COMPARISON OF PORTERS STEMMING ALGORITHM AND NAZIEF & ADRIANI'S STEMMING ALGORITHM IN DETERMINING INDONESIAN LANGUAGE LEARNING MODULES

Authors

  • Siti Tuhpatussania Universitas AMIKOM Yogyakarta
  • Ema Utami Universitas AMIKOM Yogyakarta
  • Anggit Dwi Hartanto Universitas AMIKOM Yogyakarta

DOI:

https://doi.org/10.33480/pilar.v18i2.3940

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. D. (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

Issue

Vol. 18 No. 2 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Period for September 2022

Section

Articles

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