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All Journal Inersia : Jurnal Teknik Sipil dan Arsitektur Jurnal Ilmiah MTG Journal of Degraded and Mining Lands Management
Erzagian, Egy
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Energy Environmental Science

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The Mechanism of Rainfall-Induced Landslide Around Railway Tracks in Central Java Province, Indonesia Octaviarini, Ika Sakti; Fathani, Teuku Faisal; Hardiyatmo, Hary Christady; Amalina, Anisa Nur; Erzagian, Egy
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 19 No. 2 (2023): December
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v19i2.66835

Abstract

Landslide is one of the most disastrous natural hazards in Indonesia, causing significant fatalities and economic losses. Landslides can be triggered by several factors, such as rainfall, earthquakes, soil conditions, and others, where each landslide event has its own triggering and controlling factors. A progressive landslide occurred on the Central Java railway line which resulted in damage to the double-track railway as a transportation infrastructure. The objective of this paper is to understand the process and triggering factors of the landslide. Information was collected through field investigations and measurements based on drilling results at 3 points, geophysical surveys at 5 lines, and laboratory testing of several soil samples. Geological and geotechnical settings, topography, lithology, hydrogeology, and rainfall data of the area were analyzed. Aerial photographs and other remote sensing data were used to evaluate and discuss the information. Landslides in the study area occurred in stages, starting with the formation of a tension crack, followed by two landslides over five months. The results show that the clay material that dominates the study area is the dominant controlling factor of a landslide, triggered by long-duration, low-intensity rainfall. Rainwater entering through tension cracks increases moisture content, adding load to the slope and triggering landslides. Furthermore, the train's external load on the slope also contributes to the occurrence of landslides. The static and cyclic load of the train causes changes in the slope's pressure balance, generating a force that drives the downslope soil. Further analysis was performed using back analysis method with the limit equilibrium method to enhance understanding of slope stability parameters at the time of slope failure. The analysis was performed considering the rising groundwater level. A factor of safety (FS) value of 0.989 was obtained at the end of the simulation, indicating that the slope had failed.
Analisis Potensi Longsor Menggunakan Metode Analytical Hierarchy Process pada Kecamatan Panekan, Kabupaten Magetan Susatio, Raja; Arrisaldi, Thema; Erzagian, Egy; Hanifi Mada Mahendra, Fathan
Jurnal Ilmiah MTG Vol 15 No 1 (2025): Jurnal Ilmiah MTG Volume 15 No.1 Tahun 2025
Publisher : Jurusan Teknik Geologi Fakultas Teknologi Mineral UPN "Veteran" Yogyakarta

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Abstract

Panekan Sub-district, Magetan Regency, is located on landslide prone area. To address this issue, a landslide susceptibility map is needed. This study aims to develop landslide susceptibility map for Panekan Sub-district using Analytical Hierarchy Process (AHP). AHP method was used to determine the weights and relative influence of five parameters which is slope, lithology, distance from structures, distance from rivers, and land use. The weight scores for each parameter are as follows: slope gradient (0,403), lithology (0,318), distance from structures (0,139), distance from rivers (0,084), and land use (0,056). Each parameter was analyzed spatially using Geographic Information System (GIS). AHP analysis produced map with values ranging from 0,99 to 4,31. Zonation was classified using the index method based on Regulation of Head of BNPB No. 2 of 2012. AHP analysis found that most areas of Panekan Sub-district are within medium hazard zone. These findings are expected to serve as a basis for local governments and communities to strengthen disaster mitigation and preparedness efforts.
Comparison of two landslide hazard zonation methods in the volcanic terrain of Temanggung Regency, Central Java, Indonesia Wilopo, Wahyu; Putra, Doni Prakasa Eka; Fathani, Teuku Faisal; Pramaditya, Avantio; Tandirerung, Restu; Erzagian, Egy
Journal of Degraded and Mining Lands Management Vol. 10 No. 3 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.103.4537

Abstract

Landslides are a recurring phenomenon that disrupts the natural environment and causes yearly property damage, economic losses, and fatalities. The damage is expected to increase due to deforestation rates, population growth, agriculture, slope-building infrastructure expansion, and global climate change. This study assesses the susceptibility to landslides through Weight of Evidence (WoE) and Frequency Ratio (FR) methods in the Temanggung Regency, Central Java Province, Indonesia, that located on the slopes of two active volcanoes. Initially, a landslide record and the input parameters of the landslide controlling factors were prepared from field surveys, remote sensing data, and secondary data and processed by a geographic information system (GIS). Six landslide parameters in thematic layer maps were selected to develop landslide susceptibility: slope, lithology type, geological structure density, land cover, and rainfall. According to the WoE and FR models, a landslide susceptibility zoning map was classified into four landslide-prone zones from low to very high. Finally, the success and predictive rate curves method confirmed the landslide susceptibility maps to check the model accuracy. The results showed that the landslide susceptibility map using the WoE method had better accuracy than the FR method, with a success rate of 78.48% and a prediction rate of 81.1%. In comparison, the FR method was 74.53% for the success rate and 78.48% for the prediction rate. These landslide susceptibility maps can be used as a guideline to develop land-use planning and landslide disaster mitigation.
Co-Authors Amalina, Anisa Nur Arrisaldi, Thema Doni Prakasa Eka Putra Hanifi Mada Mahendra, Fathan Hary Christady Hardiyatmo, Hary Christady Octaviarini, Ika Sakti Pramaditya, Avantio Susatio, Raja Tandirerung, Restu Teuku Faisal Fathani Wahyu Wilopo