Jurnal Ilmiah Kursor
Vol 8 No 1 (2015)

ANALYSIS OF DIALOGUE TECHNIQUE ACCEPTANCE OF DIAGNOSIS BASED CLINICAL DECISION SUPPORT SYSTEM

Sulistianingsih N. (Master of Informatics Engineering, Faculty of Industry Technology, Islamic University of Indonesia)
Kusumadewi S. (Master of Informatics Engineering, Faculty of Industry Technology, Islamic University of Indonesia)
Kariyam Kariyam (Department of Statistics, Faculty of Mathematics and Science, Islamic University of Indonesia)



Article Info

Publish Date
03 Jul 2015

Abstract

Many decision support systems have been developed to diagnose diseases, but in reality many of these systems fail when applied. This is mainly due to the difficulties in the use of the system due to incompatibility between the system interface and the wishes of physicians. The purpose of this study was to determine the interface design of decision support systems for diseases diagnose in accordance with physician’s wishes and to determine the effects of perceived usefulness and perceived ease of use on the behavioral intention to use the interface design. The data analysis technique used included the Wilcoxon test, the Friedman test, a principal component analysis and a multiple linear regression analysis. From the data analysis it was found that in anamneses and physical examinations, respondents prefer the interface design of natural language processing and a form filling dialogue, whereas in supported examinations, respondents prefer windowing system interface designs. Advanced data analyses found an influence of the variables of perceived usefulness and perceived ease of use on the behavioral intention to use and this influence has a positive effect.

Copyrights © 2015






Journal Info

Abbrev

kursor

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management

Description

Jurnal Ilmiah Kursor is published in January 2005 and has been accreditated by the Directorate General of Higher Education in 2010, 2014, 2019, and until now. Jurnal Ilmiah Kursor seeks to publish original scholarly articles related (but are not limited) to: Computer Science. Computational ...