journal description

ComEngApp Journal

Editor-in-Chief: Siti Nurmaini

>>> Editorial Board

Computer Engineering and Applications Journal (ComEngApp) is an international forum for scientists and engineers involved in all aspects of computer engineering and technology to publish high quality and refereed papers. This Journal is an open access journal that provides online publication (three times a year) of articles in all areas of the subject in computer engineering and application. ComEngApp Journal wishes to provide good chances for academic and industry professionals to discuss recent progress in various areas of computer science and computer engineering.

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The ComEngApp Journal is published in February, June, and October

Announcements

ComengApp Journal: Celebrating 322 Citations on Scopus in 2024

Understanding the impact of citedness on scholarly journals is crucial in evaluating their significance within academic discourse. Citedness, the frequency with which articles within a journal are referenced by other scholars, serves as a metric for measuring the influence and relevance of research published in that journal. This announcement aims to remark the ComengApp Journal milestone in 2024.

Accepted List October 2024

The accepted manuscripts for Vol 13 Issue 3, October 2024:

No   Title Authors 
1

Cluster Analysis of Obesity Risk Levels Using K-Means and Dbscan Methods

Dite Geovani, Zainal Umari, Suci Ramadini
2

The Turbofan Engine Remaining Useful Life Prediction Using 1-Dimentional Convolutional Neural Network

Ahmad Fauzan, AF, Lestari Handayani, Fitri Insani, Jasril Jasril, Suwanto Sanjaya

3

Imbalanced Data NearMiss for Comparison of SVM and Naive Bayes Algorithms

Wawan Gunawan, Yudo Devianto, Anggi Puspita Sari

4

The Eye and Nose Identification Chip Controller-Based on Robot Vision Using Weightless Neural Network Method

Ahmad Zarkasi, Huda Ubaya, Kemahyanto Exaudi, Megi Fitriyanto
5

MRI-Based Brain Tumor Instance Segmentation Using Mask R-CNN

Muhammad Nasrudin

6

Fake News Detection Using Optimized Convolutional Neural Network and Bidirectional Long Short-Term Memory

Winda Kurnia Sari, Iman Saladin B. Azhar, Zaqqi Yamani, Yesinta Florensia

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Provided By

Department of Computer Engineering, Faculty of Computer Science, Universitas Sriwijaya, Indonesia
e-mail: comengappjournal@unsri.ac.id