Tantangan Data Quality pada Pelaporan Penyakit Menular: Studi Kasus Pelayanan Publik Kesehatan di Indonesia

  • Darell Hendry Fakultas Ilmu Komputer, Universitas Indonesia
  • Fakhira Devina Fakultas Ilmu Komputer, Universitas Indonesia
  • Oristania Wahyu Nabasya Fakultas Ilmu Komputer, Universitas Indonesia
  • Yova Ruldeviyani Fakultas Ilmu Komputer, Universitas Indonesia


Data management in the process of reporting infectious diseases in public health services presents a significant challenge. The quality of the generated reports is crucial as they are utilized for various strategic decision-making purposes. However, the successful management of data quality depends on understanding the existing reporting processes and the challenges faced. This study aims to explore the main challenges encountered during the COVID-19 reporting process, using a case study of public health services, and to identify the processes occurring in the field. Recommendations for practitioners are also provided. This research employed interview methods and analyzed them using thematic analysis, following the standards of the Consolidated Criteria for Reporting Qualitative Research (COREQ). Interviews were conducted with experts from public health centers and health departments in Indonesia. The challenges identified from 124 codes encompass issues related to data accuracy, data consistency, data timeliness, and data completeness. Recommendations have been formulated based on data management body of knowledge and critical success factors related to data quality


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[1] Kementerian Kesehatan, “Rencana Aksi Kegiatan 2020-2024,” Kementeri. Kesehat. Repub. Indones., 2022.
[2] F. Javier, “Jumlah Kematian Pasien Covid-19 pada Maret 2022 Masih dalam Tren Meningkat,” Tempo. Accessed: Feb. 16, 2023. [Online]. Available: //data.tempo.co/data/1386/jumlah-kematian-pasien-covid-19-pada-maret-2022-masih-dalam-tren-meningkat
[3] “The unfinished agenda of communicable diseases among children and adolescents before the COVID-19 pandemic, 1990–2019: a systematic analysis of the Global Burden of Disease Study 2019,” The Lancet, vol. 402, no. 10398, pp. 313–335, Jul. 2023, doi: 10.1016/S0140-6736(23)00860-7.
[4] Kementerian Kesehatan, “Melalui INA - TIME 2022 Ke-4, Menkes Budi Minta 90% Penderita TBC Dapat Terdeteksi di Tahun 2024,” Melalui INA - TIME 2022 Ke-4, Menkes Budi Minta 90% Penderita TBC Dapat Terdeteksi di Tahun 2024. Accessed: Sep. 30, 2023. [Online]. Available: https://p2pm.kemkes.go.id/publikasi/berita/melalui-ina-time-2022-ke-4-menkes-budi-minta-90-penderita-tbc-dapat-terdeteksi-di-tahun-2024
[5] The Global Fund, “Home - The Global Fund to Fight AIDS, Tuberculosis and Malaria.” Accessed: Sep. 30, 2023. [Online]. Available: http://www.theglobalfund.org/en
[6] Kementerian Kesehatan, “Kasus Malaria di Indonesia Menurun, NTT Jadi Provinsi Pertama di Kawasan Timur Berhasil Eliminasi Malaria.” Accessed: Sep. 30, 2023. [Online]. Available: https://p2pm.kemkes.go.id/publikasi/berita/kasus-malaria-di-indonesia-menurun-ntt-jadi-provinsi-pertama-di-kawasan-timur-berhasil-eliminasi-malaria
[7] Kementerian Kesehatan, “Interoperabilitas Data Kesehatan,” Resource Center - Kementerian Kesehatan RI. Accessed: Sep. 30, 2023. [Online]. Available: https://rc.kemkes.go.id/id/interoperabilitas-data-kesehatan
[8] Kementerian Kesehatan, “Strategi Transformasi Digital Kesehatan 2024,” Kementeri. Kesehat. Repub. Indones., 2021, [Online]. Available: https://oss2.dto.kemkes.go.id/artikel-web-dto/Digital-Transformation-Strategy-2024.pdf
[9] J. Siswanto, A. A. Qalban, and S. N. Lahay, “Aplikasi Sistem Pakar Klasifikasi Kesehatan Lingkungan Permukiman Dengan Metode Certainty Factors,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 5, no. 2, pp. 103–112, Apr. 2023, doi: 10.47233/jteksis.v5i2.787.
