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All Journal J-Sil (Jurnal Teknik Sipil dan Lingkungan)
Ramadhanis, Zainab
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Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science Transportation

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How effective crowdsourced data during crisis emergency? A case of the 2018 Palu-Donggala earthquake Ramadhanis, Zainab; Akrimullah, Anjar
Jurnal Teknik Sipil dan Lingkungan Vol. 9 No. 2: Oktober 2024
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.9.2.221-230

Abstract

In disaster situations, updated geographic data is crucial for disaster relief efforts. OpenStreetMap (OSM) has demonstrated significant value in disaster response scenarios due to its capacity for rapid data collection and dissemination, since the 2010 Haiti earthquake. This study investigates the quality of OSM data during the 2018 Palu-Donggala earthquake, focusing on how contributor expertise affects data reliability and how effectively OSM data supports decision-making in emergencies. The research highlights the critical role of OSM in providing timely geospatial information, with 205 contributors mapping roads and buildings in Palu City and Donggala Regency within just three days of the earthquake. Our findings show that while road data exhibited substantial topological errors—7,085 errors primarily due to overshoots—building data had considerably fewer errors, with only 76 recorded. This disparity suggests that OSM data for buildings was of higher quality during the crisis. The preference of eight out of nine mapper types for building data over road data further underscores the value of OSM in emergencies, as experienced mappers tended to focus on features that were less error-prone. The study also evaluates contributor behavior, revealing that while a significant portion of contributors were inactive, a majority of experienced contributors remained engaged. This finding indicates the potential for inactive expert mappers to return and contribute in future crises. Additionally, the study assesses the rapid collection of data by OSM and its impact on decision-making. The National Disaster Management Agency of Indonesia (BNPB) and the ASEAN Coordinating Centre for Humanitarian Assistance (AHA Centre) effectively utilized the data to provide updates on fatalities, injuries, and displacement, facilitating a swift and equitable distribution of aid.
Spatial Disparities in Jakarta’s Health and Education Infrastructures: An OpenStreetMap-Based Analysis Ramadhanis, Zainab; Akrimullah, Anjar; Heriza, Dewinta
Jurnal Teknik Sipil dan Lingkungan Vol. 10 No. 1: April 2025
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.10.1.139-148

Abstract

Jakarta, as Indonesia’s most populous megacity, had a population of 11.14 million in 2024. Covering an area of 661 square kilometers, it is also the country’s most densely populated city, with over 16,500 individuals per square kilometer. High population density brings challenges, particularly in access to essential public services like education and healthcare, which are crucial for sustainable urban development. This study examines spatial disparities in the distribution of health and educational infrastructures in Jakarta concerning population density. Through overlay analysis, two models were developed: the Educational Facilities Gaps Map and the Health Facilities Gaps Map, categorizing areas as well-served, moderately served, or underserved. The findings highlight significant disparities across Jakarta’s administrative regions. Central Jakarta has the highest accessibility, with 57.43% of its area well-served for education and 65.06% for healthcare. Conversely, North Jakarta and Kepulauan Seribu experience the most severe service gaps, with 51.92% and 100% of their areas underserved in education, and 50.20% and 85.92% in healthcare, respectively. East, South, and West Jakarta exhibit moderate service coverage, though underserved zones remain. These results emphasize the importance of strategic urban planning to improve equitable access to public services. By incorporating geospatial analysis into policymaking, decision-makers can optimize facility distribution and infrastructure development, reducing service disparities, especially in underserved areas.
Tsunami Hazard Level Mapping and Evaluation of Temporary Evacuation Sites (TES) on the Palabuhanratu Coast Rosyadah, Rani; Sutoyo; Putra, Heriansyah; Ramadhanis, Zainab
Jurnal Teknik Sipil dan Lingkungan Vol. 10 No. 2: October 2025
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.10.2.227-286

