URBAN LANDSCAPE TRANSFORMATION: LAND COVER CHANGE ANALYSIS IN SIRIMAU SUB-DISTRICT, AMBON CITY
DOI:
https://doi.org/10.59407/jdaics.v1i2.649Keywords:
land cover, Lanscape, Sirimau, Urban, SIGAbstract
This study aims to analyze the Pattern of Land Cover Change in Sirimau District, Ambon City, Indonesia. The introduction of the research discusses the importance of understanding the dynamic interaction between human activities and land resources in the context of spatially distributed land cover. The research method used was descriptive quantitative with a spatial approach, conducted in Sirimau Sub-district, Ambon City, which experienced high population growth and development of built-up areas. Satellite image data analysis was used to identify patterns of land cover change from 2014 to 2024. The results showed the dominance of agricultural land in 2014, with certain areas converted to residential and built-up land in 2019 and 2024. The findings provide valuable insights in understanding the dynamics of land cover change in Sirimau sub-district and its relevance in sustainable land resource management.
References
Achmadi, P. N., Dimyati, M., Manesa, M. D. M., & Rakuasa, H. (2023). Model Perubahan Tutupan Lahan Berbasis Ca-Markov: Studi Kasus Kecamatan Ternate Utara, Kota Ternate. Jurnal Tanah Dan Sumberdaya Lahan, 10(2), 451–460. https://doi.org/https://doi.org/10.21776/ub.jtsl.2023.010.2.28
Achugbu, I. C., Olufayo, A. A., Balogun, I. A., Dudhia, J., McAllister, M., Adefisan, E. A., & Naabil, E. (2022). Potential effects of Land Use Land Cover Change on streamflow over the Sokoto Rima River Basin. Heliyon, 8(7), e09779. https://doi.org/10.1016/j.heliyon.2022.e09779
Amini Parsa, V., Yavari, A., & Nejadi, A. (2016). Spatio-temporal analysis of land use/land cover pattern changes in Arasbaran Biosphere Reserve: Iran. Modeling Earth Systems and Environment, 2(4), 1–13. https://doi.org/10.1007/s40808-016-0227-2
Badan Standarisasi Nasional. (2010). SNI 7645-2010 tentang Klasifikasi Penutup Lahan.
Caballero, C. B., Ruhoff, A., & Biggs, T. (2022). Land use and land cover changes and their impacts on surface-atmosphere interactions in Brazil: A systematic review. Science of The Total Environment, 808, 152134. https://doi.org/https://doi.org/10.1016/j.scitotenv.2021.152134
Demissie, T. A. (2022). Land use and land cover change dynamics and its impact on watershed hydrological parameters: the case of Awetu watershed, Ethiopia. Journal of Sedimentary Environments, 7(1), 79–94. https://doi.org/10.1007/s43217-021-00084-1
Fallati, L., Savini, A., Sterlacchini, S., & Galli, P. (2017). Land use and land cover (LULC) of the Republic of the Maldives: first national map and LULC change analysis using remote-sensing data. Environmental Monitoring and Assessment, 189(8), 417. https://doi.org/10.1007/s10661-017-6120-2
Hegazy, I. R., & Kaloop, M. R. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117–124. https://doi.org/10.1016/j.ijsbe.2015.02.005
Hu, X., Li, X., & Lu, L. (2018). Modeling the Land Use Change in an Arid Oasis Constrained by Water Resources and Environmental Policy Change Using Cellular Automata Models. Sustainability, 10(8), 2878. https://doi.org/10.3390/su10082878
Irawan, I. A., Supriatna, S., Manessa, M. D. M., & Ristya, Y. (2019). Prediction Model of Land Cover Changes using the Cellular Automata – Markov Chain Affected by the BOCIMI Toll Road in Sukabumi Regency. KnE Engineering, 4(3 SE-Articles). https://doi.org/10.18502/keg.v4i3.5860
Kulkarni, D. D., Waghmare, V., Kokate, A. D., Pawar, G. S., & Pawar, R. S. (2021). Land Use Land Cover Detection from Naldurg Area of Osmanabad District, Maharashtra, India. In Techno-Societal 2020 (pp. 1131–1137). Springer International Publishing. https://doi.org/10.1007/978-3-030-69925-3_107
Latue, P. C., & Rakuasa, H. (2023). Analysis of Land Cover Change Due to Urban Growth in Central Ternate District, Ternate City using Cellular Automata-Markov Chain. Journal of Applied Geospatial Information, 7(1), 722–728. https://doi.org/https://doi.org/10.30871/jagi.v7i1.4653
Latue, P. C., Manakane, S. E., & Rakuasa, H. (2023). Analisis Spasial Kesesuaian Lanskap Kota Ambon Untuk Permukiman. Larisa Penelitian Multidisiplin, 1(1), 15-22.
