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The rapid growth of Indonesia’s digital economy has created opportunities while simultaneously increasing the risk of monopolistic practices and unfair business competition. To address these issues, the Business Competition Supervisory Commission (KPPU) introduced behavioral remedies as an alternative dispute settlement mechanism. This study aims to analyze the effectiveness of behavioral remedies in cases of market control and abuse of dominant position. The research employs a doctrinal legal method. Effectiveness is assessed through two main indicators, namely the restoration of market conditions and the prevention of repeated violations. The findings show that this mechanism is generally effective in restoring competition and preventing recurrence, as demonstrated in several KPPU cases, including Case No. 04/KPPU-I/2024. However, its effectiveness remains conditional, as the mechanism is reactive, does not impose fines, and is monitored only for a relatively short period. Moreover, although KPPU Regulation No. 2 of 2023 regulates this mechanism, it does not provide sufficient legal explanation regarding the classification of articles that are permitted. Therefore, stronger monitoring and more detailed legal clarification are required to ensure the sustainable effectiveness of this mechanism in maintaining fair competition.

Background: Adolescence is a crucial stage of human development, during which adequate and balanced nutrition plays an important role in supporting growth and maintaining long-term health. At this age, eating habits begin to form, yet many adolescents tend to choose fast food, which generally has low nutritional value. Such foods are typically high in fat, sugar, and salt, but low in fiber from fruits and vegetables, potentially affecting their nutritional status. This study aims to examine the relationship between the frequency of Junk Food consumption and fiber intake with the nutritional status of students at SMP Negeri 9 Palu. This research employed an analytical quantitative approach using a cross-sectional design, involving a population of 97 students. Data were collected through the SQ-FFQ questionnaire to assess Junk Food consumption, 3×24-hour dietary recalls to measure fiber intake, and anthropometric measurements to determine nutritional status. Data analysis was conducted using the chi-square test. The results indicated a significant relationship between Junk Food consumption and nutritional status (p < 0.05). In contrast, fiber intake showed no meaningful association (p > 0.05), possibly because most respondents had similarly low fiber intake, resulting in insufficient variation to influence nutritional status. Other factors such as total energy intake, physical activity, and sleep patterns may also contribute to adolescents’ nutritional conditions. These findings highlight the importance of nutrition education in schools and the role of parents in monitoring adolescents’ eating habits. Further research with a larger sample size and more detailed dietary assessment methods is recommended to obtain more comprehensive results.  

The 2023 forest fire on Mount Arjuno burned more than 3,315 hectares of land, threatening biodiversity and damaging the balance of the local ecosystem, including the loss of large trees and a decline in soil quality. In response to these conditions, the 80 Gunung Arjuno 3339 Mdpl Expedition was initiated as a form of community service aimed at restoring the ecosystem through tree planting along the Sumber Brantas–Cangar hiking trail. This activity involved collaboration between the Forestry Service, the Naval Academy, the Indonesian National Armed Forces, the community, students, and volunteers. The implementation method included preliminary studies, procurement of local tree seedlings such as mountain pine and eucalyptus, structured planting along the hiking trail from post 2 to post 3, and post-planting monitoring by Tahura Raden Suryo. A total of ±300 participants planted around 600 trees in this expedition. In addition to planting, participants also carried out mountain clean-up activities. The results of the activities show that tree planting can reduce the risk of erosion and improve soil structure after fires, as well as encourage community involvement in sustainable environmental conservation. This activity proves the importance of cross-sector synergy for effective and sustainable environmental restoration.

Power transformer theft, a pervasive issue disrupting critical infrastructure, necessitates the development of cost-effective and energy-autonomous security solutions. This paper presents the design and implementation of a detection-focused anti-theft framework that integrates a Raspberry Pi Zero W, camera module, and passive infrared (PIR) motion sensors powered by a solar system for continuous monitoring. The system is designed for remote, off-grid deployment, utilizing a headless Raspberry Pi powered by a 5V solar panel and power bank to ensure energy autonomy. Upon motion detection, captured images are processed on the edge device using OpenCV’s Haar Cascade classifier, optimized for upper-body detection to minimize false positives and verify human presence. Captured images are processed locally on the edge device using OpenCV’s Haar Cascade classifier to confirm human presence before an alert is sent to the mobile application, emphasizing real-time operation and low latency. Once an intrusion is confirmed, the images are saved locally and uploaded via the Secure File Transfer Protocol to a custom-developed Android application. The app provides a dedicated remote monitoring interface, enabling secure file transfer and system access, while providing users with immediate notifications and image management capabilities. The system emphasizes low power consumption, real-time operation, and low deployment cost. Tests over 200 triggered events under varied environmental conditions achieved 90% detection accuracy with an average latency of 4.5 s. Solar autonomy was maintained for approximately 24 h under normal operation. It is concluded that the integration of solar power, edge computing of images, and mobile monitoring provides a feasible, scalable, and financially viable framework for securing transformers, especially in resource-constrained environments.

