Perubahan Penggunaan Lahan dan Tutupan Lahan Menggunakan Metode Maximum Likelihood

Authors

  • Amniar Ati Jurusan Pendidikan Geografi, Universitas Halu Oleo
  • Septianto Aldiansyah Jurusan Pendidikan Geografi, Universitas Halu Oleo
  • Hasni Hasan Jurusan Ilmu Sejarah, Universitas Halu Oleo
  • Windayani Windayani Jurusan Ekonomi Manajemen, Universitas Halu Oleo
  • Harmiaty Bahar Jurusan Ekonomi Manajemen, Universitas Halu Oleo
  • Muhammad Saleh Qadri Jurusan Ilmu Lingkungan, Universitas Halu Oleo
  • Abdi Juryan Ladiando Jurusan Jurusan Arsitektur, Universitas Halu Oleo
  • Ade Putra Program Studi Ilmu Politik, Universitas Halu Oleo

DOI:

https://doi.org/10.36709/jppg.v10i1.390

Keywords:

land use, land cover, Maximum Likelihood

Abstract

Changes in land use and cover are inevitable as a result of human intervention, both cyclically and permanently. Rapid population growth accompanied by increasing demand for land, often results in conflicts of interest over land, resulting in inconsistencies between land use and spatial planning. The purpose of this study is to determine changes and land use from 2014 to 2023. The classification method used in this study is Maximum Likelihood. The data in this study were processed from Landsat 8 OLI/TIRS Satellite Imagery for 2014 and Landsat 9 OLI-2/TIRS-2 for 2023. The results of the study showed that built-up land and open land increased by 6.89 km2 and 9.27 km2 respectively. Meanwhile, agriculture and vegetation tended to decrease by 12.11 km2 and 4 km2 respectively. These results sufficiently describe the conditions of changes in land use and cover that occurred in Lasalimu District, considering that the accuracy of the resulting map is >80%.

References

Alba, J. M. F., V. F. Schroder, dan M. R. R. Nóbrega. (2012). Land Cover Change Detection in Southern Brazil Through Orbital Imagery Classification Methods. Dalam Remote Sensing - Applications. Editor D. B. Escalante: Rijeka-Croatia. InTech.

Aldiansyah, S., dan Risna. (2024). Deteksi Urban Heat Island Terhadap Perkembangan Perkotaan Menggunakan Penginderaan Jauh di Kota Baubau. Geomatika, 30(1), 1-10.

Aldiansyah, S., dan Saputra, R. A. (2023). Comparison of Machine Learning Algorithms for Land Use and Land Cover Analysis Using Google Earth Engine (Case Study: Wanggu Watershed). International Journal of Remote Sensing and Earth Sciences (IJReSES), 19(2), 197-210. http://dx.doi.org/10.30536/j.ijreses.2022.v19.a3803

Aldiansyah, S., Mannesa, M. D. M., dan Supriatna, S. (2021). Monitoring of Vegetation Cover Changes with Geomorphological Forms Using Google Earth Engine in Kendari City. Jurnal Geografi Gea, 21(2), 159-170. https://doi.org/10.17509/gea.v21i2.37070

Aldiansyah, S., dan Supriatna, S. (2024). Kajian dan Prediksi Perubahan Tutupan Lahan Menggunakan Cellular Automata-Markov Chain di Kota Unaaha. Geomedia: Majalah Ilmiah dan Informasi Kegeografian, 22(1), 1-13. http://dx.doi.org/10.21831/gm.v22i1.52278

Aldiansyah, S., dan Wardani, F. (2024). Spatiotemporal Dynamic of Soil Erosion in the Roraya River Basin Based on RUSLE Model and Google Earth Engine. Journal of Hydroinformatics, 26(6), 1273-1294. https://doi.org/10.2166/hydro.2024.219

Asrasal, A., Abdu, M., Idwan, I., dan Taufiq, M. (2022). Analisis Sistem Penyediaan Air Minum (SPAM) Desa Nambo Kecamatan Lasalimu Kabupaten Buton. SCEJ (Shell Civil Engineering Journal), 7(2), 102–109. https://doi.org/10.35326/scej.v7i2.3149

Avci, C., Budak, M., Yağmur, N., dan Balçık, F. (2023). Comparison Between Random Forest and Support Vector Machine Algorithms for LULC Classification. International Journal of Engineering and Geosciences, 8(1), 1-10. https://doi.org/10.26833/ijeg.987605

Azizu, A. M. (2020). Analisis Strategi Pemasaran Jagung Hibrida di Kabupaten Buton (Studi Kasus Kecamatan Lasalimu Selatan). Media Agribisnis, 4(2), 68-79. https://doi.org/10.35326/agribisnis.v4i2.1361

Badan Pusat Statistik [BPS]. (2023). Kecamatan Lasalimu Dalam Angka 2023. https://butonkab.bps.go.id (Diakses, 4 September 2024).

BPS Kabupaten Buton. (2018). Kecamatan Lasalimu Dalam Angka. https://butonkab.bps.go.id/id/publication/2018/09/26/c52231c6bb03518938941def/kecamatan-lasalimu-dalam-angka-2018.html

Cahyono, B. E., Febriawan, E. B., dan Nugroho, A. T. (2019). Analisis Tutupan Lahan Menggunakan Metode Klasifikasi Tidak Terbimbing citra landsat di Sawahlunto, Sumatera Barat. Jurnal Teknotan, 13(1), 8- https://doi.org/14.10.24198/jt.vol13n1.2

Cahyono, B. E., Nugroho, A. T., dan Husen, J. (2018). Karakteristik Time Series Reflektansi Tanaman Padi Varietas Ciherang dengan Analisis RGB Citra Fotografi. Jurnal Fisika FLUX 15(1), 59-65.