Latue, P. C., Rakuasa, H., & Manakane, S. E. (2023). Policy and Planning for Regional Development in the North Coast of Central Java: A Review. Nusantara Journal of Behavioral and Social Sciences, 2(2), 45–48.
Latue, P. C., Septory, J. S. I., & Rakuasa, H. (2023). Perubahan Tutupan Lahan Kota Ambon Tahun 2015, 2019 dan 2023. JPG (Jurnal Pendidikan Geografi), 10(1), 177–186. https://doi.org/http://dx.doi.org/10.20527/jpg.v10i1.15472
Latue, Philia, C., Manakane, S. E., & Rakuasa, H. (2023). Analisis Perkembangan Kepadatan Permukiman di Kota Ambon Tahun 2013 dan 2023 Menggunakan Metode Kernel Density. Blend Sains Jurnal Teknik, 2(1), 26–34. https://doi.org/10.56211/blendsains.v2i1.272
Manakane, S. E., Rakuasa, H., & Latue, P. C. (2023). Pemanfaatan Teknologi Penginderaan Jauh dan Sistem Informasi Geografis untuk Identifikasi Perubahan Tutupan Lahan di DAS Marikurubu, Kota Ternate. Tabela Jurnal Pertanian Berkelanjutan, 1(2), 51–60. https://doi.org/https://jurnal.ilmubersama.com/index.php/tabela/article/view/301#:~:text=DOI%3A-,https%3A//doi.org/10.56211/tabela.v1i2.301,-Keywords%3A%20Marikurubu
Philia Christi Latue, & H. R. (2023). Pemanfaatan Data Penginderaan Jauh dan Sistim Informasi Geografis Untuk Identifikasi Perkembangan Lahan Terbangun pada Wilayah Rawan Gempa Bumi di Kota Ambon. INSOLOGI: Jurnal Sains Dan Teknologi, 2(3), 476–485. https://doi.org/https://doi.org/10.55123/insologi.v2i3.1899
Philia Christi Latue, H. R. (2022). Dinamika Spasial Wilayah Rawan Tsunami di Kecamatan Nusaniwe, Kota Ambon, Provinsi Maluku. Jurnal Geosains Dan Remote Sensing (JGRS), 3(2), 77–87. https://doi.org/https://doi.org/10.23960/jgrs.2022.v3i2.98
Philia Christi Latue, & Heinrich Rakuasa. (2023). Spatial Dynamics of Land Cover Change in Wae Batu GantungWatershed, Ambon City, Indonesia. International Journal of Scientific Multidisciplinary Research, 1(3), 117–130. https://doi.org/10.55927/ijsmr.v1i3.3623
Putri, R. A., & Supriatna, S. (2021). Land cover change modeling to identify critical land in the Ciletuh Geopark tourism area, Palabuhanratu, Sukabumi Regency. IOP Conference Series: Earth and Environmental Science, 623, 012081. https://doi.org/10.1088/1755-1315/623/1/012081
Rakuasa, H., & Pakniany, Y. (2022). Spatial Dynamics of Land Cover Change in Ternate Tengah District, Ternate City, Indonesia. Forum Geografi, 36(2), 126–135. https://doi.org/DOI: 10.23917/forgeo.v36i2.19978
Rakuasa, H., Salakory, M., & Latue, P. C. (2022). Analisis dan Prediksi Perubahan Tutupan Lahan Menggunakan Model Celular Automata-Markov Chain di DAS Wae Ruhu Kota Ambon. Jurnal Tanah Dan Sumberdaya Lahan, 9(2), 285–295. https://doi.org/https://doi.org/10.21776/ub.jtsl.2022.009.2.9
Rakuasa, H., Salakory, M., & Mehdil, M. C. (2022). Prediksi perubahan tutupan lahan di DAS Wae Batu Merah, Kota Ambon menggunakan Cellular Automata Markov Chain. Jurnal Pengelolaan Lingkungan Berkelanjutan (Journal of Environmental Sustainability Management), 6(2), 59–75. https://doi.org/https://doi.org/10.36813/jplb.6.2.59-75
Rakuasa, H., Sihasale , D. A., & Latue, P. C. (2023). Spatial pattern of changes in land surface temperature of seram island based on google earth engine cloud computing. International Journal of Basic and Applied Science, 12(1), 1–9. https://doi.org/https://doi.org/10.35335/ijobas.v12i1.172