This research is motivated by the significance of inclusive education as a way to guarantee access and equity for students with special needs in Sidoarjo Regency. Even with robust national policies advocating for inclusive schools, their impact at the regional level is still not thoroughly examined. This study aims to assess the impact of inclusive school initiatives on enhancing educational access and equity of services. The aims are to (1) evaluate the access rates of students with special needs to both formal and non-formal education; (2) analyze equity of services in relation to facilities, teaching standards, and learning results; (3) pinpoint factors that facilitate and hinder implementation; and (4) develop policy suggestions for enhancing equitable services. The research utilizes a mixed-methods strategy incorporating a sequential explanatory framework that integrates quantitative survey information from 30 schools along with qualitative interviews conducted with policymakers, educators, and parents. The results show that the success of inclusive programs in Sidoarjo is intermediate, with significant differences between urban and rural schools. Leadership, teacher effectiveness, and collaboration across sectors stand out as crucial factors for success. The research indicates that maintaining inclusive education necessitates regional policy coordination, development of human resources, and data-driven monitoring to guarantee equity and equal learning chances for every student

This study explores the implementation of an electronic Human Resource Management System (e-SDM) in the Gubeng sub-district of Surabaya to optimize civil servant (PNS) leave management. The primary focus is on assessing how digitalization improves efficiency, transparency, accountability, and service quality in human resource administration, particularly in leave processing. Traditionally, manual procedures required 7-14 days to approve leave requests, involved multiple steps, manual calculations, and were prone to errors, delays, and lack of transparency. The introduction of the e-SDM system significantly reduces processing time to approximately one day, enabling online submission, real-time monitoring, and electronic approval accessible anytime and anywhere via smartphones. The system automatically calculates leaves balances and prevents over-application, ensuring data accuracy and reducing misuse. Besides operational efficiency, the system enhances transparency by providing accessible real-time status updates, creating an audit trail for each decision, and making the process auditable and accountable. Despite these advantages, challenges such as user resistance, digital literacy, infrastructure issues, and system integration remain. This research employs descriptive-analytical methods, combining interviews, observations, and documentation, to analyze the effectiveness of e-SDM implementation. The findings indicate that digitalization has streamlined leave management, minimized administrative burdens, and improved data accuracy. Moreover, it fosters a fairer and more transparent work environment, reinforcing good governance principles and supporting Surabaya's vision to become a smart city. The research underscores the importance of technological adaptation within bureaucratic reforms and offers strategic recommendations for further system improvements. Overall, the successful adoption of e-SDM in Gubeng serves as a model for digital transformation in public service delivery, contributing to more efficient, transparent, and accountable governance in local government institutions.

School administration is a fundamental component in ensuring effective and high-quality education in elementary schools. This study aims to describe the concept of effective school administration, the essential administrative components that must be designed and managed, and the factors influencing its success in supporting educational quality improvement. A qualitative approach was employed, focusing on naturally occurring administrative processes within elementary educational institutions. Data were obtained through literature review on the management of curriculum, students, educational staff, finance, facilities, and school–community relations. The findings indicate that effective school administration must be carried out systematically through core management functions, including planning, organizing, implementing, and monitoring. The success of school administration is strongly influenced by the leadership of the principal, the competence of teachers and staff, the utilization of information technology, accountable financial management, adequate facilities, and community participation. Therefore, strengthening school administration becomes a key strategy in creating an orderly, efficient, and student-oriented educational process to improve learning quality in elementary schools.

