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The cigarette industry in Dawe District, Kudus, has been the backbone of the local economy for decades. However, this heavy dependence on a single industrial sector creates economic vulnerability, especially when production fluctuations or policy changes affect the tobacco industry. An economic empowerment program through agricultural entrepreneurship skills is highly relevant in this context. Modern agriculture using wick hydroponic technology and mini Nutrient Film Technique (NFT) offers an appropriate solution because it has characteristics that are suited to the geographic and socioeconomic conditions of the Dawe community. This PKM program has proven that economic empowerment through technology and skills transfer can be an effective strategy for increasing community income. Based on the results achieved, it is recommended to replicate similar programs in other areas with similar characteristics. Furthermore, ongoing monitoring and evaluation are necessary to ensure the sustainability of the businesses pioneered by participants. Collaboration with relevant agencies and microfinance institutions can strengthen participants' access to capital for broader business development.

Traffic congestion is a persistent challenge in urban areas in Indonesia, where increasing vehicle density creates the need for intelligent traffic monitoring systems. This study aims to develop a real-time vehicle parking system using the YOLOv8 object detection model to provide efficient traffic analysis from live CCTV broadcasts and recorded videos. This study uses a quantitative experimental approach with the implementation of the YOLOv8m model using the Ultralytics library in Python, tested on data collected from CCTV cameras A TCS Dishub Medan and additional footage from mobile devices. Vehicles are detected and counted in two directions up (Up) and down (Down) using virtual detection lines on the video frame. The system performance is evaluated by automatic detection counting with manually recorded ground truth data. The results show that on live CCTV broadcasts, the YOLOv8m model achieves an average precision of 98.96%, a recall of 96.59%, and an F1 score of 97.74% for upstream traffic, while for downstream traffic it achieves 100% precision, 95.64% recall, and an F1 score of 97.730/0. On the other hand, on high-quality recorded videos, all performance metrics achieve 100%, indicating perfect detection accuracy. These findings confirm the effectiveness of YOLOv8 in real-time traffic monitoring, but also indicate that video quality and stream stability affect detection performance. In conclusion, the developed system shows strong potential to support smart city traffic management solutions. Future research should focus on performance optimization under low-resolution live streaming conditions to improve accuracy in practical applications.  

This Community Intervention activity aims to optimize the identity of Ujung Piring Village through place branding, which includes creating a village logo, profile video, and designing a site plan for the village square. The main problems faced by the village are the lack of a strong visual identity to optimise its potential and structured planning of village space/facilities. The methods used in the village site plan development activity were observation, interviews, and focus group discussions (FGDs). The results of the activity showed that the village logo successfully represented local values and history symbolically; the profile video was an effective medium for public communication; and the village square site plan provided direction for the development of a functional, aesthetic public space that supports social interaction. This activity proves that place branding can strengthen village identity, increase community engagement, and open up opportunities for village economic development. Further evaluation and monitoring are needed to assess the long-term impact of the implementation of this work program.

This experimental study investigated the effectiveness of Process Oriented Guided Inquiry Learning (POGIL) based Student Worksheets in enhancing metacognitive skills among eleventh grade students learning Chemical Equilibrium. Utilizing a one group pretest posttest design with 36 participants, the intervention implemented specially designed worksheets integrating POGIL's inquiry cycle with explicit metacognitive scaffolding. Metacognitive skills comprising planning, monitoring, and evaluating components were measured through validated essay instruments before and after four instructional sessions. Statistical analysis using the Wilcoxon Signed Rank Test revealed a significant improvement in overall metacognitive skills (Z = -5.197, p < 0.001, large effect size d = 2.47). Notably, 94.44% of students demonstrated measurable progress, with normalized gain scores indicating high improvement in planning (g = 0.82), moderate improvement in evaluating (g = 0.51), and moderate improvement in monitoring (g = 0.48). These findings substantiate that POGIL based worksheets, when designed with intentional metacognitive prompts, effectively foster the development of higher order regulatory skills essential for mastering complex chemical concepts. The study contributes to science education literature by demonstrating how inquiry based pedagogies can be optimized for metacognitive skill development.

