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All Journal Journal of Innovation and Future Technology (IFTECH) Abdimas Indonesian Journal International Journal of Advanced Multidisciplinary
Anggraeni Pratama Indrianto
Universitas Yarsi Pratama
Religion Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences

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ANALISIS FAKTOR SELF-EFFICACY DAN NORMA SUBJEKTIF DALAM PENERIMAAN SISTEM INFORMASI PEMBELAJARAN E-LEARNING Ari Pambudi; Hani Dwi Ariessanti; Fata Nidaul Khasanah; Anggraeni Pratama Indrianto; Ikhsan Nurahman
Journal of Innovation And Future Technology Vol. 8 No. 1 (2026): Vol 8 No 1 (Februari 2026): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/j0m6w536

Abstract

Improvements in information technology have given rise to the phenomenon of using e-learning systems in education. However, the success of e-learning implementation is highly dependent on user acceptance. This research identifies factors that influence tertiary students' interest in using e-learning in Indonesia, by focusing on self-efficacy and subjective norms. By involving 116 respondents and analyzing data using PLS-SEM, this research shows that around 41.5% of the variability in interest in using e-learning can be explained by self-efficacy and subjective norms. The findings show that subjective norms have a greater influence than self-efficacy on interest in using e-learning. These results reinforce the importance of subjective norms as a major factor in e-learning acceptance. This research also highlights the need for further research to understand additional factors that may influence interest in using e-learning in the future.
Transformasi Digital dan Penguatan Tata Kelola UMKM Berbasis Green Business pada Lucky Fingers Cafe Ari Pambudi; Ida Faridah; Ikhsan Nurahman; Anggraeni Pratama Indrianto
Abdimas Indonesian Journal Vol. 6 No. 1 (2026)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.1287

Abstract

This community service program aims to support the digital transformation and strengthen business governance of Lucky Fingers Cafe as a growing micro, small, and medium enterprise (MSME) through an integrated approach based on green business principles. As the business expands in scale, customer volume, and operational complexity, challenges arise in managing business processes, financial recording, service quality, and environmental responsibility. The assistance was carried out through mentoring and training in the utilization of information systems, improvement of management practices, strengthening of simple accounting records, and recommendations for the use of environmentally friendly packaging. The methods included initial needs assessment, implementation of mentoring sessions, practical guidance, and evaluation of business practices. The results show an improvement in the partner’s understanding and application of digital tools, more structured financial management, better operational organization, and increased awareness of sustainable business practices. The adoption of green packaging is expected to enhance the business image and align the enterprise with environmentally conscious consumer trends. This program demonstrates that integrated assistance combining digitalization, governance strengthening, and sustainability can effectively support the growth and competitiveness of MSMEs.
Exploring the Role of Artificial Intelligence in Radiodiagnostics and Radiotherapy: A Literature Review from the Indonesian Context Intan Masita Hayati; Evie Kusmiati; Syahroni Lubis; Anggraeni Pratama Indrianto; Fikar Ryan Wijaya
International Journal of Advanced Multidisciplinary Vol. 4 No. 3 (2025): International Journal of Advanced Multidisciplinary (October - December 2025)
Publisher : Greenation Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v4i3.1390

Abstract

The utilization of artificial intelligence (AI) in the fields of radiodiagnostics and radiotherapy has been rapidly advancing worldwide, contributing significantly to improving diagnostic accuracy, work efficiency, and the personalization of cancer therapy. In Indonesia, this development has begun to gain attention through local research, national initiatives, and limited implementation in healthcare facilities. This article aims to review the literature on the use of AI in radiodiagnostics and radiotherapy in Indonesia, covering research trends, application areas, and implementation challenges. The literature search was conducted using international databases (PubMed, Scopus, Google Scholar) and national sources (Garuda, university repositories) with relevant keywords, publication years ranging from 2015 to 2025, and inclusion criteria focused on studies within the Indonesian context. The review findings indicate that AI has been utilized in various aspects of radiodiagnostics, such as mammography analysis, X-rays, and cervical cancer screening, while in radiotherapy, AI has been applied in auto-contouring, dose planning, and quality assurance. Although the potential of AI utilization is highly promising, the main challenges include limited local datasets, infrastructure readiness, regulations, and human resource competence. This article concludes that the development of AI in radiology and radiotherapy in Indonesia requires interdisciplinary collaboration, data standardization, policy support, and large-scale clinical validation studies to ensure safe, effective, and sustainable implementation.
Co-Authors Ari Pambudi Evie Kusmiati Fata Nidaul Khasanah Fikar Ryan Wijaya Hani Dwi Ariessanti Ida Faridah Ikhsan Nurahman Intan Masita Hayati Syahroni Lubis