Mental health has become a major global issue, particularly after the COVID-19 pandemic, which significantly increased the prevalence of psychological disorders. Early detection of stress and other mental health problems remains a major challenge, as traditional methods are generally subjective and unable to provide real-time results. This study aims to design and test a wearable sensor based on Heart Rate Variability (HRV) as a physiological indicator for detecting stress levels. The research employed an experimental approach through the development of a wearable sensor prototype equipped with a stress detection algorithm based on HRV analysis, including both time-domain and frequency-domain parameters. The prototype was tested on 100 respondents with varying stress levels under controlled conditions. Instruments used in this study included the HRV sensor prototype, psychological questionnaires, and standard validation devices. Data were analyzed by comparing the sensor detection results with respondents’ psychological data and calculating prediction accuracy. The findings showed that the wearable sensor was able to predict stress conditions with an accuracy rate of 80%. The distribution of sensor detection results was generally consistent with psychological data, especially in the low-stress category, although slight deviations were observed in moderate and high-stress categories. These results demonstrate that an HRV-based wearable sensor can serve as a practical and non-invasive tool to monitor mental conditions in real time. The implications of this research highlight the potential of wearable technology as an innovative solution for mental health monitoring, both for individual use and as support for healthcare systems. Therefore, this study contributes to the development of adaptive and responsive health technologies in addressing global mental health challenges.

The Field Work Practice (PKN) carried out at PT MK Prima Indonesia focused on the implementation of periodic maintenance practices for the premoulding hydraulic press machine as an effort to maintain machine performance and operational lifespan. The main activities included identifying critical components such as the hydraulic system, valves, pressure hoses, and oil filters; conducting direct observation of common disruptions; and performing daily maintenance checklists that covered pressure monitoring, operating temperature, leakage detection, machine cleanliness, and lubrication conditions. Comprehensive cleaning procedures, condition-based filter replacement, and functional testing were also conducted to ensure reliability and safety in the production process. The implementation methods involved participatory observation, interviews with technicians regarding common failure patterns, visual and functional inspections, as well as the use of structured checklists supported by inspection documentation. The results indicate a significant decrease in the frequency of disturbances caused by leaks and oil contamination, improved compliance with routine inspection procedures, and enhanced machine readiness during operations. The introduction of structured documentation and simple technical training further improved technicians’ ability to detect early signs of abnormalities in the hydraulic system. As a recommendation, the company is advised to strengthen the use of digital recording systems, adjust filter replacement intervals based on actual machine conditions, and implement regular training programs focusing on contamination control and predictive maintenance.

The Field Work Practice (PKN) carried out at PT MK Prima Indonesia focused on the implementation of periodic maintenance practices for the premoulding hydraulic press machine as an effort to maintain machine performance and operational lifespan. The main activities included identifying critical components such as the hydraulic system, valves, pressure hoses, and oil filters; conducting direct observation of common disruptions; and performing daily maintenance checklists that covered pressure monitoring, operating temperature, leakage detection, machine cleanliness, and lubrication conditions. Comprehensive cleaning procedures, condition-based filter replacement, and functional testing were also conducted to ensure reliability and safety in the production process. The implementation methods involved participatory observation, interviews with technicians regarding common failure patterns, visual and functional inspections, as well as the use of structured checklists supported by inspection documentation. The results indicate a significant decrease in the frequency of disturbances caused by leaks and oil contamination, improved compliance with routine inspection procedures, and enhanced machine readiness during operations. The introduction of structured documentation and simple technical training further improved technicians’ ability to detect early signs of abnormalities in the hydraulic system. As a recommendation, the company is advised to strengthen the use of digital recording systems, adjust filter replacement intervals based on actual machine conditions, and implement regular training programs focusing on contamination control and predictive maintenance.

Accreditation is the recognition of the quality of hospital services after an assessment has been conducted to determine whether the hospital has met accreditation standards approved by the government. Every note in the medical record must clearly identify the professional care provider (PPA), including the full name and signature, as well as the date and time of writing. The purpose of this study was to determine how the PPA's identity is filled in in medical records based on accreditation standards at Haji General Hospital, Medan. The research method used was qualitative research, with data collection techniques using in-depth interviews and observation. Six informants participated, including doctors, nurses, and medical records officers. The results showed that despite the existence of Standard Operating Procedures (SOPs) for filling in the PPA's identity, incomplete medical records were still found, such as only including a signature without a clear name and an omitted date and time. Incomplete files were returned to the relevant unit for correction. The main obstacle faced was the PPA's limited working time to complete the medical record files. In conclusion, the PPA's identity is not fully compliant with existing SOPs. Therefore, regular monitoring and evaluation, along with training for all PPAs, are needed to ensure optimal completeness of medical record documentation.

