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Cyclomatic Complexity Test Design Flowgraph Registration of Emergency Installation Patients in Wava Husada Hospital Using SEM

Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 8)

Publication Date:

Authors : ; ; ;

Page : 1983-1987

Keywords : Cyclomatic Complexity; test case; SOP; SEM; Flowgraph matrix; node; relation weight; Flowmap; Data Flow Average;

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Abstract

Cyclomatic Complexity Test Result and Probability of Improvement of Patient Registration of IGD in Wava Husada Hospital [1]. Patient Registration Flowmap 21 cc IGD generate value to the type of procedure that is complex and critical, high-risk level system, with a probability value improvement of 20%, improvement in the level of risk higher recommended. [2]. Flowmap Medical Examination Unit 9 cc generate value to the type of procedure that tersetrukutr and stable, low-risk level system, with a probability value improvement of 5%, the risk level that's recommended repairs easier, [3]. Flowmap Unit Billing produces 3 cc values with simple procedure type, low system risk level, with a probability value of 5% improvement, the recommended risk level is easy. Total value of cc produced 33 cc with complex and critical procedure with high risk level, and probability value of improvement yielded 40% with recommendation of improvement of complex system. [1]. Patient Registration Flowmap 21 cc IGD generate value to the type of procedure that is complex and critical, high-risk level system, with a probability value improvement of 20%, improvement in the level of risk higher recommended. Being a system improvement process that must be done using Model Reflective improvement SEM test, to determine the inter-relationship with the node node and a probability value of the node system improvements that are fixed with reflective construct models. Therefore there is no problem of convergent validity on the model we tested, discriminant latent exogenous cc (0.693) and latent endogenous ? (0481) of the results can be seen that the system Flowgraph Registration of patients IGD RSU Wava husada have a level of discriminant strong (0.693) against latent Endogenous Probability of R? improvement (0.481)

Last modified: 2021-06-30 19:52:24