This experimental study investigated the effectiveness of Process Oriented Guided Inquiry Learning (POGIL) based Student Worksheets in enhancing metacognitive skills among eleventh grade students learning Chemical Equilibrium. Utilizing a one group pretest posttest design with 36 participants, the intervention implemented specially designed worksheets integrating POGIL's inquiry cycle with explicit metacognitive scaffolding. Metacognitive skills comprising planning, monitoring, and evaluating components were measured through validated essay instruments before and after four instructional sessions. Statistical analysis using the Wilcoxon Signed Rank Test revealed a significant improvement in overall metacognitive skills (Z = -5.197, p < 0.001, large effect size d = 2.47). Notably, 94.44% of students demonstrated measurable progress, with normalized gain scores indicating high improvement in planning (g = 0.82), moderate improvement in evaluating (g = 0.51), and moderate improvement in monitoring (g = 0.48). These findings substantiate that POGIL based worksheets, when designed with intentional metacognitive prompts, effectively foster the development of higher order regulatory skills essential for mastering complex chemical concepts. The study contributes to science education literature by demonstrating how inquiry based pedagogies can be optimized for metacognitive skill development.

SMP Negeri 5 Merlung is a public junior high school in Merlung Subdistrict that has utilized the DAPODIK system for online data processing management, enabling efficient sending and receiving of information to the government. This research analyzes IT governance on the DAPODIK system using the COBIT 5 framework, specifically the MEA01 domain (Monitor, Evaluate and Assess Performance and Conformance), which focuses on monitoring and evaluating performance and conformance. The research background is based on the need to maximize the utilization of the system at the school level. The main objectives are to determine the current and expected capability levels, as well as to provide improvement recommendations to achieve higher process maturity. The research method applies Assessment Process Activities, covering observation, interviews, identification of findings, gap analysis, and recommendations. The results show that the current capability level is at level 3 (established process), while the expected capability level is directed toward level 4 (predictable process). The implications of these findings provide practical recommendations such as routine monitoring enhancements, staff training, and integration of automation tools to bridge the capability gap, thereby improving the effectiveness of IT governance at SMP Negeri 5 Merlung sustainably.

Public complaint services are an essential part of public service delivery in supporting the government’s rapid response to various social issues and emergency situations. In West Tanjung Jabung Regency, public complaint services are provided through the HALO USTAD 112 Call Center managed by the Department of Communication and Informatics. However, the existing service still faces several limitations, including the lack of optimal integration in complaint data management, inadequate documentation of reports based on regional classifications, and limited capabilities in storing and retrieving complaint data. This study aims to optimize the HALO USTAD 112 Call Center service through the design of a mobile-based public complaint information system, so that the processes of receiving, managing, and monitoring reports can be carried out more effectively and in a structured manner. The system development applies the Waterfall method, which consists of requirement analysis, system design, implementation, and testing stages. The designed information system includes key features such as user and admin login, complaint submission, report management and verification, report monitoring, statistical visualization of complaint data, and regional-based report recapitulation. The application is developed using the Flutter framework with the Dart programming language, while Supabase is utilized as the backend integrated with a PostgreSQL database. The results of this study are in the form of a system design and prototype that are expected to improve the quality of public complaint services and support more accurate, integrated, and efficient data management.

Sudden Infant Death Syndrome (SIDS) is a sudden and unexpected death in infants that is often associated with the prone sleeping position. This study aims to develop an automated monitoring system capable of detecting SIDS risk factors using the YOLOv8 algorithm and to analyze the effect of data augmentation on model performance. The dataset consists of two classes, baby-lying-on-back (supine) and baby-lying-on-stomach (prone), which were processed through model training and evaluation using precision, recall, F1-score, and mAP metrics. The model was trained under two scenarios, without data augmentation and with data augmentation. The results show that the model without augmentation achieved a precision of 90%, recall of 85%, F1-score of 86%, and mAP50 of 93.7%. After applying augmentation, performance improved to a precision of 90%, recall of 87%, F1-score of 88%, and mAP50 of 95.1%. These findings indicate that augmentation increases detection accuracy and enhances model generalization, including robustness against variations in lighting and camera angles. Furthermore, testing with image and video inputs revealed that the non-augmented model exhibited a tendency toward overfitting, particularly in favor of the baby-lying-on-stomach, whereas the augmented model successfully classified both classes accurately. The developed system is also equipped with an alarm feature and early-warning notifications via Telegram to smartphone when a prone position is detected for a certain duration. Overall, the results demonstrate that YOLOv8 with data augmentation is effective for an automated, non-invasive monitoring system for infants, making it suitable for detecting and preventing potential SIDS risk factors.

