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Dengue Hemorrhagic Fever (DHF) remains a major public health problem in Indonesia, particularly in densely populated areas. Control efforts require accurate data and spatial analysis to understand disease distribution patterns. Geographic Information System (GIS) is an effective tool for visualizing case distribution and supporting surveillance and planning of control programs at the primary healthcare level. This study aims to describe the spatial distribution of Dengue cases based on medical record data and produce a geographic distribution map to support Dengue control efforts at the Puskesmas level. This study used a quantitative descriptive design with secondary data from medical records at Karangsari Health Center. The sample consisted of 255 DHF patients in 2025, selected using a total sampling technique. Data were processed through editing, geocoding patient addresses, and spatial analysis using QGIS software.The results showed 255 Dengue  cases in 2025 with fluctuating monthly trends, peaking in April and lowest in December. Case distribution was uneven and tended to cluster. High-risk areas accounted for 15.7%–21.2%, moderate-risk areas 9.8%–15.7%, and low-risk areas 7.1%–9.8%. Megu Cilik Village had the highest proportion of cases, while other villages were categorized as moderate and low risk. This pattern indicates that Dengue incidence is influenced by environmental conditions, vector density, host factors, rainfall, and Aedes aegypti presence. GIS provides clearer spatial visualization, helping identify high-risk areas and supporting targeted public health interventions.

This study aims to design and implement an information technology-based economic and tourism potential mapping system in Tema Tana Village. This village faces several problems, including manual data management, limited access to information, and the absence of an integrated system for efficiently presenting village potential data. This study uses a descriptive approach with data collection techniques through observation, interviews, and documentation studies. In developing the system, the Waterfall method is used, consisting of the stages of planning, design, implementation, and testing. The system design was carried out using the Unified Modeling Language (UML) to ensure a clear system structure and flow. The results of the system development indicate that the system is able to present information in the form of interactive digital maps and reports that are easily accessible to users. Testing using the Black Box Testing method shows that all system features function well and are in accordance with predetermined needs. Thus, this system is expected to improve the effectiveness of data management and support better decision-making processes in developing village potential, particularly in the economic and tourism sectors.

Ramadan brings significant changes in the shopping and consumption patterns of Indonesians. There is an increase in demand for various types of food and beverages, both for sahur and iftar. The purpose of this study is to map the characteristics of food and beverage purchasing and consumption patterns in a seasonal context (Ramadan): strategic implications for UMKM in the Greater Jakarta area. The research design used is descriptive quantitative with data collection techniques implemented by distributing questionnaires. Then, the questionnaire answers are summarized to obtain the frequency distribution of each item in the questionnaire. The population of this study is people domiciled in the Greater Jakarta area. The sample size was determined using the Lameshow formula, resulting in a sample of 100 respondents spread across the Greater Jakarta area. The majority of respondents, namely 92%, stated that they experienced changes in their shopping patterns during Ramadan. The type of food purchased changed (34%) was the most dominant change. The most dominant consumption purchasing decision during Ramadan was the practicality in preparing food (40%), with favorite shopping places being traditional markets (24%) and street vendors (24%). In a consumption analysis, 83% of respondents experienced changes in their consumption patterns during Ramadan, with the most dominant change being in the amount of food consumed (29%). During sahur (pre-dawn meal), respondents tended to consume vegetables (36%) and chicken (22%). Meanwhile, fried foods (38%) and rice cakes (rice cakes) were the favorite dishes for breaking the fast.

 Road infrastructure development is an important factor in supporting community mobility and equitable regional development. However, road construction data management in Palembang City still faces various problems, such as scattered data, lack of integration, and not yet presented in a map-based visual form. This study aims to implement a Geographic Information System (GIS) as a medium for location mapping and presenting road construction data information in Sematang Borang and Kalidoni Districts, Palembang City. The methods used include field observation, road construction data collection and verification, GPS coordinate point retrieval, spatial and non-spatial data processing, and the development of a GIS system based on interactive digital maps. The results of the study indicate that the system is able to present road construction information in a structured, accurate, and easily accessible manner. This GIS helps improve the efficiency of the monitoring process, data management, and preparation of road construction reports at the Palembang City Public Works and Housing Agency. Thus, the application of GIS can be a supporting solution in decision-making and encourage the digitalization of road infrastructure data management.

