Designing a Smart Prediction Model for Influence of the Infrastructure Completeness on Work Satisfaction

Sukhbir Singh, Ermi Girsang, Sri Lestari R. Nasution

Abstract

Based on Indonesian data, 47.1% of hospital permanent employees were found to be dissatisfied at work. Dissatisfaction can be caused by several factors such as internal, external or a combination of both. The external factors that highly suspected to cause work dissatisfaction were incomplete infrastructure facilities. The purpose of this study was to design a prediction model of the influence of the infrastructure completeness on work satisfaction from a population of 230 respondents with 70 samples (by stratified random sampling). Statistically, questionnaire data were analyzed using univariate, bivariate with chi-square tests, and multivariate with multiple logistic regression at a 95% confidence level (α = 0.05). Based on statistical test values, the prediction model was built using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. Of the six variables tested, found three variables (i.e., workspace, furniture / furniture, office equipment) that significantly influence the works satisfaction, p <0.05. The workspace variable was the most dominant which has an opportunity of 10.494 times higher to be satisfied with a poor workspace. Accuracy results of 98.7% towards the design of predictive models was achieved.

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Paper Citation


in Harvard Style

Singh S., Girsang E. and R. Nasution S. (2020). Designing a Smart Prediction Model for Influence of the Infrastructure Completeness on Work Satisfaction.In Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - Volume 1: HIMBEP, ISBN 978-989-758-500-5, pages 112-117. DOI: 10.5220/0010290401120117


in Bibtex Style

@conference{himbep20,
author={Sukhbir Singh and Ermi Girsang and Sri Lestari R. Nasution},
title={Designing a Smart Prediction Model for Influence of the Infrastructure Completeness on Work Satisfaction},
booktitle={Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - Volume 1: HIMBEP,},
year={2020},
pages={112-117},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010290401120117},
isbn={978-989-758-500-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Health Informatics, Medical, Biological Engineering, and Pharmaceutical - Volume 1: HIMBEP,
TI - Designing a Smart Prediction Model for Influence of the Infrastructure Completeness on Work Satisfaction
SN - 978-989-758-500-5
AU - Singh S.
AU - Girsang E.
AU - R. Nasution S.
PY - 2020
SP - 112
EP - 117
DO - 10.5220/0010290401120117