[10] H. Shi et al., “Big data technology in infectious diseases modeling, simulation, and prediction after the COVID-19 outbreak,” Intell. Med., vol. 3, no. 2, pp. 85–96, May 2023, doi: 10.1016/j.imed.2023.01.002.
[11] K. Mersini et al., “COVID-19 Surveillance Enhanced by an Integrated Electronic Infectious Diseases Information System in Albania,” Int. J. Infect. Dis., vol. 116, p. S30, Mar. 2022, doi: 10.1016/j.ijid.2021.12.072.
[12] N. Y. Crepaldi, V. C. Lima, F. A. Bernardi, and D. Alves, “An information system for monitoring tuberculosis cases: implementation research protocol using RE-AIM for a health region in Brazil,” Procedia Comput. Sci., vol. 219, pp. 1128–1135, 2023, doi: 10.1016/j.procs.2023.01.393.
[13] H. Tilahun et al., “Drivers and Barriers to Improved Data Quality and Data-Use Practices: An Interpretative Qualitative Study in Addis Ababa, Ethiopia,” Glob. Health Sci. Pract., vol. 10, no. Supplement 1, p. e2100689, Sep. 2022, doi: 10.9745/GHSP-D-21-00689.
[14] N. K. Ibrahim, “Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications,” J. Infect. Public Health, vol. 13, no. 11, pp. 1630–1638, Nov. 2020, doi: 10.1016/j.jiph.2020.07.019.
[15] L. Boes et al., “Evaluation of the German surveillance system for hepatitis B regarding timeliness, data quality, and simplicity, from 2005 to 2014,” Public Health, vol. 180, pp. 141–148, Mar. 2020, doi: 10.1016/j.puhe.2019.11.012.
[16] K. M. I. Saeed, R. Bano, and R. J. Asghar, “Evaluation of the national tuberculosis surveillance system in Afghanistan,” East. Mediterr. Health J. Rev. Sante Mediterr. Orient. Al-Majallah Al-Sihhiyah Li-Sharq Al-Mutawassit, vol. 19, no. 2, pp. 200–207, Feb. 2013.
[17] “Improving immunization data quality in Peru and Mexico: Two case studies highlighting challenges and lessons learned,” Vaccine, vol. 36, no. 50, pp. 7674–7681, Nov. 2018, doi: 10.1016/j.vaccine.2018.10.083.
[18] K. Finnegan et al., “Barriers and Facilitators of Data Quality and Use in Malawi’s Health Information System,” Ann. Glob. Health, vol. 83, no. 1, p. 36, Apr. 2017, doi: 10.1016/j.aogh.2017.03.079.
[19] H. Chen, D. Hailey, N. Wang, and P. Yu, “A Review of Data Quality Assessment Methods for Public Health Information Systems,” Int. J. Environ. Res. Public. Health, vol. 11, no. 5, pp. 5170–5207, May 2014, doi: 10.3390/ijerph110505170.
[20] C. Keat-Chuan Ng, S. Linus-Lojikip, K. Mohamed, and A.-S. Hss, “Application of medical information system to identify dengue outbreak factors: Insights from a hyperendemic city in Malaysia,” Int. J. Med. Inf., vol. 177, p. 105162, Sep. 2023, doi: 10.1016/j.ijmedinf.2023.105162.
