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All Journal Jurnal Teknik Industri J@TI (TEKNIK INDUSTRI) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Ilmiah Teknik Industri MIX : Jurnal Ilmiah Manajemen IJIES (International Journal of Innovation in Enterprise System) eProceedings of Engineering Metris: Jurnal Sains dan Teknologi
Afrin Fauzya Rizana
Universitas Telkom
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Journal : Jurnal Teknik Industri

 1 
Multi-Agent Simulation in the Inter-Organizational Trust Model and Knowledge Sharing in the Automotive Industry Rizana, Afrin Fauzya; Ramadhan, Fadillah
Jurnal Teknik Industri Vol 20, No 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (337.031 KB) | DOI: 10.22219/JTIUMM.Vol20.No2.161-171

Abstract

Two organizations can share knowledge to determine the success of their collaboration. Effectiveness in sharing knowledge affect the organizational performance and trust between organizations. This study aims to identify the implementation of multi-agent simulations to increase confidence in sharing knowledge between organizations. A multi-agent simulation approach was used in this study. The research model was adopted from previous research. Several hypotheses and path coefficients had tested in simulation models. The results of this study showed that multi-agent simulation is suitable to be implemented as a problem-solving method for a complex problem such as knowledge sharing. Besides, this study found the role of individual factors such as likability and expertise on the success of sharing knowledge between organizations.
Kesuksesan Knowledge Transfer Di Laboratorium Perguruan Tinggi Melalui Pengelompokkan Rekan Kerja Menggunakan Agent-Based Modeling And Simulation Fadillah Ramadhan; Afrin Fauzya Rizana; R Rispianda; Yoanita Yuniati
Jurnal Teknik Industri Vol. 19 No. 2 (2018): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol19.No2.205-219

Abstract

One of aspect that contributes to improving organizations performance is knowledge transfer effectiveness. On the other hand, knowledge transfer is a dynamic interaction between people, process, and environment so that activity related to knowledge transfer categorized as a complex and adaptive process. The use of agent-based modeling and simulation approach is very appropriate in modeling knowledge transfer due to its ability to deal with the dynamic, complex, and adaptive process. Moreover, the agent-based approach has the ability in describing the interaction between the social agent that possess particular behavior. The purposes of this study are to identify the factors that influence the success of knowledge transfer in the university laboratory. In addition, the results show that agent-based modeling and simulation approach can determine the best scenario that can increase the success of knowledge transfer based on grouping of colleagues.
Multi-Agent Simulation in the Inter-Organizational Trust Model and Knowledge Sharing in the Automotive Industry Afrin Fauzya Rizana; Fadillah Ramadhan
Jurnal Teknik Industri Vol. 20 No. 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.788 KB) | DOI: 10.22219/JTIUMM.Vol20.No2.161-171

Abstract

Two organizations can share knowledge to determine the success of their collaboration. Effectiveness in knowledge sharing affects organizational performance and trust between organizations. This study aims to identify the implementation of multi-agent simulations to increase trust in sharing knowledge between organizations. A multi-agent simulation approach was used in this study. The research model was adopted from previous research.  Several hypotheses and path coefficients were tested in simulation models. This study showed that multi-agent simulation is suitable as a problem-solving method for complex issues such as knowledge sharing.  In addition, this study identified individual factors such as likability and expertise in the success of knowledge sharing between organizations.
Co-Authors Amelia Kurniawati Arieftyarto Taufik Ramadhan Arifianto Aji Putro Artamevia Salsabila Rizaldi Augustina Asih Rumanti Bima Dwica Ananto Boy Diva Sena Charisma Zaafira Abdullah Eralltami Eralltami Fadhia Nadhira Putri Yulianto Fadillah Ramadhan Fifin Nur Hanifah Fifin Nur Hanifah Firdah Dipi Juni Kurniawati Ghina Fadiyah Grace Agustina Luciana Andrawina Metha Pratiwi Mutiara Pramuti Jaya Nurdinintya Athari Supratman R Rispianda Rani Gusti Angesti Rayinda P. Soesanto Rayinda P. Soesanto, Rayinda P. Rayinda Pramuditya Soesanto Satria Panji Winata Yoanita Yuniati