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This study examines the effectiveness of classical guidance services in reducing gadget addiction among twelfth-grade students. Gadget addiction has become a growing concern in modern educational settings, as excessive use of digital devices often interferes with students’ academic performance, social interactions, and emotional stability. The research applies a quantitative methodology with a quasi-experimental approach, specifically utilizing a one-group pretest-posttest design. Participants were selected through purposive sampling based on indications of high gadget dependency. The intervention was conducted through structured classical guidance sessions focusing on awareness building, self-control improvement, and practical time management skills. Data were collected using a validated gadget addiction scale administered before and after the intervention, then analyzed using parametric statistics to determine the significance of the results. The findings indicate a significant decrease in gadget addiction levels following the implementation of the classical guidance program. This result highlights the importance of preventive and developmental counseling services in schools. The study implies that classical guidance can serve as an effective strategy to help students regulate their digital behavior and foster healthier lifestyle patterns in the digital era.

The increasing demands of global trade, the risk of transboundary diseases, and the stringency of sanitary and phytosanitary (SPS) standards require a more integrated, transparent, and risk-based national quarantine system. The partial readiness of digital systems and traceability mechanisms has the potential to weaken Indonesia’s food security and export competitiveness toward the vision of Golden Indonesia 2045. This study aims to analyze the strategic role of the quarantine system in national development, identify institutional and technical root problems, and formulate the most concrete and feasible policy alternatives. The method used is policy analysis with a multi-criteria analysis (MCA) approach to compare several solution alternatives based on effectiveness, efficiency, technical aspects, and political feasibility. The results indicate that the digital transformation of the national quarantine system based on traceability and risk-based intelligence is the most superior policy option, as it can simultaneously address data fragmentation, improve service efficiency, and strengthen biosecurity surveillance. This study recommends the development of a Quarantine Super App, full implementation of e-certification, integration with the National Logistics Ecosystem and Customs, and the strengthening of an artificial intelligence-based risk profiling system. Gradual implementation accompanied by performance indicator-based evaluation is key to the success of the policy in enhancing national food security and export competitiveness.

This study aims to analyze the influence of the physical work environment (X1), work-life balance (X2), and job satisfaction (X3) on employee performance (Y) at Grand Serela Hotel Bandung. The method used in this study is a non-probability technique with saturated sampling, with a population of 56 hotel employees. Data analysis was carried out using multiple linear regression, assisted by SPSS version 25 and Microsoft Excel 2019. The results showed that the physical work environment (X1) has a significant influence on employee performance (Y), which indicates that the physical condition of the workplace can increase employee productivity and performance. However, work-life balance (X2) does not have a significant effect on employee performance, which may indicate that other factors outside of work-life balance affect employee performance. Job satisfaction (X3) also has a significant effect on employee performance, indicating that a high level of job satisfaction can improve overall employee performance. This study provides insights for hotel management to improve employee performance through improving the work environment and increasing job satisfaction.

Background: Trigeminal neuralgia (TN) is often associated with neurovascular compression in the trigeminal nerve root entry zone, necessitating the simultaneous visualisation of nerves and blood vessels. Fusion of 3D SPACE and 3D TOF MRA images provides an integrated neurovascular view; however, not all hospitals have fusion software. This study developed a MATLAB-based image fusion method as an alternative and evaluated its equivalence to hospital-based fusion software.Methods: This study employed a descriptive quantitative research design, conducted in November 2025 at Diponegoro National Hospital and Dr Kariadi General Hospital in Semarang. A total of 16 brain MRI datasets (3D SPACE and 3D TOF MRA) were fused using hospital software and the MATLAB fusion application (MATLAB R2025b GUI). The fusion results were assessed by specialist radiologists. Diagnostic performance metrics (sensitivity, specificity, NDP, NDN, accuracy) were calculated, and paired differences were tested using the McNemar test. Intra-observer reliability was assessed using percentage agreement and Cohen’s Kappa.Results: MATLAB fusion yielded a sensitivity of 90.91%, specificity of 80.00%, NDP of 90.91%, NDN of 80.00%, and accuracy of 87.50%; the McNemar test (p=1.000) indicated no significant difference. Intra-observer reliability was very good (percent agreement 94%; Kappa 0.875). These findings indicate that MATLAB-based fusion is equivalent to hospital software fusion on the study data and has the potential to serve as an alternative in facilities without fusion software, provided that registration standardisation and user training are in place.

