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All Journal Jurnal Informatika International Journal of Advances in Intelligent Informatics Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan
Felix Andika Dwiyanto
Universitas Negeri Malang
Computer Science & IT Education

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Journal : Jurnal Informatika

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Stemming javanese affix words using nazief and adriani modifications Aji Prasetya Wibawa; Felix Andika Dwiyanto; Ilham Ari Elbaith Zaeni; Rizal Kholif Nurrohman; AN Afandi
Jurnal Informatika Vol 14, No 1 (2020): January 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jifo.v14i1.a17106

Abstract

Stemming is the process of finding a basic word with several stages of affix removal. The main reason for stemming is to check spelling and machine translation and to support the effectiveness of the retrieval process. This study uses the Nazief and Adriani algorithm for stemming Javanese-influenced words. The first step taken is data collection and making a basic word dictionary. Then do the stemming process. Before stemming, modifications are made to the rules. The rules of the Nazief and Adriani algorithm, which are based on the morphology rules of the Indonesian language, are modified to suit the morphological rules of the Javanese language. Of the 366 words that were tested, it produced 351 correct basic words and 15 basic words that experienced errors. The results show that this algorithm can be used for stemming Javanese with an accuracy value of 95.9%.
Co-Authors A.N. Afandi Agung Bella Putra Utama Ahmad Dardiri Aji Prasetya Wibawa Nathanael Sitanggang Putri Lynna A. Luthan Rizal Kholif Nurrohman Satrio Dwi Sanjaya Zaeni, Ilham Ari Elbaith