U-TAPIS: AUTOMATIC SPELLING FILTER AS AN EFFORT TO IMPROVE INDONESIAN LANGUAGE COMPETENCIES OF JOURNALISTIC STUDENTS

Mediyawati, Niknik and Young, Julio Cristian and Nusantara, Samiaji Bintang (2021) U-TAPIS: AUTOMATIC SPELLING FILTER AS AN EFFORT TO IMPROVE INDONESIAN LANGUAGE COMPETENCIES OF JOURNALISTIC STUDENTS. Jurnal Cakrawala Pendidikan, 40 (2). ISSN 2442-8620

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Abstract

The problem of Indonesian language errors among students is of particular observation. This problem becomes an important concern for students majoring in journalism because one day the graduates will become journalists. A language error filtering application has been developed that can be used quickly and accurately in journalists’ work. This application, which involves statistical analysis, computational language, and artificial intelligence, is named U-Tapis. This study was aimed at finding out the feasibility and effectiveness measures of the U-Tapis model by focusing on the language of students’ journalistic works such as opinions, news items, and news articles. The study involved 30 students majoring in Journalism, a private university in Jakarta, Indonesia. It was found that the students’ error rate decreased after the use of the model. It can be concluded that, in addition to eligibility which reaches 92.31%, the U-Tapis application can help effectively increase students’ proficiency in the use of the Indonesian language.

Item Type: Article
Keywords: Communication, Indonesian, journalism, language filter application.
Subjects: 000 Computer Science, Information and General Works > 070 News Media, Journalism and Publishing > 070 News, mass media, journalism, and publishing
300 Social Sciences > 300 Social sciences, sociology and anthropology > 302 Social interaction, Interpersonal interaction > 302.2 Communication
400 Language > 490 Other language > 495 Languages of East and Southeast Asia (Incl. Bahasa Indonesia)
600 Technology (Applied Sciences) > 650 Management and Public Relations > 652 Processes of Written Communication
Divisions: Faculty of Communication > Digital Journalism
Depositing User: Administrator UMN Library
Date Deposited: 20 Dec 2021 03:25
Last Modified: 19 Jan 2022 07:37
URI: https://kc.umn.ac.id/id/eprint/19758

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