Web-Based Nursing Practice Recommendation Letter Application System

Authors

  • Petra Paulferistho STIKOM Uyelindo Kupang
  • Menhya Snae STIKOM Uyelindo Kupang
  • Natalino Martins STIKOM UYELINDO Kupang

DOI:

https://doi.org/10.59934/jaiea.v5i1.1759

Keywords:

Administrative efficiency, digital signature, information system, nursing practice, recommendation letter.

Abstract

In the digital era, the demand for efficiency and security in administrative services is increasing, particularly in the healthcare sector. One of the challenges faced is the manual process of applying for nursing practice recommendation letters, which often leads to delays, lack of transparency, and the risk of document loss. This study aims to design a web-based information system equipped with a digital signature to simplify the process for nurses to apply for recommendation letters online. The development method used is the waterfall model, which includes the stages of requirement analysis, system design, implementation, and testing planning. This system is expected to streamline administrative processes, enhance document authenticity through digital signatures, and provide a more efficient service experience for nurses. The study will focus on DPD PPNI Sabu Raijua Regency as the case study location.

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References

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BPS, Information and Communication Technology Development Index 2021, Publication No. 06300.2214, Catalog: 8305012, Jakarta: Statistics Indonesia, 2021.

S. Nurhayati, “Effectiveness of Digital Systems in Health Education Administration,” Indonesian Journal of Health Management, vol. 9, no. 2, pp. 112–120, 2021.

A. Rahman, R. Hidayat, and M. Lestari, “Implementation of Web-Based Information Systems for Administrative Efficiency in Educational and Health Institutions,” Journal of Information Systems and Health Management, vol. 14, no. 1, pp. 33–42, 2022.

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Published

2025-10-15

How to Cite

Petra Paulferistho, Menhya Snae, & Martins, N. (2025). Web-Based Nursing Practice Recommendation Letter Application System. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 5(1), 1939–1949. https://doi.org/10.59934/jaiea.v5i1.1759