ComTech: Computer, Mathematics and Engineering Applications

About the Journal

P-ISSN: 2087-1244
E-ISSN: 2476-907X

ComTech is a biannual journal, published in June and December. ComTech is an interdisciplinary and open access journal covering Computer, Mathematics, and Engineering Applications.

ComTech has been accredited by DIKTI under the decree number 3/E/KPT/2019 (SINTA 2) and indexed by CrossRef, ASEAN Citation Index, Directory of Open Access Journals (DOAJ), Science and Technology Index 2 (SINTA 2), Garda Rujukan Digital (Garuda), Microsoft Academic Search, Google Scholar, Academic Resource Index (ResearchBib) and Indonesian Research Repository (Neliti)

There is an article-processing charge for all accepted papers and will be freely available to all readers with worldwide visibility and coverage. The article processing charge is Rp. 2.000.000,00 and the author will receive a complimentary hard copy of our journal. Free-of-charge for international authors.

Current Issue

Vol. 13 No. 1 (2022): ComTech (In Press)

View Vol. 13 No. 1 (2022): ComTech (In Press)

Published: 2022-02-03

Articles

Discovering the Optimal Number of Crime Cluster Using Elbow, Silhouette, Gap Statistics, and NbClust Methods

Noviyanti T. M. Sagala, Alexander Agung Santoso Gunawan

1-10
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Abstract 130 . Downloaded 16
The Application of C4.5 Algorithm for Selecting Scholarship Recipients

Fristi Riandari, Sarjon Defit

11-21
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Abstract 191 . Downloaded 7
The Asset Management and Tracking System for Technical and Vocational Education and Training (TVET) Institution Based on Ubiquitous

Totok Sulistyo, Karmila Achmad, Ida Bagus Irawan Purnama

23-34
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Abstract 113 . Downloaded 1
The Implementation of Knowledge Management System (KMS) Evaluation Model in Improving Employee Performance: A Case Study of the State Electricity Company (Persero)

Wahyu Budianto, Wahyu Sardjono
Abstract 219 . Downloaded 0
The Solution of Non-Linear Equations System Containing Interpolation Functions by Relaxing the Newton Method

Nur Rokhman, Erwin Eko Wahyudi, Janoe Hendarto
Abstract 128 . Downloaded 0
Prediction of Undergraduate Student’s Completion Study Status using MissForest Imputation in Random-Forest and XGBoost Models

Intan Nirmala, Hari Wijayanto, Khairil Anwar Notodiputro
Abstract 138 . Downloaded 0

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