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The Low Voltage Main Distribution Panel (LVMDP) is a critical component in industrial power distribution systems, functioning to regulate, control, and distribute electrical energy to various production equipment. During operation, LVMDP panels often operate under high electrical loads, which may lead to temperature increases in their components. Undetected temperature rise can result in performance degradation, equipment failure, and even fire hazards. Therefore, an effective monitoring method is required to detect the condition of electrical components at an early stage. This study aims to analyze the temperature difference (ΔT) of LVMDP components using the Infrared Thermography method as part of predictive maintenance. The research employs a quantitative descriptive approach with data collected through direct observation from July 1 to July 31 at PT. Dongjin Indonesia. The data consist of hotspot and ambient temperatures measured from several panel components, which are then analyzed to calculate the temperature difference (ΔT) as an indicator of component operating conditions. The results indicate that the highest temperature difference is 26.5 °C in the capacitor bank, while the lowest is 4 °C in other components. All ΔT values are below the threshold limit of 50 °C, indicating that the LVMDP components are in safe operating conditions and do not require corrective actions. Thus, Infrared Thermography is proven to be an effective method for early detection of component conditions and can enhance the reliability and safety of industrial power distribution systems.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

Object detection plays a crucial role in intelligent transportation systems, particularly for outdoor traffic monitoring applications that require accurate and real-time performance under limited computational resources. Recent developments in YOLO-based architectures have introduced multiple model variants; however, their practical performance under constrained training conditions remains insufficiently explored. This study presents a comparative evaluation of YOLOv5, YOLOv7, and YOLOv8 for outdoor traffic object detection using a real-world dataset and identical experimental settings. The main objective of this research is to analyze the robustness and detection quality of different YOLO variants when trained with a limited number of epochs, reflecting practical deployment scenarios. All models were trained and evaluated using the same dataset, preprocessing pipeline, and hardware configuration to ensure a fair comparison. Performance evaluation was conducted using multiple metrics, including precision, recall, mAP@50, Precision–Recall curves, area under the curve (AUC), and peak F1-score. Experimental results indicate that YOLOv5 outperformed YOLOv7 and YOLOv8 in terms of overall detection stability and robustness. The merged Precision–Recall analysis shows that YOLOv5 achieved a higher effective AUC and superior mAP@50, reflecting better global detection performance. In addition, YOLOv5 exhibited a higher peak F1-score, indicating a more balanced trade-off between precision and recall. In contrast, YOLOv7 and YOLOv8 showed performance degradation under limited training conditions despite their more advanced architectures. These findings suggest that YOLOv5 remains a reliable and efficient solution for outdoor traffic object detection, particularly in resource-constrained environments. The study highlights the importance of comprehensive evaluation metrics and practical experimental settings when selecting object detection models for real-world applications.

This study aims to analyze and evaluate the effectiveness of bureaucratic reform in realizing good governance and improving the quality of public services in Indonesia. The research employs a library research method by reviewing various relevant academic sources, including journals, books, and official reports. The findings indicate that bureaucratic reform has a positive impact on enhancing efficiency, effectiveness, transparency, and accountability in public administration. The implementation of reforms through service digitalization, procedural simplification, and the application of standard operating procedures (SOPs) has significantly improved the quality of public services, particularly in terms of speed, accessibility, and service certainty. Furthermore, bureaucratic reform promotes the implementation of good governance principles, such as transparency, participation, and accountability. However, several challenges remain, including resistance to change, limited human resource competencies, and uneven policy implementation across government institutions. Therefore, continuous efforts are required through capacity building, strengthening monitoring systems, and optimizing the use of information technology to ensure the sustainability and success of bureaucratic reform.

