Authors : Muhammad Wahyu Ade Saputra; Ema Utami; Ainul Yaqin

Volume/Issue : Volume 9 - 2024, Issue 3 - March

Google Scholar : https://tinyurl.com/5n7n322z

Scribd : https://tinyurl.com/45mx3yvm

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAR437

Abstract : This study investigates the Nazief and Adriani Algorithm and the Enhanced Confix Stripping Stemmer (ECS) in the context of Makassar language. Following a comprehensive investigation, the Nazief & Adriani Algorithm demonstrates proficiency in capturing the complexities of Makassar language by applying numerous morphological criteria. Meanwhile, the Enhanced Confix Stripping Stemmer (ECS) exhibits versatility in dealing with language obstacles, identifying opportunities for further improvement. Using Sastrawi, Confix Stripping, Enhanced Confix Stripping, and Nazief-Adriani, the study emphasizes the need of using linguistically suitable techniques for exact analysis. This work sheds light on improving text processing technology in Makassar language, opening the path for algorithms customized to the language's unique qualities.

Keywords : Stemming; Makassar; Algorithm; Language; Linguistics.