This research examines the strengthening of inter-agency collaboration through an integrated implementation model in the social rehabilitation program for people with physical disabilities at UPT Bina Daksa Pasuruan, East Java, Indonesia. The social rehabilitation program for persons with disabilities faces significant challenges in coordination, resource allocation, and service integration among multiple stakeholders, including government agencies, non-governmental organisations, and community groups. This study employs a qualitative case study design, using in-depth interviews, focus group discussions, and document analysis to collect data from program implementers, beneficiaries, and related stakeholders. The findings reveal that effective inter-agency collaboration requires five key elements: shared vision and goals, clear communication channels, adequate mechanisms for resource sharing, strong leadership commitment, and continuous monitoring and evaluation systems. The integrated implementation model developed in this study emphasises horizontal and vertical coordination, participatory planning, capacity building initiatives, and community empowerment strategies. The results demonstrate that strengthening inter-agency collaboration through this integrated model significantly improves program effectiveness, service quality, and beneficiary satisfaction. This research contributes to the theoretical understanding of collaborative governance in disability services and provides practical recommendations for policymakers and practitioners in developing countries

This study aims to determine the effectiveness of the Jakarta Smart Card Plus (KJP Plus) Program at the Junior High School (SMP) level in South Jakarta in 2024. The program is an initiative by the Provincial Government of DKI Jakarta to ensure access to education for underprivileged families. This research employs Sutrisno’s (2007) program effectiveness theory, which includes five key indicators: program understanding, target accuracy, timeliness, goal achievement, and real change. The research method used is a descriptive qualitative approach, with data collection techniques including interviews, observations, and documentation involving informants from the South Jakarta Region I Education Sub-Department, school principals, students, and parents of KJP Plus beneficiaries. The results of the study indicate: (1) Understanding of the program is still uneven, particularly among parents who lack knowledge about the mechanism and use of KJP Plus; (2) Target accuracy is not optimal, as some recipients are economically capable, such as those who own cars or fall into higher welfare deciles; (3) The timeliness of fund distribution is generally good, although there are still some administrative delays; (4) Goal achievement is evident through reduced school dropout rates and increased educational participation, but not evenly across all areas; and (5) Real change is felt by most beneficiaries through easier access to education and provision of school supplies, although misuse of funds for non-educational purposes is still present. Overall, the effectiveness of the KJP Plus program at the SMP level in South Jakarta is deemed suboptimal, highlighting the need for improved data accuracy, stricter fund usage monitoring, and broader program socialization.

Street vendors (PKL) constitute an essential component of the informal economic sector in Gresik Regency, yet their presence often generates issues related to urban order, cleanliness, and aesthetics. This study aims to: (1) analyze the effectiveness of implementing Gresik Regency Regional Regulation Number 7 of 2013 concerning the Arrangement and Empowerment of Street Vendors, and (2) identify the obstacles faced by the local government in carrying out the regulation. This research employs a socio-legal method with a normative-empirical approach, utilizing statutory analysis, field observation, interviews, and documentation. The findings indicate that the arrangement and empowerment of street vendors have been carried out through the designation of trading locations, regulation of operating hours and physical facilities, establishment of requirements for becoming street vendors, and the enforcement of rights, obligations, prohibitions, and sanctions. The Gresik Regency Government has also undertaken relocation initiatives to designated areas. However, the effectiveness of the regulation remains hindered by limited human resources, weak monitoring systems, and low compliance among some street vendors. Overall, the implementation of Regional Regulation Number 7 of 2013 has been conducted but has not yet achieved optimal outcomes in ensuring order and promoting the independence of street vendors. Strengthened coordination, enhanced guidance, and improved regulatory systems are needed to support the sustainability of the informal sector in Gresik Regency.

