but also ensure alignment between competencies and job requirements through more effective human resource management in order to improve overall productivity