Tax compliance is a crucial element in supporting state revenue and reflects the integrity of the public bureaucracy. However, the level of tax compliance among State Civil Apparatus (ASN) in Indonesia still faces various challenges. To date, the literature on ASN tax compliance tends to be partial and does not provide a comprehensive overview of the evolution of theories and emerging methodological trends. This study aims to map the development of research related to ASN tax compliance in Indonesia during the 2020–2024 period through a Systematic Literature Review (SLR) approach. This study analyzed ten scientific articles obtained from national academic databases, focusing on the variables, theories, and methods used in previous research. The analysis was conducted qualitatively and descriptively to identify patterns of findings and research gaps. The study results indicate that ASN tax compliance is influenced by factors such as tax knowledge, sanctions, awareness, trust, institutional factors, and digital technology. This study contributes by developing a research map that integrates the Theory of Planned Behavior and Institutional Trust Theory as a basis for fiscal policy for ASN. These results provide a basis for the government to design more effective tax policies and training.

The community service program entitled “Implementation of Digital Technology through Mapping MSME Locations on Google Maps to Enhance Consumer Accessibility in the Bukit Lawang Tourism Area” aims to improve digital literacy and business visibility among local micro, small, and medium enterprises (MSMEs) in Bukit Lawang, Langkat Regency, North Sumatra. The program was carried out using a participatory approach through socialization, training, and technical assistance involving four local MSMEs, consisting of two wildlife-themed painting craftsmen, one culinary business, and one souvenir craftsman. The results show that all MSMEs were successfully registered and verified on Google Maps, leading to increased consumer accessibility and customer interaction through digital reviews. In addition to expanding market reach, this activity also fostered awareness and independence among business owners in managing their online business profiles. This program demonstrates that location mapping through Google Maps serves as a simple yet effective strategy to support MSME digital transformation and strengthen community-based creative economies in rural tourism areas.

Flooding is one of the most recurrent natural disasters in Central Java Province, particularly during the rainy season. Diverse geographical characteristics, high rainfall intensity, and rapid urban development contribute to the region’s high vulnerability to flood hazards. According to the Central Java Statistics Agency, a total of 414 flood events and 407,784 affected victims were recorded between 2019 and 2021. This study aims to develop a web-based Geographic Information System (GIS) capable of mapping the spatial distribution and impact levels of floods across Central Java. The methodology includes collecting flood event data from the Central Java Statistics Agency, processing spatial data such as administrative boundary shapefiles, performing attribute integration between spatial and non-spatial datasets, and creating thematic maps using QGIS. The visualization outputs were exported into an interactive web format using the qgis2web plugin and subsequently integrated into a website developed with HTML, CSS, and JavaScript. The results show that the GIS system successfully visualizes flood-prone areas, identifies regions with high flood intensity, and enables users to explore detailed information through interactive digital maps. Additional website features—such as historical flood data, statistical summaries, and descriptive impact indicators—enhance the system's usefulness for disaster analysis. This study demonstrates the crucial role of GIS in supporting disaster mitigation, spatial planning, and policy evaluation related to flood management. Future research is recommended to incorporate more recent datasets and additional non-spatial variables such as rainfall intensity and floodwater depth to improve the system’s analytical accuracy and comprehensiveness.

