Event logs are records of events that are generally used in process mining to determine the manner in which various processes are practically implemented. Previous studies on process mining attempted to combine the results based on different perspectives such as control flow, data, performance, and resources (organizational) to create a simulation model. This study focuses on the resource perspective. A prior study from the resource perspective focused on clustering the resources into organizational units. Implementing the results of the above study in a simulation model will yield inaccurate results because the resources are assumed to always be available if no task is performed. In a practical scenario, resources (particularly humans) tend to work based on shifts. Thus, we propose mining the shift work operation of resources from event logs to tackle this issue. We utilized a self-organizing map and k-means clustering to incorporate the shift work information from the event logs into the simulation model. Moreover, we introduce a distance function and weight-centroid updating rule in the clustering technique to realize our objective. We conducted extensive experiments with artificial data sets to assess the effectiveness of the proposed method. The simulation shows that introducing the shift work operation time of resources can yield more accurate results. Furthermore, the proposed distance function can capture the shift work operation of the resources more precisely compared with the general distance function.
The invention of Augmented Reality (AR) has provided a platform for individuals to see virtual and real objects simultaneously in a real-life setting. As compared to other technologies being implemented in education setting, it may contribute a new method to educate. This study investigated the possible effect of AR technology on students' spatial visualization ability. AR-Science Magic Book Learning System (AR-SMB) is a learning tool based on the AR technology which was developed in this study to facilitate students in learning science concept, hence enhancing their spatial visualization ability. The type of data collection methodology used is the quantitative approach in which pre-test and post-test design were implemented and the participant comprised of 34 fifth-grade students. According to the results, it was found that the scores of the Mental Rotation Test (MRT) posttest were significantly greater than the pre-test, thus AR technology can be considered to be beneficial in enhancing students' spatial visualization ability. There is a huge difference in terms of the scores of MRT between the pre-test and post-test which concludes that the treatment given can significantly improve and contribute towards their spatial visualization ability. The findings of this research enable the educators to incorporate AR learning into their teaching process in order for students to understand the rotation and transformation of objects that are related to each other. As a result, this study has shown a significant implication for the understanding of AR's effect in enhancing spatial visualization ability among primary school students.
The development of quality information systems has become one of the important strategies in increasing business competitiveness and increasing the added value of products and services. Information systems as a service require a process of continuous improvement. The continuous improvement includes the process of getting feedback for the system’s continuity and then making improvements based on that feedback. Not much research has applied the information system control process based on ISO 20000-1: 2018. This research tries to propose this.
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