Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Journal of Degraded and Mining Lands Management Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Rohman, Fahmi Arief
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Soil classification and prediction model for critical land on the slopes of Mount Raung in Indonesia Basuki, Basuki; Anggriawan, Rendy; Sari, Vega Kartika; Rohman, Fahmi Arief
Journal of Degraded and Mining Lands Management Vol. 11 No. 3 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.113.5610

Abstract

Indonesia is in the ring of fire, which has an impact on the characteristics of volcanoes, one of which is Mount Raung. Mount Raung, part of the Iyang-Argopura mountains, has a role in influencing the development of soil types and the environment; it was recorded in 1586, 1987, 1597, and 1638. Soil types and environmental parameters have an influence on critical land conditions. Remote sensing technology has been used in various fields, one of which is land evaluation. This study examined the distribution of soil characteristics and the mapping of critical lands through remote sensing approaches. The method used to identify the morphological characteristics of soil classification and the potential for critical land was a descriptive-exploratory method. The results of the research on soil types are divided into three orders, namely Andisols, Inceptisols, and Alfisols. The three land orders are divided into nine great groups, with Lithic Eutrudepts having the highest area of 38.02%, followed by Typic Hapludalfs (21.70%), Typic Eutrudepts (9.79%), Typic Epiaquepts (7.84%), Aquic Eutrudepts (7.71%), Aquic Eutrudepts (5.64%), Fluventic Epiaquepts (5.30%), Typic Udivitrands (2.16%), and Vitric Hapludands (1.83%). Critical land based on the analysis of five factors of erosion, land use, slope, rainfall, and soil canopy density, is divided into four criteria i.e., critical area of 895.88 ha, medium critical 9,027.69 ha, and lightly critical of 14,096.89 ha. Land use, slope, and plant canopy density play a major role in the potential for critical land with a strong-very-strong level of closeness (0.350-0.610).
Mapping Soil Fertility Status of Alluvial Formations Using the SFI Method and Kriging Interpolation Geographic Information Systems Basuki, Basuki; Fatmawati, Aisyah; Rohman, Fahmi Arief
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 1 (2025): February 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i1.1-9

Abstract

Land degradation can be characterized by a decrease in soil productivity. Jember Regency has the potential to develop food crop commodities. A decrease in soil productivity can be caused by a decrease in soil fertility. The study aims to look at the index and distribution of soil fertility in rice fields in southern Jember. The SFI (soil fertility index) technique was utilized in this study to calculate the soil fertility index. SFI is broken down into multiple parts, including calculating the Minimum Soil Fertility Index (MSFI), weighting, and scoring, which are then incorporated into the SFI calculation. The determination of MSFI is done using principal component analysis (PCA). The results of the MSFI analysis involved spatial mapping using kringing analysis to determine the area distribution of each class. The soil fertility index of the research location ranged from 1.72 to 2.28, with a low-class area of 9,224.19 ha (99.522%) and a very low-class area of 44,266 ha (0.478%). Parameters that influence soil fertility levels include cation exchange capacity, total soil nitrogen, and soil organic carbon, with a cumulative value of 84.8%. Keywords: Kriging interpolation, MSFI, paddy field, soil fertility index, soil mapping.
Co-Authors Anggriawan, Rendy Basuki , Fatmawati, Aisyah Vega Kartika Sari