This study examines human facial proportions through an anthropometric approach based on the Phi value of the Golden Ratio (φ = 1.618) to understand the relationship between mathematical proportionality and visual aesthetics. The analysis focuses on two public figures, Jin and V of BTS, who are widely recognized as visual representatives within contemporary popular culture. Using two-dimensional anthropometric measurements, four primary facial aspects were evaluated: the facial length-to-width ratio, the proportional relationship between the forehead, nose, and chin, the eye–mouth–chin vertical proportion, and the alignment of eye width with interocular distance. Each measurement was compared to the Phi value to assess its degree of proportional conformity. The findings indicate that most facial ratios observed in both Jin and V closely approximate or match the Golden Ratio, with V exhibiting the highest precision in vertical proportional measurements, while Jin demonstrates more consistent overall proportional stability across multiple facial components. These results support the use of the Phi Golden Ratio as a mathematical indicator in assessing facial proportion and aesthetic harmony. Nevertheless, the study acknowledges that visual aesthetics remain inherently subjective and are influenced by cultural context and individual perception. Thus, anthropometric analysis based on the Golden Ratio can serve as a complementary tool in understanding human facial aesthetics.  

The disparity in the quality of rehabilitation services across regional work units presents a significant challenge to effective public management. This study aims to bridge the gap between problem diagnosis and policy prediction by proposing a hybrid, data-driven approach. We integrate K-Means Clustering to map the current state of service quality and Stochastic Simulation to predict the impact of strategic interventions. Using the 2024 Public Satisfaction Index (IKM) dataset from the National Narcotics Agency (BNN), the K-Means algorithm initially identified 26 work units (15.7%) in the "Red Zone" (critical performance), highlighting urgent areas for improvement. Next, a stochastic simulation modeling a "Directed Priority Intervention" scenario was run. The results predicted a significant structural shift in the distribution of service quality, characterized by an 80.8% decrease in critical units (down to 5 units) and a 71.8% increase in excellent performing units (up to 67 units). These findings validate that the integration of clustering and simulation provides a comprehensive framework for evidence-based decision-making, enabling policymakers to optimize resource allocation and efficiently accelerate national service standardization.

Barru Regency tourism has a variety of tourist attractions, but information related to the location and potential of tourism has not been digitally integrated, making it difficult for tourists and the government to access data. This study aims to design and build a web-based Geographic Information System (GIS) that can map the location of tourist attractions in Barru Regency interactively, easily accessible, and equipped with supporting information in the form of descriptions, types of tourism, photos, and travel routes. The research method used is Research and Development (R&D) with the stages of tourist attraction surveys, interface design, feature development, and system testing. The results of the study are in the form of a website "Web-Based Geographic Information System for Mapping Tourist Attractions in Barru Regency" which is able to present tourist information systematically and easily understood. The conclusion of this study shows that the developed system can be a supporting medium in disseminating tourism information, helping tourists find tourist locations, and supporting the local government in managing and developing the tourism sector based on spatial data. This application also has the potential to be an educational and promotional tool to increase tourist visits to Barru Regency

Advancements in information technology have created significant opportunities for more efficient spatial data management, including the mapping of government buildings. To support this effort, this study develops a web-based geographic information system for mapping government buildings in Bandung City using Leaflet.js. The system aims to facilitate interactive map visualization and provide more accurate and structured access to spatial data. The Agile method is applied in the system development process, consisting of six main stages: needs identification, design, development, testing, implementation, and evaluation. The system is designed using the Laravel or CodeIgniter framework as the backend and Leaflet.js for dynamic spatial data presentation. The research results indicate that the system can display geographic information accurately and interactively while supporting search, filtering, and responsive map display features across various devices. Additionally, the Agile approach has proven to enhance development efficiency and user experience. With this system, the government can manage building data more effectively, transparently, and efficiently to support planning and decision-making based on spatial data.