Good governance has become a crucial framework for improving public sector effectiveness, accountability, and responsiveness to citizens’ needs. In Indonesia, decentralization policies since 1999 have devolved significant authority and resources to local governments, creating both opportunities and challenges in implementing good governance principles. This study examines administrative reform efforts in Indonesian local governments, focusing on progress, challenges, and key success factors. Using a multiple case study design, the research analyzed reform initiatives in six district/city governments with diverse contexts. Data were collected through document analysis, semi-structured interviews with government officials, civil society representatives, and citizens, as well as direct observation of administrative processes conducted between March and November 2024. The study assessed six core principles of good governance: participation, transparency, accountability, effectiveness and efficiency, equity and inclusiveness, and rule of law. The findings reveal variations in implementation across regions, with high-performing governments demonstrating strong leadership commitment, systematic planning, active citizen engagement, and effective monitoring mechanisms. However, challenges persist, including limited capacity, bureaucratic resistance, weak accountability enforcement, and low public participation. Key success factors include visionary leadership, capacity development, strategic partnerships, and institutional strengthening. Policy recommendations emphasize enhancing local capacity, accountability systems, citizen participation, and performance evaluation. Good governance has become a crucial framework for improving public sector effectiveness, accountability, and responsiveness to citizens’ needs. In Indonesia, decentralization policies since 1999 have devolved significant authority and resources to local governments, creating both opportunities and challenges in implementing good governance principles. This study examines administrative reform efforts in Indonesian local governments, focusing on progress, challenges, and key success factors. Using a multiple case study design, the research analyzed reform initiatives in six district/city governments with diverse contexts. Data were collected through document analysis, semi-structured interviews with government officials, civil society representatives, and citizens, as well as direct observation of administrative processes conducted between March and November 2024. The study assessed six core principles of good governance: participation, transparency, accountability, effectiveness and efficiency, equity and inclusiveness, and rule of law. The findings reveal variations in implementation across regions, with high-performing governments demonstrating strong leadership commitment, systematic planning, active citizen engagement, and effective monitoring mechanisms. However, challenges persist, including limited capacity, bureaucratic resistance, weak accountability enforcement, and low public participation. Key success factors include visionary leadership, capacity development, strategic partnerships, and institutional strengthening. Policy recommendations emphasize enhancing local capacity, accountability systems, citizen participation, and performance evaluation.

Industri manufaktur pangan di Indonesia menghadapi tantangan signifikan dalam pengendalian biaya akibat ketidakefisienan operasional dan manajemen waktu yang kurang optimal. Penelitian ini bertujuan menganalisis pengaruh efisiensi operasional dan manajemen waktu proyek terhadap pengendalian biaya pada PT. Macro Prima Pangan Utama. Metode penelitian menggunakan pendekatan mixed methods dengan desain explanatory sequential, mengintegrasikan analisis kuantitatif (regresi linear berganda, n=50) dan kualitatif (wawancara mendalam, n=15). Hasil penelitian menunjukkan bahwa efisiensi operasional berpengaruh positif dan signifikan terhadap pengendalian biaya (β = 0,478; p < 0,01), demikian pula manajemen waktu proyek (β = 0,362; p < 0,01). Secara simultan, kedua variabel berpengaruh signifikan dengan nilai Adjusted R² sebesar 0,602, mengindikasikan bahwa 60,2% variasi pengendalian biaya dapat dijelaskan oleh model. Temuan kualitatif mengkonfirmasi bahwa praktik preventive maintenance, standarisasi proses, dan monitoring jadwal produksi merupakan faktor kunci keberhasilan pengendalian biaya. Penelitian ini berkontribusi pada pengembangan literatur manajemen operasi di negara berkembang dan memberikan rekomendasi praktis bagi industri pangan untuk meningkatkan daya saing melalui efisiensi operasional dan manajemen waktu yang efektif.

