Main Article Content


Posbindu PTM (integrated non-communicable disease fostered post) is a form of community participation in early detection, monitoring and early follow-up of PTM risk factors independently and continuously. The target of this program is aimed at all healthy and at-risk communities aged 15 years and over. This PTM Posbindu activity is held once a month. For Rokan IV Koto sub-district there are 10 Posbindu PTMs. After conducting the survey, the management of Puskesmas Rokan IV Koto has managed patient data using excel as a source of annual performance reporting. However, management Puskesmas Rokan IV Koto had difficulty getting information from patient data in accordance with the management's wishes. What the management of Puskesmas Rokan IV Koto wants is to know the distribution pattern of PTM, patients and patients at risk of PTM. The design of this system uses tools including: Framework CodeIgniter, PHP as a programming language and MySQL as a DBMS. This system is tested using black box testing and user acceptance test (UAT). Based on the user acceptance test (UAT) that has been carried out, it shows that 88% of the system that has been built has been accepted by the user and black box testing shows that the function has been running 100%. The benefit of this business intelligence system is that it is able to assist the head of the puskesmas in making decisions.
Keywords: Puskesmas Rokan IV Koto, Patient Data, Business Intelligence, MySQL, PHP


Puskesmas Rokan Data Pasien Business Intelligence Metode Kimball

Article Details

How to Cite
Nurmalasari, D. ., & Nurzikriah, N. (2021). Implementasi business intelligence dashboard untuk visualisasi data pasien posbindu ptm binaan uptd puskesmas kecamatan . Jurnal Komputer Terapan, 7(2), 174–183.


  1. Akbar, R., Oktaviani, R., Tamimi, S., Rahmadani, T. W., & Shavira, S. (2017).
  2. Implementasi Business Intelligence untuk menentukan tingkat kepopuleran jurusan
  3. pada universitas,
  4. Connolly, T., & Begg, C. (2010) Database System A Practical Approach to Design,
  5. Implementation, and Management Fifth Edition. Botson:Pearson Education.
  6. D'izzania, M. (2018). Implementasi Bussiness Intelligence Dashboard Untuk
  7. Visualisasi Data Pasien Pada Puskesmas Kecamatan (Studi Kasus: Puskesmas Tapung
  8. Perawatan, Kec. Tapung, Kab.Kampar.
  9. Eckerson, W. (2006). Performance dashboards: measuring, monitoring, and managing
  10. your business. John Wiley & Sons, Inc.
  11. Efraim, T., E, A. J., Ting-Peng, L., & V, M. R. (2010). Decision Support Sistem and
  12. Inteligent Sistem (Sistem Pendukung Keputusan dan Sistem Cerdas). Yogyakarta:
  13. ANDI.
  14. Hariyanti, E., Werdiningsih, I., & Surendro, K. (2011). “Model Pengembangan
  15. Dashboard Untuk Monitoring Dan Evaluasi Kenerja Perguruan Tinggi. JUTI: Jurnal
  16. Ilmiah Teknologi Informasi.
  17. Myers, G. J. (2004). The Art of Software Testing (2nded.). USA: John Wiley &
  18. Sons,Inc. Parmenter, D. (2010). Key Performance Indicators: Developing,
  19. Implementing, and Using Winning KPIs. Canada: John Wiley & Parmenter,
  20. D. (2010).
  21. Putri, A. (2019). Pengembangan Sistem Business Intelligence UntukAnalisis Pola Dan
  22. Monitoring Kinerja Pelaksanaan Pekerjaan (Studi Kasus: PT.Wahanakarsa Swandiri).
  23. Kusnawi. (2011). Tinjauan Umum Metode Pendekatan Dashboard Pada Proses
  24. Business Intelligence. Jurnal Dasi, Vol. 12 No. 2 Juni 2011, ISSN: 1411-3201.
  25. Lubis, G. A., & Bunga, M. S. (2017). Implementasi System Business Intelligence
  26. Terhadap Rekap Nilai Perkuliahan Menggunakan Metode Online Analitycal Processing
  27. (OLAP).
  28. Rahajeng, E. (2007). Posbindu PTM