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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Teknologi Pertambangan
Yulianto, Muhammad Rahman
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Energy

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Intercorrelations of Rock-Mass Classification Systems in Jakarta–Bandung High-Speed Railway Tunnel No. 6 Yulianto, Muhammad Rahman
Jurnal Teknologi Pertambangan Vol. 11 No. 1 (2025): Juni 2025
Publisher : Universitas Pembangunan Nasional Veteran Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jtp.v11i1.14960

Abstract

This study deals with the comparative investigation on various classification systems for sedimentary rocks, approximately 4,5 km long of the Highway Speed Railways Tunnel No. 6 Jakarta - Bandung. The results of extensive geotechnical explorations and field measurements were applied to obtain the rock mass classification systems such as Rock Mass Rating (RMR), Q-system (Q), and Rock Mass index (RMi) for a wide range of sedimentary rocks. A set of systems inter-relationship is proposed. So, it is proposed to find relations between any pairs of systems that both of them consider or not consider these parameters. The relations are proposed for a wide range of sedimentary rocks and can be applied for similar geological environments.
Shallot distribution model under hydroclimatic extremes and soil physical properties in Sleman, Yogyakarta Munawaroh, Umi; Zaki, Muhamad Khoiru; Susilowati; Yulianto, Muhammad Rahman
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 53 No. 3 (2025): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24831/jai.v53i3.69500

Abstract

Global climate change significantly affects the agriculture sector, including reducing crop productivity and potential distribution through the frequency of hydrometeorological disasters. Despite its economic importance, limited research has explored the effects of such hydroclimatic extremes on shallot (Allium cepa var. aggregatum) cultivation. This study aims to identify the soil-climate conditions, extreme events, variable contributions, and potential distribution areas of shallot in Sleman regency. The MaxEnt model was used herein to predict the suitable distribution area of shallot under hydroclimatic extremes and soil physical properties. The results show that shallot potential distribution in Sleman regency is governed by the synergistic action of climatic extremes and soil physical structure based on MaxEnt analysis. The dominance of Consecutive Dry Days (CDD) and soil moisture underscores the necessity of maintaining a stable soil–water equilibrium under intensifying hydroclimatic variability. These insights support the use of high-resolution soil and climate mapping to inform adaptive irrigation scheduling, precision tillage, and organic amendment strategies. Keywords: Climate change; extreme events, maximum entropy, soil properties, species distributions
Co-Authors Muhamad Khoiru Zaki Munawaroh, Umi Susilowati