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Lembaga Penelitian Pengabdian Masyarakat Universitas Nusa Mandiri
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COMPARISON OF PORTERS STEMMING ALGORITHM AND NAZIEF & ADRIANI'S STEMMING ALGORITHM IN DETERMINING INDONESIAN LANGUAGE LEARNING MODULES
Keywords:
indonesian stemming, porter algorithm, nazief & adriani algorithm
Abstract
One of the methods used to improve the performance of text summarization to obtain complete information in a learning module is by transforming the words in a module into basic words or, in other words, through a steaming process. The steaming process in Indonesian language texts is more complicated/complex because there are word affixes that must be removed to get the root word (root word) of a word, so this research will compare the two stemming algorithms of Porter and stemming Nazief & Adriani in the learning module at Mataram University of Technology. The test results of the Nazief & Adriani stemming algorithm on an average process duration of 51.8 seconds with an average accuracy of 74.175%. In Porter's Algorithm, the average processing time is 16.875 seconds, with an accuracy of 73.225%.
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Published
2022-09-13
How to Cite
Tuhpatussania, S., Utami, E., & Hartanto, A. (2022). COMPARISON OF PORTERS STEMMING ALGORITHM AND NAZIEF & ADRIANI’S STEMMING ALGORITHM IN DETERMINING INDONESIAN LANGUAGE LEARNING MODULES. Jurnal Pilar Nusa Mandiri, 18(2), 203-210. https://doi.org/10.33480/pilar.v18i2.3940
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