This study aims to analyze the relationship between digital literacy and ICT self-efficacy in improving students' functional skills at Muhammadiyah Senior High Schools in Palembang City. The main focus of the study includes evaluating the level of development of digital tool use for presentation, evaluation, and information organization, as well as conducting a gender-based comparative analysis of tool knowledge and ICT self-efficacy. Using a quantitative paradigm with a descriptive survey method, data were collected from a randomly selected sample of 200 respondents through a self-administered questionnaire that has been tested for validity and reliability. The findings indicate a significant positive correlation, where students with high ICT self-efficacy scores consistently demonstrate superior performance in critical thinking and problem-solving skills. Although awareness of basic tools such as PowerPoint is adequate, the utilization of advanced applications for information evaluation and data organization is still relatively low. Furthermore, a gender gap was found where male students generally have higher ICT self-efficacy, but interventions through training have been proven to empower female students to exceed the average standard. This study concludes that strengthening digital literacy and technology self-efficacy in an inclusive manner is crucial for students' academic readiness in the digital era.

This study aims to analyze the impact of inflation on the profitability of Micro, Small, and Medium Enterprises (MSMEs) operating in traditional markets. Inflation influences key business aspects, including rising production costs, declining consumer purchasing power, and instability in input prices, all of which can disrupt business performance. The research employed a quantitative approach using survey data collected from MSME actors to assess these effects. The findings reveal that inflation has a significant negative impact on MSME profitability, particularly through the reduction of profit margins. This occurs as businesses face higher raw material costs while simultaneously experiencing a decline in sales volume due to weakened consumer demand. As a result, many MSMEs struggle to maintain financial stability and sustain their operations under inflationary pressure. These findings highlight the need for adaptive strategies among MSMEs, such as cost efficiency and pricing adjustments. Additionally, the study offers important policy implications for the government to support MSMEs through targeted interventions, including price stabilization measures and financial assistance programs, in order to maintain business resilience and economic sustainability.

This study explores the role of Business Intelligence (BI) in improving operational effectiveness and company performance amid rapid digital transformation, big data, Artificial Intelligence (AI), and data analytics development. Using a Narrative Literature Review (NLR) approach, this study analyzed 48 national and international scientific articles related to BI, firm performance, digital transformation, and big data analytics. The findings reveal that BI positively influences decision-making quality, operational efficiency, organizational agility, innovation capability, marketing effectiveness, customer relationship management, and competitive advantage. Furthermore, integrating BI with Big Data Analytics, predictive analytics, machine learning, and AI enhances organizational responsiveness to dynamic business environments. The study also identifies key success factors for BI implementation, including organizational readiness, management support, technological infrastructure, information quality, and system integration. These findings indicate that BI has evolved from a technological tool into a strategic organizational capability that supports sustainable business performance and digital transformation. This study contributes to the Business Intelligence literature by providing a comprehensive understanding of BI’s strategic role across various industries and organizational contexts.

Women's leadership plays an important role in the success of organizations, including in the government sector at the sub-district level. Leaders not only act as directors but also as mentors who are able to understand the needs and character of their subordinates. The female head of TG Sub-district in Surabaya City demonstrates the application of reciprocal relationships between leaders and subordinates through a system of rewards and punishments according to performance achievements, actively monitors subordinate performance, identifies work standard errors, and takes corrective actions. The study aims to analyze the application of transactional leadership style by the female head of TG Sub-district in Surabaya City using Bernard M. Bass's (1990) theory. The type of research used is a qualitative research method with a descriptive approach. Data collection techniques were carried out through observation, interviews, and documentation. Samples were determined using purposive sampling, and data sources included primary and secondary data. The research results indicate that the transactional leadership style of the female village head in TG Village is not yet fully optimal. The application of Contingent Reward can increase motivation and employee performance control, but its implementation in the community is still limited. Management by Exception (Active) carried out on employees has not been consistent, and its application in the community is also not sufficiently felt. Management by Exception (Passive) and Laissez-Faire are shown through corrective actions after problems arise and the freedom to take initiative and make decisions according to standards and policies. The implementation of transactional leadership by female village heads needs to be improved, especially in strengthening the mechanisms of reward and punishment as well as the consistency of supervision of employees and the community so that the leadership implementation runs more optimally.

This study aims to analyze the effect of financial literacy and the use of accounting information on the financial performance of Micro, Small, and Medium Enterprises (MSMEs), with financing as a moderating variable. The research sample consists of 100 MSME owners or managers located in Gresik City, specifically in Gresik, Kebomas, and Manyar Districts, selected using purposive sampling based on predetermined criteria. Hypothesis testing was conducted using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method with the assistance of SmartPLS software through a bootstrapping procedure and one-tailed testing. The results indicate that financial literacy and the use of accounting information have a positive and significant effect on MSME financial performance. In addition, financing is proven to strengthen the influence of financial literacy and accounting information on MSME financial performance. This study is expected to provide practical benefits for MSME actors in improving financial performance through better financial management and access to financing. The limitation of this study lies in the limited research area and the use of perception-based data.

