Abstract-- On the development of Indonesian WordNet, the
synonym set is an important part that represents the similarity of
meaning between words. Synonym sets are built using the
Indonesian Thesaurus as the lexical database. After going through
the extraction process from the Indonesian Thesaurus, we will get
a synonym set that has a similarity or word sense between words.
In general, the difference between WordNet and the dictionary is
their main focus, in which the dictionary usually focuses on just
one word, while in WordNet the focus is on the meaning of words
and connectedness with other words. Explained in previous
research, the constructions of synonym sets were done using
several approaches, which is clustering to produce synonym sets
and WSD (Word Sense Disambiguation). In this article, the
approach used to produce synonym sets is the ROCK (Robust
Clustering Using Links) algorithm, which uses similarity and link
values. The resulting synonym sets will then be used for lexical
database development. Therefore, the main focus of this article is
to produce synonym sets through the clustering process and
calculate their accuracy, using the F-Measure method involving
the gold standard for performance calculation and evaluation.