Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Vol 12 No 2 (2021): Vol. 12, No. 02 August 2021

KEBI 1.0: Indonesian Spelling Error Detection System for Scientific Papers using Dictionary Lookup and Peter Norvig Spelling Corrector

Tresna Maulana Fahrudin (Universitas Pembangunan Nasional "Veteran" Jawa Timur)
Ilmatus Sa’diyah (Universitas Pembangunan Nasional "Veteran" Jawa Timur)
Latipah Latipah (Unknown)
Ibnu Zahy’ Atha Illah (Universitas Pembangunan Nasional “Veteran” Jawa Timur)
Cagiva Chaedar Bey Lirna (Universitas Pembangunan Nasional “Veteran” Jawa Timur)
Burhan Syarif Acarya (Universitas Pembangunan Nasional “Veteran” Jawa Timur)



Article Info

Publish Date
03 Aug 2021

Abstract

Many Indonesian spelling errors occur in research papers published to the public, closely related to academics in all institutions such as research institutions, government, schools, and universities. The spelling errors usually writing punctuation, writing letters, writing words, writing words originating from foreign or regional languages (uptake words), using affixed words, and writing ineffective sentences. The mistakes made by the academics then become a cycle in the academic environment. They usually provide guidance for writing an undergraduate thesis, thesis, dissertations to students, or the other forms of documents and scientific papers. Therefore, the research proposed the application to facilitate all authors of scientific papers in producing quality scientific works based on the General Guidelines for Indonesian Spelling published by the Agency for Development and Language Development. The application is named KEBI 1.0 Checker (Indonesian Spelling Error 1.0 Checker), a web-based application with a built-in algorithm to detect and correct Indonesian Spelling in scientific papers. The experiment result shows that the application has given the best accuracy performance to correct the non-standard words, and typographical errors reached 100% and 55,52%, respectively. The application also has been detected 209 meaningless words. The application processing time is relatively low, the average time needed to correct non-standard words is 0.016 seconds, and typo words are 14.58 seconds. KEBI 1.0 Checker is helpful for the end-user in academics but needs to improve the vocabulary of the large corpus in various fields of science for correcting typo words.

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Journal Info

Abbrev

lontar

Publisher

Subject

Computer Science & IT

Description

Lontar Komputer [ISSN Print 2088-1541] [ISSN Online 2541-5832] is a journal that focuses on the theory, practice, and methodology of all aspects of technology in the field of computer science and engineering as well as productive and innovative ideas related to new technology and information ...