Batteries are the primary component in electric motorcycle propulsion systems, playing a crucial role in storing and supplying energy. However, batteries have a limited lifespan, potentially becoming waste after their useful life. Battery waste is categorized as hazardous and toxic waste (B3) because it contains heavy metals and chemical compounds that can negatively impact human health and the environment if not managed properly. As the adoption of electric motorcycles increases in Indonesia, particularly in the Special Region of Yogyakarta (DIY), the issue of battery waste management is becoming increasingly important. Currently, there are no electric motorcycle manufacturers openly willing to manage post-life battery waste, particularly through recycling activities. This situation creates a gap that informal actors could potentially exploit. Informal actors often possess flexibility and basic technical skills, but their capacity to manage battery waste safely and sustainably still needs to be mapped and strengthened. This study focused on mapping the potential capabilities of informal actors in the Special Region of Yogyakarta by 2025. The results indicate that the potential for informal actors capable of providing battery repair services is only around 1%. This figure is very small and therefore insufficient to support future battery waste management needs. Therefore, multi-stakeholder support is needed, from the government and manufacturers to the community, to encourage capacity building among informal actors. This effort is crucial to anticipate the success of the government's 2030 target for electric vehicle conversion, while also ensuring environmental sustainability.

Infeksi Saluran Pernapasan Akut (ISPA) merupakan masalah kesehatan utama di Kabupaten Tegal, terutama menyerang anak-anak dan lansia, dengan 25.273 kasus tercatat pada Januari–Juni 2025. Faktor seperti kepadatan penduduk, polusi udara, dan sanitasi buruk mempersulit analisis konvensional dalam mengidentifikasi wilayah berisiko tinggi. Penelitian ini bertujuan mengembangkan Sistem Informasi Geografis (SIG) berbasis web untuk memetakan dan memantau kasus ISPA secara akurat menggunakan pendekatan spasial. Metode Waterfall digunakan dalam pengembangan sistem, meliputi analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Data spasial (koordinat lokasi) dan non-spasial (usia, jenis kelamin, jumlah kasus) dikumpulkan dari Dinas Kesehatan dan dianalisis menggunakan teknik kepadatan titik dan klaster untuk mengidentifikasi pola sebaran. Sistem ini dibangun dengan framework Laravel sebagai backend dan Leaflet.js untuk visualisasi peta interaktif. Hasilnya, SIG ini mampu memvisualisasikan sebaran kasus ISPA per kecamatan, mendukung Dinas Kesehatan dalam mengalokasikan sumber daya medis secara efisien dan mengidentifikasi wilayah prioritas seperti Dukuhwaru dan Tarub. Bagi masyarakat, sistem ini meningkatkan akses informasi digital, mendorong kesadaran pencegahan, dan mendukung edukasi kesehatan. Sistem ini terbukti efektif sebagai alat strategis untuk pengambilan keputusan berbasis data, mempercepat respons terhadap ISPA, dan menjadi fondasi untuk pengembangan SIG dalam memantau penyakit lain di masa depan.

Kecelakaan lalu lintas di Kabupaten Brebes merupakan masalah kritis karena tingginya frekuensi insiden yang terjadi di wilayah tersebut. Penelitian ini bertujuan untuk menentukan area yang rentan terhadap kecelakaan dengan menggunakan algoritma K-Means Clustering , yang mendukung proses pengambilan keputusan berbasis data. Isu utama yang dieksplorasi dalam penelitian ini adalah bagaimana algoritma K-Means dapat diimplementasikan untuk mengelompokkan zona rawan kecelakaan dan meningkatkan kesadaran masyarakat terhadap keselamatan jalan. Metodologi yang digunakan meliputi pengumpulan data melalui tinjauan pustaka, observasi langsung, dan wawancara, yang dilanjutkan dengan penggunaan algoritma K-Means untuk mengklasifikasikan data kecelakaan berdasarkan jumlah kejadian, korban jiwa, dan cedera. Temuan menunjukkan bahwa algoritma K-Means secara efektif mengelompokkan lokasi rawan kecelakaan ke dalam tiga tingkat risiko yang berbeda: tinggi, sedang, dan rendah. Dengan demikian, informasi yang terklasifikasi ini dapat membantu otoritas terkait dalam meningkatkan langkah-langkah keselamatan lalu lintas dan mengedukasi masyarakat tentang area berisiko tinggi. Hasil penelitian ini diharapkan dapat berkontribusi pada pengembangan kebijakan keselamatan lalu lintas yang lebih terinformasi dan strategis di Kabupaten Brebes.

