Development of Website-Based Tool for Nursing Data Analysis

English

  • Hasby Pri Choiruna Laboratorium Dasar Keperawatan dan Keperawatan Dasar, Jurusan Keperawatan FIKes, Universitas Jenderal Soedirman Purwokerto
  • Indah Setiawati Fakultas Pertanian, Universitas Jenderal Soedirman Purwokerto
  • Indra Herdiana Fakultas MIPA, Universitas Jenderal Soedirman Purwokerto
  • Irnanda Naufal Riandi Mahasiswa Pendidikan Profesi Ners, Jurusan Keperawatan FIKes Universitas Jenderal Soedirman Purwokerto
  • Indah Ramadhan Laboratorium Keperawatan Jiwa, Jurusan Keperawatan FIKes, Universitas Jenderal Soedirman Purwokerto

Abstract

Background. Historically, nursing data analysis has relied on manual processes guided by individual experience and the Indonesian Nursing Diagnosis Standards (SDKI). This approach often leads to incomplete diagnoses and inefficient validation times. While Hospital Management Information Systems (SIMRS) are currently used for documentation, they lack integrated tools for early-stage diagnostic analysis. Consequently, there is a critical need for online analytical tools that can streamline the application of SDKI standards.


Methods. The primary objective of this study is to develop a website-based platform designed to automate the analysis of nursing data. The design of this study is the waterfall method which consists of communication, planning, modeling, construction, and deployment.


Results. Findings indicate that the developed website-based platform for nursing data analysis is accessible through the following primary URLs: https://ns.ramut.my.id/layanan/ramut-nursing-data-analysis-rnda or alternative link: https://rnda.ramut.my.id.


Conclusion. This website-based tool provides nurses with flexible access to data analysis capabilities, facilitating more efficient and accurate identification of nursing problems in adherence to the Indonesian Nursing Diagnosis Standards (SDKI).

References

Akhu-Zaheya, L., Al-Maaitah, R. and Bany Hani, S. 2018. “Quality of nursing documentation: Paper-based health records versus electronic-based health records,” J. Clin. Nurs., vol. 27, no. 3–4, pp. e578–e589, doi: 10.1111/jocn.14097.
Baraki, Z., Girmay, F., Kidanu, K., Gerensea, H., Gezehgne, D. and Teklay, H. 2017. “A cross sectional study on nursing process implementation and associated factors among nurses working in selected hospitals of Central and Northwest zones, Tigray Region, Ethiopia,” BMC Nurs., vol. 16, no. 1, pp. 1–9, Sep. 2017, doi: 10.1186/S12912-017-0248-9/TABLES/4.
Bittencourt G.K.G.D. and Crossetti, M.da G.O. 2013. “[Critical thinking skills in the nursing diagnosis process],” Rev. Esc. Enferm. USP., vol. 47, no. 2, pp. 337–343, doi: 10.1590/S0080-62342013000200010.
Hariyati, R.T.S., Handiyani, H., Rahman, L.A. and Afriani, T. 2021. “Description and Validation of Nursing Diagnosis Using Electronic Documentation: Study Cases in Mother and Child Hospital Indonesia,” Open Nurs. J., vol. 14, no. 1, pp. 300–308, doi: 10.2174/1874434 602014010300.
Lima, J.J.de., Vieira, L.G.D. and Nunes, M.M. 2018. “Computerized nursing process: development of a mobile technology for use with neonates,” Rev. Bras. Enferm., vol. 71, no. suppl 3, pp. 1273–1280, doi: 10.1590/0034-7167-2017-0267.
Lubis, S., Tumanggor, R.D. and Mntlhtlh, M. 2020. “The Nurses’ Nursing Diagnosis Identification in Public Hospital, Indonesia,” Indian J. Public Heal. Res. Dev., vol. 11, no. 05, pp. 856–860, doi: 10.37506/ijphrd.v11i5.9448.
Nurjannah, I., Warsini, S. 2016. Validity and reliability of end-user computing satisfaction in Indonesian language to measure digital nursing assessment tool. AIP Conf. Proc. 21 July 2016: 1755 (1): 070001. https://doi.org/10.1063/1.4958496.
Suarni, L., Nurjannah, I. and Apriyani, H. 2015. “Nursing and collaborative diagnoses on perioperative patients with and without using six steps of diagnostic reasoning methods,” Int J Res Med Sci, vol. 3, no. 1, pp. 97–103.
Wong, T.K.S. and Chung, J.W.Y. 2002. “Diagnostic reasoning processes using patient simulation in different learning environments,” J. Clin. Nurs., vol. 11, no. 1, pp. 65–72, Jan. 2002, doi: 10.1046/J.1365-2702.2002.00580.X.
Doenges, M.E., Moorhouse, M.F. 2012. Application of nursing process and nursing diagnosis: an interactive text for diagnostic reasoning. F.A. Davis Company. Philadelphia.
Herdman, T.H.,Kamitsuru, S. 2014. Eds., NANDA International Nursing Diagnoses: Definitions & Classification, 2015-2017. Wiley Blackwell. Oxford.
Herdman, T.H., Kamitsuru, S. 2018. Eds., NANDA International, Inc. Nursing Diagnoses: Definitions & Classification, 2018-2020. Thieme. New York.
Nurjannah, I. 2012. ISDA Intan’s Screening Diagnoses Assessment. Moco Media. Yogyakarta.
NEDU Jurusan Keperawatan. 2021. Dokumen Kurikulum Program Studi Ners. Fakultas Ilmu-ilmu Kesehatan Universitas Jenderal Soedirman. Purwokerto.
PPNI. 2016. Standar Diagnosis Keperawatan Indonesia: Definisi dan Indikator Diagnostik, 1st ed. DPP PPNI. Jakarta.
Pressman, R.S. 2015. Rekayasa Perangkat Lunak: Pendekatan Praktisi. ANDI. Yogyakarta.
Choiruna, H.P., Ramadhan, I. 2022. Ramut Nursing Data Analysis (RNDA). https://ns.ramut.my.id/ layanan/ramut-nursing-data-analysis-rnda.
https://docs.google.com/spreadsheets
https://script.google.com
https://sites.google.com
Nurjannah, I. 2013. Using ISDA (Intan’s Screening Diagnoses Assessment) in the Process of Diagnostic Reasoning in Nursing. ResearchGate
Published
2025-01-31
How to Cite
CHOIRUNA, Hasby Pri et al. Development of Website-Based Tool for Nursing Data Analysis. Journal of Bionursing, [S.l.], v. 7, n. 1, p. 29-35, jan. 2025. ISSN 2685-6484. Available at: <https://jos.unsoed.ac.id/index.php/job/article/view/15408>. Date accessed: 08 mar. 2026. doi: https://doi.org/10.20884/1.job.2025.7.1.15408.