Optimasi Lokasi Bencana Alam Menggunakan Text Filtering Dan Algoritma Jaro Winkler Berbasis Web
DOI:
https://doi.org/10.22441/jitkom.v8i2.009Keywords:
bencana alam, berita, text filtering, jaro winklerAbstract
Pada akhir tahun 2022 terjadi beberapa bencana alam yang terasa khususnya di Ibu Kota, yaitu banjir, dan gempa memang terjadi di luar DKI Jakarta tetapi sampai terasa gempanya. Dari kejadian tersebut akan dibuatkan untuk monitoring dan optimasi lokasi kejadian gempa bumi dan banjir yang terjadi berbasis web. Dari wesbite pemerintah, juga terjadi gempanya saja, tetapi untuk banjir belum ada. Berdasarkan kejadian beberapa bencana alam tersebut, diharapkan penelitian ini dapat memberikan informasi terkait lokasi banjir, gempa bumi, kebakaran hutan, dan tanah longsor di daerah khususnya di daerah Indonesia. Dengan adanya sumber website berita, merupakan sumber data yang akan diproses. Selanjutnya tingkat presentase akurasi yang didapat dalam menggabungkan dari text filtering dan algoritma jaro winkler.References
CNN Indonesia, “Rentetan Bencana sepanjang 2022, Gempa Bertubi-tubi di Akhir Tahun.” [Online]. Available: https://www.cnnindonesia.com/nasional/20221226054204-20-891947/rentetan-bencana-sepanjang-2022-gempa-bertubi-tubi-di-akhir-tahun
Yoga Pranata, Enrico Setya Damaputra, Pangilinan Gunawan, and Anita Ratnasari, “SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BANTUAN DANA KORBAN BENCANA ALAM BANJIR,” JSiI (Jurnal Sist. Informasi), vol. 9, no. 2, pp. 207–214, Sep. 2022, doi: 10.30656/jsii.v9i2.5110.
S. Dwiasnati and Y. Devianto, “Classification of Flood Disaster Predictions using the C5.0 and SVM Algorithms based on Flood Disaster Prone Areas,” Int. J. Comput. Trends Technol., vol. 67, no. 07, pp. 49–53, Jul. 2019, doi: 10.14445/22312803/ijctt-v67i7p107.
T. Tohti, J. Huang, A. Hamdulla, and X. Tan, “Text filtering through multi-pattern matching: A case study of Wu-Manber-Uy on the language of Uyghur,” Inf., vol. 10, no. 8, 2019, doi: 10.3390/info10080246.
T. Efriyanto and M. Hayaty, “Jaro winkler algorithm for measuring similarity online news,” J. Tek. Inform., vol. 3, no. 4, pp. 975–982, 2022.
J. Frando, I. Ruslianto, R. Hidayati, J. Rekayasa Sistem Komputer, and J. H. Hadari Nawawi, “PENERAPAN JARO WINKLER DISTANCE DALAM APLIKASI PENGOREKSI KESALAHAN PENULISAN BAHASA INDONESIA BERBASIS WEB [1],” 2019.
H. Nur Hanani, H. Jayadianti, H. Cahya Rustamaji, and U. Pembangunan Nasional Veteran Yogyakarta, “Fuzzy String Matching untuk Semi-Otomatisasi Pencocokan Kata dengan Algoritma Jaro Winkler Distance pada Dokumen Microsoft Word,” SEMNASIF, pp. 145–160, 2021, [Online]. Available: www.myvocabulary.com
M. A. Yulianto and N. Nurhasanah, “The Hybrid of Jaro-Winkler and Rabin-Karp Algorithm in Detecting Indonesian Text Similarity,” J. Online Inform., vol. 6, no. 1, p. 88, Jun. 2021, doi: 10.15575/join.v6i1.640.
A. Sanjaya, “OPTIMASI PENCARIAN DATA MENGGUNAKAN TEXT FILTERING DAN ALGORITMA JARO WINKLER,” J. Ilm. NERO, vol. 5, no. 1, pp. 24–29, 2020.
H. T. Nugroho, “Pengaruh Algoritma Stemming Nazief-Adriani Terhadap Kinerja Algoritma Winnowing Untuk Mendeteksi Plagiarisme Bahasa Indonesia,” J. Ultim. Comput., vol. 9, no. 1, pp. 36–40, 2017, doi: 10.31937/sk.v9i1.572.
K. K. Kiilu, G. Okeyo, R. Rimiru, and K. Ogada, “Using Naïve Bayes Algorithm in detection of Hate Tweets,” Int. J. Sci. Res. Publ., vol. 8, no. 3, pp. 99–107, Mar. 2018, doi: 10.29322/ijsrp.8.3.2018.p7517.
R. Kamatchia, J. Iyer, and S. Singh, “Software Engineering:Web Development Life cycle,” Int. J. Eng. Res. Technol., vol. 2, no. 3, pp. 1–4, 2013.
M. Z. Alksasbeh, B. A. Y. Alqaralleh, T. Abukhalil, A. Abukaraki, T. Al Rawashdeh, and M. Al-Jaafreh, “Smart detection of offensive words in social media using the soundex algorithm and permuterm index,” Int. J. Electr. Comput. Eng., vol. 11, no. 5, pp. 4431–4438, 2021, doi: 10.11591/ijece.v11i5.pp4431-4438.
J. W. Laiya et al., “PENTINGNYA AKURASI DATA DALAM MEMPERTAHANKAN KINERJA PERUSAHAAN PADA PT. MASSINDO SOLARIS NUSANTARA,” 2022.
M. Sitanggang and E. Simamora, “Increasing Accuracy of Classification in C4.5 Algorithm by Applying Principle Component Analysis for Diabetes Diagnosis,” vol. 6, no. 2, 2022, doi: 10.25217/numerical.v6i2.
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