Spatio-Temporal Trends in Land Conversion and Their Implications for Environmental Resilience: The Case of Malang Regency, 2015-2025
DOI:
https://doi.org/10.70609/w54hp279Keywords:
Citra landsat, Daya dukung lingkungan, Kabupaten Malang, Penggunaan dan penutupan lahanAbstract
Dinamika penggunaan dan penutupan lahan (land-use and land-cover/ LULC) bertindak sebagai indikator vital untuk mengevaluasi transformasi spasial regional dan tekanan lingkungan. Penelitian ini bertujuan untuk mengkuantifikasi pola konversi lahan dekadal dan menilai implikasi ekologisnya di Kabupaten Malang dari tahun 2015 hingga 2025 dengan menggunakan citra Landsat dan data proyeksi di seluruh tujuh kelas LULC. Hasilnya menunjukkan ekspansi yang signifikan pada permukiman (3.592,92 ha), pertanian (6.780,84 ha), perkebunan (155,18 ha), dan badan air (5,28 ha), di samping kontraksi pada hutan (3.774,69 ha), lahan terbuka (6.214,27 ha), dan semak belukar (545,26 ha) yang didorong oleh ekspansi perkotaan dan agraria. Secara ekologis, kehilangan vegetasi ini mengancam daya dukung lingkungan (environmental carrying capacity) dengan merusak fungsi hidrologis dan meningkatkan risiko erosi. Konsekuensinya, temuan ini menyoroti perlunya perencanaan tata ruang yang cermat dan regulasi penggunaan lahan yang ketat untuk memastikan keberlanjutan regional.
References
Arysandi, A.A., Santosa, L.W., Sudrajat. (2025). Kajian Jasa Ekosistem dan Daya Dukung Lahan Pertanian Untuk Penyediaan Bahan Pangan di Kabupaten Malang. Tesis. Universitas Gadjah Mada.
Badan Pusat Statistik Kabupaten Malang. (2024). Tabel Statistik Lingkungan.
Campbell, J. B., & Wynne, R. H. (2021). Introduction to Remote Sensing (6th ed.). Guilford Press.
Carvalho, L.F., Oliveira, G.M., Araújo, H.F., & Nero, M.A. (2024). Using of high spatial resolution images to evaluate the thematic accuracy of land use and occupation maps with the Kappa index. MOJ Ecology & Environmental Sciences, 9(5), 220–228. https://doi.org/10.15406/mojes.2024.09.00329
Congalton, R. G., & Green, K. (2019). Assessing the Accuracy of Remotely Sensed Data: Principles and Practices (3rd ed.). CRC Press.
Foody, G. M. (2020). Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification. Remote Sensing of Environment, 239, 111630. https://doi.org/10.1016/j.rse.2019.111630
Foody, G. M. (2023). Remote Sensing of Land Cover: Methods and Applications. Academic Press.
Florini, D., Darmatama, I., Wulandari, T., Dvianri, M., Reflis. (2024). Analisis deforestasi dan dinamika tutupan lahan berbasis data KLHK terhadap Kesesuaian Rencana Tata Ruang Wilayah di Provinsi Bengkulu. Integrative Prospectives of Social and Science Journal (IPSSJ), Vol.3. No. 4. 1684 – 1695
Global Forest Watch. (2026). Malang, Indonesia, Jawa Timur Deforestation Rates & Statistics.
Handoko, D., Hasyim, A.W., Usman, F. (2024). Analisis Citra Landsat Multitemporal Perubahan Tutupan Lahan di Wilayah Pengembangan Lingkar Kota Malang. Journal Planning for Urban Region and Environment. Vol. 13. No. 3. 227 – 234.
Jensen, J. R. (2021). Introductory Digital Image Processing: A Remote Sensing Perspective (4th ed.). Pearson.