Purpose– The objective of this research is to develop an integrated operational management model for Smart & Green Villages (SGVs), combining the principles of smart villages and green villages to promote sustainable, inclusive, and adaptive rural development. This research emphasizes operational efficiency, environmental sustainability, digital technology utilization, and community participation as key pillars. Design/Methodology/Approach – A mixed-methods approach was adopted, involving surveys of villages in Indonesia that have begun adopting SGV principles, in-depth interviews with village officials and key stakeholders, and case studies of villages that have successfully implemented smart technologies and environmentally friendly practices. Data triangulation was applied to strengthen the validity of the findings. Findings – The study shows that integrating functional organizational structures, optimizing digital technologies such as the Internet of Things (IoT) and village information systems, and building participatory community mechanisms significantly improve public service delivery, reduce operational costs, enhance environmental management, and strengthen socio-economic well-being. The study also identified new operational variables, including cost-effective innovation, digital local governance, inter-village shared resources, and socio-environmental audits as a multidimensional evaluation tool. Practical implications – These findings provide a practical framework for policymakers, local governments, and community leaders to implement and evaluate SGV. The multidimensional indicators proposed in this study enable continuous monitoring and adaptation of village operations to local conditions and resource constraints. Originality/Value – This study is one of the first to propose a concrete and replicable SGV operational management model by introducing new variables and multidimensional evaluation indicators. It enriches the theoretical discourse on smart and green village integration while offering actionable strategies for sustainable rural governance.

The employee leave application information system is a digital solution designed to simplify the process of submitting, approving, and managing leave within an institution. This internship project resulted in the development of a system called SiCuti, which was built using the Laravel framework with a MySQL database. The system provides two main roles: employees and administrators/supervisors. Employees can apply for leave according to their entitlements, such as annual leave with a maximum of 12 working days, maternity leave for 3 months, pilgrimage leave (Hajj) which can be taken once during their service period, as well as special leave for important reasons such as marriage or the death of an immediate family member, typically lasting 1–3 days. When applying, employees may also upload supporting documents and monitor the status of their applications through the leave status menu.Administrators or supervisors have broader authority, including reviewing the list of leave requests, approving or rejecting applications, and managing employee leave quotas to ensure compliance with regulations. In addition, administrators can track the complete leave history of employees through an integrated dashboard. This feature supports faster, more transparent, and accountable decision-making processes.The results of local testing indicate that SiCuti has the potential to increase efficiency in administrative leave processes that were previously carried out manually, making them faster, more transparent, and more structured. The interactive dashboard design also facilitates monitoring from both employees and administrators. With the implementation of SiCuti, it is expected that the leave management process can reduce the risk of human error, ensure data accuracy, and support transparency and accountability in human resource management once the system is fully deployed within the institution.

Indonesia's adolescent pregnancy prevalence necessitates comprehensive determinant identification for evidence-based preventive strategy formulation. This research analyzes correlations between reproductive health knowledge, parental role functioning, and peer influence on teenage pregnancy among female adolescents in Ciseeng Health Center, Bogor Regency, West Java Province. Cross-sectional design employed among 65 adolescents aged 15-19 years during October 2024-January 2025 using stratified random sampling. Data collection utilized validated questionnaires based on WHO Adolescent Sexual and Reproductive Health Indicators, Parental Monitoring and Support Scale, and Peer Pressure Inventory with Cronbach Alpha (α=0.84; 0.81; 0.79). Demographic characteristics showed 60% aged 17-19 years, 40% aged 15-16 years, with 55.4% experienced pregnancy validated through medical records. Univariate analysis identified knowledge deficiency (64.6%), parental dysfunction (63.1%), and high peer influence (66.2%). Chi-Square analysis confirmed associations of low knowledge (p=0.001; OR=3.5; 95% CI=1.8-6.7), inadequate parental roles (p=0.002; OR=3.2; 95% CI=1.6-6.1), and dominant peer influence (p=0.001; OR=3.8; 95% CI=1.9-7.2) with adolescent pregnancy. Multivariate logistic regression identified peer influence as strongest predictor (AOR=3.80; 95% CI=1.67-8.65).

The Family Welfare Empowerment (PKK) is a vital community organization with a significant role in addressing social issues. One such issue is the increasing number of juvenile delinquency cases in schools, which has become a major concern for both educational institutions and parents. Schools must be proactive in monitoring their students to address this problem effectively. However, traditional manual monitoring processes are inefficient and time-consuming. To overcome this, there is a need for an efficient, user-friendly, and multi-user monitoring system that enables both schools and parents to access information about their children's behavioral violations. This student violation monitoring system is designed to be web-based, utilizing UML (Unified Modeling Language) for system design and employing the Waterfall development method. The goal of this system is to provide an effective solution for managing and tracking student violations, allowing for better control and prevention of delinquent behavior within the school environment. By implementing this system, both school authorities and parents will be able to collaborate more effectively in monitoring and addressing student behavior.

