Recommender System Feature in Sundanese-Indonesian Dictionary Application Ade Sutedi
Departement of Informatic Engineering, Sekolah Tinggi Teknologi Garut
Abstract
The dictionary is one application that is widely used by users to find out the meaning of vocabulary. The existence of a dictionary is very necessary considering the mastery of vocabulary among users, especially local languages such as Sundanese language is very lacking. Sometimes, users need to look at the alphabetical list of words to find the meaning of the relevant vocabulary. This is very ineffective, considering the search process requires quite a long time. Especially if Sundanese language users only know a little vocabulary, it wont be easy when looking for the meaning of the vocabulary. In order to solve the problem, this research developed a recommendation system that can recommend Sundanese vocabulary to users when searching in a dictionary. The recommendation process is taken from the likelihood value that can be taken from the vocabulary attributes that are interconnected with the word search process carried out by the previous user using the Bayes probability method by utilizing. The recommendation system is implemented in a web-based dictionary application developed using the object-oriented method with Unified Modeling Language (UML). The data used in this study are Sundanese vocabulary and Indonesian vocabulary collected by manual input into a database taken from the Sundanese-Indonesian dictionary.
