ANALISIS POTENSI DAN RISIKO BANJIR PADA LAHAN PERTANIAN DI KABUPATEN PACITAN

Authors

  • Istika Nita Brawijaya University
  • Aditya Nugraha Putra Brawijaya University
  • Hayyuna Khairina Albayani Brawijaya University
  • Achmad Wildanul Khakim Brawijaya University
  • Shofie Rindi Nurhutami Brawijaya University

DOI:

https://doi.org/10.21776/ub.jtsl.2022.009.1.5

Keywords:

agriculture, flood, geographic information system remote sensing

Abstract

Flood is a national disaster in Indonesia. Some of those factors, landform driven factors and non-driven factors in the form of land use management. Pacitan Regency has an alluvial landform that is vulnerable to flooding. BNPB states that the floods in 2018 continued on 07 March 2019, as a massive flood resulted in losses reaching > 600 billion. This study analyzed the potential and risk of flood in Pacitan Regency in 2018, in the past (1998 and 2008), and used it to projected future floods (2030). The research focused on land use change and its impact on flood potential and hazards. The potential and risk of flooding were analyzed using Paimin’s method. The parameter was analyzed from Landsat 5, 7, and 8 images in an unsupervised. The trend will be used for Business As Usual (BAU) analysis in 2030. As a comparison, land use analysis carried out based on Land Ability Class (KKL) and Spatial Planning (RTRW). Data validation using confusion matrix overall accuracy. As a result, there had been an increase of potential floods in high and very high levels (1998 to 2018) around 263.04 ha and 368.99 ha. This continues until 2030 (BAU), around 191.61 ha and 172.8 ha. Land use management with RTRW will increase the potential flooding at a very high level in 2030 + 1088.63 ha. The best land management is the KKL application which reducing the flood potential at a very high level + 1973.39 ha. Accuracy tests conducted at 100 points in 2018 showed that 88 model points matched the flooding event ( 88% accuracy).

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Author Biographies

  • Istika Nita, Brawijaya University
    Soil Science Department
  • Aditya Nugraha Putra, Brawijaya University
    Soil science department
  • Hayyuna Khairina Albayani, Brawijaya University
    Soil science department
  • Achmad Wildanul Khakim, Brawijaya University
    Soil science department
  • Shofie Rindi Nurhutami, Brawijaya University
    Soil science department

References

Afni, N. 2016. Daya dukung lingkungan Kecamatan Pattalassang Kabupaten Takalar. Plano Madani: Jurnal Perencanaan Wilayah dan Kota 5(1): 74-85.

Alwi, L.O. dan Marwah, S. 2015. Analisis dampak perubahan penggunaan lahan terhadap degradasai lahan dan pendapatan petani di DAS Wanggu Sulawesi Tenggara. Jurnal Pengkajian dan Perkembangan Teknologi Pertanian 18(2): 117-130.

Ambarsari, D. 2016. Kajian resiko lahan pertanian terhadap banjir di Sub DAS Ngasinan Kecamatan Trenggalek dan Kecamatan Pogalan Kabupaten Trenggalek. Swara Bhumi 1(2): 108-114.

Apollonio, C., Balacco, G., Novelli, A., Tarantino, E. and Piccinni, A.F. 2016. Land use change impact on flooding areas: The case study of Cervaro Basin (Italy). Sustainalibity 8(10): 996.

Aprilliyana, D. 2015. Pengaruh perubahan penggunaan lahan Sub DAS Rawapening terhadap erosi dan sedimentasi Danau Rawapening. Jurnal Pembangunan Wilayah dan Kota 11(1): 103-116.

Arsyad, S. 1989. Konservasi Tanah dan Air. Bogor : Penerbit IPB Press

Arunyawat, S. dan Shrestha, R.P. 2016. Assessing land use change and its impact on ecosystem services in Northern Thailand. Sustainalibity 8(8): 768.

Badan Geologi Nasional.1992. Peta Geologi Lembar Pacitan Tahun 1992

Badan Nasional Penanggulangan Bencana. 2018. Data Informasi Bencana Indonesia. dibi.bnpb.go.id

Budiarti, W., Gravitiani, E. dan Mujiyo. 2018. Analisis aspek biofisik dalam penilaian kerawanan banjir di Sub DAS Samin Provinsi Jawa Tengah. Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan 8(1): 96-108.

Butt, A., Shabbir, R., Ahmad, S.S. and Aziz, N. 2015. Land use change mapping and analysis using remote sensing and GIS?: A case study of Simly Watershed, Islamabad, Pakistan. The Egyptian Journal of Remote Sensing and Space Sciences 18(2): 251-259.

Fatmawaty, F., Baskoro, D.P.T. dan Widiatmaka, W. 2015. Strategi pengembangan komoditas perkebunan berbasis daya dukung lahan di Kabupaten Majene. Majalah Ilmiah Globe 17(1): 25-32.

Handoko, U., Boer, R., Apip, A., Aldrian, E. dan Dasanto, B.D. 2018. Persepsi kerentantan bahaya banjir dan kekeringan akibat perubahan iklim di DAS Batanghari. LIMNOTEK: Perairan Darat Tropis di Indonesia 25(2): 110-124.

Haq, M., Akhtar, M., Muhammad, S., Paras, S. and Rahmatullah, J. 2012. Techniques of Remote Sensing and GIS for flood monitoring and damage assessment: A case study of Sindh province, Pakistan. Flood monitoring using satellite data proved to be an effective method to get quick and precise overview of flooded areas. The Egyptian Journal of Remote Sensing and Space Sciences 15: 135-141.

