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Traffic performance on urban road segments is strongly affected by vehicle volume and travel time, particularly during peak periods. This study analyzes the relationship between travel duration and the total number of vehicles passing along Otto Iskandar Road as an illustration of urban traffic conditions. Data were collected through field surveys, focusing on two main variables: average vehicle travel time and total traffic volume. Statistical analysis was performed using IBM SPSS Statistics, including normality testing and the Wilcoxon Signed Rank Test to identify potential differences between the observed variables. The results show a difference in average values between travel duration and vehicle volume; however, this difference is not statistically significant at the 95% confidence level (p = 0.180). These findings indicate that increases in traffic volume do not always lead to proportional increases in travel time, although they can still influence the stability and efficiency of traffic flow. The results are consistent with previous studies, such as Halim (2021), who reported that U-turn movements affect speed and traffic performance, and Handayani et al. (2024), who found that parking activities and vehicle maneuvers reduce road capacity. Other studies also highlight the impact of side friction and traffic flow variations on speed and saturation levels. Overall, this study emphasizes the importance of managing vehicle flow and monitoring travel time in urban transportation planning and traffic management.

Education functions as a central pillar in shaping the quality of human capital, encompassing knowledge, skills, and health, and thus plays a significant role in influencing Indonesia’s Human Development Index (HDI). This study employs a qualitative literature review by examining key theoretical frameworks in the economics of education, such as Becker’s Human Capital Theory and Schultz’s investment model, supported by relevant national empirical data. The findings indicate a very strong relationship between education and HDI improvement. This is reflected in a correlation coefficient of 0.943 between education expenditure and Indonesia’s HDI during the 2004–2023 period. The results suggest that an increase in education spending of IDR 1 trillion has the potential to raise the HDI by approximately 0.002 points. These findings confirm that investment in education not only enhances the quality of human resources but also directly contributes to sustainable national development. Despite the positive trend and the achievement of an HDI score of 75.02 in 2024, several challenges persist, particularly regional disparities, unequal access to education, and quality gaps between urban and rural areas. Therefore, more inclusive education policies, equitable access, and strengthened vocational education and training are essential to ensure that the benefits of human capital development are distributed evenly across all regions of Indonesia.

Schizophrenia is a complex psychiatric disorder that disrupts cognition, emotion, perception, and behavior, significantly affecting daily functioning and social interaction. Paranoid schizophrenia, a well-recognized subtype, is characterized by persistent paranoid delusions, frequently accompanied by hallucinations—most commonly auditory—and other perceptual disturbances, often leading to unpredictable or aggressive behaviors. A 34-year-old male patient, Mr. A, was brought to Cut Meutia General Hospital on February 9, 2024, by his father and the village chief due to episodes of aggression. The patient reported that his behavior occurred because a creature was controlling his body and disturbing him. His family indicated that he had experienced similar episodes in the past and had previously been hospitalized for the same condition. Based on established clinical guidelines, he was diagnosed with paranoid schizophrenia. Pharmacological management was initiated, including risperidone, clozapine, lodemer injection, diazepam injection, divalproex, and trihexyphenidyl, targeting psychotic symptoms, agitation, and behavioral disturbances, with the aim of stabilizing his mental state, preventing further aggressive episodes, and supporting overall functional recovery.

Population density plays a critical role in shaping public health outcomes and environmental quality, particularly in rapidly urbanizing regions. This study aims to analyze the relationship between high population density and its impacts on sanitation conditions, air quality, access to clean water, and the incidence of various diseases in densely populated areas. The research adopts a qualitative descriptive approach by combining a comprehensive literature review with field observations conducted in several urban areas characterized by high population concentration. The findings reveal that increased population density is closely associated with environmental degradation, including inadequate sanitation systems, reduced air quality due to pollution, and limited availability of clean water. These environmental challenges contribute directly to a higher prevalence of health problems, such as respiratory infections, waterborne diseases, and other communicable illnesses. Overcrowded living conditions also intensify the spread of diseases, placing additional pressure on public health infrastructure. Furthermore, the study highlights that insufficient public facilities and poor environmental management exacerbate the negative effects of population density on both health and the environment. To address these challenges, effective strategies are required, including population growth control, improved urban planning, and enhanced investment in public health and environmental sanitation facilities. Strengthening community awareness and participation in maintaining environmental cleanliness is also essential. Overall, this study emphasizes the need for integrated policies that balance population management with sustainable environmental and public health development.  

