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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.  

Queueing systems play an important role in evaluating service performance, especially in small-scale businesses such as barbershops, where fluctuating customer arrival patterns and limited service capacity often lead to long waiting times. This study aims to analyze the performance of barbershop services using the M/M/1 queueing model and an analytical approach based on experimentally tested arrival (λ) and service (μ) rates. The model was selected because it represents a single-server system with Poisson arrivals and exponentially distributed service times, closely matching real barbershop operational characteristics. Using assumed realistic parameters, the analysis shows that when λ = 12 customers per hour and μ = 6 customers per hour, the system becomes unstable with a utilization rate (ρ) exceeding 1, indicating continuous queue growth. Further simulations with increased service rates demonstrate significant improvements: at μ = 15, the system achieves ρ = 0.8 with an average waiting time of 16 minutes, while at μ = 13, the system remains stable but experiences a long waiting time of approximately 55 minutes. These findings emphasize that barbershop performance is highly sensitive to service speed and that even small increases in μ can produce substantial improvements in queue stability and customer waiting times. The study concludes that barbershops must ensure adequate service capacity—either through optimizing service duration, improving worker efficiency, or adding servers—to maintain service quality and enhance customer satisfaction.

This research aims to design and implement a village MSME website as a centralized digital promotional medium to overcome the limitations of conventional marketing and expand the market reach of local products more effectively and sustainably. The system was developed using the waterfall method, encompassing requirements analysis, design, implementation, testing, and maintenance. The system was developed using the PHP programming language and the CodeIgniter framework based on the Model-View-Controller (MVC) architecture to ensure a structured, efficient, and maintainable development process. The implementation resulted in a responsive and user-friendly website equipped with key features such as an informative product catalog, village MSME profiles, and a content management system via an admin dashboard that allows MSMEs to update data independently and flexibly. Functional testing demonstrated that all features functioned well and reliably according to user needs. Therefore, this village MSME website can be concluded as an effective digital solution for increasing the visibility of local products, strengthening MSME competitiveness, and supporting village economic growth through sustainable and integrated online promotion.

Flower disease detection is a significant challenge in modern agriculture, particularly with factors such as changes in leaf color, petal shape and structure, and environmental conditions affecting the accuracy of conventional models. These factors make it difficult to achieve optimal results using traditional methods. Transfer learning is an effective solution to improve image detection performance, especially when data is limited. This study used several pre-trained models, namely VGG16, ResNet50, and EfficientNet-B0, to detect three types of flower diseases: black spot on roses, white powdery mildew, and leaf rust. The research process included data processing, increasing the data volume using augmentation techniques, model training, and evaluation of the results. Experimental results showed that the EfficientNet-B0 model produced the highest accuracy of 97.2%, significantly better than the CNN model built from scratch with an accuracy of 85.1%. This study demonstrates that transfer learning is highly effective in improving the accuracy of flower disease detection, making it a more reliable alternative to methods that do not utilize pre-trained models, especially for agricultural applications that require high levels of accuracy in disease detection.

The scarcity of real-world data in Air-Conditioning (AC) fault diagnosis necessitates the use of synthetic data; however, rule-based synthetic datasets often suffer from a significant sim-to-real domain gap. To address this, we propose a Model-Data Coevolution (MDC) framework that employs a Simulated Annealing (SA) controller to optimize augmentation parameters. We introduce a novel technique, Stochastic Feature Decoupling (SFD), which applies independent noise to raw and derived features, contrasting it with traditional Logically-Consistent Augmentation (LCA). Empirical results show that SFD significantly outperforms LCA, achieving a weighted F1-score of 0.93 and increasing NORMAL class recall to 82%. We demonstrate that by breaking deterministic feature links, SFD acts as a robust regularizer, utilizing "physically impossible" data to enhance generalization in complex real-world environments.

A wall follower robot is a type of autonomous robot that is designed to move by following a wall at a certain distance. This research aims to design and build a Wall follower robot equipped with a Fuzzy-PID control system to improve navigation performance. The robot uses five HC-SR04 ultrasonic sensors to detect the distance to the wall and the surrounding obstacles. The data from the sensor is then processed by a Fuzzy-PID algorithm that combines the advantages of conventional PID control with fuzzy logic, resulting in a more adaptive response to environmental conditions. The test results showed that the robot with Fuzzy-PID control was able to maintain the stability of the distance to the wall more consistently compared to the pure PID control. In addition, the system exhibits better adaptability to complex environmental conditions, such as sharp turns, uneven wall surfaces, and the presence of resistance variations. The application of Fuzzy-PID control has been shown to improve the stability, response speed, and accuracy of the robot's navigation. These findings are expected to contribute to the development of robotic navigation systems for a wide range of practical applications, including automated cleaning robots, environmental exploration, and industrial systems that require reliable autonomous mobility.

