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  3. Vol. 4 No. 2 (2024): Regular Issue: July 2024

This issue available online during July 2024 for the regular issue of July 2024. All articles in this issue (5 original research articles) were authored/co-authored by 11 authors from 2 countries (Indonesia, Malaysia, and Thailand).

DOI: https://doi.org/10.47738/ijaim.v4i2

Published: 2024-07-01

Articles

Job Clustering Based on AI Adoption and Automation Risk Levels: An Analysis Using the K-Means Algorithm in the Technology and Entertainment Industries

Muhammad Siad Hasibuan, Ruki Rizal Nul Fikri, Deshinta Arrova Dewi
PDF

Sentiment Analysis of Doctor’s Responses to Patient Inquiries in a Medical Chatbot: A Logistic Regression Approach

Mesra Betty Yel, Rodhiyah
PDF

Using Random Forest and Support Vector Machine Algorithms to Predict Online Shopper Purchase Intention from E-Commerce Session Data

Reza Alamsyah, Sri Wahyuni
PDF

Forecasting AI Model Computational Requirements Using Random Forest and XGBoost with Entity and Domain Characteristics

Astika Ayuningtyas, Rindi Nur Wulandari
PDF

Predicting AI Service Focus in Companies Using Machine Learning: A Data Mining Approach with Random Forest and Support Vector Machine

Thosporn Sangsawang, Lin Tang, Tiamyod Pasawano
PDF

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International Journal for Applied Information Management
e-ISSN: 2776-8007
Publisher: Bright Institute
Website: https://ijaim.net
Email: editor@ijaim.net (Managing Editor)
Support: support@ijaim.net (Technical Support)
CC BY-SA 4.0 This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License .