Mapping The Distribution Of Soil pH, Pyrite (FeS2) Content, Soil Texture, And Waterlogging In Rice Field Areas In Jejangkit District, Barito Kuala Regency
Article Sidebar
Main Article Content
Abstract
This study aims to identify the characteristics of soil pH, pyrite (FeS₂) content, soil texture, and waterlogging in rice fields in Jejangkit District, Barito Kuala Regency, map their spatial distribution using the Inverse Distance Weighting (IDW) method based on Geographic Information Systems (GIS), evaluate the accuracy of the interpolation results, and develop land management guidelines based on the physical conditions of the land. The study uses a quantitative approach with field survey methods and GIS-based spatial analysis. A total of 64 sample points are used as the main data for interpolation. The results show that the soil pH value ranges from 3.5–5.5, pyrite content is 0.3–4.4%, soil texture is dominated by clay fractions, while the height of waterlogging ranges from 14–64 cm. The IDW interpolation results are able to describe the spatial distribution pattern of all research parameters continuously. Validation testing shows that the interpolation results have a good level of accuracy so that they can be used to describe the condition of the research land.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
References
Makawimbang, SA, & Langi, YAR (2022). Utilization of geographic information systems and computation-based interpolation algorithms (Kriging and IDW) in mapping landslide vulnerability levels. Indonesian Journal of Intelligence Data Science, 1(1), 13–22.
Marlinae, L., Biyatmoko, D., Irawan, C., Husaini, H., Arifin, S., Saidy, AR, Biworo, A., Zubaidah, T., Khairiyati, L., & Waskito, A. (2021). The influence of land conditions (soil, land color, organic matter thickness and land cover) and water management on the availability of clean water in flood-prone and mining areas in Banjar Regency. CV. Mine.
Maulianawati, D., & Lembang, MS (2022). Aquaculture water quality. Syiah Kuala University Press.
Maulidi, MZ, Mariana, ZT, & Priatmadi, BJ (2023). Soil acidity and distribution of pyrite compounds at various depths of tidal soil. Acta Solum, 2(1), 21–24. https://doi.org/10.20527/actasolum.v2i1.2276
Monde, A., Feriadi, AR, Widjajanto, D., Suhardi, Novriani, Nathan, M., Ahmad, A., Hasanah, U., & Kartini, NL (2025). Soil and water conservation. Azzia Karya Bersama.
Noor, M., Sutrisno, N., & Sosiawan, H. (2019). Water management in mini-polder-based swamplands to support the development of modern agriculture.
Regulation of the Minister of Public Works and Public Housing of the Republic of Indonesia Number 05/PRT/M/2010 concerning Guidelines for the Provision and Utilization of Green Open Spaces in Urban Areas. (2010).
Prianata, YLO, Amir, MK, & Kadar, MI (2023). Mapping of iron (Fe) concentration distribution based on sediment characteristics using the Inverse Distance Weighting (IDW) method, Palangga, South Konawe. Mining Science and Technology Journal, 2(2), 118–126.
Shepard, D. (1968). A two-dimensional interpolation function for irregularly spaced data. Proceedings of the 23rd ACM National Conference, 517–524.https://doi.org/10.1145/800186.810616
Suratman, S. (2025). Podzolic soil in Indonesia: Characteristics, potential, constraints, and management for agriculture.
Yudanegara, RA, Astutik, D., Hernandi, A., Soedarmodjo, TP, & Alexander, E. (2021). The use of the Inverse Distance Weighted (IDW) method for mapping land value zones (Case study: Gedong Meneng Village, Bandar Lampung). Elipsoida: Journal of Geodesy and Geomatics, 4(2), 85–90.