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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Semantik Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Pemberdayaan Masyarakat Madani (JPMM) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Idealis : Indonesia Journal Information System Jurnal Kajian Ilmiah Indonesian Journal of Applied Research (IJAR) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Indonesian Community Journal Telematika MKOM Jurnal Informatika: Jurnal Pengembangan IT Journal of Computer Science Contributions (Jucosco)
Indra Indra
Program Studi Teknik Informatika Fakultas Teknologi Informasi Universitas Budi Luhur
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Public Health Social Sciences Other

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Journal : IJCCS (Indonesian Journal of Computing and Cybernetics Systems)

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Rule-Based Natural Language Processing in Volcanic Ash Data Searching System Priandana, Rangga Kusuma; Indra, Indra
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 1 (2024): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.88081

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.
Co-Authors Agus Umar Hamdani Anggi Triyani Aryasanti, Agnes Bagaskoro, Muhammad Akbar Besar Agung Martono Darmawan, Rizqi Djati Kusdiarto Erno Kurniawan D Fatayati, Fitri Nur Fauzan, Rubi Ahmad Grace Gata, Grace Indah Dewi Murti Suyoto Indra Indra Juan Kalyzta Kurnia Setiawan Mohd Amiruddin Saddam Mufti Mufti MUFTI MUFTI, MUFTI Muhammad Ardi Willdan Nanang Wahyu Hidayat Nur Aliza Painem, Painem Priandana, Rangga Kusuma Puspita Rani Riskiana Wulan Rosul, Mekar Bunga Allamanda Sabasteo, Jeremy Noel Saputra, Rilo Anggoro saputro, heru Selfiana Halfiani Sismadi, Wawan Sri Hartati SRI RAHAYU Surahmat, Asep Surya Wedi Syafrullah, Muhammad Titing Widyastuti Wiharto, Yudi