Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal IJORER : International Journal of Recent Educational Research Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Sulistiyono, Yunus
Unknown Affiliation
Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Code Switching and Code Mixing in TikTok Comment Columns and Its Implications for Indonesian Language Learning at High Schools Putri, Melani Regita; Sulistiyono, Yunus
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2023: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/iseth.3824

Abstract

The purpose of this research is to analyze the forms of code switching and code mixing in TikTok social media account comments, analyze the forms of slang in TikTok social media account comments, analyze the implications of code switching and code mixing for Indonesian language learning. This type of research is descriptive qualitative research. The data studied in this research consists of TikTok social media user comments that contain code switching, code mixing, and slang. The object of this research is TikTok social media comments. Meanwhile, the subjects of this research are code switching, code mixing, and slang. The data collection techniques used in this research are content analysis and documentation. The steps taken to collect data are as follows; 1). Read carefully the comments of tiktok social media users, 2) identify and record comment quotes, 3) classify the data that has been identified in groups of code switching, mixing, code and slang. In addition to taking notes, researchers also conduct documentation by screenshotting the data that has been found. The data analysis technique in this research uses descriptive qualitative. The results of data analysis are presented in the form of narrative descriptions and explanations regarding code switching, code mixing, and slang under study. In this study researchers used 20 data that had been analyzed, of these 20 data divided into 10 data were the use of code switching and code mixing and 10 data were the use of slang language in the TikTok social media comment column.
Ecolinguistic-Based Development of General Linguistics Materials Using Phonological and Lexical Variations of Angkola Batak Harahap, Eli Marlina; Markhamah, Markhamah; Sulistiyono, Yunus; Joko Prayitno, Harun; Sabardila, Atiqa
IJORER : International Journal of Recent Educational Research Vol. 7 No. 3 (2026): May
Publisher : Faculty of Teacher Training and Education Muhammadiyah University of Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46245/ijorer.vi.1207

Abstract

Objective: This study develops ecolinguistics-oriented General Linguistics teaching materials grounded in Angkola Batak phonological and lexical variation to support contextualized learning and local language preservation in Indonesian universities. Method: Using an R&D approach with the ADDIE model (analysis, design, development, implementation, evaluation), the product was validated and tested with five expert validators, two General Linguistics lecturers, and 60 Indonesian Language and Literature Education students at Universitas Muhammadiyah Tapanuli Selatan. Instruments included expert validation sheets, lecturer and student practicality questionnaires, and pre–post achievement tests. Data were analyzed descriptively and inferentially using the Content Validity Index (CVI), Cronbach’s Alpha, N-Gain, and a paired-sample t-test. Results: The teaching material showed very high validity (CVI = 0.91), strong reliability (α = 0.86), and high practicality (overall practicality = 91%). Effectiveness results indicated a significant improvement in learning outcomes, with mean scores increasing from 70.27 (pre-test) to 88.56 (post-test) and an N-Gain of 0.60 (moderate–high; p < 0.05). The material enhanced students’ analytical skills in phonology and lexicon while fostering ecolinguistic awareness of regional linguistic diversity. Novelty: The study offers a replicable framework for operationalizing applied ecolinguistics in linguistic pedagogy through local language data.
Co-Authors Atiqa Sabardila Eli Marlina Harahap Harun Joko Prayitno Markhamah Putri, Melani Regita