Indonesian Journal of Artificial Intelligence and Data Mining

Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) is an electronic periodical publication published by Puzzle Research Data Technology (Predatech) Faculty of Science and Technology UIN Sultan Syarif Kasim Riau, Indonesia. IJAIDM provides online media to publish scientific articles from research in the field of Artificial Intelligence and Data Mining.

IJAIDM will be published 2 (two) times a year, in March and September, each edition contains 7 (seven) articles. Articles may be written in English or Indonesia. Articles submitted to IJAIDM will be reviewed at least by 2 (two) reviewers. The submitted article must meet the assessment criteria and in accordance with the instructions and templates provided by IJAIDM. The author should upload the Statement of Intellectual/ Copyright Rights when submitting the manuscript. Paper must be sent to Open Journal System (OJS) with .doc or .docx format. The entire process until IJAIDM is published will be free of charge. IJAIDM is registered in National Library with Number International Standard Serial Number (ISSN) Printed: 2614-3372 and Online 2614-6150.

IJAIDM uses Turnitin plagiarism checks, Mendeley for reference management and supported by Crossref (DOI) for identification of scientific paper.

Organization Statement Letter of Chancellor: 2018 | 2019 | 2020 

 


Journal Homepage Image

Indonesian Journal of Artificial Intelligence and Data Mining (IJAIDM) indexing by:


Vol 3, No 1 (2020): March 2020

Table of Contents

Articles

Evita Dyah Wardhani, Satria Kurnia Areka, Arya Wahyu Nugroho, Ayufi Reyza Zakaria, Arya Damar Prakasa, Rani Nooraeni
PDF
1-8
Jamaluddin Husein, Oktaf Brillian Kharisma
PDF
9-20
Ulfa Khaira, Ragil Johanda, Pradita Eko Prasetyo Utomo, Tri Suratno
PDF
21-27
Yampi R Kaesmetan, Marlinda Vasty Overbeek
PDF
28-35
Fitri Insani (Scopus ID: 57190404820), Ade Puspita Sari
PDF
36-41
Halim Mudia
PDF
42-49
Elin Panca Saputra, Indriyanti Indriyanti, Supriatiningsih Supriatiningsih
PDF
50-56