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.

This study aims to predict student graduation at Universitas Nahdlatul Ulama (UNU) Lampung using academic data with the Decision Tree C4.5 algorithm in RapidMiner. This research is based on the problem that some students graduate late and academic data is not fully used for decision-making. The method used is a quantitative approach with an experimental design following the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The data used consists of 389 student records from four study programs. The variables include GPA, semester GPA, gender, and study program, while graduation status is used as the target variable. The results show that GPA is the most important factor affecting graduation. Students with GPA ≤ 3.00 tend to graduate late. The model produced an accuracy of 85.34%, precision of 87.50%, and recall of 97.03%. Therefore, it can function as an early warning mechanism to support academic programs in increasing on-time graduation rates.

The rapid acceleration of the digital economy has positioned Micro, Small, and Medium Enterprises (SMEs) at a strategic crossroads. This study investigates the impact of digital marketing and social media marketing on the performance of SMEs in Binjai, North Sumatra, while exploring the mediating role of Electronic Word of Mouth (e-WOM). Utilizing a quantitative approach with a sample of 182 SME owners, data were analyzed using multiple linear regression and path analysis via SPSS 26. The findings demonstrate that digital marketing and social media marketing initiatives significantly and positively influence business performance, accounting for 54.2% of the variance. Notably, social media marketing emerged as the most dominant predictor, fostering high levels of customer engagement. Furthermore, path analysis reveals that e-WOM serves as a critical mediator; effective social media strategies stimulate authentic digital testimonials, which subsequently enhance consumer trust and sales volume. This research concludes that for SMEs in emerging local markets like Binjai, the orchestration of digital reputation through e-WOM is fundamental to achieving sustainable competitive advantage in an increasingly volatile digital landscape.

Adolescent depression is an important mental health concern associated with psychological conditions and excessive digital media use. The extreme imbalance of depression labels in behavioral datasets can reduce the ability of classification models to recognize minority cases. This study aims to develop a TabNet-based deep learning model for classifying adolescent depression labels using social media addiction, stress, anxiety, and related behavioral features. The study used a secondary dataset consisting of 1,200 adolescent samples. Data preprocessing included categorical feature encoding, stratified training and testing data splitting, feature standardization, and the application of the Synthetic Minority Oversampling Technique (SMOTE) to the training data. The TabNet Classifier was trained using Cross-Entropy Loss and the Adam optimizer with a step-decay learning rate and early stopping mechanism. The experimental results showed an accuracy of 99.15%, precision of 98.32%, recall of 100%, F1-score of 99.15%, and ROC AUC of 1.0000, with optimal performance achieved at epoch 53. These findings indicate that TabNet can effectively learn psychological and digital behavioral patterns for adolescent depression label classification. The proposed approach provides a potential computational framework for data-driven mental health risk classification, although further validation using diverse empirical datasets is required.

The performance of Asphalt Concrete – Wearing Course (AC-WC) is greatly influenced by the characteristics of the mixture, one of which is the void value which plays a role in stability, durability, and resistance to damage. Rainwater is the most dominant environmental factor accelerating pavement damage through stripping mechanisms, bond release, and a decrease in the structural strength of the layer. Therefore, it is necessary to conduct a study on changes in void value with soaking duration, the relationship of void value to the design life of the road pavement, and an empirical model of the design life based on void value with variations in soaking in the mixture using a laboratory test approach. Based on the results of laboratory tests, it can be seen that changes in void values ​​due to variations in soaking time using rainwater indicate that the longer the mixture is soaked, the changes in VIM and VMA values ​​tend to decrease, while VFA increases. The relationship between VIM values ​​and the design life of road pavements in AC-WC layers due to soaking variations shows that the design life decreases sharply when the VIM value is <3%. Thus, long-term immersion can reduce the road life by more than 35% of its ideal design life and based on a simple empirical model equation to estimate the design life of the pavement based on the void value and immersion conditions, N0 = 12.5 years is obtained (Ideal mix design life at VIM = 4%).