Soil contamination by hydrocarbons, pesticides, heavy metals, and complex pollutants is rapidly increasing and degrading essential ecosystem functions. Physical or chemical treatments offer faster results, yet they are often costly, energy-intensive, and risk disrupting soil biological integrity without fully eliminating pollution sources. Microorganism-based bioremediation provides a more sustainable alternative by utilizing microbial metabolism to degrade or immobilize pollutants into less toxic and less mobile forms. This article presents a structured literature review on the roles and applications of microorganisms for bioremediation of contaminated soils, covering comparisons between single isolates and microbial consortia, dominant biological mechanisms, and ecological challenges in field application. A Systematic Literature Review approach was applied, using narrative synthesis and thematic clustering of national and international journals published between 2020 and 2025. The review indicates that single microbial isolates are commonly selected for specific pollutant targets, whereas microbial consortia are preferred for mixed or persistent contaminants due to metabolic synergy that enhances microbial adaptability and stepwise pollutant breakdown in highly polluted soils. Adaptive mechanisms such as EPS production and biofilm formation contribute to microbial resilience under stress and help retain contaminants within the soil matrix. Key challenges identified include inoculum stability under extreme conditions and limited microbial access to pollutants trapped in micro-soil pores. The findings highlight that microbial selection strategies must be tailored to pollutant characteristics and soil environmental conditions, while also emphasizing the potential of biofilm-based systems and organic carriers to support broader field implementation of microbial bioremediation.

This study aims to analyze the role of Village-Owned Enterprises (BUMDes) in improving community welfare in Tanarawa Village, Waiblama District, Sikka Regency, and to evaluate the implementation of BUMDes programs. Tanarawa Village has primary economic potential in the plantation and food crop sectors, managed largely by the community as farmers. BUMDes was established as an instrument for village economic empowerment with the aim of increasing Village Original Income (PAD), strengthening the local economy, and maximizing the utilization of natural resources and human resources. This study used a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation. The results indicate that BUMDes Tanarawa is still in the development stage, although it has been able to contribute to community welfare through the provision of basic necessities, training, outreach, and consultations related to business management. The success of BUMDes is influenced by government support, quality leadership, community participation, and transparent and accountable management. However, limited understanding by the community and village officials, as well as obstacles in implementing outreach, are inhibiting factors that need to be addressed. This study confirms that BUMDes plays a strategic role in local economic empowerment, improving community welfare, and equitable distribution of village economic growth.

Non-formal institutions, such as farmer groups, play a strategic role in increasing farmer capacity and strengthening agricultural production systems at the village level. This study aims to analyze the role, function, and institutional dynamics of the Bina Satu Farmer Group in supporting tomato farmers in Parabubu Village, Mego District. A descriptive qualitative approach was used, with data collection techniques including observation, in-depth interviews, and documentation. The results indicate that the Bina Satu Farmer Group serves as a learning platform, a collaborative unit, and a liaison between farmers and external institutions. This institution functions in disseminating information on tomato cultivation technology, strengthening access to production inputs, and enhancing farmers' bargaining power in marketing. However, several weaknesses were identified, such as low member participation in routine meetings and limited managerial skills among administrators. Overall, the existence of this farmer group has significantly contributed to increasing the knowledge, productivity, and independence of tomato farmers in Parabubu Village.

The informal institution of mutual cooperation (gotong royong) in the rice farming community in Bhera Village, Mego District, Sikka Regency, remains the main foundation of social solidarity and the sustainability of agricultural activities even though modernization and the use of labor have begun to shift traditional values. A qualitative approach with a case study method was used to explore the role, form, and meaning of mutual cooperation in agricultural practices. Data were collected through in-depth interviews, participant observation, and documentation studies of rice farmers who are active in mutual cooperation activities. Data analysis was carried out through reduction, presentation, and drawing conclusions using triangulation techniques to ensure the validity of the findings. The results show that mutual cooperation is manifested in every stage of farming, from uprooting seedlings, planting (planting), clearing weeds, to harvesting, which is carried out voluntarily and in turns through the Irutan Tradition system. This institution functions as a collective work mechanism that reduces production costs, overcomes labor shortages, and strengthens social ties between farmers. Beyond its economic function, mutual cooperation has profound social and cultural significance as a symbol of brotherhood, togetherness, and collective responsibility in maintaining the sustainability of local wisdom and the resilience of farming communities amidst social and technological change.

