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All Journal Cakrawala Pendidikan Harmonia: Journal of Research and Education Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan Knowledge Engineering and Data Science Letters in Information Technology Education (LITE) Journal of Applied Data Sciences Science in Information Technology Letters International journal of education and learning Bulletin of Social Informatics Theory and Application
Dwiyanto, Felix Andika
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Arts Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Social Sciences

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Journal : Bulletin of Social Informatics Theory and Application

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Indonesian online learning system evaluation framework based on UTAUT 2.0 Dwiyanto, Felix Andika; Elmunsyah, Hakkun; Yoto, Yoto
Bulletin of Social Informatics Theory and Application Vol. 4 No. 2 (2020)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v4i2.287

Abstract

This study aims to propose an evaluation of Indonesian online learning system which known as SPADA. This system accommodate an online learning for teacher profession education program which known as PPG. The system evaluation is using unified theory of acceptance and use of technology 2 (UTAUT2) model with a few adjustments. This study provide an information such as required variables to evaluate the system and research design on SPADA. The proposed evaluation model using seven main constructs of UTAUT 2.0 and its influence on behavioral intention and use behavior. The data obtained from several questionnaires related to the variable and analyzed with path analysis technique. Moreover, this proposed study is expected can be as reference to conduct a similar study related to the system evaluation.
Deep learning in education: a bibliometric analysis Wibawa, Aji Prasetya; Dwiyanto, Felix Andika; Utama , Agung Bella Putra
Bulletin of Social Informatics Theory and Application Vol. 6 No. 2 (2022)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v6i2.596

Abstract

This study investigates the application and development of deep learning in educational settings. Based on the statistics of scientific papers, analysis done using bibliometrics demonstrates the rise of deep learning in educational settings. Deep learning is having a transformative effect on all aspects of education and learning, as well as research. These findings could pave the way for more investigation into deep learning, particularly in education. According to the bibliometric results, the Netherlands, China, the United States of America, India, and Norway are the five countries that have contributed the most to deep learning in education. Norway came in fifth place. In addition, some of the possible directions that research could go in the future concerning deep learning in education include online, machine, blended, remote, informal, and deep reinforcement learning.
Co-Authors Aji Prasetya Wibawa Atmaja, Nimas Hadi Citra, Hana Rachma Eddy Sutadji Hakkun Elmunsyah Hariyono Hariyono Hidhayat, Ahmad Rizkyka Agung Humairoh, Nanda Lailatul I Nyoman Gede Arya Astawa Irawan, Novta Danyel Lauretta, Giovanny Cyntia Muhammad Aris Ichwanto Nabila, Khurin Nafalski, Andrew Ningtyas, Yana Noviani, Erina Fika Purnama, Ida Bagus Irawan Purnomo Purnomo Rabbimov, Ilyos Ramadhan, Sany Putra Saifullah, Shoffan Sutoko, Sutoko Tri Kuncoro Tuti Purwaningsih, Tuti Utama , Agung Bella Putra Utama, Agung Bella Putra Yoto Yoto, Yoto Yudistira, Setya Yusriel Ardian Zaeni, Ilham Ari Elbaith