The Search of Non-Standard Words in the Documents Written in Indonesian Language with Nazief and Adriani Algorithm

SOYUSIAWATY, DEWI and Carono, Oko (2020) 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). ISSN 0975 – 8887

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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%.

Item Type:	Artikel Umum
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisi / Prodi:	Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Informatics Engineering (S1-Teknik Informatika)
Depositing User:	Mrs Dewi Soyusiawaty
Date Deposited:	17 Jun 2022 02:10
Last Modified:	17 Jun 2022 02:10
URI:	http://eprints.uad.ac.id/id/eprint/35379

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