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All Journal Jurnal Pendidikan Geografi Undiksha Jurnal Lemhannas RI International Journal for Disaster and Development Interface
Ruuhulhaq, Muhammad Saiful
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Humanities Decision Sciences, Operations Research & Management Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Analisis Ketersediaan dan Keterjangkauan Fasilitas Pendidikan Sekolah Menengah Pertama (SMP) Negeri Menggunakan Sistem Informasi Geografis di Kota Cimahi Ruuhulhaq, Muhammad Saiful; Waluya, Bagja; Himayah, Shafira
Jurnal Pendidikan Geografi Undiksha Vol. 12 No. 2 (2024): Jurnal Pendidikan Geografi Undiksha
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpg.v12i02.74283

Abstract

Dalam Rencana Pembangunan Jangka Panjang Daerah atau RPJP Kota Cimahi Tahun 2005-2025 disebutkan bahwa permasalahan yang terdapat di Kota Cimahi salah satunya adalah aspek pendidikan. Jumlah sekolah harus menyesuaikan jumlah penduduk tersebut serta ketersediaan sekolah berdasarkan prediksi pertumbuhan penduduk Indonesia. Selain jumlah bangunan sekolah yang harus mencukupi juga keterjangkauan sekolah harus berada di lokasi yang terjangkau oleh penduduk. Pemetaan fasilitas sekolah berbasis Sistem Informasi Geografis bertujuan agar dapat memberikan kemudahan kepada para pengguna dalam pencarian informasi mengenai keterangan sekolah serta letak lokasi sekolah yang ingin diketahui. Kelurahan Karangmekar memiliki dua SMP negeri yang tersedia. Kelurahan Cimahi tidak memiliki SMP negeri yang tersedia. Prasarana dan sarana transportasi yang meliputi jalan dan alat angkut transportasi merupakan sarana untuk menghubungkan jarak antara daerah satu dengan yang lain.Kelurahan ini saat ini memiliki 1 SMP Negeri yang telah ada, dan terdapat kebutuhan untuk pembangunan 4 SMP tambahan. Dengan demikian, total kebutuhan fasilitas pendidikan di kelurahan Baros adalah 5 SMP. Lebih dari setengah sekolah memiliki lokasi yang dekat dengan pemukiman, memberikan kemudahan akses bagi siswa untuk mencapai sekolah dari lingkungan tempat tinggal mereka.
Pemanfaatan Citra Satelit Landsat untuk Analisis Kerapatan Vegetasi Menggunakan Metode NDVI di Kota Serang Tahun 2014 dan 2024 Ruuhulhaq, Muhammad Saiful; Setianingrum, Sarah
Jurnal Pendidikan Geografi Undiksha Vol. 12 No. 3 (2024): Jurnal Pendidikan Geografi Undiksha
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpg.v12i3.81193

Abstract

Analyzes vegetation density changes in Serang City (2014-2024) using Landsat satellite imagery and the Normalized Difference Vegetation Index (NDVI). The research aims to assess urban vegetation degradation patterns and compliance with Indonesia's 30% green space regulation (UU No. 26/2007). Results show significant vegetation loss, with high-density vegetation (NDVI ≥0.45) decreasing from 7,481 ha (2014) to 4,814 ha (2024), while non-vegetated areas increased from 1,331 ha to 3,642 ha. The NDVI analysis reveals a 35.6% reduction in high-density green areas, primarily due to urban expansion. Methodologically, the study employs radiometrically-corrected Landsat-8 OLI data (bands 4-Red and 5-NIR) processed in a GIS environment, validated through Google Earth. The findings highlight urgent needs for urban green space rehabilitation and stricter land-use policies. This research contributes to sustainable city planning by providing a decade-long vegetation change baseline using remote sensing technology. Future studies should incorporate ground-truth verification and climate variables for comprehensive analysis.
The Role of Remote Sensing and GIS in Sustainable Development and National Resilience Ruuhulhaq, Muhammad Saiful
Jurnal Lemhannas RI Vol 12 No 4 (2024)
Publisher : Lembaga Ketahanan Nasional Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55960/jlri.v12i4.966

Abstract

Purpose: This study explores the critical role of Remote Sensing (RS) and Geographic Information Systems (GIS) in supporting Sustainable Development Goals (SDGs) and strengthening national resilience. It aims to highlight the originality and significance of RS and GIS as strategic tools for spatial data collection, analysis, and visualization. Study Design/Methodology/Approach: This research employs a qualitative methodology based on a literature review and case studies. The study evaluates the application of RS and GIS in various sectors, including disaster mitigation, environmental preservation, and resource optimization. Findings: The findings indicate that RS and GIS significantly contribute to SDGs by facilitating actions on climate change, biodiversity conservation, equitable resource distribution, and poverty alleviation. Additionally, RS and GIS strengthen national resilience through economic optimization, ecological disaster mitigation, conflict resolution, and strategic area monitoring. Originality/Value: This study underscores the integrative role of RS and GIS in aligning SDGs and national resilience objectives, offering practical implications for decision-making across multiple sectors. The results provide a foundation for policymakers and practitioners to leverage RS and GIS for holistic and sustainable development.
Exploring Google Earth Engine for Flood Detection (A Case Study in Bandung City) Ruuhulhaq, Muhammad Saiful; Rohman, Arif; Shalih, Osmar
International Journal for Disaster and Development Interface Vol. 5 No. 1 (2025): April 2025
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53824/ijddi.v5i1.93

Abstract

Climate change has increased the frequency and severity of urban flooding worldwide. This research utilizes Google Earth Engine (GEE) and Sentinel-1 synthetic aperture radar (SAR) imagery to detect, map, and analyze flood inundation in Bandung City, Indonesia, from 2014 to 2023. Our workflow combines radiometric calibration, Lee speckle filtering, and Otsu thresholding implemented through GEE's JavaScript API to delineate flooded areas in all weather conditions at 30 m resolution. The results show clear spatial and temporal fluctuations in inundation levels, with peaks in flood coverage in 2016, 2020 and 2021. This approach identifies recurring inundation points and supports targeted disaster management interventions such as prioritized drainage improvements, flood forecasting systems, and nature-based solutions to improve flood resilience in Bandung City by rapidly processing a decade of data in the cloud.
Utilization of Sentinel-2 Imagery for Water Quality Analysis: A Case Study of Saguling Reservoir Ruuhulhaq, Muhammad Saiful; Setianingrum, Sarah
International Journal for Disaster and Development Interface Vol. 5 No. 2 (2025): October 2025
Publisher : Amcolabora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53824/ijddi.v5i2.71

Abstract

Water resources are essential for human life and are one of the main indicators of regional development success. Saguling Reservoir is one of the reservoirs located in West Java that plays a crucial role in various aspects of the lives of the surrounding community. This study aims to determine the distribution of Total Suspended Solids in Saguling Reservoir and to assess turbidity levels using the Normalized Difference Turbidity Index. This study utilizes the Total Suspended Solids (TSS) model by Huizeng Liu using Sentinel-2 imagery data. Based on the research findings, Saguling Reservoir has three classes of Total Suspended Solids (TSS): low (902.91 hectares), moderate (1830.47 hectares), and high (592.78 hectares). Meanwhile, the turbidity levels in Saguling Reservoir are very low (212.84 hectares), moderate (2649.94 hectares), and high (457 hectares).
Co-Authors Arif Rohman bagja waluya, bagja Himayah, Shafira Setianingrum, Sarah Shalih, Osmar