Abstract

Indonesia is highly prone to disasters due to its location at the convergence of three active tectonic plates: the Eurasian, Pacific, and Indo-Australian plates. Sukabumi Regency ranks as the second-highest risk area in the country. In the coastal region, Palabuhanratu Urban Village has the highest population density in Palabuhanratu District, reaching 6,042 people/km². The high population density in coastal areas increases the potential for casualties in the event of a tsunami. Therefore, mitigation efforts in the form of Temporary Evacuation Sites (TES) are essential across the coastal areas of Palabuhanratu District. A reassessment of the existing TES locations is necessary to evaluate their effectiveness. This study aims to identify the affected area and population under tsunami scenarios with run-up heights of 10 m, 15 m, and 20 m. Additionally, it analyzes the coverage of TES locations and the effectiveness of evacuation routes in Palabuhanratu District. The analysis is conducted using ArcGIS and QGIS software through several stages, including tsunami hazard zoning, tsunami inundation modeling, TES coverage analysis, and evacuation route optimization using network analyst tools. The results indicate that 90.6% of the coastal area in Palabuhanratu District falls into the safe category. The tsunami inundation modeling shows an affected area of 3.32 km² (run-up 10 m), 4.9 km² (run-up 15 m), and 6.1 km² (run-up 20 m). The estimated affected population for these run-up heights is 6,123, 9,348, and 12,849 people, respectively. On average, 68% of the affected population can reach a TES. A total of 68 evacuation routes were generated, with 30 routes classified as highly safe, safe, or moderate, requiring 0–20 minutes of travel time. The findings suggest that additional TES locations should be strategically placed along the coastal areas, particularly near residential zones, to improve evacuation efficiency.
Analysis of Landslide Vulnerability and Its Impact on Population and Infrastructure Exposure in Central Bogor District Using AHP and Open Geospatial Data Vincent, Vincent; Ramadhanis, Zainab; Sutoyo, Sutoyo; Suharnoto, Yuli; Sudibyo, Tri
Jurnal Teknik Sipil dan Lingkungan Vol. 10 No. 2: October 2025
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.10.2.287-296

Abstract

Indonesia’s location at the convergence of three active tectonic plates makes it highly susceptible to various natural disasters, with landslides being among the most frequent and destructive, particularly in mountainous and densely populated urban areas. Central Bogor District in West Java represents a vulnerable area where steep topography, high rainfall intensity, and dense population heighten landslide risk. Despite recurrent landslide events, comprehensive vulnerability assessments integrating both physical and socio-environmental factors remain limited. This study aims to produce a spatially explicit landslide vulnerability map for Central Bogor District by utilizing open geospatial data and applying a GIS-based multi-criteria decision-making approach. The Analytical Hierarchy Process (AHP) was employed to assign weights to four primary physical parameters—rainfall, slope, lithology, and land cover—based on their relative contribution to landslide susceptibility. Supporting data were derived from Sentinel-1A imagery (InSAR), Landsat-8 classification, CHIRPS precipitation records, and official geological maps. These physical layers were then integrated with exposure indicators, including population density, infrastructure distribution, and accessibility data from OpenStreetMap. The results delineated three landslide vulnerability zones: high (49.87 ha), moderate (481.82 ha), and low (236.45 ha). High-risk zones, such as Gudang and Paledang Sub-districts, feature steep slopes, weak geological formations, and dense settlements. Overlay analysis also revealed a significant concentration of critical infrastructure within moderate-to-high vulnerability zones, highlighting exposure and potential service disruption during hazard events. The study underscores the critical value of combining open geospatial data with AHP-based weighting to inform targeted disaster mitigation, infrastructure planning, and resilient urban development. The resulting maps can guide policy and preparedness strategies to reduce landslide impacts in high-risk urban areas.
Co-Authors Akrimullah, Anjar Heriza, Dewinta Putra, Heriansyah Rosyadah, Rani Sutoyo Sutoyo Sutoyo Tri Sudibyo Vincent Vincent, Vincent