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Street names are a vital public information tool that helps people identify locations, find addresses, and reinforce the identity of a region. The availability of street names also supports the effectiveness of administrative services, community mobility, and emergency service access. Srigonco Village, Bantur District, Malang Regency, still faces a lack of street names, making it difficult for residents and visitors to find specific addresses. Based on this situation, students from the 14th Community Service Program (KKN-T) at Raden Rahmat Islamic University (Unira) Malang implemented a community service program involving mapping and installing street names at several strategic locations in the village. The implementation method included field observation, street name data collection, coordination with village officials, design and production, and installation of the street names. This program aims to improve access to location information, clarify regional identity, and support orderly village administration. The results of the activity indicate that the presence of street names provides tangible benefits to the community, particularly in facilitating address searches, improving environmental order, and helping visitors to identify Srigonco Village more easily and effectively.

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.

Village regional information plays an important role in supporting community services and effective development planning. However, some rural areas still face limitations in information regarding hamlet boundaries and road access, including Lunto Barat Village, Lembah Segar District, Sawahlunto City. This Community Service Program (KKN) aimed to improve the availability and accessibility of village regional information through hamlet and road mapping activities. The methods applied included field observation, direct road data collection with village officials, preparation of hamlet maps, and environmental development activities through community-based planting. The results indicated that the mapping activities provided clearer information on hamlet boundaries and village road networks, thereby facilitating community access to regional information. Furthermore, the resulting village map helped both residents and visitors locate destinations more effectively. This program demonstrates that village mapping activities not only enhance access to regional information but also contribute to more structured and participatory village development.

Village regional information plays an important role in supporting community services and effective development planning. However, some rural areas still face limitations in information regarding hamlet boundaries and road access, including Lunto Barat Village, Lembah Segar District, Sawahlunto City. This Community Service Program (KKN) aimed to improve the availability and accessibility of village regional information through hamlet and road mapping activities. The methods applied included field observation, direct road data collection with village officials, preparation of hamlet maps, and environmental development activities through community-based planting. The results indicated that the mapping activities provided clearer information on hamlet boundaries and village road networks, thereby facilitating community access to regional information. Furthermore, the resulting village map helped both residents and visitors locate destinations more effectively. This program demonstrates that village mapping activities not only enhance access to regional information but also contribute to more structured and participatory village development.

This research is motivated by the complex problems of street children, vagrants, and beggars in Jambi City, which are influenced by poverty, urbanization, and weak social protection. This phenomenon not only impacts public order but also reflects the suboptimal social welfare system at the regional level. Although local governments have implemented various policies through social order and rehabilitation approaches, their effectiveness still faces various structural and cultural challenges. This study uses Bryson's Policy Implementation Mapping theoretical framework, which includes indicators of interests, resources, channels, potential participation, level of influence, implications, and actions as the main analysis. The research approach used is a qualitative case study design to understand the dynamics of policy implementation in depth. Data collection techniques were carried out through in-depth interviews, participant observation, and documentation, with informants selected using purposive sampling until data saturation was achieved. The results show that policy implementation mapping has been carried out through collaboration between the Social Service and the Public Order Agency (Satpol PP) with a structured preventive, repressive, and rehabilitative approach. However, implementation has not been optimal due to limited rehabilitation facilities, lack of coordination between agencies, low community participation, and high mobility of beggars from outside the region. Furthermore, there is a gap between high administrative achievements and the reality on the ground, which still shows a high rate of returning to the streets. This study concludes that mapping policy implementation requires a more holistic, sustainable approach based on economic empowerment and strengthened cross-sectoral coordination to address this social issue more effectively and effectively.

