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Concept of Critical Patterns of HCI (Human Computer Interface) Medical Record Using Normal Pls and Distribution of Data

Author

Listed:
  • Puguh Yudho Trisnanto

    (Poltekkes Kemenkes Malang, Indonesia)

  • I Komang Suwita

    (Poltekkes Kemenkes Malang, Indonesia)

  • Bastianus Doddy Riyadi

    (Poltekkes Kemenkes Malang, Indonesia)

Abstract

Component of data information needs related to data type and character length of data will produce manual data input that helps the effectiveness of Human computer interfaces in interacting with other interfaces, this is indicated by the results of the critical path method analysis of Entity admin and the room where the critical path of the two Entities produces admin critical path = 9 and the critical path of the room produces value = 10 from both critical path values developed into direct relationship correlation by using m SmartPLS etode where latent admin predictor variables are directly connected with latent mediator variable room and produce correlation = 1.387 with strong correlation to mediator room, admin predictor correlation direct influence on creation patient = – 1,168 with weak correlation to creation patient, admin Ent shows normal data with value = 0.06> 0.05 and Ent room shows normal data with a value = 0.06> 0.05. The two test results help in the study of the length of data characters with manual data input functions and maintain data validity against character data lengths that do not meet the input requirements for HCI admin and room.

Suggested Citation

  • Puguh Yudho Trisnanto & I Komang Suwita & Bastianus Doddy Riyadi, 2025. "Concept of Critical Patterns of HCI (Human Computer Interface) Medical Record Using Normal Pls and Distribution of Data," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(6), pages 1568-1577, June.
  • Handle: RePEc:bjc:journl:v:12:y:2025:i:6:p:1568-1577
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    References listed on IDEAS

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    1. Monecke, Armin & Leisch, Friedrich, 2012. "semPLS: Structural Equation Modeling Using Partial Least Squares," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i03).
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