[21] Menteri Kesehatan Republik Indonesia, “Keputusan Menteri Kesehatan tentang Pedoman Pencegahan dan Pengendalian Corona Virus Disease 2019 (COVID-19).” 2020. Accessed: Mar. 01, 2022. [Online]. Available: https://peraturan.bpk.go.id/Home/Details/171647/keputusan-menkes-no-hk0107menkes4132020
[22] X. Zhang, L. Kuchinke, M. L. Woud, J. Velten, and J. Margraf, “Survey method matters: Online/offline questionnaires and face-to-face or telephone interviews differ,” Comput. Hum. Behav., vol. 71, pp. 172–180, Jun. 2017, doi: 10.1016/j.chb.2017.02.006.
[23] S. Earley, D. Henderson, and Data Management Association, Eds., DAMA-DMBOK: data management body of knowledge, 2nd edition. Basking Ridge, New Jersey: Technics Publications, 2017.
[24] A. E. Satriatama et al., “Analisis Klaster Data Pasien Diabetes untuk Identifikasi Pola dan Karakteristik Pasien,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 5, no. 3, pp. 172–182, Jul. 2023, doi: 10.47233/jteksis.v5i3.828.
[25] R. R. German, J. M. Horan, L. M. Lee, B. Milstein, and C. A. Pertowski, “Updated guidelines for evaluating public health surveillance systems; recommendations from the Guidelines Working Group,” Jul. 2001, [Online]. Available: https://stacks.cdc.gov/view/cdc/13376
[26] M. N. K. Saunders, P. Lewis, and A. Thornhill, Research methods for business students, Eighth Edition. New York: Pearson, 2019.
[27] V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qual. Res. Psychol., vol. 3, no. 2, pp. 77–101, Jan. 2006, doi: 10.1191/1478088706qp063oa.
[28] M. A. Almaiah, A. Al-Khasawneh, and A. Althunibat, “Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic,” Educ. Inf. Technol., vol. 25, no. 6, pp. 5261–5280, Nov. 2020, doi: 10.1007/s10639-020-10219-y.
[29] F. Ferri, P. Grifoni, and T. Guzzo, “Online Learning and Emergency Remote Teaching: Opportunities and Challenges in Emergency Situations,” Societies, vol. 10, no. 4, p. 86, Nov. 2020, doi: 10.3390/soc10040086.
[30] Q. Aini, M. Budiarto, P. O. H. Putra, and U. Rahardja, “Exploring E-learning Challenges During the Global COVID-19 Pandemic: A Review,” J. Sist. Inf., vol. 16, no. 2, pp. 57–65, Oct. 2020, doi: 10.21609/jsi.v16i2.1011.
[31] Q. Gan, R. Y. K. Lau, and J. Hong, “A critical review of blockchain applications to banking and finance: a qualitative thematic analysis approach,” Technol. Anal. Strateg. Manag., pp. 1–17, Sep. 2021, doi: 10.1080/09537325.2021.1979509.
[32] A. Berbekova, M. Uysal, and A. G. Assaf, “A thematic analysis of crisis management in tourism: A theoretical perspective,” Tour. Manag., vol. 86, p. 104342, Oct. 2021, doi: 10.1016/j.tourman.2021.104342.
[33] A. Sabani, H. Deng, and V. Thai, “Evaluating the Performance of E-Government in Indonesia: A Thematic Analysis,” in Proceedings of the 12th International Conference on Theory and Practice of Electronic Governance, in ICEGOV2019. New York, NY, USA: Association for Computing Machinery, Apr. 2019, pp. 435–440. doi: 10.1145/3326365.3326422.
[34] D. Yadav, “Criteria for Good Qualitative Research: A Comprehensive Review,” Asia-Pac. Educ. Res., vol. 31, no. 6, pp. 679–689, Dec. 2022, doi: 10.1007/s40299-021-00619-0.
