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Maulana, Edwin
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Landscape design for gully erosion control on the upper slopes of Mount Sumbing, Central Java, Indonesia Maulana, Edwin; Sartohadi, Junun; Setiawan, Muhammad Anggri
Journal of Degraded and Mining Lands Management Vol. 12 No. 2 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.122.7037

Abstract

Gully erosion can cause significant soil loss; thus, it must be controlled. This study aimed to develop a landscape design for controlling gully erosion in a volcanic environment with a thin soil layer. The primary data used was Unmanned Aerial Vehicle (UAV) data combined with field surveys and in-depth interviews. A collaborative approach was used to develop the landscape design to minimize the impact of gully erosion. The finding showed that gully erosion had entered adult to old age since the scars (incisions) at the gully bottom existed. According to the community, gullies must be controlled, although they do not affect land productivity. Vegetative control is the most favored method of gully erosion control. Local vegetation with the potential for additional value is chosen to control gully erosion. Strengthening community capacity is the most favorable way to manage gullies. Through good understanding, local communities can control the development of gullies. Further strengthening of regulations related to gully erosion control will have a domino effect on land sustainability. This finding can be extrapolated globally to locations with similar land characteristics.
Rainfall patterns and land use changes on temporal flood vulnerability in Purworejo Regency, Central Java, Indonesia Putri, Tesya Paramita; Retnowati, Arry; Nugroho, Bayu Dwi Apri; Maulana, Edwin
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.123.7739

Abstract

Land use changes and rainfall can trigger inundation. This study aimed to observe the dynamics of spatial patterns of temporal flood vulnerability due to rainfall and land use changes using the Maximum Entropy (MaxEnt) Model. Flood vulnerability was assessed using 12 environmental variables, including elevation, slope gradient, slope direction, slope curvature, Topographic Wetness Index (TWI), flow density, distance from rivers, distance from roads, soil texture, soil aggregates, rainfall, and land use. Rainfall and land use were dynamic variables analyzed in 2013-2023. Past flood occurrence points were obtained using the participatory mapping method. Temporal flood vulnerability mapping in 2013, 2018, and 2023 showed the influence of elevation, Topographic Wetness Index (TWI), and distance from rivers, which were very dominant. Typically, the flood vulnerability pattern formed showed a percentage of moderate (13%), high (17%), and very high (5%) class areas consistently clustered in the southern region. An interesting finding is that rainfall changes have a more significant influence (7.2%), causing the dynamics of high and very high-class vulnerability patterns, compared to the influence of land use changes (0.4%). MaxEnt's flood vulnerability prediction accuracy is classified as very good, as evidenced by its AUC values of 0.835 in 2013, 0.819 in 2018, and 0.824 in 2023. Finally, the findings showed that the accuracy of the MaxEnt Model is classified as very good, so it can be extrapolated globally with similar regional typologies.
Landslide susceptibility analysis on road sections in Kaligesing District, Indonesia, using Frequency Ratio (FR) approaches Pertiwi, Rianita; Sartohadi, Junun; Setiawan, M. Anggri; Maulana, Edwin
Journal of Degraded and Mining Lands Management Vol. 12 No. 4 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.124.7913

Abstract

Road construction with intensive slope cutting increases landslide susceptibility along the road section, especially in hilly areas such as Kaligesing, Indonesia. This study aimed to compile a landslide susceptibility map along the road section in Kaligesing and evaluate the level of susceptibility based on the main causal factors. GIS approach and quantitative statistical analysis Frequency Ratio (FR) were used in the susceptibility model. Eighty-two landslide points were randomly divided into training (70%) and testing (30%) datasets. Twelve causal factors were used in the analysis: slope direction, elevation, lithology, slope gradient, curvature, hemeroby degree, Topographic Wetness Index (TWI), distance from the river, distance from the road, rainfall, soil texture, and soil aggregate. Model validation used the Area Under Curve (AUC) value to evaluate model performance. The findings showed that the model is accurate, with an AUC value of 0.75 for the training set and 0.71 for the testing set. Furthermore, the level of landslide susceptibility is divided into four classes, namely very high (73 km), high (70.77 km), moderate (0.07 km), and very low (0.03 km). Thus, the findings can be used to support decision-making and planning for more adaptive road infrastructure development in landslide-prone areas.
Co-Authors Arry Retnowati Bayu Dwi Apri Nugroho, Bayu Dwi Apri Junun Sartohadi Pertiwi, Rianita Putri, Tesya Paramita Setiawan, M. Anggri Setiawan, Muhammad Anggri