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 June 2024
The accepted manuscripts for Vol 13 Nomor 2, June 2024:
No | Title | Authors |
1 |
Electrical Energy Monitoring and Analysis System At Home Using Iot-Based Prophet Algorithm |
Vipkas Al Hadid Firdaus, Meyti Eka Apriyani, Nurus Laily Aprilia |
2 |
An Improved Myocardial Infarction Detection using Convolutional Neural Network and Graph Neural Network Algorithm |
Abisoye O. A, Kaka F., & Abisoye B. O, Adepoju S.A, Bashir S.A |
3 | Application of Machine Learning in Clustering Maze Producing Regions in Indonesia | Eliyani Eliyani, Saruni Dwiasnati, Sutan Mohammad Arif, Reza Avrizal, Nona Fatimah |
4 |
Comparison of Naive Bayes and Support Vector Machine (SVM) Algorithms Regarding the Popularity of Presidential Candidates in the Upcoming 2024 Presidentian Election |
Fadli Nurrizky, Saruni Dwiasnati |
5 |
Image Classification of Traditional Indonesian Cakes Using Convolutional Neural Network (CNN) |
Azkiya Nur Azizah, Irwan Budiman, Fatma Indriani, M.Reza Faisal, Rudy Herteno |
6 |
Augmented Reality in STEM Using Personalized Learning to Promote Student’s Understanding |
Erlangga, Rizki Mukhlis, Yaya Wihardi, Sarifah Putri Raflesia |
7 |
ECG Signal Denoising Using 1D Convolutional Neural Network |
Ahmad Rifai, Muhammad Naufal Rachmatullah, Winda Kurnia Sari |
latest articles
Electrical Energy Monitoring and Analysis System at Home using IoT-based Prophet Algorithm
Firdaus V., Apriyani M., Aprilia N.
Application of Machine Learning in Clustering Maize Producing Regions in Indonesia
Eliyani E., Dwiasnati S., Arif S., Avrizal R., Fatimah N.
Image Classification of Traditional Indonesian Cakes Using Convolutional Neural Network (CNN)
Azizah A., Budiman I., Indriani F., Faisal M., Herteno R.
Augmented Reality in STEM Using Personalized Learning to Promote Students’ Understanding
Erlangga E., Mukhlis R., Wihardi Y., Raflesia S.
ECG Signal Denoising Using 1D Convolutional Neural Network
Rifai A., Rachmamtullah M., N., Sari W.
Provided By
e-mail: comengappjournal@unsri.ac.id