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Wachid Daga Suryono
Universitas Muhammadiyah Surakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other

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Analisis Perbandingan Algoritma Nazief Adriani dan Levenshtein Distance untuk mengukur Tingkat Similaritas Berita Menggunakan Rabin Krap: Studi Kasus Berita Berbahasa Jawa Danang Kastowo; Andy Saputra; Wachid Daga Suryono; Erna Setyowati
JNANALOKA Vol. 03 No. 01 Maret Tahun 2022
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2022.v3-no1-1-10

Abstract

For people in Indonesia, the regional language is the everyday language used to communicate. One of them is the Java language. In natural language-based research, regional languages are considered difficult languages to develop, given the availability of a limited number of datasets. This study analyzes 2 word stemming methods, namely the Nazief-Adriani method and the Levenshtein Distance method to carry out the Javanese word stemming process. This study wanted to find out the appropriate method with the best accuracy for stemming Javanese words. In addition, this study also considers word weighting to produce better article similarity accuracy. The nazief adriani method produces an average similarity value of 6.8% with an average execution time of 0.0443 second.
Co-Authors Andy Saputra Danang Kastowo Erna Setyowati