OPTIMIZING NATURAL DISASTER LOCATIONS USING TEXT FILTERING WITH WEB-BASED JARO WINKLER ALGORITHM

  • Dwiki Jatikusumo Informatics Engineering, Computer Science Faculty, Universitas Mercu Buana, Indonesia
  • Rahmat Rian Hidayat Information and Communication Management, Sekolah Tinggi Multi Media MMTC Yogyakarta, Ministry of Communication and Information Technology, Indonesia
Keywords: jaro winkler, natural disasters, news, text filtering

Abstract

At the end of 2023, several natural disasters were felt, especially in the capital city, namely floods, and the earthquake did occur outside DKI Jakarta but the earthquake was felt. From this incident, it will be made to monitor and optimize the location of earthquakes and floods that occur based on the web. According to the government website, the earthquake also occurred, but there was no flooding. Based on the occurrence of several natural disasters, it is hoped that this research can provide information related to the location of floods, earthquakes, forest fires, and landslides in the region, especially in Indonesia. With the news website source, it is the source of data that will be processed. Furthermore, the percentage level of accuracy obtained by combining from text filtering and Jaro Winkler algorithm.

Downloads

Download data is not yet available.

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 Sistem 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,” International Journal of Computer Trends and Technology, vol. 67, 2019, [Online]. Available: http://www.ijcttjournal.org

R. Kamatchia, J. Iyer, and S. Singh, “Software Engineering:Web Development Life cycle,” International Journal of Engineering Research & Technology (IJERT), 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,” International Journal of Electrical and Computer Engineering, 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.

Saruni Dwiasnati and Yudo Devianto, “Optimasi Prediksi Bencana Banjir menggunakan Algoritma SVM untuk penentuan Daerah Rawan Bencana Banjir”.

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,” Information (Switzerland), vol. 10, no. 8, 2019, doi: 10.3390/info10080246.

T. Efriyanto and M. Hayaty, “Jaro winkler algorithm for measuring similarity online news,” Jurnal Teknik Informatika (JUTIF), 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,” Jurnal Online Informatika, 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,” Jurnal Ilmiah 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,” Jurnal ULTIMA Computing, 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,” International Journal of Scientific and Research Publications (IJSRP), vol. 8, no. 3, pp. 99–107, Mar. 2018, doi: 10.29322/ijsrp.8.3.2018.p7517.

N. Alinda Rahmi and R. Wulan Dari, “IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING (NLP) IN CONSUMER SENTIMENT ANALYSIS OF PRODUCT COMMENTS ON THE MARKETPLACE,” Jurnal Teknik Informatika (JUTIF), vol. 5, no. 3, pp. 693–701, 2024, doi: 10.52436/1.jutif.2024.5.3.1666.

W. Trisnawati and A. Wibowo, “SENTIMENT ANALYSIS OF ICT SERVICE USER USING NAIVE BAYES CLASSIFIER AND SVM METHODS WITH TF-IDF TEXT WEIGHTING,” Jurnal Teknik Informatika (JUTIF), vol. 5, no. 3, pp. 709–719, 2024, doi: 10.52436/1.jutif.2024.5.3.1784.

Published
2024-09-03
How to Cite
[1]
D. Jatikusumo and R. R. Hidayat, “OPTIMIZING NATURAL DISASTER LOCATIONS USING TEXT FILTERING WITH WEB-BASED JARO WINKLER ALGORITHM”, J. Tek. Inform. (JUTIF), vol. 5, no. 4, pp. 753-757, Sep. 2024.