Pendistribusian bantuan yang efisien menjadi tantangan utama dalam proses penyaluran. Penelitian ini bertujuan untuk merancang sistem cerdas yang mampu memetakan dan menyalurkan bantuan secara optimal dengan pendekatan algoritmik. Metodologi yang digunakan meliputi pemodelan sistem dengan menggunakan Unified Modeling Language (UML), perancangan struktur basis data relasional, dan perancangan algoritma penyaluran berdasarkan kriteria prioritas dan efisiensi logistik. UML digunakan untuk menggambarkan arsitektur sistem secara visual, meliputi use case, class, dan diagram aktivitas. Perancangan basis data dilakukan untuk memastikan integritas data dan kemudahan pengelolaan informasi bantuan, lokasi, dan kebutuhan penerima. Algoritma yang dikembangkan memanfaatkan pendekatan heuristik untuk menentukan rute penyaluran dan prioritas penerima berdasarkan parameter lokasi geografis. Hasil penelitian ini berupa prototipe model konseptual yang dapat digunakan sebagai dasar pengembangan sistem cerdas berbasis teknologi untuk mendukung proses penyaluran bantuan yang adaptif dan responsif.

Penerapan konsep kota cerdas menjadi arah strategis dalam mengelola kompleksitas urbanisasi sekaligus meningkatkan kualitas sumber daya manusia agar lebih adaptif dan kompetitif. Namun, dalam praktiknya, masih ditemukan berbagai permasalahan seperti keterbatasan infrastruktur digital, rendahnya literasi teknologi masyarakat, serta belum optimalnya integrasi teknologi dalam tata kelola kota. Kesenjangan ini dapat menghambat upaya membangun SDM yang berdaya saing tinggi. Studi ini bertujuan untuk menganalisis bagaimana teknologi kecerdasan buatan dapat mendukung transformasi kota cerdas dalam kerangka peningkatan daya saing manusia. Metode yang digunakan adalah pendekatan deskriptif berbasis studi literatur, dengan fokus pada pemetaan peran kecerdasan buatan dalam mendukung pilar smart city: smart governance, smart economy, smart people, smart mobility, smart environment, smart society, dan smart living. Hasil kajian menunjukkan bahwa pemanfaatan kecerdasan buatan mampu mendorong efisiensi layanan publik, memperkuat sistem pendidikan berbasis personalisasi, mendukung analitik data untuk pengambilan keputusan, serta menciptakan ekosistem inovatif yang merangsang pengembangan kompetensi SDM. Selain itu, sinergi antara pemerintah, sektor industri, dan lembaga pendidikan menjadi kunci dalam memastikan bahwa transformasi digital yang dilakukan mampu menjangkau seluruh lapisan masyarakat secara adil dan berkelanjutan. Dengan pemanfaatan kecerdasan buatan secara inklusif dan etis, kota cerdas tidak hanya menjadi solusi teknologi, tetapi juga platform strategis dalam mencetak manusia yang unggul dan siap bersaing dalam era global.

