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All Journal JOIN (Jurnal Online Informatika) Jurnal CoreIT Applied Information System and Management Jurnal Sistem Cerdas Jurnal Perangkat Lunak International Journal Of Science, Technology & Management (IJSTM) Journal of Applied Data Sciences Jurnal Penjaminan Mutu
Aang Subiyakto
Syarif Hidayatullah State Islamic University Jakarta
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Journal : Journal of Applied Data Sciences

 1 
Acceptance of Information Technology Security Among Universities: A Model Development Study Sulhi, Ahmad; Yahaya, Nor Adnan Bin; Subiyakto, Aang
Journal of Applied Data Sciences Vol 4, No 4: DECEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i4.142

Abstract

This study aims to investigate the acceptance model of information technology security among religious higher education institutions in Indonesia, especially focusing on lecturers or lecturers. This study adopts the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model with the addition of additional variables, namely security, privacy, and trust. As reflected in various studies of information systems (IS), many IS models are developed by adopting, combining, and adapting previous models. The researcher in this study developed his model based on input-process-output logic as well as processional and causal models of the information systems (IS) success model. The resulting model has a structure with ten variables and 43 indicators. The relationship between variables is explained through 19 influence links. In addition, in the implementation of the study, the authors break down the model into more detailed assessment instrument levels. Although this model development study may have limitations related to the assumptions used and the researcher's understanding, it has the potential to make a theoretical contribution in terms of the proposition of the new model. In addition, it is important to consider transparency in the development of proposed models and data collection instruments presented as practical points for further research in the context of religious higher education institutions in Indonesia.
Developing the Readiness and Success Model of Information System Implementation in the Indonesian Equestrian Industry Sopandi, Ajang; Yahaya, Nor Adnan; Subiyakto, Aang
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.145

Abstract

This study reports on the incorporation of technology readiness models in information system (IS) success models in the context of assessing readiness factors and the success of information system integration in the equestrian sports industry in Indonesia. As found in several information systems studies, many IS models are developed by adopting, combining, and adapting previous models. Researchers developed this model based on input-process-output logic and processional and causal models of information system success models. The developed model is structured by involving 12 variables and 62 indicators. The path of influence between variables is described by 30 links. In the research implementation stage, the model is also broken down into more detailed assessment instruments. Although these model development studies may have limitations on the assumptions used and the researchers' understanding, they can make theoretical contributions, particularly in terms of proposed new models. In addition, transparency in model development, proposed models, and data collection instruments may also be a practical consideration for advanced research in the context of readiness and successful implementation of information systems in the equestrian sports industry in Indonesia
Information Technology Readiness and Acceptance Model for Social Media Adoption in Blended Learning: A Case Study in Higher Education Institutions in West Java, Indonesia Yusuf, Fahmi; Rahman, Titik Khawa Abdul; Subiyakto, Aang
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.195

Abstract

Technological developments, including the internet, and learning opportunities are increasing. This also encourages the development of learning strategies and models. The blended learning model is applied in almost all universities in Indonesia and the world. With so many universities in Indonesia, implementing blended learning is a challenging thing because it requires a lot of technological preparation and human resources. This research aims to identify factors, develop a model, and evaluate the model to see the readiness and acceptance of technology for adopting social media in blended learning among private higher education institutes students in Indonesia. The population of this research is students from private higher education institutes in West Java, Indonesia, who are directly involved in using blended learning and social media. This quantitative research used a research instrument with five-Likert’s scale. The research population was 663,307, with a sample of 384 students spread across West Java. The contribution of this research is to make a significant contribution to the theoretical framework by expanding and refining existing concepts, providing a more comprehensive understanding of the readiness and acceptance factors for the adoption of social media in blended learning so that it has the potential to provide information to learning planners at private higher education institutes in West Java, Indonesia to help make the right decisions and optimize blended learning planning using social media technology. These findings statistically explain that 19 of 31 the hypotheses are the accepted ones. Moreover, nine of 12 variables influenced the readiness and acceptance of social media technology in blended learning based on the student perception among the private higher education institutions. They were the technological literacy factor, perceived validity, perceived trust, and technology readiness factors, namely optimism and Innovativeness, and technology acceptance factors, namely perceived effectiveness, perceived easy to use, intention to use and usage behaviour.
Acceptance and Success Model for AI Use in Higher Education: Development, Instrument Decomposition, and Its Triangulation Testing Subiyakto, Aang; Huda, Muhammad Q; Hakiem, Nashrul; Suseno, Hendra B; Arifin, Viva; Azmi, Agus N; Sani, Asrul; Yuniarto, Dwi; Hartawan, Muhammad S; Suryatno, Agung; Muji, Muji; Kurniawan, Fachrul; Kusumawati, Ririen; Balogun, Naeem A; Ahlan, Abd. Rahman
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.619

Abstract

Prior social computing studies described that the performance of technology products is about how the product use benefits the users, including Artificial Intelligence (AI). To have an impact, ensuring how AI is used is a prerequisite after the development. Furthermore, its use is also influenced by how users accept AI. This study aimed to develop an acceptance and success model of AI use in the higher education world from the user perspective, to decompose the model into its instrument level, and to test the validity and reliability of the research instrument. The researchers developed the model by adopting and combining the Technology Acceptance Model (TAM) and the Information System Success Model (ISSM) and adapting the proposed model in the context of AI use in higher education learning. The measurement items were derived from definitions of the variables and indicators of the model. The instrument was tested sequentially using triangulation methods. The quantitative testing was online survey with about 51 respondents and the qualitative one was interview involving five experts. This study may contribute methodologically as one of the guidance for novice scholars in similar works. It may relate to the clarity of the research procedure and the implementation of the mixed testing methods. Of course, the assumptions, samples, and data used in the study cannot be generalized for the other studies. Referring to the model development, the proposed model may not cover the other factors related to the ethical, cultural, and organizational barriers for adopting AI. These barriers may also affect its acceptance and success. Thus, the adoption of the factors related the barriers may also be interesting to study further.
Co-Authors Abd. Rahman Ahlan Abd. Rohman, Aedah Binti Aditya Teguh Septoaji Aedah Abd Rahman Anwar Fattah Asrul Sani Azizah, Miftakhul Nuuril Azmi, Agus N Balogun, Naeem A Balqis, Jovanka Djuhari Juma Wijaya Dwi Yuniarto Evy Nurmiati Fachrul Kurniawan Fahmi Yusuf Fetrina, Elvy Hartawan, Muhammad S Huda, Muhammad Q Huda, Muhammad Qomarul Karmilasari Meinarini Catur Utami Miftakhul Nuuril Azizah Muhamad Rizky Muhammad Isa Wibisono Muji, Muji Nashrul Hakiem Qurrotul Aini Rahman, Titik Khawa Abdul Reny Rian Marliana Resad Setyadi Ririen Kusumawati Sangsawang, Thosporn Sholihah, Siti Ma'rufatus Siti Ma'rufatus Sholihah Sopandi, Ajang Suci Ratnawati Sulhi, Ahmad Suryatno, Agung Suseno, Hendra B Viva Arifin Yahaya, Nor Adnan Yahaya, Nor Adnan Bin Yudhanta, Satya Yuni Sugiarti, Yuni