Article Per Year (5 Year)
p-Index From 2021 - 2026
0.702
P-Index
This Author published in this journals
All Journal Media Komunikasi Geografi Jambura Geoscience Review GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Moderasi; Jurnal Studi Ilmu Pengetahuan Sosial
Hermawan Setiawan
Universitas Islam Negeri Syarif Hidayatullah Jakarta, Indonesia
Earth & Planetary Sciences Education Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
SPATIAL ANALYSIS OF FLOOD SUSCEPTIBILITY AND ITS IMPACT ON EDUCATIONAL FACILITIES IN TANGERANG CITY Hermawan Setiawan; Andri Noor Ardiansyah; Syairul Bahar
GEOGRAPHY : Jurnal Kajian, Penelitian dan Pengembangan Pendidikan Vol 14, No 1 (2026): APRIL
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/geography.v14i1.36733

Abstract

Abstrak:  Banjir merupakan bencana hidrometeorologi yang menyebabkan kerusakan luas serta menimbulkan kerugian di bidang ekonomi, kesehatan, dan pendidikan. Penelitian ini menganalisis distribusi spasial kerawanan banjir dan kaitannya dengan lokasi fasilitas pendidikan di Kota Tangerang. Pendekatan kuantitatif diterapkan dengan menggunakan metode Weighted Sum yang terintegrasi dalam Sistem Informasi Geografis (SIG) serta melibatkan berbagai parameter fisik dan antropogenik. Hasil analisis menunjukkan bahwa kelas kerawanan sedang dan tinggi mendominasi, masing-masing mencakup sekitar 6.300 ha dan 6.574 ha, sedangkan kelas sangat tinggi mencapai 2.022 ha. Sekitar 78,6% fasilitas pendidikan berada pada wilayah dengan tingkat risiko banjir sedang hingga sangat tinggi. Kecamatan dengan tingkat kerawanan tertinggi meliputi Tangerang, Ciledug, dan Pinang, sedangkan Batuceper, Neglasari, dan Benda tergolong rendah hingga sangat rendah. Temuan ini menegaskan bahwa curah hujan, topografi, jenis tanah, dan lahan terbangun berperan penting dalam menentukan kerawanan banjir, serta menjadi dasar mitigasi risiko fasilitas pendidikan dan kebijakan tata ruang wilayah. Abstract:  Floods are hydrometeorological disasters that cause extensive damage and lead to economic, health, and educational losses. This study analyzes the spatial distribution of flood susceptibility and its relationship with educational facilities in Tangerang City. A quantitative approach was applied using the Weighted Sum method integrated with Geographic Information Systems (GIS) and multiple physical and anthropogenic parameters. The results show that moderate and high susceptibility classes dominate, covering approximately 6,300 ha and 6,574 ha, while the very high class reaches 2,022 ha. About 78.6% of educational facilities are located in areas with moderate to very high flood risk. Districts with the highest susceptibility include Tangerang, Ciledug, and Pinang, whereas Batuceper, Neglasari, and Benda show low to very low risk. These findings highlight the interaction of rainfall, topography, soil type, and built-up land in shaping flood Susceptibility and provide a basis for educational facility risk mitigation and spatial planning policies.
GIS-Based Flood Hazard Mapping Using Weighted Overlay in Bekasi City Lamya Nurul Adzkia; Hermawan Setiawan; Andri Noor Ardiansyah
Jambura Geoscience Review Vol 8, No 2 (2026): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v8i2.37870

