cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Ari Zulsafar
Contact Email
journals@telkomuniversity.ac.id
Phone
+62 852-8098-3983
Journal Mail Official
journals@telkomuniversity.ac.id
Editorial Address
Jl. Telekomunikasi No.1, Sukapura, Kec. Dayeuhkolot, Kabupaten Bandung, Jawa Barat
Location
Kota bandung,
Jawa barat
INDONESIA
IJIES (International Journal of Innovation in Enterprise System)
Published by Universitas Telkom
ISSN : -     EISSN : 25803050     DOI : https://doi.org/10.25124/
Core Subject : Engineering,
Control & Systems Engineering Engineering
International Journal of Innovation in Enterprise Systems (IJIES) is a peer-reviewed international journal which publishes original articles of significant value in all areas of innovation in Enterprise Systems. The journal covers research articles, research-in-brief, and review articles comprising all discipline related to Enterprise Systems, particularly Information Systems & Technology, and the relevant multidisciplinary domain such as Industrial Engineering and Management. The journal welcomes relevant publishable articles including technical innovation, practical IS adoption, management innovation, etc, which is considered as high valued work in this area.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 11 Documents
 1   2 
Diagnosing Object-Oriented Programming Difficulties: Association Rule Mining and Block-Based Scaffolding Andre Rangga Gintara; Lala Septem Riza; Wahyudin
IJIES (International Journal of Innovation in Enterprise System) Vol 10 No 1 (2026): International Journal of Innovation in Enterprise System - Article in Press
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v10i01.10530

Abstract

Logical thinking is fundamental for Object-Oriented Programming, yet vocational students frequently struggle with its abstract concepts. This study aims to overcome these cognitive barriers through a data-driven diagnostic approach and targeted intervention. Utilizing Educational Data Mining techniques, specifically Association Rule Mining, this research analyzed pretest patterns to map learning difficulties among 35 software engineering students in Indonesia. A Research and Development method with a One-Group Pretest-Posttest design was employed. The analysis revealed a "cognitive domino effect," identifying that failures in advanced topics are rooted in specific prerequisite weaknesses. Based on these findings, a remedial intervention using a Scaffolding model assisted by Block-Based Programming was implemented. The results demonstrated that this data-driven intervention significantly enhanced students' logical thinking skills (p<0.001), with a substantial increase in N-Gain scores. It is concluded that integrating algorithmic diagnosis with visual scaffolding effectively bridges the gap between abstract concepts and practical coding skills, offering a scalable model for vocational education.

Page 2 of 2 | Total Record : 11

 1   2 

Filter by Year

2025 2026


Reset
Filter By Issues
All Issue Vol 10 No 1 (2026): International Journal of Innovation in Enterprise System - Article in Press Vol 9 No 2 (2025): International Journal of Innovation in Enterprise System