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All Journal Prosiding SNATIKA Vol 01 (2011) REKAYASA Jurnal Teknik Elektro INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Journal of Economic, Bussines and Accounting (COSTING) Indonesian Journal of Information System Journal of Information System,Graphics, Hospitality and Technology Jurnal Teknologi Informasi dan Multimedia Teknika Insyst : Journal of Intelligent System and Computation JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Joutica : Journal of Informatic Unisla Eduvest - Journal of Universal Studies
Edwin Pramana
Institut Sains Dan Teknologi Terpadu Surabaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Neuroscience Physics Social Sciences Other

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Journal : Indonesian Journal of Information System

 1 
The Adoption of Blended Learning in Non-Formal Education Using Extended Technology Acceptance Model Kurniawan, Ridho; Pramana, Edwin; Budianto, Herman
Indonesian Journal of Information Systems Vol 4, No 1 (2021): August 2021
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v4i1.4415

Abstract

This study aims to determine the influencing factors for understanding the intention of the learners in Non-Formal Education to use Blended Learning. In addition, it aims to investigate the relationships of the factors in a theoretical model. This study was conducted due to the lack of research in the world that discusses the adoption of Blended Learning in Non-Formal Education in Developing Countries such as Indonesia. Blended Learning at Non-Formal Education in the Covid-19 era is needed because the education institution has a limited place to accommodate more learners. A questionnaire based on google form was used to collect data. A sample of 566 users of Blended Learning from Non-Formal Education Institutions in Indonesia were used.  All variables from the theoretical model are measured using existing scales.  Structural Equation Model (SEM) was used to analyze the theoretical model.  SPSS and Amos were used as the software tools. This research contributes to the theoretical understanding of Blended Learning adoption as well as practice and provide guidance for Non-Formal Education to successfully implementing Blended Learning in their institutions. From the thirteen initial hypotheses, there are nine significant hypotheses. Three hypotheses with the largest magnitude are SI -> PU, CE -> PEU, and PU -> BI.  SI is the most influencing factor in the adoption of blended learning at non-formal education institutions.
The Adoption of Blended Learning in Non-Formal Education Using Extended Technology Acceptance Model Ridho Kurniawan; Edwin Pramana; Herman Budianto
Indonesian Journal of Information Systems Vol. 4 No. 1 (2021): August 2021
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v4i1.4415

Abstract

This study aims to determine the influencing factors for understanding the intention of the learners in Non-Formal Education to use Blended Learning. In addition, it aims to investigate the relationships of the factors in a theoretical model. This study was conducted due to the lack of research in the world that discusses the adoption of Blended Learning in Non-Formal Education in Developing Countries such as Indonesia. Blended Learning at Non-Formal Education in the Covid-19 era is needed because the education institution has a limited place to accommodate more learners. A questionnaire based on google form was used to collect data. A sample of 566 users of Blended Learning from Non-Formal Education Institutions in Indonesia were used.  All variables from the theoretical model are measured using existing scales.  Structural Equation Model (SEM) was used to analyze the theoretical model.  SPSS and Amos were used as the software tools. This research contributes to the theoretical understanding of Blended Learning adoption as well as practice and provide guidance for Non-Formal Education to successfully implementing Blended Learning in their institutions. From the thirteen initial hypotheses, there are nine significant hypotheses. Three hypotheses with the largest magnitude are SI -> PU, CE -> PEU, and PU -> BI.  SI is the most influencing factor in the adoption of blended learning at non-formal education institutions.
Mobile Payment Adoption in Generation Z Using Extended Unified Technology Acceptance and Use of Technology Alfa'izy, Erick Ahmad Fahmi; Pramana, Edwin; Gunawan
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7340

Abstract

This study investigates the possible factors determining the success of m-payment adoption in Generation Z using the basic Unified Technology Acceptance and Use of Technology (UTAUT) model based on previous research. A theoretical model derived from previous research that combines factors from the acceptance model of UTAUT with relevant m-payment factors (Trust, Perceived Security, Network Externalities). The sample includes 735 participants from three cities in Indonesia. Structural equation models are used to analyze and develop theoretical models. Only four hypotheses can be accepted based on the analysis of the seven hypotheses proposed. Trust, Perceived Security, Performance Expectancy, and Social Influence positively and significantly impact Behavioral Intention. Meanwhile, Facilitating Conditions, Effort Expectancy, and Network Externalities are insignificant to Behavioral Intention. There are many research models for adopting m-payments, but in developing countries, including Indonesia, the cellular penetration rate is already very high. However, the acceptance of m-payments in various trade transactions is still embryonic, especially in Generation Z. Therefore, this research presents a comprehensive investigation of the factors that influence the adoption of m-payments in Generation Z in Indonesia.
Mobile Payment Adoption in Generation Z Using Extended Unified Technology Acceptance and Use of Technology Alfa'izy, Erick Ahmad Fahmi; Pramana, Edwin; Gunawan
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7340

Abstract

This study investigates the possible factors determining the success of m-payment adoption in Generation Z using the basic Unified Technology Acceptance and Use of Technology (UTAUT) model based on previous research. A theoretical model derived from previous research that combines factors from the acceptance model of UTAUT with relevant m-payment factors (Trust, Perceived Security, Network Externalities). The sample includes 735 participants from three cities in Indonesia. Structural equation models are used to analyze and develop theoretical models. Only four hypotheses can be accepted based on the analysis of the seven hypotheses proposed. Trust, Perceived Security, Performance Expectancy, and Social Influence positively and significantly impact Behavioral Intention. Meanwhile, Facilitating Conditions, Effort Expectancy, and Network Externalities are insignificant to Behavioral Intention. There are many research models for adopting m-payments, but in developing countries, including Indonesia, the cellular penetration rate is already very high. However, the acceptance of m-payments in various trade transactions is still embryonic, especially in Generation Z. Therefore, this research presents a comprehensive investigation of the factors that influence the adoption of m-payments in Generation Z in Indonesia.
Co-Authors Adithya Marhaendra Kusuma Agung Adi Saptomo Alfa'izy, Erick Ahmad Fahmi Ari Trivianto Audrey Ayu Dianaris Ayyub Cahyadi, David DAVID KURNIAWAN Deslivia, Maria Florencia Elsen Ronando Endang Setyati Esther Irawati Setiawan Francisca Haryanti Chandra Gunawan Gunawan Gunawan Gunawan Habib, Ahmad Hartarto Junaedi Herman Budianto Judi Prajetno Sugiono Keraf, Boniface Boliona Badilangoe Liando, Ivan Alexander Limantara, Rudi Lukman Zaman M. Yahya Ubaidillah Misbahul Aziz Mochamad Alfan Rosid Monica Chandra Munsharif, Achmad Purnomohadi Sutedjo, Sing Tjoen Reddy Alexandro Harianto Retno Susanti Ridho Kurniawan RIDHO KURNIAWAN, RIDHO Safitri, Lia Sasono, Hikmah Agung Titania Dwi Andini Wiguna, I Gusti Lanang Ngurah Agung Artha Yosi Kristian