journal description

ComEngApp Journal

Editor-in-Chief: Siti Nurmaini

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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


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 February 2024

The accepted manuscripts for Vol 13 Nomor 1, February 2024:

No   Title Authors 
1 Optimization of Distributed RSA Encryption and Decription Processing Using Process Scheduling Method In Single Board Computer Cluster Architecture (SBC)  Arief S., Firdaus V., Prasetyo A
2 Comparison of Naive Bayes and Support Vector Machine (SVM) Algorithms Regarding The Popularity of Presidential Candidates In The Upcoming 2024 Presidential Election Nurrizky F., Dwiasnati S.
3 Point of Interest (POI) Recommendation System using Implicit Feedback Based on K-Means+ Clustering and User-Based Collaborative Filtering Setiowati S., Adji T., Ardiyanto I.
4 Analysis and Implementation of Blowfish and LSB Algorithm on RGB Images using SHA-512 Ashari I., Praseptiawan M.
5 A Hybrid of Fuzzy C-Means for the segmentation in CT scan and X-ray images for screening the COVID-19 patients  WangNo N.
6 Video Annomaly Classification Using Convolutional Neural Network Rachmatullah M., N., Sutarno S., Isnanto R.

latest articles

Video Annomaly Classification Using Convolutional Neural Network

Rachmatullah M., N., Sutarno S., Isnanto R.

Provided By

Department of Computer Engineering, Faculty of Computer Science, Universitas Sriwijaya, Indonesia