Hoirisky, C., Rahmadi, dan Harahap, T. 2018. Pengaruh perubahan pola pengunaan lahan terhadap banjir di DAS Buah Kota Palembang. Prosiding Seminar Nasional Hari Air Dunia 2018, 14-24.

Khan, M.N.H., Mia, M.Y. and Hossain, M.R. 2012. Impact of flood on crop production in haor areas of two upazillas in Kishoregonj. Journal of Environmetal Science and Natural Resources 5(1): 193-198.

Laan, C.V. der, Budiman, A., Verstegen, J.A., Dekker, S.C., Effendy, W., Faaij, A.P.C., Kusuma, A.D. and Verweij, P.A. 2018. Analyses of land cover change trajectories leading to tropical forest loss: Illustrated for the West Kutai and Mahakam Ulu Districts, East Kalimantan, Indonesia. Land 7(3): 108.

Mao, G., Onfroy, T., Moncoulon, D., Quantin, A. andn Robert, C. 2016. Comperhensive flood economic losses: Review of the potential damage and implementation of an agricultural impact model. EDP Sciences 7: 1-10.

Mubarok, Z., Murtilaksono, K. dan Wahjunie, E.D. 2015. Kajian respon perubahan penggunaan lahan terhadap karakteristik hidrologi DAS Way Betung Lampung. Jurnal Penelitian Kehutanan Wallacea 4(1): 1-10.

Muin, S.F., Boer, R. dan Suharnoto, Y. 2015. Pemodelan banjir dan analisa kerugian akibat bencana banjir di DAS Citarum Hul. Jurnal Tanah dan Iklim 39(2): 75-84.

Nita, I., Putra, A.N. and Fibrianingtyas, A. 2020. Analysis of drought hazards in agricultural land in Pacitan Regency, Indonesia. Sains Tanah: Journal of Soil Science and Agroclimatology 17(1): 7-15.

Prasasti, I., Sofan, P., Febrianti, N. dan Suprapto, T. 2015. Sekapur Sirih Kajian Fenomena Banjir di Jakarta. dalam Bunga Rampai Pemanfaatan Data Penginderaan Jauh untuk Mitigasi Bencana Banjir (1st ed., pp. ix-xxvii). IPB Pres.

Pratama, W. dan Yuwono, S.B. 2016. Analissi perubahan penggunaan lahan terhadap karakteristik hidrologi DAS Bulok. Jurnal Sylva Lestari 4(3): 11-20.

Purnama, S., Marfai, Muh. A., Anggraini, D.F. dan Cahyadi, A. 2015. Estimasi kerugian ekonomi akibat banjir rob menggunakan sistem informasi geografis di Kecamatan Penjaringan, Jakarta Utara. Jurnal SPATIAL - Wahana Komunikasi dan Informasi Geografi 14(2): 8-13.

Putra, A.N., Nita, I., Jauhary, M.R.A., Nurhutami, S.R. and Ismail, M.H. 2021. Landslide risk analysis on agriculture area in Pacitan Regency in East Java Indonesia using geospatial techniques. Environment and Natural Resources Journal 17(2): 141-152.

Riadi, B. 2017. Analisis spasial risiko bahaya banjir di lahan sawah di Kabupaten Karawang. Seminar Nasional Geomatika 2017, 223-240.

Rizkiah, R. 2017. Analisis faktor-faktor penyebab banjir di Kecamatan Tikala Kota Manado. Spasial?: Perencanaan Wilayah dan Kota 1(1): 105-113.

Samarasinghe, S.M.J.S., Nandalal, H.K., Weliwitiya, D.P., Fowze, J.S.M., Hazarika, M.K. and Samarakoon, L. 2010. Application of remote sensing and gis for flood risk analysis: A case study at Kalu- Ganga River, Sri Lanka. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Science 38(8): 110-115.

Sulistyono, E., Suwarno, Lubis, I. dan Triwidiyati. 2012. Pengaruh umur tanam dan lama banjir terhadap pertumbuhan dan pridusksi galur-galur padi sawah. Agrovigor: Jurnal Agroekoteknologi 5(2): 132-135.

Sumastuti, E. dan Pradono, N.S. 2016. Dampak perubahan iklim pada tanaman padi di Jawa Tengah. Journal of Economic Education 5(1): 31-38.

Tan, M.L., Ibrahim, A.L., Yusop, Z., Duan, Z. and Ling, L. 2015. Impact of land -use and climate variability on hydrological components In The Johor River Basin, Malaysia. Hydrological Sciences Journal 60(5): 873-889.

Tarigan, S.D. 2016. Land cover change and its impact on flooding frequency of Batanghari Watershed, Jambi Province, Indonesia. Procedia Environmental Sciences 33: 386-392.

Tommi, Barus, B., dan Dharmawan, A. H. 2017. Pemetaan bahaya banjir lahan sawah di Kabupaten Karawang. Jurnal Ilmu Tanah dan Lingkungan 19(1): 41-45.

Yamani, A., Rustiadi, E. dan Widiatmaka. 2015. Evaluasi pola ruang berbasis kerawanan banjir di Kabupaten Pidie. Tata Loka 17(3): 130-147.

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Published

01-01-2022

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How to Cite

Nita, I., Putra, A. N., Albayani, H. K., Khakim, A. W., & Nurhutami, S. R. (2022). ANALISIS POTENSI DAN RISIKO BANJIR PADA LAHAN PERTANIAN DI KABUPATEN PACITAN. Jurnal Tanah Dan Sumberdaya Lahan, 9(1), 37-48. https://doi.org/10.21776/ub.jtsl.2022.009.1.5

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