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Rule-Based Natural Language Processing in Volcanic Ash Data Searching System
https://doi.org/10.22146/ijccs.88081 Rangga Kusuma Priandana(1*), Indra Indra(2)
(1) Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Budi Luhur
(2) Program Studi Teknik Informatika, Fakultas Teknologi Informasi, Universitas Budi Luhur
(*) Corresponding Author
Abstract
Indonesia is a country with a unique geography. The confluence of three tectonic plates located in the country results in frequent natural disasters, from earthquakes to volcanic activity. BMKG is a monitoring agency tasked with providing information related to these natural disasters. However, one type of natural disaster data, the SIGMET data (Significant Meteorological Information) used to provide information on volcanic ash, has a complicated format that is difficult for ordinary people to understand. Therefore, this research seeks to make finding information related to volcanic ash and volcanic eruptions in Indonesia easier in terms of access and comprehension. In this research, an application design will be carried out that can search SIGMET data by implementing natural language processing with a production rule base. The research results have an accuracy rate of 84% using 25 test sample sentences that combine sentences and words contained in the important words section.
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N. A. Pambudi, “Geothermal power generation in Indonesia, a country within the ring of fire: Current status, future development and policy,” Renewable and Sustainable Energy Reviews, vol. 81. Elsevier Ltd, pp. 2893–2901, Jan. 01, 2018. doi: 10.1016/j.rser.2017.06.096
M. R. Pahleviannur, “Edukasi Sadar Bencana Melalui Sosialisasi Kebencanaan Sebagai Upaya Peningkatan Pengetahuan Siswa Terhadap Mitigasi Bencana,” 2019.
G. Indra Bhaskara, “GUNUNG BERAPI DAN PARIWISATA: BERMAIN DENGAN API,” 2017.
Federal Aviation Administration, “Pilot’s Handbook of Aeronautical Knowledge,” 2016.
International Civil Aviation Organization, “ASIA/PACIFIC REGIONAL SIGMET GUIDE - SEVENTH EDITION,” 2019.
I. Faturohman and G. Hermawan, “Perancangan Translator Bahasa Alami Ke Dalam Format SQL (Structured Query Language) Dengan Fokus Pada Kasus Retrival Informasi,” 2018.
F. Alpino, D. Soyusiawaty, A. Dahlan Jl Ringroad Selatan, K. Banguntapan, and D. Istimewa Yogyakarta, “Pencarian Informasi Wisata Candi di Yogyakarta dengan Bahasa Alami Berbasis Aturan Produksi,” 2020. Available: http://ejournal.unib.ac.id/index.php/rekursif/134
D. Soyusiawaty, A. Hendri Soleliza Jones, A. Dahlan Yogyakarta Kampus, and U. Jl Soepomo Janturan, “Penerapan Antar Muka Bahasa Alami Dalam Pencarian Informasi Skripsi Pada Suatu Program Studi,” Univ. AMIKOM Yogyakarta, 2018.
B. Rath, “Converting Natural Language Query to SQL Query,” 2020. Available: http://www.ijeast.com
H. Heriyanto and S. Hartati, “Natural Language Processing (Nlp) Untuk Mengetahui Hukum Bacaan Al-Qur’an,” Telematika, vol. 11, no. 1, 2015, doi: 10.31315/telematika.v11i1.515
S. Raharjo, R. Wardoyo, and A. E. Putra, “Rule based sentence segmentation of Indonesian language,” J. Eng. Appl. Sci., vol. 13, no. 21, pp. 8986–8992, 2018, doi: 10.3923/jeasci.2018.8986.8992
Indra and S. Hartati, “Aplikasi Pengolah Bahasa Alami untuk Info Gempa Bumi Terkini dengan Sumber Data pada Twitter @InfoBMKG,” 2014. Available: http://data.bmkg.go.id.
A. F. Octaviansyah, D. Darwis, and A. Surahman, “Sistem Pencarian Lokasi Bengkel Mobil Resmi Menggunakan Teknik Pengolahan Suara Dan Pemrosesan Bahasa Alami,” 2020. Available: http://maps.google.com.
DOI: https://doi.org/10.22146/ijccs.88081
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