• Sandi Justitia Putra STMIK Bumigora Mataram
  • Jian Budiarto STMIK Bumigora Mataram
  • Jihadil Qudsi STMIK Bumigora Mataram
Keywords: Decision support system, Illness diagnoses, SEMPLS, TAM


Decision Support System provides problem solving with semi structured and unstructured conditions. Decision Support System also has a role in the medical world, used in diagnosing diseases based on examination of patients. But often occurs less implementation due to the system interface interface that is not in accordance with the wishes of users. System interface interface tested there are 3 stages, namely anamnesis stage, physical examination stage, and examination. The choices given to the respondents are 3 interface design with various dialogue techniques for the anamnesis and physical examination phase ie Natural Language Process, Menu System and Filling Form and 2 interface design for supporting investigation ie Windowing System and Graphic Interaction. After the respondents made a choice on the questionnaire sheet, statistical tests were performed based on the Technology Acceptance Model. The result of the analysis shows the design according to the respondent's wishes on the decision support system to diagnose the disease at the anamnesis stage and physical examination stage is the design of the interface system with the filling form because of the larger R square model value at each stage of the interface design Natural Language Process and Menu System , while the supporting stage is the graphical interface interaction design on the graphical display, because of the larger R square model values ​​at each stage of the windowing system interface design.


[1] Turban, & Efraim. 2007. Decision Support and Expert System,Prentice Hall. New Jersey.
[2] Berner, E. S., Webster, G. D., Shugerman, A. A., Jackson, J. R., Algina, J., Baker, A. L., et al. 1994. Performance of Four Computer-Based Diagnostic Systems. The New England Journal of Medicine , 1792- 1796.
[3] Sittig, D., & Stead, W. 1994. Computer Based Physician Order Entry: The State of Art. Journal of the American Medical Informatics Association Volume 1 Number 2 , 108-121.
[4] Agustianti, W & Syafari, R. 2014. Pendekatan Technology Acceptance Model (TAM) Untuk Mengidentifikasi Pemanfaatan Internet Usaha Kecil dan Menengah Sumatera Selatan. Seminar Nasional Teknologi Informasi & Komunikasi Terapan 2014. Semarang.
[5] Sulistianingsih, N., Kusumadewi, S., & Kariyam. (2015). Analysis Of Dialogue Technique Acceptance Of Diagnosis Based Clinical Decision Support System. Jurnal Kursor , On Press.
[6] Kulkarni, M., Wadhaval, A., & Shinde, P. 2013. Decision Support System. International Journal of Engineering Trends and Technology, Vol. 4 , pp. 671- 674.
[7] Santosa, I. 2004. Interaksi Manusia dan Komputer: Teori dan Praktek. Yogyakarta: Penerbit Andi.
[8] Davis, F. D. 1989. Perceived Usefulness, Perceived Ease of Use, dan User Acceptance of Information Technology. MIS Quarterly, Vol. 13, No. 3 , pp. 319- 340.
[9] Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. 1989. User Acceptance of Computer Technologgy: A Comparison of Two Theoretical Models. Management Science (pp. 982-1003). U.S.A: The Institute od Management Science.
[10] Bradley, J. 2012. If We Build It They Will Come? The Technology Acceptance Model. In Y. K. Dwivedi, M. R. Wade, & S. L. Schneberger, Information System Theory Explaining and Predicting Our Digital Society, Vol. 1 (pp. 19-36). New York: Springer.
[11] Ferdinand, A.2002. Structural Equation Modelling Dalam Penelitian Manajemen.BP Undip.
[12] Hair, J.F., Black, W.C., Babin, B.J., dan Anderson, R.E. 2010. Multivariate Data Analysis, 7th edition. NJ: PearsonPrentice Hall.
[13] Yamin, S. dan Kurniawan, H., 2009, Structural Equation Modeling: Belajar Lebih Mudah Teknik Analisis Data Kuesioner dengan LISREL-PLS, Buku Seri Kedua, Jakarta: Salemba Infotek.
[14] Ghazali, G. 2006. Structural Equation Modeling: Metode Alternatif dengan Partial Least Square. Semarang: Badan Penerbit Universitas Diponegoro.
[15] Venkataraman, S. T., Han, Y. Y., Carcillo, J. A., Clark, R. S., Watson, R. S.,Nguyen, T. C., et al. 2005. Unexpected Increased Mortality After Implementation of A Commercially Sold Computerized Physician Order Entry System. Pediatrics .
How to Cite
S. Justitia Putra, J. Budiarto, and J. Qudsi, “ANALISIS RAGAM DIALOG DIAGNOSIS PENYAKIT BERBASIS SPK MODEL TAM DENGAN SEMPLS”, Jurnal Varian, vol. 1, no. 2, pp. 50-58, Apr. 2018.