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The Search of Non-Standard Words in the Documents Written in Indonesian Language with Nazief and Adriani Algorithm
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 39 |
| Year of Publication: 2020 |
| Authors: Dewi Soyusiawaty, Oko Carono |
10.5120/ijca2020920952
|
Dewi Soyusiawaty, Oko Carono . The Search of Non-Standard Words in the Documents Written in Indonesian Language with Nazief and Adriani Algorithm. International Journal of Computer Applications. 175, 39 ( Dec 2020), 26-32. DOI=10.5120/ijca2020920952
Abstract
Indonesian language has a variety of affixed words used in a document. The words or sentences in a document must be written based on the Great Dictionary of Indonesian Language (KBBI). Errors often occur when writing a word in the document such as errors in writing the standard words. To find out the standard and non-standard forms of an affixed word needs the root. One of methods to find the root of an affixed word is by using Nazief & Adriani Stemming Algorithm. Searching the root words in a document by checking them one by one will take a long time and is not efficient. Therefore, an application that can search the root words is required to make the quick and more efficient search. This research is an implementation of the search of the root and standard words in the documents written in Indonesian language to ease in determining the standard and non-standard words. The method used is by checking the words in the documents then implementing Nazief & Adriani algorithm to find out the root words then checking in KBBI to determine the non-standard words and implementing spell checker method to recommend the standard ones. The testing used in this research is the accuracy testing by using 50 documents written in Indonesian language with 28,023 numbers of words and the result of the accuracy testing is 96.74%.
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