Metode Perolehan Data Luasan Lahan Sawah yang Akurat Berbasis Sistem Informasi Geografis di Kabupaten Maros

Authors

  • Herman Halim Universitas Islam Makassar
  • Amal Said Universitas Islam Makassar
  • Awaluddin Yunus Universitas Islam Makassar

DOI:

https://doi.org/10.55606/jurrit.v4i2.7842

Keywords:

Agriculture, Geographic Information System, Land Use, Maros Regency, Paddy Field Area

Abstract

Accurate paddy field area data is a crucial factor in agricultural development planning, particularly as a basis for formulating data-driven programs and policies. One of the main problems encountered at the regional level is the continued reliance on administrative data that does not fully reflect actual field conditions due to land use changes, boundary inaccuracies, and limited verification processes. This study aims to determine an appropriate method for obtaining accurate paddy field area data through the application of Geographic Information Systems (GIS) in Maros Regency. The research employed a descriptive quantitative approach using spatial analysis methods. The data utilized consisted of Paddy Field Base Data, National Geospatial Base Maps, high-resolution satellite imagery, and field verification data. Spatial analysis was conducted through digitization, overlay, intersect, and area calculation processes using ArcMap 10.8 software. The results indicate that GIS-based spatial analysis produces more accurate and verified paddy field area data compared to conventional administrative data. The integration of spatial data with field verification effectively minimizes measurement errors and boundary discrepancies. This method can serve as a reliable reference for providing accurate agricultural base data to support planning and policy-making in the agricultural sector.

Downloads

Download data is not yet available.

References

Badan Informasi Geospasial. (2014). Peraturan Badan Informasi Geospasial Nomor 15 Tahun 2014 tentang pedoman teknis ketelitian peta dasar.

Badan Informasi Geospasial. (2021). Peraturan Badan Informasi Geospasial Nomor 18 Tahun 2021 tentang penyelenggaraan informasi geospasial.

Badan Pusat Statistik. (2020). Klasifikasi baku lahan pertanian Indonesia. BPS.

Bappenas. (2023). Rencana pembangunan jangka menengah nasional (RPJMN) 2020–2024: Penguatan data geospasial untuk perencanaan pembangunan pertanian. Kementerian PPN/Bappenas.

Barus, B., & Wiradisastra, U. S. (2000). Sistem informasi geografis: Sarana manajemen sumber daya. Laboratorium Penginderaan Jauh dan Kartografi, Jurusan Tanah, Fakultas Pertanian, Institut Pertanian Bogor.

Congalton, R. G., & Green, K. (2019). Assessing the accuracy of remotely sensed data: Principles and practices (3rd ed.). CRC Press. https://doi.org/10.1201/9780429052729

Food and Agriculture Organization. (2013). Guidelines on the use of GIS for agricultural statistics. FAO Statistics Division.

Food and Agriculture Organization. (2015). World reference base for soil resources. FAO.

Goodchild, M. F., & Li, L. (2021). GIScience and the geospatial technology ecosystem. Annals of the American Association of Geographers, 111(3), 737–744. https://doi.org/10.1080/24694452.2020.1850482

Huke, R. E. (1982). Rice area by type of culture: South, Southeast, and East Asia. International Rice Research Institute.

International Rice Research Institute. (2013). Rice production manual. IRRI.

Jurnal Ekonomi Pertanian dan Agribisnis. (2022). Analisis efektivitas distribusi pupuk bersubsidi menggunakan indikator 6T. Jurnal Ekonomi Pertanian dan Agribisnis.

Kementerian Pertanian Republik Indonesia. (2022). Petunjuk teknis pengembangan kawasan pertanian berbasis SIG. Direktorat Jenderal Prasarana dan Sarana Pertanian.

Lillesand, T. M., Kiefer, R. W., & Chipman, J. W. (2015). Remote sensing and image interpretation (7th ed.). Wiley.

Longley, P. A., Goodchild, M. F., Maguire, D. J., & Rhind, D. W. (2015). Geographic information science and systems (4th ed.). Wiley.

Muryamto, R., Waljiyanto, Rahardjo, U., Riyadi, G., Andaru, R., Taftazani, I., Marta, W., & Farida, A. (2016). Pembuatan peta dan sistem informasi geospasial lahan pertanian di Kecamatan Sentolo, Kabupaten Kulon Progo, Yogyakarta. Indonesian Journal of Community Engagement, 1(2). https://doi.org/10.22146/jpkm.10613

Todaro, M. P., & Smith, S. C. (2020). Economic development (13th ed.). Pearson.

Downloads

Published

2025-10-31

How to Cite

Herman Halim, Amal Said, & Awaluddin Yunus. (2025). Metode Perolehan Data Luasan Lahan Sawah yang Akurat Berbasis Sistem Informasi Geografis di Kabupaten Maros. Jurnal Riset Rumpun Ilmu Tanaman, 4(2), 468–477. https://doi.org/10.55606/jurrit.v4i2.7842