This study is a scholarly work by a student of the Early Childhood Education Teacher Education Program, Faculty of Education, Universitas Negeri Gorontalo, supervised by Dra. Rapi Us. Djuko as the first advisor and Mr. Nunung Suryana Jamin, SE, M.Si as the second advisor. The objective of this research is to provide a comprehensive overview of foreign language development achievements among early childhood learners in Group B at TK Nurul Ilmih. The study adopts a qualitative descriptive approach, utilizing observation, in-depth interviews, and documentation as data collection methods. A total of 22 children participated as the primary subjects and were actively involved throughout the observation process. The research focused on several linguistic aspects, including language comprehension, verbal expression, basic vocabulary usage, pronunciation ability, and children's responses to bilingual instructions (in both Indonesian and English). The findings indicate that the children’s foreign language development falls within the "developing as expected" category, although it has not yet reached an optimal level. Some children still encounter difficulties in pronouncing English vocabulary, constructing simple sentences, and understanding verbal commands. Several factors influence the progress of their language development, including family background, parenting style, the intensity of teacher-provided stimulation, and habitual exposure to foreign languages in daily school activities. The study concludes that consistent, engaging, and developmentally appropriate stimulation from both teachers and parents plays a crucial role in fostering bilingual proficiency in early childhood.

This study aims to describe in depth the teacher's strategy in shaping children's behavior according to religious and moral values ​​in Group B at TK Negeri 01 Al-Icmi, PaguyamanPantai District, Boalemo Regency. The study used a qualitative research method. The subjects of this study were twelve children in Group B and one teacher of Group B at TK Negeri 01 Al-Icmi, PaguyamanPantai District, Boalemo Regency. Data were collected through interviews and documentation. Data analysis was carried out by data editing, data presentation, and conclusions. The results of the study indicate that the implementation of the strategy has been carried out optimally. Teachers act as good role models through positive behaviors demonstrated every day, such as getting children into the habit of washing their hands before eating, praying together, and maintaining politeness and mutual respect. These habits are not only imitated by students, but also become part of the school routine that supports the development of children's religious and moral values. In addition, the teacher's behavior formation strategy uses several methods, including storytelling, singing, habituation, and role models that are adapted to the characteristics of early childhood development. This method is applied both in daily routine activities and special programs aimed at strengthening children's understanding of religious and moral values.

This study examines the role of mathematics learning in improving logical thinking skills in early childhood. The background of this study is based on the importance of logical thinking skills as a foundation for children's cognitive development, which can begin at an early age through appropriate mathematics learning. The purpose of this study is to analyze how mathematics learning can stimulate the development of logical thinking in early childhood and explore effective learning strategies. The methods used are library research and observation of several models of mathematics learning for early childhood in early childhood education institutions. The findings indicate that fun and concrete activity-based mathematics learning can improve children's abilities in critical thinking, constructing patterns, drawing conclusions, and solving simple problems. The implications of this study emphasize the need for the application of creative and interactive mathematics learning methods to support the development of logical thinking from an early age, while also encouraging educators to integrate mathematics into children's daily activities. This study also recommends the development of learning media appropriate to children's developmental stages for optimal results.

This study aims to evaluate the impact of role-playing methods on learning interest and number concept mastery in 4-5-year-old children at TK Inomata, Suwawa Selatan District, Bone Bolango Regency. The approach used is a quantitative experimental method with purposive sampling of 8 children, and data collection was carried out through observations of aspects such as enjoyment, focus, activity, and enthusiasm, using a 1-4 scale. The results show that the average learning interest score using the traditional method was only 5.86 (low category), with details: enjoyment 1.71, focus 1.29, activity 1.29, and enthusiasm 1.57. In contrast, the role-playing method of trading/store games showed an average score of 13.86 (very good category), with details: enjoyment 3.57, focus 3.43, activity 3.29, and enthusiasm 3.57. This significant improvement indicates that the role-playing method is more effective in creating interactive, enjoyable, and contextual learning, as well as supporting number comprehension through everyday activity imitation and social skill development. It is recommended to routinely apply this method in early childhood education (PAUD) with adequate teaching aids, as well as involve parents to support the holistic development of children during the golden age.

This study aims to determine the effect of using number puzzle media on the ability to recognize number symbols in early childhood at Kihajar Dewantoro VI Kindergarten. The background of this study is based on the importance of concrete and interesting media in supporting early mathematics learning, especially the introduction of number symbols in children aged 4–5 years. The study used a quantitative method with a quasi-experimental design through a comparison between conventional learning and learning using number puzzle media. Data were collected through observations of aspects of the ability to recognize number symbols and match numbers. The results showed that the average ability of children in conventional learning only reached a score of 6, while learning using number puzzle media increased significantly to a score of 13.1. These findings indicate that number puzzles can make children more focused, enthusiastic, and easier to understand number symbols in a concrete and meaningful way. Thus, number puzzle media is proven to be effective in improving the ability to recognize number symbols in early childhood and can be used as an alternative mathematics learning media in PAUD.

