Advancing Logistics Training with Virtual Reality: A Case Study of PT XYZ's Innovative Approach in Indonesia

Istiono, Wirawan (2023) Advancing Logistics Training with Virtual Reality: A Case Study of PT XYZ's Innovative Approach in Indonesia. International Journal of INTELLIGENT SYSTEMS AND APPLICATIONS, 11 (03). pp. 628-635. ISSN 2147-6799

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Abstract

PT XYZ is an Indonesian pharmaceutical company that provides domestic and international health services. PT XYZ established an apprenticeship program to design and develop virtual reality (VR)-based logistics practice training modules in the past. On December 28, 2022, PT XYZ logistics employees evaluated the newly developed training module for logistics in order to provide feedback. The development of logistics training modules is predicated on issues regarding motion sickness and assessment criteria. One of the training assessment features was created using the Fisher– Yates Shuffle algorithm, which was implemented in a training module application that had been previously developed using the Unity game engine. As part of the developments, the training flow is being redesigned, practice assessment features and exams are being added, and a warehouse environment is being created. On June 8, 2023, the logistics training module was effectively revised and retested. On the basis of the trial's evaluation, it was determined that efforts to prevent motion sickness had varying effects on trial participants. It was also discovered that participants viewed the assessment feature as beneficial, but that it remained difficult to access. On the basis of the assessment of the technology acceptance model (TAM), which was attended by six participants, an acceptance rate of 67.5% was obtained for the perceived simplicity of use and 78.33% was obtained for the perceived usefulness.

Item Type:	Article
Creators:	Istiono, Wirawan
Contributors:
Keywords:	Fisher Yates Shuffle, logistics, technology acceptance model, Unity, virtual reality
Subjects:	000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods > 006.8 Augmented Reality, Virtual Reality
Divisions:	Faculty of Engineering & Informatics > Informatics
Date Deposited:	09 Sep 2025 02:03
URI:	https://kc.umn.ac.id/id/eprint/40043

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