The objectives of the study are: 1) To analyze the level of vulnerability of agricultural land to flash floods in Nagari Pauh Kamang Mudiak, 2) To analyze the condition of agricultural land in Nagari Pauh Kamang Mudiak before and after the flash flood. The results of this study: 1) Analysis of the level of vulnerability of agricultural land to flash floods in Nagari Pauh Kamang Mudiak, namely in the safe class covering an area of 8.34 hectares, the non-vulnerable class covering an area of 12.01 hectares, the vulnerable class covering an area of 51.91 hectares and the very vulnerable class covering an area of 18.13 hectares. This shows that most of the research areas have a high level of vulnerability to flash floods. Furthermore, the analysis of flash flood risks with 4 risk classifications is an area with a low risk of 16.94 hectares, a moderate area of 30.60 hectares, a high area of 37.78 hectares, and a very high area of 5.07 hectares. Based on the results of this analysis, the agricultural land most affected by the flash flood in Nagari Pauh Kamang Mudiak is rice fields covering an area of 72.2 hectares, 2) Analysis of the condition of agricultural land vegetation in Nagari Pauh Kamang Mudiak before and after the flash flood, namely with 5 classes, namely the very low greenness class covering an area of 12.69 hectares, low covering an area of 29.69 hectares, medium covering an area of 13.22 hectares, and high covering an area of 34.84 hectares. The results of the accuracy test using overall accuracy reached a suitability of 89.58% and the kappa coefficient reached a suitability of 84.32%, meaning good accuracysuitability between the classification results and actual conditions in the field.

The integration of Artificial Intelligence (AI) into religious education systems has become an increasingly pressing topic amidst the global digitalization wave. This study aims to map the scientific landscape, growth trends, and conceptual structure of research regarding the application of AI in Islamic Education. Employing a bibliometric analysis approach assisted by the R-package Biblioshiny software, this study analyzed 30 selected documents published between 2018 and 2025. The results indicate that this topic is a rapidly emerging research field, characterized by a high annual growth rate of 51.12%. A significant surge in publications was identified starting in 2023, strongly correlating with the emergence of generative AI technologies. Geographically, Indonesia dominates the global contribution map as the most productive and most cited country, far surpassing other nations. Thematic analysis reveals that current research focus centers on the use of ChatGPT in higher education and the development of intelligent technologies for Quran memorization. This study concludes that although still in its nascent stage, the integration of AI in Islamic education holds immense potential but requires broader international research collaboration.

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.

Pengunaan peralatan elektromedik merupakan faktor krusial dalam pemantauan kesehatan bayi dan anak terutama pada akurasi hasil yang di peroleh. Sesuai dari data yang didapat bahwa mitra telah memiliki sarana medis dasar yang memadai, namun diperlukan standarisasi manajemen pemeliharaan untuk menjaga fungsionalitas alat dalam jangka panjang. Kegiatan pengabdian masyarakat ini bertujuan untuk memperkuat kapasitas teknis para pengasuh dalam pengoperasian dan perawatan peralatan medis secara mandiri. Metode yang digunakan meliputi pemetaan kondisi alat (inventarisasi), sosialisasi prosedur teknis, serta simulasi praktik pemeliharaan preventif. Hasil kegiatan menunjukkan adanya peningkatan pemahaman praktis pengasuh mengenai aspek teknis alat, seperti perawatan mandiri, perawatan sensor oximeter, dan manajemen penyimpanan perangkat elektronik. Sebagai bentuk keberlanjutan program, telah disusun "Buku Saku SOP Perawatan Peralatan Medis" yang berfungsi sebagai panduan operasional harian bagi staf pengasuh. Luaran dari pengabdian ini memberikan dampak positif bagi mitra berupa tersedianya panduan sistem perawatan yang lebih terorganisir. Simpulan dari kegiatan ini menunjukkan bahwa integrasi antara edukasi teknis dan penyediaan panduan tertulis mampu mengoptimalkan masa pakai alat medis serta menjamin validitas hasil pemeriksaan kesehatan anak. Sinergi ini diharapkan dapat menjadi model bagi lembaga sosial dalam mewujudkan layanan kesehatan mandiri yang berkualitas

Pasar merupakan bagian penting dalam perkembangan arsitektur pembangunan sebuah kota di Indonesia. Tidak hanya berperan dalam aspek ekonomi, pasar juga berperan dalam aspek sosial budaya masyarakat di wilayahnya. Pentingnya peran pasar tradisional ini direspon pemerintah melalui pelbagai program revitalisasi agar lebih mengikuti konteks zaman dan tidak kalah bersaing dengan jenis pasar yang lain. Namun permasalahan yang baru muncul setelah program revitalisasi dilaksanakan terutama menurunnya transaksi ekonomi dan tingkat keramaian di pasar. Revitalisasi Pasar Prawirotaman menjadi kasus yang diteliti pada permasalahan ini. Penelitian ini bertujuan untuk mengidentifikasi pola perilaku pengguna pasar tradisional untuk mengetahui tingkat optimalisasi fungsi ruang bangunan pasar. Metode yang digunakan pada penelitian ini adalah pemetaan perilaku pengguna pasar melalui place-centered mapping dengan pendekatan kualitatif. Penelitian ini menemukan bahwa pola perilaku pengguna memiliki jumlah frekuensi kegiatan berbeda di setiap lantainya dan pemilihan elemen aksesibilitas oleh pengguna bersifat langsung dan terarah sehingga mempengaruhi tingkat optimalisasi fungsi ruang.

