CommIT (Communication and Information Technology) Journal

About the Journal

P-ISSN: 1979-2484
E-ISSN: 2460-7010

CommIT is a semiannual journal, published in May and October. Journal of Communication and Information Technology focuses on various issues spanning in Computer Engineering, Computer Science, and Information System. CommIT has been accredited by the Ministry of Research, Technology and Higher Education under the decree number 105/E/KPT/2022 and has been indexed and abstracted by Scopus, ASEAN Citation Index, Directory of Open Access Journals (DOAJ), Science and Technology Index 1 (SINTA 1), Indonesia OneSearch, Academic Research Index (Research BIB), Garda Rujukan Digital (Garuda), Bielefeld Academic Search Engine (BASE), World Catalogue (WorldCat), Google Scholar, and Indonesian Research Repository (Neliti).

Announcements

CommIT Publication Process Update

2024-02-01

Read more about CommIT Publication Process Update

Call for Reviewer

2022-03-10

New Article Processing Charge of CommIT Journal

2022-01-18

Our Editor in Chief Promotion to Full Professor

2021-12-28

Current Issue

Vol. 18 No. 2 (2024): CommIT Journal (in press)

View Vol. 18 No. 2 (2024): CommIT Journal (in press)

Published: 2024-08-21

Articles

The Comparison of Deep Learning Models for Indonesian Political Hoax News Detection

Oktavia Citra Resmi Rachmawati; Zakha Maisat Eka Darmawan

123-135
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Abstract 165 . Downloaded 153
Evaluating Airline Passengers’ Satisfaction During the COVID-19 Pandemic: A Case Study of AirAsia Services Through Sentiment Analysis and Topic Modelling

Lee Jie Yu, Nor Hasliza Md Saad, Zhu Kun, Ghada ElSayad

137-150
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Abstract 81 . Downloaded 79
Determinant Factors of Logistics Firm Performance Mediated by Optilog Adoption Using a Mixed Method with an Explanatory Sequential Analysis

Melianie, Rindang Widuri, Indra Gamayanto, Arta Moro Sundjaja

151-166
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Abstract 55 . Downloaded 59
Deciphering Digital Discourse: Detecting Cyberbullying Patterns in Filipino Tweets Using Machine Learning

January F. Naga, Rabby Q. Lavilles

167-181
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Abstract 19 . Downloaded 20
Indonesian-English Textual Similarity Detection Using Universal Sentence Encoder (USE) and Facebook AI Similarity Search (FAISS)

Lucia D. Krisnawati, Aditya W. Mahastama, Su-Cheng Haw, Kok-Why Ng, Palanichamy Naveen

183-195
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Abstract 22 . Downloaded 12

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