International Journal of Informatics and Information Systems

 Journal title IJIIS: International Journal of Informatics and Information Systems 
 Initials IJIIS
 Abbreviation IJIIS Int. J. Informatics Inf. Syst.
 Online ISSN 2579-7069
 Frequency 3 issues per year
 DOI doi.org/10.47738/ijiis
 Editor-in-chief 

Prof. Dr. Taqwa Hariguna, (ID Scopus: 57193771775), Universitas Amikom Purwokerto, Indonesia

Prof. Abdel Badeeh M Salem, (ID Scopus: 36762342200), Faculty of Computing and Information Science, Ain Shams University, Cairo, Egypt

 Organizer / Collaboration 

Departement of Information System, Universitas Amikom Purwokerto, Indonesia; Faculty of Computing and Information Science, Ain Shams University, Cairo, Egypt

 Published By 

Bright Publisher

 Citation Analysis Scopus | Web of Science | Google Scholar

IJIIS: International Journal of Informatics and Information Systems, e-ISSN 2579-7069 is an official publication of the Bright Publisher. The IJIIS is an international open access refereed journal that has been published online since 2018. The IJIIS is open to submission from scholars and experts in the wide areas of Informatics, Information Systems, Data Sciences, and Information Technology. This journal is cited by SCOPUS (Elsevier), Web of Science (WoS), and in Top Databases and Universities. Our aim is to provide an international forum for scientists and engineers to share research and ideas, and to promote the crucial field of data management and analytics, information retrieval and knowledge discovery, artificial computer networks and communication systems, human-computer interaction and user experience, information security and privacy, software engineering and development, information systems modeling and design, big data processing and storage, and cloud computing and distributed systems.

Finally, accepted and published papers will be freely accessed in this website and the following abstracting & indexing databases:

            

OAI Address
IJIIS: International Journal of Informatics and Information Systems has OAI address : https://ijiis.org/index.php/IJIIS/oai

Before submission,
You have to make sure that your paper is prepared using the IJIIS paper Template,has been carefully proofread and polished and conformed to the author guidelines.

Online Submissions

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Vol 9, No 2: Regular Issue: March 2026

This issue available online on 1st March 2026 for the regular issue of March 2026. All articles in this issue (5 original research articles) were authored/co-authored by 10 authors from 2 countries (Indonesia and India).

Table of Contents

Articles

Optimizing Time Series Forecasting for AI Job Market Dynamics: A Comparative Study of SARIMA and Prophet with Cross-Validation
Slamet Widodo(1*), Budi Santoso(2),

(1) Magister of Computer Sciences, Amikom Purwokerto University, Indonesia
(2) Magister of Computer Sciences, Amikom Purwokerto University, Indonesia
10.47738/ijiis.v9i2.296
PDF
295-310
Personalized Hydration Prediction: Leveraging Machine Learning to Model Daily Water Intake Based on Physical Activity and Environmental Factors
Emi Yuliati(1*), Oktavia Mulyo Nurdiyanti(2),

(1) Magister of Computer Sciences, Amikom Purwokerto University, Indonesia
(2) Magister of Computer Sciences, Amikom Purwokerto University, Indonesia
10.47738/ijiis.v9i2.297
PDF
311-324
Leveraging Machine Learning Algorithms for Early Detection of Breast Cancer: A Comparative Study Using Diagnostic Features
Aulia Abikhair(1*), Huang Guanghui(2),

(1) Teacher Education Study Program, School of Postgraduate Studies, Universitas Pendidikan Indonesia, Bandung, Indonesia
(2) Department of Educational Administration, Faculty of Education, Universitas Pendidikan Indonesia, Bandung, Indonesia
10.47738/ijiis.v9i2.298
PDF
325-341
Classifying Driver Behavior Using Machine Learning: A Simple Approach to Detect Distracted and Aggressive Driving
Ika Christine Purba(1*), Aulia Al-JIhad Safhadi(2),

(1) Magister of Computer Sciences, Universitas Gadjah Mada, Indonesia
(2) Magister of Computer Sciences, Universitas Gadjah Mada, Indonesia
10.47738/ijiis.v9i2.299
PDF
342-356
Predicting Customer Churn in E-Commerce Using Machine Learning: A Comprehensive Approach
Priya Sakthi Kumar(1*), Vinoth Kumar P(2),

(1) AMET Deemed to be University, Kanathur, Chennai 603112, Tamil Nadu, India
(2) India Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Tamil Nadu, India
10.47738/ijiis.v9i2.300
PDF
357-370