Campbell, J. B. (2002). Introduction to Remote Sensing. 3rd Ed. New York: The Guildford Press.

Compton, J., Tucker, J. R. G., Townshend, dan T. E. Goff. (1985). African Land-Cover Classification Using Satellite Data. Science, 227(4685).

Dash, P., Sanders, S. L., Parajuli, P., dan Ouyang, Y. (2023). Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data in An Agricultural Watershed. Remote Sensing, 15(16), 4020. https://doi.org/10.3390/rs15164020

Haryati, N. (2021). Analisis Aksesibilitas Infrastruktur Pedesaan di Kabupaten Buton Sulawesi Tenggara dengan Menggunakan Metode Integrated Rural Accesibility Planning (IRAP). Bandar: Journal of Civil Engineering, 3(2), 15-21. https://doi.org/10.31605/bjce.v3i2.1027

Haryati, N. (2022). Prioritas Pengembangan Infrastruktur di Keluarahan Kamaru Kecamatan Lasalimu Kabupaten Buton. Bandar: Journal of Civil Engineering, 4(1), 24-28. https://doi.org/10.31605/bjce.v4i1.1028

Kasim, S., dan Kandari, A. M. (2015). Analisis Pengembangan Agroforestri di Kecamatan Lasalimu Kabupaten Buton. Ecogreen, 1(1), 55-64.

Lautetu, L. M., Kumurur, V. A., dan Warouw, F. (2019). Karakteristik Permukiman Masyarakat Pada Kawasan Pesisir Kecamatan Bunaken. Spasial, 6(1), 126-136. https://doi.org/10.35793/sp.v6i1.23293

Levin, N. (1999). Fundamentals of Remote Sensing. Trieste. Italy: International Maritime Academy.

Nurhayati, S., Rahman, A., dan Dharmaji, D. (2020). Aplikasi Data Citra Satelit Landsat 8 OLI-TRIS dan Sistem Informasi Geografis untuk Mengetahui Sebaran Kualitas Air di Waduk Riam Kanan Kecamatan Aranio, Kabupaten Banjar, Provinsi Kalimantan Selatan. AQUATIC Jurnal Manajemen Sumberdaya Perairan, 3(2), 81-99.

Opa, E. T. (2010). Analisis Perubahan Luas Lahan Mangrove di Kabupaten Pohuwato Propinsi Gorontalo dengan Menggunakan Citra Landsat. Jurnal Perikanan dan Kelautan Tropis, 6(2), 79-82. https://doi.org/10.35800/jpkt.6.2.2010.165

Peraturan Menteri Pekerjaan Umum dan Perumahan Rakyat. (2007). Permen PUPR Tentang Pedoman Teknis Analisis Aspek Fisik dan Lingkungan, Ekonomi, Serta Sosial Budaya dalam Penyusunan Rencana Tata Ruang.

Restia, A. (2024). Pemanfaatan Pengidenraan Jauh untuk Identifikasi Perubahan Penggunaan Lahan Pada Kawasan Wisata Carocok Painan Kecamatan IV Jurai Kabupaten Pesisir Selatan. Kohesi: Jurnal Sains dan Teknologi, 2(2), 21–30. https://doi.org/10.3785/kohesi.v2i2.1705

Sabins, F. F. (1987). Remote Sensing: Principles and Interpretation. 2nd Ed. New York: W.H. Freeman and Company

Sampurno, R. M., dan Thoriq, A. (2016). Klasifikasi Tutupan Lahan Menggunakan Citra Landsat 8 Operational Land Imager (OLI) di Kabupaten Sumedang. Jurnal Teknotan, 10(2), 1978-1067.

Shaputra, D. (2024). Karakteristik Pola Permukiman di Pesisir Pantai (Studi Kasus: Kampung Jawa Lama Dusun Muthadhahuddin, Kota Lhokseumawe). Skrispi. Aceh: Universitas Malikussaleh.

Sinabutar, J. J., Sasmito, B., dan Sukmono, A. (2020). Studi Cloud Masking Menggunakan Band Quality Assessment, Function of Mask dan Multi-Temporal Cloud Masking Pada Citra Landsat 8. Jurnal Geodesi Undip, 9(3), 51-60.

Strahler, A. H. (1980). The Use of Prior Probabilities in Maximum Likelihood Classification of Remotely Sensed Data. Remote Sensing of Environment, 10(2), 135-163. https://doi.org/10.1016/0034-4257(80)90011-5

United States Geological Survey [USGS]. (2019). Landsat 9 (ver. 1.3, August 2022): U.S. Geological Survey Fact Sheet 2019–3008, 2. https://doi.org/10.3133/fs20193008.

Zhu, Q., Guo, X., Li, Z., dan Li, D. (2024). A Review of Multi-Class Change Detection for Satellite Remote Sensing Imagery. Geo-spatial Information Science, 27(1), 1-15. https://doi.org/10.1080/10095020.2022.2128902

Downloads

Published

2025-01-02

How to Cite

Ati, A., Aldiansyah, S., Hasan, H., Windayani, W., Bahar, H., Qadri, M. S., Ladiando, A. J., & Putra, A. (2025). Perubahan Penggunaan Lahan dan Tutupan Lahan Menggunakan Metode Maximum Likelihood. Jurnal Penelitian Pendidikan Geografi, 10(1), 80–89. https://doi.org/10.36709/jppg.v10i1.390

Issue

Vol. 10 No. 1 (2025)

Section

Articles

License

Copyright (c) 2025 Jurnal Penelitian Pendidikan Geografi

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.