 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.

Decoction is a traditional extraction method rooted in ethnobotany; however, meeting quality standards in modern pharmaceutical research remains a major challenge. This study aims to map global research trends regarding phenolic and flavonoid compounds in decoctions over the 2015–2025 period through bibliometric analysis. Data were retrieved from the Scopus database and analyzed using VOSviewer 1.6.20 software, employing the fractional counting method to ensure a more proportional weighting of keyword relationships. The results indicate a fluctuating trend that significantly increased toward the end of the period, peaking at 78 documents in 2025, with India and China emerging as the primary contributors. Network visualization and research density analysis reveal that the global research focus remains centered on antioxidant capacity (DPPH, TPC, and TFC), while decoction itself occupies a supporting position within the research map. This study concludes that decoction has not yet become a central focus in modern pharmaceutical research but serves primarily as a vehicle for presenting active compounds. There remains a significant gap between traditional decoction use and the application of advanced analytical technologies such as HPLC and antibacterial testing, representing a substantial opportunity for future research to validate the safety and efficacy of decoctions more scientifically and through standardized approaches.

The global energy crisis and climate change are driving the development of biodiesel as a renewable energy source. Graphite as an additive shows significant potential in improving the efficiency and reducing emissions of biodiesel. This study maps graphite-biodiesel research in Southeast Asia using a meta analysis of systematic reviews of 68 publications from Scopus, Web of Science, and ScienceDirect from 2015-2024. The results show that Malaysia leads in publication contributions (32%), followed by Thailand (28%) and Indonesia (18%). The optimal graphite concentration of 50 ppm increases brake thermal efficiency by 8.3% and reduces CO (15.7%), HC (12.4%), and smoke (18.9%) emissions, although there is an increase in NOx (6.8%). Palm oil methyl ester dominated the research (56%). Indonesia has strategic opportunities with abundant feedstock and graphite deposits, but faces challenges in research infrastructure, limited international collaboration, and the absence of an integrated national roadmap. Infrastructure investment, human resource strengthening, and industry academia collaboration are needed to accelerate national biodiesel research.

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 increasing consumption of packaged food products in Indonesia reflects modern lifestyle changes but simultaneously raises public health concerns related to high calorie, sugar, and fat intake. Nutritional information presented on food labels consists of multiple interrelated variables, making it difficult to identify dominant nutritional factors that characterize packaged food products. This study aims to apply Principal Component Analysis (PCA) to reduce the dimensionality of nutritional data and to map the nutritional characteristics of packaged food products in Indonesia. The research employs a quantitative exploratory approach using secondary data obtained from nutrition facts labels of 1,651 packaged food products. Seven nutritional variables were initially analyzed, namely total energy, protein, total fat, total carbohydrates, sugar, sodium, and dietary fiber. Data preprocessing included data cleaning, Z-score standardization, and iterative variable selection based on the Kaiser-Meyer-Olkin (KMO) measure and Bartlett’s Test of Sphericity to ensure sampling adequacy and sufficient correlation among variables. Variables with low sampling adequacy and perfect multicollinearity were eliminated, resulting in five variables retained for the final PCA model. Principal components were extracted using the eigenvalue greater than one criterion and confirmed through a scree plot, followed by Varimax rotation to enhance interpretability. The results indicate the formation of two principal components explaining approximately 69.7% of the total variance. The first component represents energy density and macronutrient richness, while the second component reflects carbohydrate-related characteristics, particularly the contrasting pattern between sugar and dietary fiber. Biplot visualization further illustrates product distribution based on these components. The findings demonstrate that PCA effectively simplifies complex nutritional information and provides a clear nutritional mapping of packaged food products, offering practical insights for consumers, producers, and policymakers in supporting healthier food choices in Indonesia.

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.