[35] A. Kuusisto, K. Saranto, P. Korhonen, and E. Haavisto, “Quality of information transferred to palliative care,” J. Clin. Nurs., vol. 32, no. 13–14, pp. 3421–3433, Jul. 2023, doi: 10.1111/jocn.16453.
[36] A. Kabir, M. N. Karim, and B. Billah, “Health system challenges and opportunities in organizing non-communicable diseases services delivery at primary healthcare level in Bangladesh: A qualitative study,” Front. Public Health, vol. 10, p. 1015245, Nov. 2022, doi: 10.3389/fpubh.2022.1015245.
[37] A. Tong, P. Sainsbury, and J. Craig, “Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups,” Int. J. Qual. Health Care, vol. 19, no. 6, pp. 349–357, Sep. 2007, doi: 10.1093/intqhc/mzm042.
[38] B. C. O’Brien, I. B. Harris, T. J. Beckman, D. A. Reed, and D. A. Cook, “Standards for Reporting Qualitative Research: A Synthesis of Recommendations,” Acad. Med., vol. 89, no. 9, pp. 1245–1251, Sep. 2014, doi: 10.1097/ACM.0000000000000388.
[39] H. A. Long, D. P. French, and J. M. Brooks, “Optimising the value of the critical appraisal skills programme (CASP) tool for quality appraisal in qualitative evidence synthesis,” Res. Methods Med. Health Sci., vol. 1, no. 1, pp. 31–42, Sep. 2020, doi: 10.1177/2632084320947559.
[40] A. M. Epp and C. C. Otnes, “High-Quality Qualitative Research: Getting Into Gear,” J. Serv. Res., vol. 24, no. 2, pp. 163–167, May 2021, doi: 10.1177/1094670520961445.
[41] S. Ma’, N. A. mun, A. N. Hidayanto, A. S. Alwadain, D. I. Inan, and N. Paoprasert, “Educational data quality management: lessons learned from a public university in Indonesia,” Int. J. Innov. Learn., vol. 30, no. 2, p. 201, 2021, doi: 10.1504/IJIL.2021.117234.
[42] M. Laka, “The Role of Computer-based Clinical Decision Support Systems (CDSS) in Improving Antibiotic Management,” 2021.
[43] Menteri Kesehatan Republik Indonesia, “Peraturan Menteri Kesehatan Republik Indonesia Nomor 82 Tahun 2014 Tentang Penanggulangan Penyakit Menular.” 2014. [Online]. Available: https://infeksiemerging.kemkes.go.id/download/PERMENKES_82_2014_Penanggulangan_Penyakit_Menular.pdf
[44] M. Jufri and D. P. Caniago, “Perancangan Sistem Pakar Diagnosa Penyakit Otitis Menggunakan Metode Forward Chaining Dan Certainty Factor,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 4, no. 2, pp. 333–340, Jul. 2022, doi: 10.47233/jteksis.v4i2.510.
[45] C. for D. and R. Health, “At-Home COVID-19 Antigen Tests-Take Steps to Reduce Your Risk of False Negative Results: FDA Safety Communication,” FDA, Dec. 2022, Accessed: Sep. 17, 2023. [Online]. Available: https://www.fda.gov/medical-devices/safety-communications/home-covid-19-antigen-tests-take-steps-reduce-your-risk-false-negative-results-fda-safety
[46] H. Xu, “What Are the Most Important Factors for Accounting Information Quality and Their Impact on AIS Data Quality Outcomes?,” J. Data Inf. Qual., vol. 5, no. 4, pp. 1–22, Mar. 2015, doi: 10.1145/2700833.
How to Cite
Hendry, D., Devina, F., Nabasya, O., & Ruldeviyani, Y. (2024). Tantangan Data Quality pada Pelaporan Penyakit Menular: Studi Kasus Pelayanan Publik Kesehatan di Indonesia. Jurnal Teknologi Dan Sistem Informasi Bisnis, 6(2), 270-278. https://doi.org/10.47233/jteksis.v6i2.1215