Social loans are an important tool for developing local economies, especially in remote areas such as rural areas. The Indonesian Village City Savings and Loan Cooperative (KSU) is one of the business entities that provides loan capital to its members. The purpose of this study is to determine the mechanism of social loan agreements in the Multipurpose Cooperative (KSU) of the Indonesian Village City and to determine the perspective of Islamic Economic Law on loan agreements in the Multipurpose Cooperative (KSU) of the Indonesian Village City. This research method uses a descriptive research type with a qualitative approach. Data collection was carried out through observation and interviews with the Management and members of the Savings and Loan Cooperative (KSU) of the Indonesian City Village. The results of the study show that first, the loan application procedure involves several steps such as becoming a member, filling out forms, completing documents and the approval stage. The maximum loan provision is 80% of the savings balance with a loan tenor of 12 months and 18 months. The payment system is made in installments through salary deductions and is subject to a 5% interest. For borrowing members who are late, there are no sanctions or fines but there is a time dispensation. Second, the loan application and management mechanism at the Multipurpose Cooperative has met sharia principles through transparent and structured governance, such as deductions from salary installments and a guarantee policy provided in the form of the amount of member savings balances. However, social loans at the Multipurpose Cooperative contain an element of benefit (profit) of 5%, which according to some scholars can be classified as usury because of the addition of value to the principal loan, even though the benefit is returned to members through the Business Result Remainder (SHU).

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.  

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.

Diseases in primary health services exhibit complex spatial-temporal dynamics due to urbanization and population mobility. Conventional surveillance approaches are difficult to capture these patterns adaptively. Machine learning (ML) based on spatio-temporal modeling offers a solution with the ability to detect disease clusters automatically and with high precision. Research Objectives: This research aims to develop a machine learning model to detect disease hotspots from primary service data in Indonesia, with a focus on improving prediction accuracy, interpretability, and relevance of health policies. Methodology: The primary service dataset for 2024 (5,343 entries) was analyzed using three ML models Gradient Boosting Machine (GBM), Temporal Random Forest (TRF), and Multi-EigenSpot with spatial (village) and temporal (week, month) features. Performance evaluation includes predictive (AUC, F1-score) and spatial (Moran's I, Spatio-Temporal Correlation Index) metrics. Results: The results showed that Multi-EigenSpot achieved the best performance (AUC=0.91; F1=0.86), with the detection of dominant hotspots in Sungai Asam and Beringin Villages. Moran's I value of 0.63 indicates a strong spatial autocorrelation, while STCI=0.57 indicates moderate temporal stability. Conclusions: ML-based spatio-temporal models are effective in identifying hidden disease patterns and have the potential to be integrated into national digital surveillance systems. This approach supports precision public health by providing a scientific basis for real-time location- and time-based intervention policies.

The development of value-added corn-based beverages representation an emerging opportunity within the agribusiness sector, particularly for student-led entrepreneurial initiatives seeking to utilize local agricultural resources. This study examines consumer perceptions of Zeagrain corn milk, a sweet-corn-derived drink positioned as a healthy, practical, and affordable alternative within the ready-to-drink market segment. The research aims to identify key attributes influencing consumer interest, evaluate perceived product performance, and assess the potential competitiveness of Zeagrain as a new agribusiness product. Data were collected using an online quantitative survey targeting respondents aged 17–35 years who represent potential urban consumers. The questionnaire measured demographic characteristics, consumption patterns of similar beverages, perceived importance and performance of product attributes, and purchase intention. The findings are expected to provide insights into consumer expectations regarding taste, packaging, nutritional value, and price. The results further serve as empirical input for improving product development strategies and enhancing the market readiness of Zeagrain. Ultimately, this study contributes to strengthening the commercialization prospects of corn-based beverages and supports innovation efforts among young agripreneurs seeking to optimize local commodities.  

The development of science and technology has encouraged the utilization of graph theory in solving optimization problems, particularly in transportation systems and tourism route planning. Medan City, as a metropolitan area with dense road networks and widely dispersed tourist destinations, faces challenges in selecting efficient travel routes. This research aims to determine the optimal route between tourist destinations in Medan City using the Minimum Spanning Tree (MST) method with Prim’s Algorithm. The research was conducted using a weighted graph modeling approach, where each tourist destination is represented as a vertex and the distance between destinations is represented as an edge weight. Distance data and estimated travel time were obtained through digital mapping using Google Maps and then analyzed through iterations of Prim’s Algorithm to produce a minimum spanning tree without forming cycles. The results show that all 23 tourist destinations are successfully connected in a single MST structure with a minimum total distance of 68.97 km and a travel time of approximately 199 minutes or 3 hours and 19 minutes. This model is expected to serve as a reference for tourism planning and support urban transportation efficiency based on mathematical computation.

This research examines the use of blockchain technology to support energy sustainability in urban areas. Blockchain offers transparency, security, and efficiency in recording and distributing energy data, potentially optimizing renewable energy use and reducing carbon emissions. The research method involves literature analysis and simulations of blockchain applications in urban energy systems. The results show that blockchain implementation can increase energy distribution efficiency by up to 20%, reduce data reporting time by up to 99%, and reduce carbon emissions by 50%. In conclusion, blockchain technology can be a strategic innovation in supporting the transition to a sustainable and environmentally friendly energy system.

