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 with 20% Similarity. 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 | 2021

The Problem of Open Journal System (OJS) or Fast Respons, please contact this number: 


Journal Homepage Image

Journal title: Indonesian Journal of Artificial Intelligence and Data Mining
Initial: IJAIDM
Frequency: 2 Issues per Year
DOI: Crossref
Editor in Chief: Mustakim, S.T., M.Kom. [Scopus | Google Scholar | Sinta]
Publisher: Puzzle Research Data Technology (Predatech) UIN Sultan Syarif Kasim Riau
Accredite: SINTA 3 KEMENDIKBUD
Language: English
Similarity Check: Under 20% Turnitin
Publish Online: March and September
Management References: Mendeley (Min 15 References Intenational Journal)
Fee of Charge: Free (Reguler)

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

 

Attention:
Authors who have submitted to IJAIDM and have received assessment results from reviewers, please immediately fix your paper (if revised) within a maximum 30 days. If within that time there is no news, information and notification either via email (ijaidm@uin-suska.ac.id) or via WhatsApp (Fast Response), we from IJAIDM Team will reject the paper and include the author on IJAIDM blacklist.

Vol 5, No 2 (2022): September 2022

Table of Contents

Articles

Potential for Improvement of Student's English Language with the C4.5 Algorithm
DOI : 10.24014/ijaidm.v5i2.17333 | Abstract views : 323 times
Cyntia Lasmi Andesti, Fitria Lonanda, Nur Azizah
PDF
66-75
Classification Between Suicidal Ideation and Depression Through Natural Language Processing Using Recurrent Neural Network
DOI : 10.24014/ijaidm.v5i2.17485 | Abstract views : 336 times
Rhenaldy Rhenaldy, Ladysa Stella Karenza, Hidayaturrahman Hidayaturrahman, Muhamad Keenan Ario
PDF
76-82
Application of Data Mining to Group the Spread of Covid-19 in West Java Province, Indonesia Using the K-Means Algorithm
DOI : 10.24014/ijaidm.v5i2.18721 | Abstract views : 327 times
Ronald Sebastian, Christina Juliane
PDF
83-90
Identification of Diabetes Mellitus Risk Factors With a Data Mining Classification Approach
DOI : 10.24014/ijaidm.v5i2.18841 | Abstract views : 368 times
Ade Agustina, Galih Ady Permana, Christina Juliane
PDF
91-97
Handling Outliers in The Stochastic Frontier Model Using Cauchy and Rayleigh Distributions to Measure Technical Efficiency of Rice Farming Bussiness
DOI : 10.24014/ijaidm.v5i2.19597 | Abstract views : 72 times
Retna Nurwulan, Anik Djuraidah, Anwar Fitrianto
PDF
98-110
Application of Data Mining Using the K-Means Clustering Algorithm for Opening Industrial Classes in Vocational High Schools
DOI : 10.24014/ijaidm.v5i2.19172 | Abstract views : 259 times
Aan Rosydiana, Dian Sediana, Christina Juliane
PDF
111-119
Algorithm Decission Tree C4.5 and Backpropagation Neural Network for Smarthpone Price Classification
DOI : 10.24014/ijaidm.v5i2.19064 | Abstract views : 57 times
Muhammad Ridho Al Fathan, M Fadhil Arfa, Habibah Br. Lumbantobing, Rahmaddeni Rahmaddeni
PDF
120-129