MAKING STEMMING SYNONYM INDONESIAN USING ALGORITHM NAZIEF AND ADRIANI.

Abstract

This writing, discusses about the making of Indonesian synonym dictionary application web-based approach using stemming techniques created by Bobby Nazief and Mirna Adriani. Data taken for this study is a collection of verbs and nouns associated with the technology. The author took 100 basic words that will be paired with a type of particle. This type consists of affixes: prefixes, inserts, suffix, and prefix-suffix. Then calculate what level of success of a program created by the author in turning words into shapes affixes base (Root word). The success rate for applications of this dictionary to affix the prefix is 72%, to affix the suffix is 91%, and to affix the prefix-suffix is 79%.