Online gambling is a form of addictive behavior that often begins with simple experimentation. Early wins tend to encourage individuals to continue gambling with increasingly larger stakes, driven by the belief that higher bets will lead to greater profits. Along with the rapid advancement of digital technology, online gambling has become more accessible to various groups, including university students, through convenient and flexible online platforms. Although it is often perceived as a form of entertainment, online gambling has significant negative impacts. This study aims to analyze the effects of online gambling on students’ mental health. The research uses a qualitative approach, with data collected through observations and interviews involving respondents who engage in online gambling activities. The findings reveal that online gambling has detrimental effects on students’ psychological well-being, including increased levels of stress, anxiety, depression, and sleep disturbances. Furthermore, it contributes to decreased concentration, reduced learning motivation, and declining academic performance. Therefore, stronger preventive measures and educational efforts are necessary to minimize the negative impacts of online gambling among university students.

This study aims to investigate the determinants of job performance by integrating the variables of capability, social interaction, and Organizational Citizenship Behavior (OCB) as a moderating variable. The phenomenon of employee turnover and discrepancies in staff discretionary behavior within the hospital setting serves as the primary rationale for this study. Using a quantitative approach, data were collected from 240 respondents at Magelang City Islamic Hospital through purposive sampling. Data analysis was conducted using Structural Equation Modeling (SEM) based on AMOS software to test the causal relationships among variables in the structural model. The research findings provide empirical confirmation that individual capabilities and the quality of social inter-actions have a positive and significant influence on stimulating the formation of OCB. Furthermore, statistical test results demonstrate that capabilities, social interactions, and OCB simultaneously make a significant contribution to improving employee work performance. The presence of OCB is identified as a crucial factor capable of strengthening organizational performance outcomes. The practical implications of this study emphasize the need for hospital management to formulate human resource development strategies focused on strengthening technical skills and social cohesion to mit-igate the impact of turnover and accelerate the sustainable performance of healthcare services.

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.

Bullying in schools continues to be a serious concern that adversely impacts students’ psychological well-being, social relationships, and academic performance. Factors such as low empathy, inadequate social skills, and limited environmental control contribute significantly to this behavior. This study seeks to examine the implementation of group guidance as an approach to reducing bullying among students. A qualitative descriptive method was utilized, involving participants consisting of students identified as bullying perpetrators, school counselors, and victims. Data collection techniques included interviews, observations, and documentation, which were analyzed through processes of data reduction, data presentation, and conclusion drawing. The results reveal that group guidance leads to positive behavioral changes in students, such as enhanced empathy, greater self-awareness, and improved communication and social interaction abilities. Furthermore, a reduction in both verbal and social bullying behaviors was observed. The group dynamics established during the sessions enabled students to better understand the consequences of their actions and gain insights from the experiences of others. These findings imply that group guidance can serve as an effective and sustainable strategy for preventing and managing bullying in school settings.

This community service program aims to enhance teachers’ competence in developing Higher Order Thinking Skills (HOTS)-based assessment items to support improved performance in the Computer-Based National Assessment (ANBK) at SMP Negeri Kletek. The main problem faced by the partner school is the limited understanding of teachers in designing assessment instruments that measure higher-order thinking skills, as well as insufficient ability to develop literacy- and numeracy-oriented questions aligned with ANBK characteristics. This condition has resulted in suboptimal learning evaluation quality and limited student readiness for national assessment. The program employed a Participatory Action Research (PAR) approach, emphasizing the active involvement of participants throughout all stages. The implementation included the planning stage through needs assessment and problem identification, the action stage through training and mentoring in HOTS-based item development, the observation stage through evaluation of participants’ work, and the reflection stage to identify achievements and challenges. Data were collected using pre-test and post-test, observation, and reflective discussions. The results indicate an improvement in teachers’ understanding and skills in developing HOTS-based items, as reflected in higher post-test scores. Teachers were able to design competency-based blueprints, contextual stimuli, and analytical, evaluative, and creative questions. This program effectively strengthens teachers’ professional competence and school readiness for ANBK.

This community service activity aims to improve the effectiveness of clean water distribution management through the implementation of a Water Level Control (WLC) system as an automatic control for water pumps and three-phase motors at a regional drinking water supply company in Lamongan. The methods employed include field observation, problem identification, system design and implementation, as well as periodic evaluation of system performance. The activity focuses on the water treatment unit by conducting control and monitoring of operational parameters such as frequency (Hz), pump pressure, and flow stability to ensure optimal water distribution according to consumer needs. The results indicate that the implementation of the WLC system enhances operational efficiency, minimizes human error, and supports more structured and sustainable equipment maintenance. In addition, this activity contributes to improving the knowledge and technical skills of personnel in operating, monitoring, and maintaining automated control systems. In managing automation-based technology in a professional and independent manner, human resource capacity is strengthened, while the quality of clean water services is also improved through this community service program.