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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)


Time to First Decision
2 Weeks

Review Time
4 Weeks

Publication Time
2 Weeks

Current Issue: Volume 4, Number 1 (2025)

Articles

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Backpropagation Neural Network with Combination of Activation Functions for Inbound Traffic Prediction
Purnawansyah Purnawansyah, Haviluddin Haviluddin, Herdianti Darwis, Huzain Azis, and Yulita Salim

https://doi.org/10.17977/um018v4i12021p14-28

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Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study
Toukir Ahammed, Sumon Ahmed, and Mohammed Shafiul Alam Khan

https://doi.org/10.17977/um018v4i12021p29-37

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Indonesian Sentence Boundary Detection using Deep Learning Approaches
Joan Santoso, Esther Irawati Setiawan, Christian Nathaniel Purwanto, and Fachrul Kurniawan

https://doi.org/10.17977/um018v4i12021p38-48

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Face Images Classification using VGG-CNN
I Nyoman Gede Arya Astawa, Made Leo Radhitya, I Wayan Raka Ardana, and Felix Andika Dwiyanto

https://doi.org/10.17977/um018v4i12021p49-54

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Detection of Disease and Pest of Kenaf Plant Based on Image Recognition with VGGNet19
Diny Melsye Nurul Fajri, Wayan Firdaus Mahmudy, and Titiek Yulianti

https://doi.org/10.17977/um018v4i12021p49-54

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