Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi is an open access and peer-reviewed journal published by Informatics Engineering Department – Universitas Islam Negeri Sultan Syarif Kasim Riau with Registration Number: Print ISSN 2460-738X | Online ISSN 2599-3321. This journal is published 2 (two) times a year (June and December) containing the results of research on Computer Science and Information Technology.
This journal encompasses topics Artificial Intelligence, Natural Language Processing, Data Mining, Machine Learning, Expert Systems, Deep Learning, Human-Computer Interaction, Information System, Decision Support System, Geographical Information System, IT Risk Management, Information Retrieval, Network and Security.
English Manuscript Template
Starting in June 2022, each manuscript should use the New English Manuscript Template.
Important notice about plagiarism check:
The maximum limit for article similarity is 25%, and the submission will be automatically rejected when the result of plagiarism check reach 25%.
Important notice about peer-review process:
Reviewers evaluate submitted papers for relevance, contribution, abstract organizing, problem statement, method, result and conclusion. The Editor shall inform you of the results of the review as soon as possible, hopefully in 8 weeks. Please notice that because of the great number of submissions that CoreIT has received during the last few months, the duration of the review process can be up to 10 weeks.
Announcements
English Manuscript Template |
|
Starting in June 2022, each manuscript should use the New English Manuscript Template. | |
Posted: 2022-11-17 | More... |
More Announcements... |
Vol 10, No 2 (2024): December 2024
Table of Contents
Articles
Performance Comparasion of Adaboost and PSO Algorithms for Cervical Cancer Classification Using KNN Algorithm
DOI : 10.24014/coreit.v10i2.31711
| Abstract views : 255 times
Romdan Muhamad Ubaidilah, Sutedi Sutedi
|
1-10
|
Review of Original Differential Evolution Algorithm: Research Trends, Original Setting Parameters
DOI : 10.24014/coreit.v10i2.29903
| Abstract views : 20 times
Siti Ramadhani, Haldi Budiman, ShirLi Wang, Farid Morsidi, Theam FooNg
|
11-24
|