Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal International Journal Software Engineering and Computer Science (IJSECS) Dedicated: Journal of Community Services (Pengabdian kepada Masyarakat)
Heru Wijayanto Aripradono
International University of Batam
Computer Science & IT

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Enhancing Foreign Language Learning through Educational Technology Jerri Phua; Heru Wijayanto Aripradono
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 1 (2025): APRIL 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i1.3483

Abstract

Nowadays, the demand for foreign language learning has become a necessity due to globalization but traditional strategies are not free from problems. Educational technologies (EdTech), especially those powered by Artificial Intelligence (AI), augmented reality (AR) and/or virtual VR are following the trend and introducing new ways to enhance the efficiency of foreign language learning. Behavior and 2) This study examine the use of these technologies in foreign language learning through quality education. The study used descriptive qualitative methodology with a systematic review of related literature. The study results show that EdTech enables more interactive, personalized and integrated learning, which significantly enhances foreign language competency. However, there are known obstacles such as lack of infrastructure, inadequate teacher training and inaccessible areas. To overcome this, there is a need for E2E (EdTech to Ends) which aims to achieve maximum in foreign language education by using the power of EdTech.
Pelatihan literasi digital secara daring untuk guru Indonesia menggunakan kerangka kerja UNESCO DLGF dan kompetensi AI Heru Wijayanto Aripradono; Yundi Christie Nandani
Dedicated: Journal of Community Services (Pengabdian kepada Masyarakat) Vol. 4 No. 1 (2026): Dedicated: Journal of Community Services (Pengabdian kepada Masyarakat)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/dedicated.v4i1.575

Abstract

Indonesia's rapid digital transformation demands that teachers develop strong digital literacy competencies. However, persistent gaps, particularly in data literacy, applied technical problem-solving, and digital content creation, have not been fully addressed by existing training programs. The emergence of AI in education further increases competency demands that are not widely accommodated by current teacher professional development initiatives. This community service article reports on a two-session online digital literacy training involving 137 teachers from elementary, junior high, senior high, and vocational high schools across 26 provinces in Indonesia. The training was designed based on the UNESCO Global Framework of Reference on Digital Literacy Skills and expanded upon by the UNESCO AI Competency Framework for Teachers. Outcomes were measured through a post-training self-assessment survey, and findings indicate that participants reported high to very high digital literacy self-efficacy after the training. Ethics and Security emerged as the strongest dimensions, while data literacy remained the weakest area, reflecting the difficulty of building critical information-evaluation skills through short-term interventions. Applied technical problem-solving and digital content integration were also identified as follow-up priorities. This training confirms that online professional development grounded in a global framework is a measurable strategy for building teachers' digital literacy nationally.
Analysis of Factors Influencing Artificial Intelligence Adoption Among MSMEs in Batam City Using the TOE and TAM Approaches Daniel Daniel; Heru Wijayanto Aripradono; Surya Tjahyadi
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 2 (2026): AUGUST 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i2.7631

Abstract

Artificial intelligence (AI) has considerable potential to enhance operational competitiveness, but its adoption among Micro, Small, and Medium Enterprises (MSMEs) remains constrained by structural and perceptual barriers. This study examines the factors influencing AI adoption intention among MSMEs in Batam City using the Technology-Organization-Environment (TOE) framework and Technology Acceptance Model (TAM), with Diffusion of Innovation (DOI) providing additional theoretical support. A sequential explanatory mixed-methods design was employed. Quantitative data were collected from 270 MSME practitioners and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The measurement model met the criteria for convergent validity, discriminant validity, and reliability after the removal of the Environmental Pressure construct due to discriminant validity issues. The structural model showed that all six hypotheses retained in the final model were supported. Technology Readiness and Organizational Support had significant positive effects on Perceived Usefulness and Perceived Ease of Use, while Perceived Usefulness was the strongest direct predictor of AI adoption intention. Qualitative interviews with five MSME practitioners further supported the quantitative findings by indicating that practical operational benefits and internal readiness were important considerations in AI adoption. Based on these findings, MSME managers and policymakers in Batam City should emphasize the practical operational benefits of AI and strengthen digital infrastructure and organizational readiness to support adoption.
Co-Authors Daniel Daniel Jerri Phua Surya Tjahyadi Yundi Christie Nandani