Early detection of growth and development is a crucial step in identifying potential developmental delays in early childhood. This activity aimed to increase parents' and teachers' knowledge of child developmental stages and to conduct developmental screening using the Pre-Screening Development Questionnaire (KPSP) for students of Kindergarten X Panyabungan. The methods used included education through lectures and discussions, followed by KPSP screening on 20 children with an average age of five. The assessment covered gross motor skills, fine motor skills, language, and social independence. The screening results showed that all children (100%) were in the "age-appropriate" category, with no "questionable" or "deviation" categories found. 85% of participants stated that this activity was beneficial and increased their knowledge of child development. This activity demonstrated that the KPSP is an effective early detection tool in the school environment and can strengthen collaboration between teachers and parents. It is recommended that schools conduct regular developmental monitoring and provide ongoing stimulation to support optimal child development.

Early detection of growth and development is a crucial step in identifying potential developmental delays in early childhood. This activity aimed to increase parents' and teachers' knowledge of child developmental stages and to conduct developmental screening using the Pre-Screening Development Questionnaire (KPSP) for students of Kindergarten X Panyabungan. The methods used included education through lectures and discussions, followed by KPSP screening on 20 children with an average age of five. The assessment covered gross motor skills, fine motor skills, language, and social independence. The screening results showed that all children (100%) were in the "age-appropriate" category, with no "questionable" or "deviation" categories found. 85% of participants stated that this activity was beneficial and increased their knowledge of child development. This activity demonstrated that the KPSP is an effective early detection tool in the school environment and can strengthen collaboration between teachers and parents. It is recommended that schools conduct regular developmental monitoring and provide ongoing stimulation to support optimal child development.

Internal control is a crucial aspect for SMEs in maintaining the reliability of revenue recording and preventing the risk of misappropriation. This study aims to analyze the implementation of internal control in the revenue cycle at Exmo Tea Café and to evaluate its effectiveness through internal audit. The research uses a qualitative descriptive approach with data collection through interviews with management personnel directly involved in transactions and financial recording. The analysis is conducted using the COSO framework, which includes five main components: control environment, risk assessment, control activities, information and communication, and monitoring. The research results indicate that Exmo Tea Café has implemented several basic elements of internal control, such as recording transactions through a cashier application, daily cash reconciliation, and reporting to the owner. However, the effectiveness of these controls is still limited because the segregation of duties between receiving and recording is not optimal, risk assessment is reactive, documentation and report archiving are not systematic, and monitoring is conducted informally. In addition, there are no formal policies regarding operational standards (SOPs) or internal audit procedures that could serve as guidelines for continuous control implementation. These conditions have the potential to lead to risks of fraud, recording errors, and delays in financial reporting. Therefore, these findings underscore the need for a comprehensive enhancement of the internal control system, including strengthening the separation of duties, conducting preventive risk assessments, providing employee training related to financial governance, as well as implementing more formal monitoring and documentation. These improvements are expected to increase reporting accuracy, operational effectiveness, and minimize the potential for errors or fraud in the company's financial activities.  

The development of renewable energy, particularly Solar Power Plants (PV), requires a reliable, real-time, and easily accessible electrical energy monitoring system to ensure optimal system performance. This study aims to design and implement an Internet of Things (IoT)-based electrical energy monitoring system for PV using the NodeMCU ESP32 microcontroller, the PZEM-004T sensor for measuring electrical parameters, and the Node-RED platform as the data visualization interface. The developed system is designed to monitor voltage, current, power, energy, frequency, and power loss in real time, and then display the data in the form of numerical values, graphs, and indicators on a dashboard accessible through a local network. The research method includes hardware design, software development (sensor reading, data processing, and communication), integration with Node-RED, and system testing on a small-scale PV installation. The test results show that the system is capable of monitoring electrical parameters in a stable and responsive manner. Variations in sunlight intensity were found to affect the current and power produced by the solar panels, whereas the inverter output voltage tended to remain within normal operating ranges. The Node-RED dashboard display was considered informative and helpful for users in monitoring and analyzing PV performance. Based on these results, it can be concluded that the IoT-based electrical energy monitoring system designed in this study functions well and is feasible for application in residential or educational-scale PV installations. The system still has the potential for further development through cloud service integration, the addition of environmental sensors, and enhancements to data analysis features and user interface design.

