Editors
- Editor in Chief
- Andrew Nafalski
- Vice Editor in Chief
- Aji Prasetya Wibawa
Knowledge Engineering and Data Science (2597-4637), KEDS, brings together researchers, industry practitioners, and potential users, to promote collaborations, exchange ideas and practices, discuss new opportunities, and investigate analytics frameworks on data-driven and knowledge base systems. KEDS is published by depatment of Electrical Engineering and Informatics, Unversitas Negeri Malang.
The journal welcomes experimental and theoretical findings on data science and knowledge engineering along with their applications to real-life situations. Comprehensive surveys and book reviews are also welcome. KEDS publishes two series peryear of scientific articles in every 6 months (July, December). Before submission, you have to make sure that your paper is prepared using the journal paper template: 2017_KEDS_Template.DOC.
This journal has been accredited Rank 2 (peringkat 2) as a scientific journal under the decree of the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia (valid until Vol. 10, No 2, 2027)
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Current Issue: Volume 7, Number 2 (2024)
Articles
Debtor Eligibility Prediction Using Deep Learning with
Chatbot-Based Testing
Reski Noviania, Enny Itje Sela, Luther Alexander Latumakulita, and Steven R. Sentinuwo
Manifold Learning and Undersampling Approaches for
Imbalanced Class Sentiment Classification
L.M. Risman Dwi Jumansyah, Agus Mohamad Soleh, and Utami Dyah Syafitri
Constructing Qur’an Recitation Classification
using Alexnet Algorithm
Harits Ar Rosyid, Dzulkifli Abdullah, and Mohammed S. Alqahtani
Deep Learning Approach for Dental Anomalies X-ray Imaging
using YOLOv8
Amelia Ritahani Ismail and Md Salim Sadman Taseen
Optimal Strategy for Handling Unbalanced Medical Datasets:
Performance Evaluation of K-NN Algorithm Using Sampling
Techniques
Yulita Salim, Aulia Putri Utami, Abdul Rachman Manga, Huzain Azis, and Fadhila Tangguh Admojo
A Hierarchical Density-Based Spatial Clustering of
Applications with Noise (HDBSCAN) Approach for Identifying
Potential Villages in Buleleng Regency
Dina Nur Amalina and Achmad Fauzan
Classification of Anxiety Levels Entering the World of Work in
Final Year Students Using the Neighbor Weighted K-Nearest
Neighbor Method
Awang Hendrianto Pratomo, Muhammad Fahmi Adam, and Dessyanto Boedi Prasetyo
Comparative Analysis of BPNN and LVQ for Sundanese
Character Recognition
Haviluddin Haviluddin, Herman Santoso Pakpahan, Dinda Izmya Nurpadillah, Hario Jati Setyadi, Medi Taruk, and Rayner Alfred