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Journal of Information Systems Engineering and Business Intelligence (JISEBI) is an international peer-reviewed open-access journal. JISEBI aims to promote high-quality Information Systems (IS) research among academics and practitioners alike, including computer scientists, IS professionals, business managers, and other stakeholders in the industry. Contributed papers must be original and offer an impactful contribution. At least two independent reviewers will review each manuscript in the relevant field to ensure the publication of only top-quality contributions. JISEBI offers an open-access license (CC-BY) while retaining the copyright for the authors. The Ministry of Research, Technology/National Research and Innovation Agency of the Republic of Indonesia has accredited JISEBI with Peringkat 2 (SINTA 2) from 2016 to 2024 with the decree number 148/M/KPT/2020 dated 3 August 2020. The journal accreditation certificate can be downloaded here.
Current Issue
Articles
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Designing an Open Innovation Framework for Digital Transformation Based on Systematic Literature Review
100-108Abstract : 775PDF : 412 -
Identifying Messenger Platform Preferences using Multiple Linear Regression and Conjoint Analyses
119-129Abstract : 457PDF : 229 -
Segmentation using Customers Lifetime Value: Hybrid K-means Clustering and Analytic Hierarchy Process
130-141Abstract : 471PDF : 289 -
Lexicon and Naive Bayes Algorithms to Detect Mental Health Situations from Twitter Data
142-148Abstract : 373PDF : 190 -
Hybrid Deep Learning Models for Multi-classification of Tumour from Brain MRI
162-174Abstract : 334PDF : 147 -
Data Mining Techniques in Handling Personality Analysis for Ideal Customers
175-181Abstract : 339PDF : 182 -
Comparing Fuzzy Logic Mamdani and Naïve Bayes for Dental Disease Detection
182-195Abstract : 280PDF : 164 -
Information Security Risk Assessment (ISRA): A Systematic Literature Review
207-217Abstract : 353PDF : 178 -
Skin Cancer Classification and Comparison of Pre-trained Models Performance using Transfer Learning
218-225Abstract : 338PDF : 187