Village entrepreneurship is an initiative designed to stimulate regional economic growth by accelerating the development of rural areas, which have long been perceived as slow, less productive, and lagging behind urban centers. The creation of entrepreneurial villages offers a concrete strategy to enhance community productivity because it encourages all components of the village government, residents, and local institutions to participate in structured and collaborative entrepreneurial activities. Such villages are expected to generate new economic opportunities, strengthen local industries, and increase community independence. However, initial observations from this Community Service program show that partner villages still face significant barriers, including limited land area, geographical remoteness, and inadequate human and natural resources. Many peripheral villages have not yet utilized digital technology effectively, making it difficult to expand markets or access broader economic networks. In addition, challenges related to financial access, limited talent development, socio-cultural constraints, and weak market infrastructure continue to hinder economic progress. These conditions demonstrate the urgent need for strategic assistance, capacity-building programs, and stronger support systems to help villages transform into sustainable entrepreneurial ecosystems capable of contributing to long-term regional development.

The development of smart cities has become a strategic priority for local governments seeking to enhance citizens’ quality of life, strengthen sustainable development, and improve public space management. Kambang Iwak Park in Palembang represents one of the city’s major urban green spaces that has undergone significant revitalization and serves as a case study for smart city implementation in public areas. This study analyzes the application of Cohen’s six smart city dimensions—Smart People, Smart Living, Smart Government, Smart Economy, Smart Mobility, and Smart Environment—and their relationship with Carmona’s six urban design dimensions. This qualitative–descriptive research utilizes visual observations, historical data, and facility documentation extracted from the provided presentation. The findings indicate that Kambang Iwak Park effectively integrates several smart city dimensions, particularly Smart Living, Smart Environment, and Smart Mobility. Nonetheless, issues such as irregular parking, insufficient smart services, and poorly organized street vendors remain challenges. The study concludes that integrating smart city principles with urban design concepts enhances public space quality and supports sustainable urban development in Palembang.

The high-value horticulture sector has gained increasing attention in modern agricultural development, particularly in the cultivation of premium melon through greenhouse and fertigation systems. The Satria Tani Hanggawana Cooperative has initiated premium melon farming to enhance members’ income; however, investment decisions in high-value commodities require a comprehensive financial feasibility assessment to ensure business sustainability. This study aims to analyze the financial feasibility of premium melon farming by examining production costs, revenue, income, and financial efficiency indicators. Using a descriptive method with qualitative and quantitative approaches, the research was conducted through direct observation and interviews in two active greenhouses. The results show that the total production cost for one planting season reached Rp20,413,750, dominated by variable costs, reflecting the intensive input requirement to maintain product quality. The total revenue of Rp33,950,000 generated a net income of Rp13,536,250, indicating that the enterprise is financially profitable. The R/C Ratio of 1.67 confirms that the business operates efficiently, while the B/C Ratio of 0.67 indicates that net benefits remain below total costs due to reduced production caused by pest disturbances. The break-even analysis further shows that actual production far exceeded the minimum threshold required to avoid losses. Overall, the findings demonstrate that premium melon farming is financially viable, yet improvements in cost management, production monitoring, and greenhouse operational efficiency are essential to enhance profitability and long-term sustainability for the cooperative.

The Family Hope Program (PKH) is one of the main instruments of social protection policies in Indonesia that aims to reduce poverty through conditional social assistance. However, in its implementation, this program still faces various problems related to the accuracy of the aid distribution targets, especially in urban areas such as Jagakarsa District, South Jakarta. This study aims to analyze various problems in the distribution of PKH social assistance, assess their impact on the effectiveness of poverty alleviation, and identify strategies that can ensure targeted assistance. The approach used is qualitative descriptive with a case study method, through data collection techniques in the form of in-depth interviews, participatory observations, and documentation of PKH companions, Beneficiary Families (KPM), and village officials in Jagakarsa District. The results of the study show that although PKH has provided real benefits for most KPMs, its implementation is still constrained by inaccurate data, limited capacity of companions, low digital literacy, and weak coordination between agencies. On the other hand, targeted distribution of assistance has been proven to increase access to education and health, improve household economic conditions, and encourage behavioral changes towards independence. Therefore, an integrated strategy is needed including strengthening the capacity of social companions, digitizing the distribution system, active community participation, and local culture-based empowerment education to ensure the long-term effectiveness of PKH in reducing poverty rates.

