About Journal

Jurnal Komtika (Komputasi dan Informatika) is a scientific journal published by the Faculty of Engineering, Universitas Muhammadiyah Magelang. This journal is issued twice a year (May and November) and it is a media for researchers, academics, and practitioners who are interested in the field of Computer Science and wish to channel their thoughts and findings. The articles contained are the results of research, critical, and comprehensive scientific study which are relevant and current issues covered by the journals. Editors invite researchers, practitioners, and students to write scientific developments in fields related to computer science and information. Jurnal Komtika (Komputasi dan Informatika) is Accredited by the Ministry for Research, Technology, and Higher Education (RISTEKDIKTI)(No:200/M/KPT/2020).

Journal Description

Jurnal Komtika (Komputasi dan Informatika)
Publisher :Universitas Muhammadiyah Magelang
DOI prefix :10.31603/komtika by
p-ISSN :2580-2852
e-ISSN :2580-734X
Frequency :Twice a year (May & November)
Editor in Chief :Maimunah
Managing Editor :Pristi Sukmasetya
Indexing :Click here
Citation Analysis:Google Scholar
Scope :Click here

Vol 5 No 1 (2021)

Published: Jul 15, 2021

Identifikasi Penyakit Tanaman Ubi Kayu Berdasarkan Citra Daun Menggunakan Metode Probabilistic Neural Network (PNN)

1-9 Yuslena Sari, Muhammad Alkaff, Muhammad Arif Rahman

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Read Statistic: 110

Prediksi Perubahan Penggunaan Lahan dan Pola Berdasarkan Citra Landsat Multi Waktu dengan Land Change Modeler (LCM)

10-18 Herlawati Herlawati, Fata Nidaul Khasanah, Prima Dina Atika, Rafika Sari, Rahmadya Trias Handayanto

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Read Statistic: 128

Analisis Sentimen Opini Terhadap Vaksin Covid - 19 pada Media Sosial Twitter Menggunakan Support Vector Machine dan Naive Bayes

19-25 Frizka Fitriana, Ema Utami, Hanif Al Fatta

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Read Statistic: 250

Implementasi Aplikasi Monitoring Nilai dan Kegiatan Siswa Berbasis Android dengan Metode Prototype

26-34 Fransiskus Panca Juniawan, Dwi Yuny Sylfania, Rendy Rian Chrisna Putra, Rahmat Sulaiman

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Read Statistic: 69

Analisis Keamanan Sistem Informasi Menggunakan Sudomy dan OWASP ZAP di Universitas Duta Bangsa Surakarta

35-42 Dedy Hariyadi, Faulinda Ely Nastiti

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Read Statistic: 116

Analisis Sentimen Twitter Kuliah Online Pasca Covid-19 Menggunakan Algoritma Support Vector Machine dan Naive Bayes

43-51 Hendrik Setiawan, Ema Utami, Sudarmawan Sudarmawan

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Read Statistic: 97

Komparasi Algoritma Naive Bayes dan K-Nearest Neighbor untuk Membangun Pengetahuan Diagnosa Penyakit Diabetes

52-59 Maulidya Dwi Nurmalasari, Kusrini Kusrini, Sudarmawan Sudarmawan

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Read Statistic: 66

Sentimen Analisis Terhadap Aplikasi pada Google Playstore Menggunakan Algoritma Naïve Bayes dan Algoritma Genetika

60-71 Arif Rahman, Ema Utami, Sudarmawan Sudarmawan

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Read Statistic: 93

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