This study analyzes the strategic role of digital transformation in accelerating the development of the green economy in Azerbaijan. As global economic systems shift toward sustainability-oriented models, Azerbaijan has begun integrating digital technologies—such as smart energy systems, geographic information platforms, and digital monitoring tools—into its environmental and economic policies. These initiatives are designed to reduce carbon intensity, enhance resource efficiency, and modernize industrial sectors in alignment with international climate standards. The study employs a qualitative library-based approach supported by content analysis to assess state programs, institutional reforms, and policy documents related to digital governance and renewable energy deployment. The findings indicate that digital solutions facilitate transparent decision-making, optimize energy consumption, and support ecological innovations, making them essential components of Azerbaijan’s national development agenda. However, the transition remains constrained by infrastructural disparities, limited technological competencies, and regulatory gaps. The study argues that sustainable development goals cannot be fully realized without comprehensive digital integration, institutional coordination, and capacity-building initiatives. Thus, digitalization is not merely a supportive tool but a foundational mechanism for the advancement of the green economy and long-term socio-economic transformation in Azerbaijan.

This Community Service Program (PkM) was carried out at PT Golden Visalux with the aim of enhancing the effectiveness of the company’s operational cost budget control. Findings from field observations and interviews revealed that the company did not yet have formal written guidelines such as a Standard Operating Procedure (SOP) and lacked a well-structured evaluation system for its budgeting process. As a result, discrepancies occurred between planned and actual expenditures, along with delays in monitoring operational costs. Through this internship project, an SOP and budget measurement standards were created and applied as reference tools for all relevant divisions involved in the budgeting cycle. The SOP implementation led to several improvements, including more accurate cost recording, better monitoring of budget variances, and increased efficiency in operational spending. In addition, the company now possesses an official document that can be utilized continuously for evaluating and refining its cost control practices. Overall, this PkM initiative offers meaningful contributions to strengthening budget management effectiveness and supporting improved financial performance at PT Golden Visalux.

Pseudomonas aeruginosa is a Gram-negative bacterium commonly found in the environment and serves as an important indicator of microbiological contamination in cosmetic products. Its ability to survive in low nutrient conditions and its resistance to various preservatives make it a microorganism frequently found in water-based products. Contamination can occur during production, storage, and use, and has the potential to cause irritation or infection, especially in individuals with low immunity. This literature review was compiled based on data searches on PubMed, Elsevier, Google Scholar, and Scopus with inclusion criteria of original studies from 2015 to 2025 that reported the detection of P. aeruginosa in cosmetic products. The results of the review show that P. aeruginosa is not only found in new products but also in used products, mainly due to unhygienic usage practices. Although some products are declared free from contamination, monitoring of the production process and consumer education on how to use and store cosmetics are still necessary. Thus, the detection and control of P. aeruginosa are important aspects in ensuring the safety of cosmetic products on the market.

The rapid development of information technology has encouraged organizations to implement computerized systems to improve document management efficiency and security. At PT Petrokimia Gresik, import document archiving was previously conducted using Google Drive and physical storage, which caused issues such as limited access control, risk of data loss, and slow document retrieval during audits. This study aims to design and develop a web-based Import Document Archiving Information System using the waterfall development method. The system was built using HTML, CSS, JavaScript, PHP, and MySQL. The results indicate that the system improves archiving efficiency, enhances data security, accelerates document search, and supports structured monitoring and validation processes.  

The manual archiving process within the Gresik Education Office continues to encounter significant challenges, including difficulties in correspondence tracking, document misplacement, and inefficiencies in disposition management. To address these issues, this study proposes the design and implementation of a Web-Based Archiving and Correspondence Monitoring System developed using the Waterfall methodology. The system aims to facilitate the digital transformation of administrative correspondence through three primary pillars: secure user authentication, flexible digital workflows, and compliance with electronic archival standards. Core features include centralized document management, automated disposition processes, electronic signature verification, and real-time notification integration via WhatsApp. Implementation results demonstrate that the proposed system enhances efficiency, traceability, and accountability in correspondence management at the Gresik Education Office.