Community service at Toko Entus Collection aimed to improve operational efficiency and sales through the implementation of a digital system. Students actively participated in managing social media, online promotions, and digital stock monitoring. Observations showed that digital media can disseminate product information widely, enhance consumer interaction, and support sales growth. Challenges included limited digital knowledge of the store manager, limited time for promotions, and inconsistent consumer responses. Direct guidance, socialization of digital media use, and adjustment of promotional strategies helped overcome these challenges. Students’ hands-on experience allowed the application of digital marketing theory to real business situations, while store managers benefited from improved operational performance. Therefore, this community service provides dual benefits: practical learning for students and increased competitiveness for SMEs.

The transformation of public services through information technology has become one of the government’s strategies to improve service quality for the community. The implementation of e-government enables public services to be delivered more effectively, efficiently, transparently, and with easier access. This study aims to analyze the transformation of public services through the implementation of e-government in the KLAMPID New Generation application at the Department of Population and Civil Registration of Surabaya City. The study employs a qualitative approach with a Case Study paradigm. Data were collected through interviews, observations, and documentation involving government officials and the public as service users. The research analysis uses the e-government development stage model proposed by Karen V. Layne and Jungwoo Lee, which includes the stages of presence, interaction, transaction, and transformation. The results indicate that the implementation of the KLAMPID New Generation application has supported the transformation of population administration services in Surabaya City. At the presence stage, the application provides digital information on population administration services. At the interaction stage, the system enables communication between the public and service providers through features such as notifications and service status monitoring. At the transaction stage, the public can submit service requests online by uploading required documents via the application system. Meanwhile, at the transformation stage, the KLAMPID New Generation application has integrated various population administration services into a single digital platform.

This study investigates collaborative governance in road infrastructure repair in Pekanbaru City, Riau Province, driven by the urgent need to address the high number of damaged roads and the limitations of local government capabilities. Utilizing a qualitative method with a descriptive approach, data were gathered from interviews with five stakeholders, field observations, and supporting documents. The study applies collaborative governance theory by Emerson and Nabatchi to analyze road repair efforts in Pekanbaru, highlighting effective collaborative dynamics. Key findings reveal the establishment of a Coordination Team, role clarity, trust, and commitment among stakeholders as factors of success. Essential contributing elements include shared cooperation needs, consequential incentives, leadership support, and sufficient resources. However, challenges such as a volatile political climate, unequal information distribution, and power imbalances pose barriers to collaboration. Overall, the study concludes that collaborative governance in Pekanbaru's road infrastructure enhancement has yielded positive outcomes but calls for improvements in transparency, communication strategies, and the establishment of an integrated information system for effective progress monitoring. Additionally, independent oversight mechanisms are recommended to sustain equitable role distribution and responsibilities among all parties involved.

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 determine the effectiveness of supervision conducted by the Environmental and Sanitation Agency (DLHK) of Karawang Regency regarding the mining activities of PT Mas Putih Belitung based on Law Number 32 of 2009 concerning Environmental Protection and Management. The study also examines the obstacles faced in monitoring the impacts of mining activities on public health and the environment. The research used an empirical juridical method with legislative and empirical approaches. Data were collected through interviews, observations, and literature studies, then analyzed qualitatively using Soerjono Soekanto’s theory of legal effectiveness. The findings show that DLHK supervision has been implemented but has not yet operated effectively. Several factors contribute to this condition, including limited human resources, inadequate facilities and infrastructure, weak administrative law enforcement, low community participation, and insufficient compliance by the company in environmental management practices. Therefore, stronger supervision, improved law enforcement, and greater collaboration between government, companies, and communities are necessary to ensure environmental protection and public health sustainability.

