Stemming Bahasa Jawa Menggunakan Damerau Levenshtein Distance (Dld)

Abstract

Stemming is one of the essential stages of text mining. This process removes prefixes and suffixes to produce root words in a text. This study uses a string matching algorithm, namely Damerau Levenshtein Distance (DLD), to find the basic word forms of Javanese. Test data of 300 words that have a prefix, insertion, suffix, a combination of prefix and suffix, and word repetition. The results of this study indicate that the Damerau Levenshtein Distance (DLD) algorithm can be used for Stemming Javanese text with an accuracy value of 49.6%.

Cognition-Based Document Matching Within the Chatbot Modeling Framework

“…The results of the document-stemming process will become a dataset that will be calculated using TF-IDF [42], [43]. TF-IDF is used to analyze how important a word is in a document.…”