Abstract

Flooding remains a recurrent urban hazard in Bekasi City owing to the interaction of lowland topography, downstream hydrological position, rapid urban development, and reduced surface infiltration. This study aims to map flood hazard levels in Bekasi City using a geographically weighted overlay (GIS)-based method and to examine the spatial agreement between the modeled hazard zones and observed flood occurrences. Seven parameters were integrated into the analysis: land use/land cover, rainfall, slope, soil type, Topographic Wetness Index, distance to rivers, and distance to roads. Each parameter was standardized, scored, and weighted based on relevant literature before being combined to produce a composite flood hazard index. The resulting map classified the study area into very low, low, moderate, high, and very high hazard classes. The results show that more than 80% of Bekasi City is located within moderate to very high flood hazard classes, with higher hazard zones concentrated mainly in the central and eastern parts of the city. These areas are characterized by flat terrain, high wetness potential, proximity to river networks, and a dominant built-up land cover. A preliminary spatial validation using 12 observed flood occurrence points indicates that approximately 83% of the points are located within moderate to very high hazard zones. These findings suggest that the GIS-based weighted overlay method can support preliminary flood hazard identification in data-limited urban areas. However, the results remain sensitive to parameter selection, weighting schemes, and limited validation data.
Trend of Flood Susceptibility Mapping using Remote Sensing Approach: A Bibliometric Analysis Hermawan Setiawan
Media Komunikasi Geografi Vol. 27 No. 1 (2026)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mkg.v27i1.113622

Abstract

Flood disasters generate substantial socio-economic and environmental impacts, increasing the need for accurate Flood Susceptibility Mapping (FSM). This study provides a comprehensive bibliometric analysis of FSM integrated with Multi-Criteria Decision Making (MCDM) and remote sensing techniques. Using the PRISMA framework, a total of 1,234 scientific articles were collected from the Scopus database and analyzed using VOSviewer to identify research trends, collaboration networks, and thematic clusters. The findings indicate a significant increase in publications since 2015, reaching their peak in 2025, with major contributions originating from highly flood-prone countries such as India, Iran, and China. In addition, Geocarto International and Biswajeet Pradhan were identified as the most cited journal source and author, respectively. Furthermore, cluster analysis reveals that the integration of the Analytic Hierarchy Process (AHP) and GIS has increasingly been combined with land-use and river discharge modeling through ensemble learning approaches, including statistical models and AdaBag Rotation Forest. On the other hand, dynamic and cloud-based automated approaches remain relatively underexplored. Network and density analyses further emphasize the importance of optimizing high spatial resolution using hybrid algorithms, such as Genetic Algorithm–Multilayer Perceptron, implemented within cloud-based platforms like Google Earth Engine (GEE) to dynamically predict the impacts of climate change on urban flooding. These findings provide a strategic direction for supporting adaptive spatial planning and strengthening climate resilience in disaster risk management.
Landslide Susceptibility and Educational Facility Exposure in Majalengka Regency: A GIS-Based Weighted Overlay Approach Muhammad Hafidz Aditya Ramadhan; Hermawan Setiawan; Andri Noor Ardiansyah
Moderasi: Jurnal Studi Ilmu Pengetahuan Sosial Vol. 7 No. 1 (2026)
Publisher : Department of Social Studies Education, Faculty of Tarbiyah and Teacher Training, Datokarama State Islamic University of Palu, Central Sulawesi, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24239/moderasi.Vol7.Iss1.615

Abstract

Landslides are a significant geomorphological hazard in Indonesia that can damage infrastructure and disrupt social activities. In Majalengka Regency, variations in topographic conditions result in different levels of landslide susceptibility, which may affect public facilities, including educational institutions. This study aims to analyze the spatial distribution of landslide susceptibility and evaluate the exposure of educational facilities using a GIS-based Weighted Overlay method with seven parameters. The results indicate that High and Very High susceptibility areas cover approximately 33,284 hectares and 17,388 hectares, respectively, and are mainly concentrated in the southern part of Majalengka Regency. Of the 672 educational facilities, 162 schools (24.1%) are located within landslide-prone zones, including 47 schools in Very High susceptibility areas. These findings highlight the influence of terrain conditions, rainfall, soil characteristics, and proximity to infrastructure in shaping landslide susceptibility. This study provides a spatially explicit evaluation of educational facility exposure, offering empirical baseline data to support local disaster mitigation strategies and school safety planning.
Co-Authors Andri Noor Ardiansyah Andri Noor Ardiansyah Andri Noor Ardiansyah, Andri Noor Lamya Nurul Adzkia Muhammad Hafidz Aditya Ramadhan Syairul Bahar