Adolescence is a transitional stage of development characterised by rapid biological, psychological, and social changes that increase vulnerability to the emergence of problematic behaviour. The increase in cases of juvenile delinquency highlights the importance of early detection as a prevention strategy. This study aims to examine the role of families and schools in the early detection of problematic behaviour in adolescents through a systematic literature review. The study used a systematic literature review method by analysing scientific articles published between 2021 and 2026 that discussed family involvement, the role of schools, and early detection of adolescent behaviour. Data were collected through a structured process of searching, selecting, critically evaluating, and synthesising the literature. The results showed that family factors such as parenting styles, emotional support, communication quality, and supervision have a significant influence on adolescent behavioural development. Schools also play a strategic role through counselling services, behavioural screening, mental health education, and collaborative interventions. Effective early detection occurs when families and schools work together through continuous communication and coordinated monitoring. Therefore, the role of families and schools is to strengthen efforts to identify and prevent behavioral problems so that interventions can be carried out more quickly to support the social and emotional well-being of adolescents. Strengthening collaboration and structured detection systems are important steps in reducing the risk of problematic behaviour in adolescents.

Information technology advancements have sparked a digital revolution in village government operations, especially in tracking and assessing village officials' performance. Performance evaluation is still done by hand in many village government organizations, which frequently causes reporting delays, ineffective data processing, and a lack of transparency in the evaluation process. In order to facilitate a more efficient and organized monitoring and performance evaluation process, an information system therefore required. In order to support the management village apparatus data, performance assessment procedures, and integrated reporting, this study intends design and develop a web-based monitoring system for assessing the performance village officials. To represent the system processes in an organized way, the system design is modeled using the Unified Modeling Language (UML), which includes use case diagrams, activity diagrams, and sequence diagrams. To make sure that every system function performs in accordance with user requirements, system testing is carried out using the Black Box Testing method. The findings demonstrate the system's ability handle village apparatus data, carry out automated performance evaluation procedures, compute final scores using assessment indicators, and produce precise performance reports. It is anticipated that the system's implementation will enhance the village officials' performance monitoring procedure's efficacy, efficiency, transparency, and structure.

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.

Bullying in the school environment is a social health problem that has a massive impact on children’s physical, mental, and social well-being. As the primary educational environment, schools need to implement a structured, safe, and child-friendly bullying reporting system. Objective: This conceptual study aims to design the implementation of a bullying reporting system based on school health administration using the functional management approach: planning, organizing, actuating, and controlling (POAC). The methods and components of the reporting system are designed through the four POAC pillars, namely the establishment of an Anti-Bullying Team, the preparation of Standard Operating Procedures (SOPs), the provision of child-friendly reporting media both physical and digital through the School Health Unit (UKS), and the development of monitoring and evaluation mechanisms (controlling). School health administration is used as an initial screening tool to identify indications of victim trauma discreetly and safely. The implementation of this POAC-based system is expected to improve the early detection of bullying cases, accelerate case handling responses, and eliminate stigma and fear of reporting among children. Conclusion: The integration of health administration and POAC management has proven to be a strong framework for creating a safe, inclusive school environment that strongly supports students’ mental health recovery.

This study aims to design and develop a web-based waste collection scheduling system using PHP and MySQL at the Environmental Agency of West Sumba Regency. The main problem faced is that the scheduling process is still carried out manually, resulting in inefficiency, susceptibility to errors, and difficulties in monitoring and reporting. The system development method used is the Waterfall model, which includes requirement analysis, system design, implementation, testing, and maintenance stages. The developed system provides features for managing data on personnel, regions, vehicles, and structured waste collection scheduling. In addition, the system is equipped with notification features, schedule monitoring, and performance reporting that can be accessed by management. The results of this study indicate that the system improves effectiveness and efficiency in scheduling processes and facilitates supervision of waste collection activities. Therefore, the implementation of this system is expected to optimize and organize waste management in West Sumba Regency.