Sampah plastik menjadi masalah krusial di dunia mengingat jumlahnya terus bertambah hingga mencapai 14 juta ton setiap tahunnya. Sampah plastik yang tidak terurai menimbulkan masalah lingkungan, sehingga diperlukan penanganan yang signifikan dalam mengatasi masalah sampah tersebut. Di negara-negara berkembang , masalah sampah plastik masih menjadi tantangan, seperti di Thailand yang tercatat pada tahun 2024 sebagai salah satu negara dengan produksi sampah plastik tertinggi hingga mencapai 45kg/kapita/tahun, sedangkan Indonesia sebesar 15kg/kapita/tahun. Tujuan dari penelitian ini adalah untuk menganalisis dan membandingkan kebijakan pengelolaan sampah plastik di Indonesia dan Thailand, guna mengidentifikasi program-program yang dilaksanakan kedua negara tersebut untuk mengurangi volume sampah plastik. Metode penelitian ini menggunakan library research yang bertujuan untuk menganalisis dan memahami kebijakan pengelolaan sampah plastik di Indonesia dan Thailand. Penelitian ini relevan untuk dilakukan mengingat masih terbatasnya studi banding yang secara khusus membahas kebijakan pengelolaan sampah plastik di negara-negara berkembang, khususnya antara Indonesia dan Thailand. Padahal, kedua negara tersebut menghadapi tantangan yang cukup berat terkait dengan meningkatnya volume sampah plastik setiap tahunnya. Minimnya penelitian sejenis menjadi alasan utama pemilihan topik ini, guna mengisi research gap yang ada. Hasil penelitian menunjukkan bahwa kedua negara memiliki kebijakan nasional sebagai langkah penanggulangan permasalahan sampah plastik, di Indonesia diatur dalam Undang-Undang Nomor 18 Tahun 2008 dengan prinsip 3R, sedangkan Thailand dengan Peta Jalan Pengelolaan Sampah Plastik 2018-2030. Melalui pendekatan studi pustaka, penelitian ini mampu memberikan sumbangan akademis berupa pemetaan kebijakan dan evaluasi implementasi program yang telah dilakukan di masing-masing negara, sebagai dasar penyusunan strategi pengelolaan sampah plastik yang lebih efektif dan berkelanjutan.  

This study aims to systematically map the development of literature on Good Corporate Governance (GCG) using a mixed-method approach that integrates bibliometric analysis with VOSviewer and a systematic literature review. The research focuses on publications from the last five years (2020–2024), with data collected using the Publish or Perish software and the keyword “Corporate Governance.” The initial search identified 772 relevant scientific articles that met the inclusion criteria. Through network visualization analysis using VOSviewer, the study reveals that GCG research can be categorized into four thematic clusters, each representing distinct areas of focus. These clusters highlight key topics such as corporate performance, board structure, stakeholder relations, and sustainability practices, reflecting the diverse and evolving nature of GCG research. The findings provide valuable insights into the intellectual structure and research trends within the field, offering a foundation for future scholarly exploration and practical application.

In an era of increasingly advanced technology, seabed mapping is very important in various fields, such as ship navigation, underwater infrastructure development, and marine environmental research. The use of a seabed sounding system at PT PAL has improved the quality of seabed mapping. The purpose of this study is to analyze the seabed at the PT PAL Surabaya pier in order to find out through seabed mapping using a bathymetric survey system and to find out the level of shallowing at each pier and which area is safe for ships to dock. This study uses a quantitative descriptive method. Pier sounding data using an echosounder tool at the PT. PAL Surabaya pier. The sounding data obtained starting from 2023 contains information about the depth of the pier, and will later be used to calculate Tool Correction, Fluctuation Correction, LWS (Low Water Spring) Correction, and Real Depth (actual depth). The results of the study show that based on the results of a bathymetric survey at PT. PAL in September 2023, the depth data at the West Peninsula pier is at a shallowest depth of 4 meters and the deepest is 6 meters. While the shallowest depth at the West Bandar pier is 3 meters and the deepest is 6 meters. At the North Peninsula pier the deepest depth is 8 meters marked with a solid green color. From these results it can be seen what ships can enter each particular pier area, namely ships that have a minimum draft of 2.65 m.

This study aims to produce a geographic information system based on a school mapping website in Entikong District. A total of 12 Elementary Schools (SD), 5 Junior High Schools (SMP), 1 Madrasah Tsanawiyah School (MTS) and 2 Vocational High Schools (SMK) were the subjects of this study. The process of creating a geographic information system goes through several stages, including system planning using flowcharts and unified modeling language (UML), at the design stage, the system is designed in a wireframe using mockflow tools wireframing, to creating a geographic information system using laravel, react. js, mapbox and progressive web apss. Then the system is tested using blackbox testing. This system makes it easy for users to find out the location of schools in Entikong District which is supported by the open direction feature. Based on this research, it allows users to search and find relevant information for each school in Entikong District.