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All Journal Jurnal Media Infotama JE (Journal of Empowerment) Prima Abdika: Jurnal Pengabdian Masyarakat Jurnal INFOTEL Jurnal Penelitian Teknologi Informasi dan Sains GEMBIRA (Pengabdian Kepada Masyarakat) Jurnal Al-Maun Abdi Reksa
Sastya Hendri Wibowo
Universitas Muhammadiyah Bengkulu
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Jurnal INFOTEL

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Time complexity in rejang language stemming Sastya Hendri Wibowo; Rozali Toyib; Muntahanah Muntahanah; Yulia Darnita
JURNAL INFOTEL Vol 14 No 3 (2022): August 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i3.764

Abstract

Stemming is the process of separating the root word from an affixed word in a sentence by separating the base word and affixes which can consist of prefixes (prefixes), insertions (infixes), and suffixes (suffixes). Between one language and another, there are differences in the algorithm, especially the stemming process, in morphology. The time complexity of the Rejang algorithm is determined based on the affix group. To find out the time complexity of the stemming algorithm in the Rejang language using the method of making a digital word dictionary of the Rejang language, studying and analyzing the morphology of the Rejang language, making the Rejang language stemming algorithm based on the results of the Rejang language morphology analysis, analyzing the algorithm's performance and calculating the time complexity of the stemming results. The result of this research is to produce an efficient and effective Rejang Language stemming algorithm, where efficiency is indicated by the algorithm's time complexity of O(log n), and the effectiveness is shown from the results of accuracy of 99% against the test of 9000 affixed words. This accuracy value indicates that the over stemming and under stemming processes are 1%. Test results on 15 text documents with an average stemming failure rate of 1%.
Co-Authors agung kharisma hidayah Darnita, Yulia Diana Diana Egia Apriansyah Harry Witriyono Harry Witriyono Witriyono Harry Witryono Jericko Vivaldo Joshi Muhammad Harits Abdillah Muhammad Imanullah Muntahanah Muntahanah Muntahanah Muntahanah Muntahanah Muntahanah Muntahanah Onsardi Rojali Toyib Rozali Toyib Suwandi Ramadhan Toyib, Rozali Wahyu Nugroho Wilio Papian Yulia Darmi Yulia Darmi Yulia Darnita Yulia Darnita