This research aims to design and develop a web-based public complaints application aimed at improving the quality of public services at the Wanokaka Sub-district Office. This application was developed to facilitate the public in submitting various types of service-related complaints, while also providing a mechanism for monitoring the resolution status in a more transparent and accountable manner. The development method used was the System Development Life Cycle (SDLC), which includes the stages of needs analysis, system design, implementation, and functional testing. The resulting system includes key features such as a complaint form, status notifications, complaint history, and a dedicated dashboard for officers to manage and follow up on reports. The results indicate that this application not only accelerates the complaint handling process but also improves the effectiveness of communication between the public and the sub-district. With this application, the complaints process becomes more structured and responsive, and is expected to increase public trust in the quality of public services in Wanokaka Sub-district.

Digital transformation in higher education requires an information system that is able to manage academic processes effectively, including the management of students' final projects. At Stella Maris University Sumba, the process of registering titles, guidance, and archiving of final projects is still carried out manually, causing various obstacles, such as administrative delays, difficulties in monitoring the progress of guidance, and the risk of data loss. This research aims to design and implement a web-based information system that supports the process of submitting titles, guidance management, uploading documents, and storing final project archives in the form of a digital data bank. The development method used is a software engineering approach with the stages of needs analysis, designing using UML, implementation, and system testing. The system is built with a three-layer architecture that features document management and role-based access control to ensure data security and integrity. The results of the black-box test showed that all system functions were running as needed, while the usability evaluation using the System Usability Scale (SUS) questionnaire resulted in a score that indicated the system was feasible to use. The implementation of this system has been proven to increase administrative efficiency, simplify the guidance process, and provide a structured thesis repository that supports academic transparency and accountability. Thus, this information system is expected to be a sustainable solution in the management of final projects as well as a model for the development of academic digitalization in higher education.

This dissemination activity aims to share findings and reflections from research on the digital transformation of traditional handicraft MSMEs in Makassar, as well as formulate recommendations for collaborative action. Through a multimodal approach (hybrid seminars, interactive discussions) the activity involved 25 participants. The results show success in knowledge transfer, the creation of direct business opportunities, and the preparation of the digital transformation roadmap and Quintuple Helix collaboration protocol. It is concluded that contextual and participatory dissemination is effective in transforming research findings into real action. The suggestions put forward include the need for a strategy of stakeholder engagement, segmentation of materials based on digital literacy levels, and a long-term impact monitoring system to ensure the sustainability of inclusive digital transformation initiatives based on local wisdom. In addition, it is important to strengthen the capacity of MSME actors through advanced training that focuses on the use of digital marketing technology, product management, and market analytics. The sustainability of collaborative networks between academics, governments, communities, industry players, and the media is also a determining factor in accelerating the digital transformation process in a comprehensive and sustainable manner.

The old bridge structure, are subjects that must be monitored in bridge maintenance. Bridge detection supervision is very necessary to determine structural deformation caused by normal operations or environmental impacts such as temperature, humidity and heavy vehicle loads. Monitoring the structure as a whole also needs to be carried out after extreme conditions occur, such as an earthquake. Research on structural dynamics analysis of steel frame bridge conditions to determine the behavior of the structure. Vibration data is read using a wireless sensor network or accelerometer. The vibration mode signal obtained is processed using Fast Fourier Transform (FFT) analysis via MATLAB software, which will produce a graph of the relationship between the frequency domain and the time domain. Through this graph, the dynamic characteristics of the bridge structure can be analyzed, with several variations in the condition of the bridge structure.

APIs (Application Programming Interfaces) have become a key component in the development of modern digital products and the transformation of cloud-based services. Its ability to provide structured access to data and enable cross-platform integration makes APIs at the core of the enterprise's digital architecture. However, the high level of API openness poses increasingly complex security challenges, including potential data exploitation, injection attacks, credential misuse, and exploitation of business logic loopholes. This article examines the strategic role of APIs in the digital ecosystem, analyzes the operational risks that arise from API exposure, and evaluates the effectiveness of basic defense mechanisms such as API Gateways and Web Application Firewalls (WAFs). The findings of the study show that while both solutions play an important role in controlling access, filtering, and mitigating attacks at the surface layer, they have not been able to provide comprehensive protection against modern API threats that are dynamic, distributed, and often exploit weaknesses at the application and business logic levels. Therefore, a more holistic, layered, and sustainable API security approach is needed, including anomalous behavior detection, API abuse protection, and real-time monitoring to maintain the integrity and reliability of digital services.