Kadafin, M., Puspaningsih, N., & Kuncahyo, B. (2026). Evaluation and Prediction of Land Cover Changes in the Jangkok Watershed Using the Approach Ca-Ann. Eduvest - Journal of Universal Studies, 6(5), 5749–5762. https://doi.org/10.59188/eduvest.v6i5.52676
Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159–174. https://doi.org/10.2307/2529310
Lillesand, T., Kiefer, R. W., & Chipman, J. (2021). Remote Sensing and Image Interpretation (8th ed.). Wiley.
Mandala, M., Indarto, I., Mas’udi, A. F., & Saputra, A. A. (2023). Land Use and Land Cover (LULC) Change in Eastern Areas of East Java From 1972 To 2021: Learning From Landsat Image. Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering), 12(4), 1022–1035. https://doi.org/10.23960/jtep-l.v12i4.1022-1035
Nadzirah, R., Indarto, I., Widyaningsih, D.R., & Okiawan, M.I.T. (2023). Analisis Perubahan Tutupan Lahan (Land Cover) Wilayah Malang Raya Menggunakan Citra Sentinel. Rona Teknik Pertanian, 16(2), 160–174. https://doi.org/10.17969/rtp.v16i2.33675
Nahib, I., Wahyudin, Y., Widiatmaka, W., Tarigan, S. D., Ambarwulan, W., Ramadhani, F., Pranoto, B., Nugroho, N. P., Turmudi, T., Cahya, D. L., Darmawan, M., Suprajaka, S., Suryanta, J., & Winarno, B. (2026). Spatio-Temporal Dynamics of Land Use and Land Cover Change and Ecosystem Service Value Assessment in Citarum Watershed, Indonesia: A Multi-Scenario and Multi-Scale Approach. Resources, 15(2), 24. https://doi.org/10.3390/resources15020024
Oktavia, D., Pratiwi, S.D., Kamaludin, N.N., Widiawaty. M.A., Dede, M. (2024). Dynamics of Land use and Land cover in the Belitung Island Indonesia. Journal Heliyon, Vol. 10. Issue 12. https://doi.org/10.1016/j.heliyon.2024.e33291
Olofsson, P., Foody, G.M., Herold, M., Stehman, S.V., Woodcock, C.E., & Wulder, M.A. (2014). Good practices for estimating area and assessing accuracy of land change. Remote Sensing of Environment, 148, 42–57. https://doi.org/10.1016/j.rse.2014.02.015.
Pramono, Irfan & Basuki, Tyas & Santosa, Budi & Nugroho, Hunggul & Pratiwi, Pratiwi & Purwanto, Edi & Narendra, Budi. (2026). Hydrological Consequences of Land Use/Land Cover Change in Indonesia: Impacts, Trends, and Disaster Mitigation. Trees, Forests and People. Vol. 25. 101291. https://doi.org/10.1016/j.tfp.2026.101291.
Prayogi, H., Setiadi, H., Supriatna, Dewayany. (2024). Model Prediksi Perubahan Penutup Lahan di Kabupaten Majalengka Menggunakan Metode Cellular Automata Markov Chain. Majalah Geografi Indonesia. Vol. 38. No. 2 : 114-126. DOI: https://doi.org/10.22146/mgi.70636
Rusdiono, T.P., Wibowo, A. (2025). Identification of Spatial and Temporal Land Cover Alterations in the Jakarta TOD areas utilizing Google Earth Data. Jurnal Pembangunan Wilayah dan Perencanaan Partisipatif REGION, Vol. 20, No. 2. 798 – 810. DOI: https://doi.org/10.20961/region.v20i2.97726
Tikaputra, F., Puspaningsih, N., & Tiryana, T. (2025). Monitoring Land Cover Change Using Change Vector Analysis (CVA) in Central Bengkulu Regency, Indonesia. Jurnal Biologi Tropis, 25(3), 3060–3072. https://doi.org/10.29303/jbt.v25i3.9724
Wang, F., & Xie, Y. (2022). Remote Sensing for Land Use and Land Cover Change Analysis. CRC Press.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Monika Agustia, Sukma Sakti Agita Hermanto
This work is licensed under a Creative Commons Attribution 4.0 International License.
