PEMETAAN LOKASI KEBAKARAN HUTAN DAN LAHAN DI NTB DENGAN MENGGUNAKAN ALGORITMA NAIVE BAYES

  • Rachmawati Oktaria Mardiyanto MTI Universitas AMIKOM Yogyakarta
  • Fitriani Fitriani MTI Universitas Amikom Yogyakarta
  • Ridwan Joko Purnomo MTI Universitas Amikom Yogyakarta
  • Kusrini Kusrini MTI Universitas Amikom Yogyakarta
  • Dina Maulina MTI Universitas Amikom Yogyakarta
Keywords: Forest Fire, Land, Classification, Naïve Bayes.

Abstract

Forest and land fires are one of the environmental problems in terms of economic and ecological harm. The number of cases of forest fires in the province of NTB has increased dramatically, causing dangerous smog. The increasing incidence of forest and land fires is evidenced by the increasing area burned and the frequency of fires in the last few decades. This study aims to classify the locations of forest and land fires and the causes of fires that occur in NTB. This research has used 104 data in three years (2017-2019) taken from the website of the Department of Environment and Forestry of the province of NTB. The classification model for mapping forest and land fires and the causes of fires uses the Naïve Bayes algorithm with an accuracy value of 55.555%. Thus, it can be concluded that the classification model using Naïve Bayes has the potential to be used effectively so that it can classify the location of forest and land fires and the causes of fires.

References

[1] T. A. Pratiwi, M. Irsyad, R. Kurniawan, S. Agustian, and B. S. Negara, “Algoritma Naïve Bayes Di Kabupaten Pelalawan,” vol. 6, no. 1, pp. 139–148, 2021.
[2] A. Putra, A. T. Ratnaningsih, and M. Ikhwan, “Pemetaan Daerah Rawan Kebakaran Hutan Dan Lahan Dengan Menggunakan Sistem Informasi Geografis (Studi Kasus: Kecamatan Bukit Batu, Kab. Bengkalis),” Wahana For. J. Kehutan., vol. 13, no. 1, pp. 55–63, 2018, doi: 10.31849/forestra.v13i1.1555.
[3] A. Rezainy, L. Syaufina, and I. S. Sitanggang, “Pemetaan Daerah Rawan Kebakaran Di Lahan Gambut Berdasarkan Pola Sekuens Titik Panas Di Kabupaten Pulang Pisau Kalimantan Tengah,” J. Pengelolaan Sumberd. Alam dan Lingkung. (Journal Nat. Resour. Environ. Manag., vol. 10, no. 1, pp. 66–76, 2020, doi: 10.29244/jpsl.10.1.66-76.
[4] I. P. Sonya and Prihandoko, “Analisis Web Scraping untuk Data Bencana Alam dengan Menggunakan Teknik Breadth-First Search Terhadap 3 Media Online,” J. Ilm. Inform. Komput. Univ. Gunadarma, vol. 21, no. 3, pp. 69–77, 2016.
[5] A. Primajaya, B. N. Sari, and A. Khusaeri, “Prediksi Potensi Kebakaran Hutan dengan Algoritma Klasifikasi C4.5 Studi Kasus Provinsi Kalimantan Barat,” J. Edukasi dan Penelit. Inform., vol. 6, no. 2, p. 188, 2020, doi: 10.26418/jp.v6i2.37834.
[6] I. S. Sitanggang, “Pengunaan Teknik Data Mining dalam Pemodelan Resiko Terjadinya Kebakaran Hutan,” 2014, [Online]. Available: http://repository.ipb.ac.id/handle/123456789/68495.
[7] C. A. Sugianto, “Analisis Komparasi Algoritma Klasifikasi Untuk Menangani Data Tidak Seimbang Pada Data Kebakaran Hutan,” Techno.Com, vol. 14, no. 4, pp. 336–342, 2015, [Online]. Available: http://publikasi.dinus.ac.id/index.php/technoc/article/view/992.
[8] C. A. Sugianto and F. R. Maulana, “Algoritma Naïve Bayes Untuk Klasifikasi Penerima Bantuan Pangan Non Tunai ( Studi Kasus Kelurahan Utama ),” Techno.Com, vol. 18, no. 4, pp. 321–331, 2019, doi: 10.33633/tc.v18i4.2587.
[9] E. W. Andrianto and N. Hidayat, “Sistem Diagnosis Penyakit Hewan Pada Anjing Dengan Menggunakan Metode Naive Bayes,” J. Pengemb. Teknol. Inf. dan Ilmu Komput. Univ. Brawijaya, vol. 2, no. 11, pp. 5512–5517, 2018, [Online]. Available: http://j-ptiik.ub.ac.id/index.php/j-ptiik/article/view/1685.
[10] R. Julianto, E. D. Bintari, and Indrianti, “Analisis Sentimen Layanan Provider Telepon Seluler pada Twitter menggunakan Metode Naïve Bayesian Classification,” J. Big Data Anal. Artif. Intell., vol. 3, no. 1, 2017.
[11] H. Annur, “Klasifikasi Masyarakat Miskin Menggunakan Metode Naive Bayes,” Ilk. J. Ilm., vol. 10, no. 2, pp. 160–165, 2018, doi: 10.33096/ilkom.v10i2.303.160-165.
[12] Satu Data. Lingkungan Hidup dan Kehutanan Provinsi Nusa Tenggaran Barat. 2019. https://dislhk.ntbprov.go.id/data/dataset/data-penanganan-kebakaran-hutan-dan-lahan-di-ntb
Published
2021-12-25
How to Cite
Mardiyanto, R. O., Fitriani, F., Purnomo , R. J., Kusrini, K., & Maulina , D. (2021). PEMETAAN LOKASI KEBAKARAN HUTAN DAN LAHAN DI NTB DENGAN MENGGUNAKAN ALGORITMA NAIVE BAYES . TEKNIMEDIA: Teknologi Informasi Dan Multimedia, 2(2), 69-75. https://doi.org/10.46764/teknimedia.v2i2.44
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