IT Journal Research and Development

Current Issue

Vol. 10 No. 2 (2025)

Published: 2025-09-19

Articles

Comparative Analysis of SVM and XGBoost Classifiers with HOG Features for Concrete Crack Detection

Ridha Adjie Eryadi

1 -15

DOI : https://doi.org/10.25299/itjrd.2025.20560
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A Modified DBGE Method for Predicting National Science Olympiad Winners

Nasy`an Taufiq Al Ghifari Luthfi Angger Ramdhani Slamet Riyadi

78 - 92

DOI : https://doi.org/10.25299/itjrd.2025.21431
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Comparative Evaluation of Machine Learning Models For Municipal Solid Waste Prediction With Feature Extension

Mwila Milandile Muwanei Sinyinda

16 - 27

DOI : https://doi.org/10.25299/itjrd.2025.22391
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Empirical Analysis of Deep Learning Models for Real-time Face Detection on Resource-constrained Devices

Bassey Isong Sedzani Ndouvhada Otshepeng Kgote

28 - 45

DOI : https://doi.org/10.25299/itjrd.2025.22402
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Herbal Leaf Classification Using Convolutional Neural Network (CNN) Method With VGG16 Architecture

Sisi Auliani Dolly Indra Fitriyani Umar

57 - 65

DOI : https://doi.org/10.25299/itjrd.2025.24574
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Enhancing Early Heart Disease Detection Through Comparative Analysis of Random Forest, Decision Tree, and K-NN Models

Kelvin Leonardi Kohsasih Daniel Smith Sunario Alvin Alvin Fedro Laurendio

66 - 77

DOI : https://doi.org/10.25299/itjrd.2025.24703
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Job Classification Based on Skills and Qualifications Using Natural Language Processing and Ensemble Learning Methods

Hafiza Oktasia Nasution Dian Ramadhani Mida Aprilina Tarigan Prima Andreas Dewita Suryati Ningsih Arwinence Pramadewi

109 - 118

DOI : https://doi.org/10.25299/itjrd.2025.25550
- PDF

Review Article

A Systematic Review on Machine Translation for Low Resource Nigerian Languages

Tijani M. Abdulmusawir A. F. Donfack Kana Amina H. Abubakar

46 - 55

DOI : https://doi.org/10.25299/itjrd.2025.21277
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Performance Metrics of Deep Learning Models in EHR Analysis: A Systematic Review

Olumhense Adoghe Braimoh Ikharo Henry Amhenrior

93 - 108

DOI : https://doi.org/10.25299/itjrd.2025.24176
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IT Journal Research and Development (ITJRD), with registered number ISSN 2528-4053 (Print) and ISSN 2528-4061 (Online), is a peer-reviewed journal published twice a year (March and August) by the Department of Informatics, Faculty of Engineering, Universitas Islam Riau.

IT Journal Research and Development has been publishing twice a year since 2016. We strive to publish a good quality research papers by using Open Journal System (OJS) to manage the submissions and the reviewing process, accepting papers written in English (Volume 6 Number 1) with a minimum of 20 references from prestigious journal, at least 80% of references are journals paper and 80% of them are published in the last 5 years, suggesting authors to use a proper reference manager such as Mendeley and EndNote, and providing two templates in Ms Word and Latex format. Therefore, we invite academicians, researchers, and professionals to submit your manuscript to us.

IT Journal Research and Development is open to submission from scholars and experts in the wide areas of Artificial Intelligence, Internet of Things, Service Computing, and Social Informatics.

All research articles published in IT Journal Research and Development are subject to rigorous Double-Blind Peer Review. IT Journal Research and Development is indexed in Directory of Open Access Journals (DOAJ) and Science and Technology Index (SINTA S3) has been ACCREDITED by Ministry of Research, Technology, and Higher Education of the Republic of Indonesia, No.14/E/KPT/2019, Mei 10, 2019 as 3rd Rank, SINTA S3.