Evaluation of SIMPUS Implementation Using PIECES and HOT-Fit at Puskesmas Kotagede II

Authors

  • Nur Diza Wilya Poltekkes Yogyakarta Author
  • Nita Budiyanti Health Polytechnic of the Ministry of Health Yogyakarta Author
  • Arif Nugroho Triutomo Health Polytechnic of the Ministry of Health Yogyakarta Author
  • Anton Kristijono Health Polytechnic of the Ministry of Health Yogyakarta Author
  • Herlina Devi Prajawati Kotagede II Community Health Center Author

Keywords:

Evaluation, SIMPUS, PIECES, Hot-Fit, Puskesmas

Abstract

Objectives:

This study aimed to evaluate the implementation of the Community Health Center Management Information System (SIMPUS) at Puskesmas Kotagede II using the PIECES and HOT-Fit methods to identify the level of system implementation success and areas requiring improvement.

Methodology:

The study employed a quantitative descriptive design with a cross-sectional approach. Respondents consisted of 30 SIMPUS users selected using total sampling. Data were collected using a five-point Likert scale questionnaire that had been tested for validity and reliability. Analysis was performed descriptively using mean values for each PIECES and HOT-Fit aspect.

Results:

Evaluation results using the PIECES method showed an overall mean of 3.90 (Good category), with the highest score in the Information aspect (3.98) and the lowest in the Efficiency aspect (3.73). Evaluation using the HOT-Fit method yielded an overall mean of 3.93 (Good category), with the highest score in the Organization aspect (3.99) and the lowest in the Technology aspect (3.87).

Conclusion:

SIMPUS implementation at Puskesmas Kotagede II has been running well and has provided positive benefits to healthcare services. However, improvements are still needed in system feature integration, technology infrastructure stability, data security, and system alignment with users’ operational needs.

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Published

2026-08-12

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Section

Articles

How to Cite

Evaluation of SIMPUS Implementation Using PIECES and HOT-Fit at Puskesmas Kotagede II. (2026). Indonesian Journal of Health Informatics, 1(1), 21-30. https://quadrascience.id/ijhi/article/view/5

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