Rakuasa, Heinrich, and P. C. L. (2023). Regional Development Planning and Policy in the Aspects of Vulnerability and Disaster Resilient Cities: A Review. Sinergi International Journal of Communication Sciences, 1(2), 64–77. https://doi.org/https://doi.org/10.61194/ijcs.v1i2.52
Rakuasa, H. (2022). Analisis Spasial - Temporal Perubahan Tutupan Lahan di Kabupaten Maluku Barat Daya. GEOGRAPHIA : Jurnal Pendidikan Dan Penelitian Geografi, 3(2), 115–122. https://doi.org/10.53682/gjppg.v3i2.5262
Rakuasa, H., & Pakniany, Y. (2023). Urbanization and Social Change in Ambon City: Challenges and Opportunities for Local Communities. Pancasila International Journal of Applied Social Science, 2(01), 12–18. https://doi.org/10.59653/pancasila.v2i01.331
Rakuasa, H., Sihasale, D. A., & Latue, P. C. (2022). Model Tutupan Lahan di Daerah Aliran Sungai Kota Ambon Tahun 2031: Studi Kasus DAS Wai Batu Gantung, Wai Batu Gajah, Wai Tomu, Wai Batu Merah Dan Wai Ruhu. Jurnal Tanah Dan Sumberdaya Lahan, 9(2), 473–486. https://doi.org/10.21776/ub.jtsl.2022.009.2.29
Rakuasa, H., Sihasale, D. A., Somae, G., & Latue, P. C. (2023). Prediction of Land Cover Model for Central Ambon City in 2041 Using the Cellular Automata Markov Chains Method. Jurnal Geosains Dan Remote Sensing, 4(1), 1–10. https://doi.org/10.23960/jgrs.2023.v4i1.85
Rakuasa, H., Supriatna, S., Karsidi, A., Rifai, A., Tambunan, M. ., & Poniman K, A. (2022). Spatial Dynamics Model of Earthquake Prone Area in Ambon City. IOP Conference Series: Earth and Environmental Science, 1039(1), 012057. https://doi.org/10.1088/1755-1315/1039/1/012057
Salakory, M., Rakuasa, H. (2022). Modeling of Cellular Automata Markov Chain for predicting the carrying capacity of Ambon City. Jurnal Pengelolaan Sumberdaya Alam Dan Lingkungan (JPSL), 12(2), 372–387. https://doi.org/https://doi.org/10.29244/jpsl.12.2.372-387
Sihasale, D. A., Latue, P. C., & Rakuasa, H. (2023). Spatial Analysis of Built-Up Land Suitability in Ternate Island. Jurnal Riset Multidisiplin Dan Inovasi Teknologi, 1(02), 70–83. https://doi.org/10.59653/jimat.v1i02.219
Somae, G., Supriatna, S., Rakuasa, H., & Lubis, A. R. (2023). Pemodelan Spasial Perubahan Tutupan Lahan Dan Prediksi Tutupan Lahan Kecamatan Teluk Ambon Baguala Menggunakan Ca-Markov. Jurnal Sains Informasi Geografi (J SIG), 6(1), 10–19. https://doi.org/http://dx.doi.org/10.31314/jsig.v6i1.1832
Sugandhi, N., Supriatna, S., Kusratmoko, E., & Rakuasa, H. (2022). Prediksi Perubahan Tutupan Lahan di Kecamatan Sirimau, Kota Ambon Menggunakan Celular Automata-Markov Chain. JPG (Jurnal Pendidikan Geografi), 9(2), 104–118. https://doi.org/http://dx.doi.org/10.20527/jpg.v9i2.13880
Talukdar, S., Singha, P., Mahato, S., Shahfahad, Pal, S., Liou, Y.-A., & Rahman, A. (2020). Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review. Remote Sensing, 12(7), 1135. https://doi.org/10.3390/rs12071135
Zhou, Y., Wu, T., & Wang, Y. (2022). Urban expansion simulation and development-oriented zoning of rapidly urbanising areas: A case study of Hangzhou. Science of The Total Environment, 807, 150813. https://doi.org/https://doi.org/10.1016/j.scitotenv.2021.150813