Science learning at the Islamic junior high school level still faces challenges in improving student learning outcomes because the learning process tends to be teacher-centered and lacks active student involvement. This condition requires the implementation of a learning model that can encourage cooperation, responsibility, and student involvement in the learning process. This study aims to determine the effect of the Jigsaw cooperative learning model on the science learning outcomes of students at MTs Raudhatul Faizin. This study uses a quantitative approach with a correlational design. The research subjects consisted of 30 students who were used as the research sample. Data were collected through a four-point Likert scale closed questionnaire to measure the implementation of the Jigsaw cooperative learning model and students' science learning outcomes. Data were analyzed using simple linear regression analysis techniques. The results showed that the Jigsaw cooperative learning model had a significant effect on students' science learning outcomes. This finding indicates that the better the implementation of the Jigsaw cooperative learning model, the better the students' science learning outcomes. The implications of this study emphasize the importance of implementing the Jigsaw cooperative learning model as an alternative effective learning strategy to improve the quality of science learning in Islamic junior high schools.

The Mastery Learning Strategy is a learning approach oriented towards achieving comprehensive student competencies before they move on to the next material or learning stage. This approach is based on the assumption that every student has the potential to succeed, provided they are given the appropriate time, methods, and guidance. In its application, Mastery Learning emphasizes systematic learning planning, the establishment of clear learning objectives, and ongoing evaluation to measure the level of student mastery. Students who have not yet achieved competency standards will receive corrective feedback and remedial activities, while students who have completed them will be provided with enrichment programs to deepen their understanding. With this mechanism, learning gaps can be minimized so as not to hinder the learning process in the next stage. Furthermore, this strategy encourages individualized, structured, and measurable learning according to student needs. Therefore, the implementation of Mastery Learning is considered effective in improving the quality of the learning process, strengthening conceptual understanding, and contributing to optimal and sustainable learning outcomes.  

The rapid development of digital technology has significantly influenced the lives of young children, affecting their cognitive, social, and emotional development. However, this advancement also presents challenges for parents in guiding their children to avoid the negative impacts of digital exposure. This article aims to explain the importance of digital literacy for parents, identify the main challenges they face in managing children’s technology use, and offer effective strategies for digital parenting. The method used is a literature review based on recent academic sources. The findings show that parents’ digital literacy plays a crucial role in shaping healthy digital behavior in early childhood. Parents with high levels of digital literacy can act as filters, facilitators, and role models in using technology wisely. Collaboration among families, educational institutions, and the government is also necessary to create a safe and supportive digital environment for children’s optimal development.

This study examines the administrative problems in managing the Education Data Sistem (Dapodik) as a key instrument for strengthening the institutional capacity of Early Childhood Education (PAUD) in West Sumatra. Using a literature review approach, data were collected from various sources, including reports from the Ministry of Education, Culture, Research, and Technology (Kemendikbudristek), BAN PAUD and PNF, and previous studies. The findings reveal that although Dapodik reporting in West Sumatra has reached 97.8%, several challenges persist, such as limited internet access, low operator competence, insufficient technical supervision, and a lack of institutional awareness of data accuracy. These issues have led to delays in accreditation, misallocation of operational assistance funds (BOP), and ineffective educational planning. Therefore, innovative solutions such as Dapodik gamification, digital inter-institutional mentoring, and operator certification are recommended to improve data management effectiveness and sustainably strengthen PAUD institutional governance.

Hypertension is a major public health problem with an increasing prevalence and is often undetected due to its asymptomatic nature, leading to serious complications if not properly controlled. Low levels of public knowledge and poor adherence to preventive behaviors, routine health checks, and treatment remain significant challenges in hypertension management at the community level. This community service program aimed to improve public knowledge and awareness of hypertension through the implementation of the CERDIK and PATUH approaches. The program employed a community-based promotive and preventive method, including health education, blood pressure screening, and interactive discussion and counseling. The activity was conducted in RW 013, Kapuk Subdistrict, Cengkareng District, involving 60 adult and elderly participants. Knowledge levels were assessed using pre-test and post-test questionnaires and analyzed descriptively. The results demonstrated a substantial improvement in participants’ knowledge after the health education intervention, with the mean knowledge score increasing from 35 before the intervention to 80 after the intervention. In addition, the variation in knowledge levels among participants became more homogeneous following the educational activities. High community enthusiasm and active participation during the program reflected positive acceptance and engagement with the hypertension education initiative. This community service activity confirms that community-based health education using the CERDIK and PATUH approaches is effective as a promotive and preventive strategy to enhance public knowledge of hypertension. Improved knowledge is expected to encourage healthier lifestyle behaviors and greater adherence to hypertension control practices, thereby supporting sustainable and independent blood pressure management within the community.