Abstract. Traditionally, resource allocation problem has been considered as one of the important issues in business process management to maintain the acceptable level of each activity completion time which can reduce the total completion time. Especially, the complexity of managing resources increases when the resource type is human because performance of each human resource might fluctuate over time due to various unpredicted factors. Hence, upfront planning of the resource allocation might be unsuitable in this matter. Therefore, this study proposes an on-the-fly resource allocation using Naïve Bayes to manage human resources more efficiently. The term on-the-fly here indicates that the resource allocation planning will be frequently updated and executed during the execution time by considering recent human resource performances. In this paper, we will show the proposed approach exceeds other resource allocation approaches in terms of total completion time.
This study developed a method for selection of available human resources for incomingjob allocation that considers factors affecting resource performance in the business process management (BPM) environment. For many years, resource selection has been treated as a very important issue in scheduling due to its direct influence on the speed and quality of task accomplishment. Even though traditional resource selection can work well in many situations, it might not be the best choice when dealing with human resources. Humanresource performance is easily affected by several factors such as workload, queue, working hours, inter-arrival time, and others. The resource-selection rule developed in the present study considers factors that affect human resource performance. We used a Bayesian Network (BN) to incorporate those factors into a single model, which we have called the Bayesian Selection Rule (BSR). Our simulation results show that the BSR can reduce waiting time, completion time and cycle time.
Purpose
This paper aims to address the urban mobility and traffic congestion problem under environmental dynamics to improve mobility and reduce traffic congestion using system dynamics (SD) simulation and scenarios.
Design/methodology/approach
SD simulation was used to analyze urban mobility and traffic congestion. Data were collected from the Transportation Department of Surabaya City. Several scenarios to improve urban mobility and reduce traffic congestion were developed by modifying the structures and parameters of the model.
Findings
Several factors influence urban mobility, including modal split, trip frequency, delay performance and the ratio of public transport supply and demand. Urban mobility, daily traffic and road capacity are some factors that affect traffic congestion. Scenarios can be designed based on the assumptions of the proposed strategy.
Research limitations/implications
The study was conducted at Surabaya City, East Java, Indonesia, which is the fourth most-congested city in the world.
Practical implications
By implementing several strategies (mass rapid transit and bus rapid transit development and public transport delay reduction), mobility performance is projected to be improved by 70.34-92.96%. With this increased mobility, traffic congestion is projected to decline by 52.5-65.8%.
Originality/value
The novel contributions of this research are: formulating relationships between several variables; modeling dynamic behavior of urban mobility and traffic congestion; and building scenario models to improve mobility and reduce traffic congestion in Surabaya. With the increase in urban mobility and the decrease in average daily traffic, traffic congestion could be reduced by a minimum of 57.6% and a maximum of 69%.
The development of technology today is very demanding of a teacher to be able to develop effective media in the learning process. Trigonometry learning is one of the courses in higher education that requires a virtual understanding of concepts. Therefore, it is very important to have fun virtual media through games in understanding the concept of Trigonometry. The purpose of this study was to determine the effectiveness of educational games based on VAR (Virtual Augmented Reality) in learning trigonometry in university. The research method uses the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). However, this article contains the implementation stages. The data analysis techniques of this research are the Normality Test, Homogeneity Test, T-test. From the results of the study, it can be concluded that learning trigonometry using educational games based on Virtual Augmented Reality meets the effective criteria because the experimental class learning outcomes are better than the control class and the results of the student response questionnaire to the VAR-based educational game media showed that the media was very effective in learning trigonometry in university.
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