Hypertension is one of the main risk factors that can cause damage to target organs, including the eyes. One of the complications that often occur in hypertensive patients is hypertensive retinopathy, which is damage to retinal blood vessels due to a persistent increase in blood pressure. This damage can be progressive and asymptomatic in the early stages, so it often goes undetected until severe visual disturbances appear. This study aims to identify and analyze the role of blood pressure control in the prevention of ocular complications in hypertensive patients through a literature review. The method used is literature review by selecting national and international research articles published in 2021–2025 from the PubMed, ScienceDirect, Google Scholar, and Cochrane Library databases. Inclusion criteria include full-text articles, relevant research designs, and discussing the relationship between blood pressure control and ocular complications. The results of the study showed that uncontrolled blood pressure increased the risk of retinal damage, decreased ocular perfusion, and microvascular changes detected through funduscopy and Optical Coherence Tomography Angiography (OCTA) examinations. Some studies have concluded that stable blood pressure control, not just the average value of blood pressure, has a significant effect in preventing the progression of hypertensive retinopathy. In addition, regular eye exams have been proven to be able to detect retinal changes early, so that preventive interventions can be carried out in a timely manner. Thus, optimal blood pressure control, therapy adherence, healthy lifestyle education, and regular retinal examinations are effective strategies in preventing ocular complications and maintaining vision quality in hypertensive patients.

This study aims to examine the influence of brand image, location, and price on customers’ purchase intention at the USD Bundle thrifting store in Kediri. This research employed a quantitative approach using purposive sampling, involving 152 respondents who were active customers of USD Bundle. Data were analyzed through classical assumption tests, multiple linear regression, t-test, and F-test using SPSS 25. The results indicate that brand image, location, and price each have a positive and significant effect on purchase intention. Simultaneously, these variables also show a positive and significant impact, with a coefficient of determination (R²) of 0.954, meaning that 95.4% of the variation in purchase intention is explained by brand image, location, and price. These findings highlight that a strong brand image, strategic location, and competitive pricing play essential roles in increasing customer purchase intention in thrifting businesses, particularly within urban environments such as Kediri City.

Zinc (Zn) is one of the most common heavy metal contaminants found in industrial wastewater and solid residues such as slag, electroplating waste, and metal ash. At excessive concentrations, Zn can cause environmental disturbances, including toxicity to aquatic organisms, disruption of microbial activity, and groundwater contamination. Long-term exposure may also lead to bioaccumulation and potential health risks to humans. This article presents a comprehensive literature review that discusses the chemical properties of Zn, its environmental behavior, and the development of recent treatment technologies within the last five years. Several techniques, including adsorption using modified or composite materials, biosorption utilizing microalgae and agricultural biomass, as well as solidification–stabilization with amendment agents such as biochar or iron-sulfide compounds, are evaluated and compared. The literature indicates that no single treatment method is universally effective for all waste types; therefore, hybrid or integrated treatment systems are considered more efficient and sustainable. Based on the reviewed evidence, this study proposes an engineering concept that emphasizes environmental safety, cost-effectiveness, and industrial applicability.

This study examines the communication strategy implemented by the Surabaya Transportation Agency in providing education about Traffic Impact Analysis (Andalalin) at Siola Mall with the aim of increasing public understanding and trust in the service. Using a qualitative descriptive approach, data were collected through field observations, activity documentation, and literature studies, then analyzed using the Miles and Huberman model. The findings show that humanely designed communication—prioritizing empathy, information openness, and quality assurance of service—can strengthen the relationship between officers and the community and increase the level of public trust. Communication practices include the delivery of simplified technical information, two-way dialogue to accommodate citizens' aspirations, and demonstrations of transparent Andalalin procedures. Factors that support success include officer competence, consistency of message, and the use of communication media that suits the character of the audience. The obstacles found include initial resistance from the community, limited resources, and the complexity of urban transportation issues. The research recommendations include strengthening the communication capacity of officers, developing participatory educational materials, and cross-sector collaboration to ensure the sustainability of Andalalin's education program and improving the quality of public services in Surabaya.

The rapid pace of housing development in Bogor has created a gap with the provision of formal infrastructure, which has encouraged the emergence of community-led self-help road initiatives. While capable of addressing urgent connectivity needs, these road formations often ignore essential design standards, particularly those related to circulation and environmental context. This study focuses on a specific challenge in Bogor, namely high rainfall ("force of nature"), which contributes to road degradation, causing flooding, and reducing user comfort. Adopting a descriptive qualitative method, this study analyzes the existing self-help access conditions through field observations and a literature review focusing on Water Sensitive Urban Design (WSUD) principles and circulation theory. Field findings confirm that the current design fails to manage surface runoff, resulting in low infiltration and the emergence of functional space conflicts (e.g., for parking and social activities). As a solution, this study proposes an integrated design demonstration that combines porous materials and micro-drainage to manage the force of nature, thereby improving circulation comfort and supporting active living for residents.