This research aims to analyze the capacity building of government personnel in implementing the Electronic-Based Government System (SPBE) at the Department of Communication and Informatics of Gresik Regency, which plays a strategic role in digital governance. This study uses a qualitative approach focusing on capacity development strategies and constraints at individual and organizational levels. The findings show that capacity building is carried out through two main strategies: human resource development and organizational strengthening. In human resource development, the establishment and training of an internal assessor team serve as key instruments in supporting SPBE implementation. This team represents institutionalized capacity, enabling the organization to independently conduct monitoring, evaluation, and quality assurance processes in a sustainable manner. This approach reflects a long-term strategy to strengthen institutional independence and reduce reliance on external parties. In organizational strengthening, capacity building focuses on optimizing organizational structure, work systems, coordination mechanisms, and regulatory support, including standard operating procedures. However, several constraints were identified. At the individual level, there is an imbalance in technical competencies, especially in information technology skills. At the organizational level, the lack of optimal follow-up after training highlights the need for more integrated human resource planning. These findings indicate that capacity building in SPBE implementation requires a systemic, well-planned, and sustainable approach to achieve effective, adaptive, and responsive digital government governance in the public sector.

Spinal anesthesia is one of the regional anesthesia methods that is often chosen in various surgical procedures, especially in the area of the lower extremities, pelvis, and lower abdomen. The most common complication encountered in this technique is the occurrence of hypotension, which can affect tissue perfusion and hemodynamic stability of the patient. This study aims to examine the incidence of hypotension in spinal anesthesia, including mechanisms, risk factors, and management. The method used in this study is literature review with a scientific source search process conducted through various databases PUBMED, Sciencedirect, Researchgate, and Google Scholar with a publication year range of 2016 to 2026. The results showed that hypotension arises as a consequence of an obstacle in the sympathetic nervous system, which provokes dilation of blood vessels as well as reduced venous return. Risk factors include age, body mass index, patient position, block height, duration of surgery, fluid status, Injection Point, and type of anesthetic drug used. Management is carried out by administering fluids, vasopressors, as well as strict hemodynamic monitoring. A good understanding of the risk factors and mechanisms of hypotension is expected to improve patient safety during spinal anesthesia..

Community service at the Visi Iy Nike production unit was carried out using a descriptive qualitative and participatory approach to understand real conditions and challenges in the field. The activities began with direct observation of the production process to map workflows, identify operational obstacles, and evaluate the efficiency of resources, including labor, machinery, and production time. In addition, in-depth interviews and group discussions were conducted to collect information regarding production constraints and strategies applied by the operators. The data were analyzed descriptively to identify gaps between production targets and actual outcomes. Based on these findings, several interventions were implemented, including operator skill training, assistance in production planning, and the application of simple lean manufacturing principles to reduce waste and improve efficiency. The results showed that the average production efficiency reached 77%, supported by skilled operators, adequate raw materials, and flexible management practices. Routine documentation and systematic recording of production targets also contributed to better monitoring, evaluation, and faster decision-making processes.

Fixed asset management is a crucial component in supporting the performance of local governments. However, the Polewali Mandar Regency Government still faces obstacles in managing assets conventionally, such as the risk of recording errors, duplicate data, and difficulties in field data verification which is time-consuming. This study aims to design and build a Web-Based Fixed Asset Management Information System integrated with Quick Response Code (QR Code) technology as a digital solution for real-time asset data collection, tracking, and monitoring. The approach taken for system development is known as the Waterfall approach, encompassing the phases of analyzing requirements, system design, execution, evaluation, and ongoing support. The creation of the system was carried out utilizing the PHP coding language, the MySQL database system, and Tailwind CSS to achieve a mobile-friendly interface. Data collection techniques were conducted through observation, interviews, and literature studies at the General Affairs Division of the Regional Secretariat of Polewali Mandar Regency. The result of this research is a fixed asset management information system featuring the generation of unique QR Code labels for each asset, category and location management, and reporting features divided into three access levels: Admin, Operator, and Verificator. Based on the system testing results, an average score of above 4.00 was obtained for indicators of ease of use (user-friendly), access speed, and information accuracy. In conclusion, the implementation of this QR Code-based system is proven to increase the efficiency of the asset identification process in the field, minimize manual input errors, and improve accountability in regional asset management in Polewali Mandar Regency.