Development of an Early Detection Tool for Pneumonia in Toddlers with Ari Program Respiratory Rate Timer Based on the Internet of Things

Authors

  • Yuni Nur Astuti Midwifery Study Program, Applied Master Program, Poltekkes Kemenkes Semarang, Semarang, Central Java, Indonesia
  • Marsum Marsum Midwifery Study Program, Applied Master Program, Poltekkes Kemenkes Semarang, Semarang, Central Java, Indonesia
  • Sri Sumarni Midwifery Study Program, Applied Master Program, Poltekkes Kemenkes Semarang, Semarang, Central Java, Indonesia

DOI:

https://doi.org/10.31965/infokes.Vol22.Iss1.1462

Keywords:

Pneumonia, ARI based on IoT, Respiratory Frequency, Oxygen Saturation

Abstract

Delays in establishing a diagnosis of pneumonia in toddlers can increase toddler morbidity and mortality. Early pneumonia detection tools are very necessary to be able to provide appropriate intervention. The objective is to develop an early-detection tool for pneumonia in toddlers using the ARI Programme Respiratory Rate Time based on the Internet of Things by calculating respiratory frequency and oxygen saturation. The research methods use Research and Development (R&D) was carried out on toddlers with cough complaints in the working area of the Grogol Health Center, Sukoharjo Regency from December 2023 to January 2024. The sample consisted of 100 toddlers who were selected using consecutive sampling. The dependent variables are respiratory frequency and oxygen saturation. The independent variables are ARI based on IoT, ARI Timer, and pulse oximeter. Other data is collected through observation sheets. Data were analyzed using independent t-test analysis using the SPSS version 26. The results of the validation test assessment by 6 experts obtained a total average score of 95.48% with very valid assessment criteria, which means the tool is suitable for use. The results of the Independent T-Test show that there is no difference between IoT-based ARI (Mean=39.28; SD=9.05) and Timer ARI (Mean±SD= 39.29±9.07), this result is not statistically significant (p=0.994) and does not exist. the difference between IoT-based ARI (Mean±SD= 94.90±2.55) and pulse oximeter (Mean±SD= 95.15±2.61), this result is not statistically significant (p=0.494). The conclusion is an ARI Programme Respiratory Rate Timer based on the Internet of Things tool can be developed for the early detection of pneumonia in toddlers and is suitable for use to determine the respiratory frequency and oxygen saturation in toddlers.

Downloads

Download data is not yet available.

References

Abdjul, R.L., & Herlina, S. (2020). Asuhan Keperawatan Pada Pasien Dewasa Dengan Pneumonia : Study Kasus. Jurnal Keperawatan, 2(2), 102–107. https://doi.org/10.52021/ijhd.v2i2.40

Afriani, B., & Oktavia, L. (2021). Faktor Risiko Kejadian Pneumonia Pada Bayi. Babul Ilmi Jurnal Ilmiah Multi Science Kesehatan, 13(2), 26–38. https://doi.org/10.36729/bi.v13i2.895

Arani, L. A., Sadoughi, F., & Langarizadeh, M. (2019). An expert system to diagnose pneumonia using fuzzy logic. Acta Informatica Medica, 27(2), 103–107. https://doi.org/10.5455/aim.2019.27.103-107

Aryani, M. P. (2017). Hubungan Antara Karakteristik Petugas, Ketersediaan Logistik dan Kegiatan Pengendalian ISPA dengan Cakupan Penemuan Pneumonia pada Balita di Kabupaten Banyuwangi Tahun 2017. Universitas Jember.

Cahyanto, H. N., Zulkarnain, O., & Farida, D. (2023). Pengembangan Deteksi Dini Dan Penanganan Pneumonia Menggunakan Expert System Berbasis Web. 4, 5182–5187.

Dinas Kesehatan Kabupaten Sukoharjo. (2020). Profil Kesehatan Kabupaten Sukoharjo 2019. Kabupaten Sukoharjo.

Dinas Kesehatan Provinsi Jawa Tengah. (2022). Profil Kesehatan Provinsi Jawa Tengah 2021. Semarang.

Efendi, Y. (2018). Internet of Things (IOT) sistem pengendalian lampu menggunakan Raspberry PI berbasis mobile. Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar, 4(2), 21-27. https://doi.org/35329/jiik.v4i2.41

Fatimah F. (2022). Analisis Ekspresi MRNA Gen NRAMP-1, Kadar Protein NRAMP-1 Serum, Protein SIgA dan Kadar Lactoferrin Pada Balita ISPA dengan Riwayar Pemberian ASI. Universitas Hasanuddin.

Hakim N, F. (2023). Peningkatan Pengetahuan Mengenali Tanda Kegawatan Penumonia dan Penanganannya Pada Anak Setelah dilakukan Penyuluhan Kesehatan. SIDIGMAS : Publikasi Kegiatan Pengabdian Masyarakat, 01(01), 35–40.

Handoko, M. R., & Neneng, N. (2021). Sistem Pakar Diagnosa Penyakit Selama Kehamilan Menggunakan Metode Naive Bayes Berbasis Web. Jurnal Teknologi Dan Sistem Informasi, 2(1), 50-58.

Harahap, A. I., Priyatna, R. D., Figna, H. P., & Rambe, N. (2023). Aplikasi Cerdas Terintegrasi dalam Mendiagnosa Penyakit ISPA Pneumonia Pada Balita Menggunakan Algoritma Neural Network Backprogation di Kabupaten Langkat. G-Tech : Jurnal Teknologi, 7(4), 1703–1712.

Karlen W, Gan H, C. M. (2014). The Accurary and Efficiency of Respiratory Rate Measurements in Children Using Mobile Devices. PloS One, 9(6), 1–9. https://doi.org/10.1371/journal.pone.0099266

Kementerian Kesehatan RI. (2022). Profil Kesehatan Indonesia 2021. Jakarta.

Kumar, S., Tiwari, P., & Zymbler, M. (2019). Internet of Things is A Revolutionary Approach for Future Technology Enhancement: A Review. Journal of Big Data, 6(111), 1–21. https://doi.org/10.1186/s40537-019-0268-2

Kurniawan, C., Sutiningsih, D., & Martini, M. (2023). Sistem Aplikasi Berbasis Website dalam Deteksi Dini dan Edukasi Pneumonia. Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal, 13(2), 507-518. https://doi.org/10.32583/pskm.v13I2.928

Lutfah, F. F., & Heryawan. (2017). Karakteristik Petugas dengan Cakupan Pneumonia Pada Balita. Jurnal Oksitosin Kebidanan, 4(1), 56–66.

Naufal, F., & Rifa’i, A. Z. F. (2021). Smartphone Pulse Oximeter: Solusi Deteksi Dini Happy Hypoxia. JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia, 8(3), 189–194. https://doi.org/10.53366/jimki.v8i3.244

Pemerintahan Kabupaten Sukoharjo. (2022). Rencana Penanggulangan Kemiskinan Daerah Tahun 2022-2026. Pemerintahan Kabupaten Sukoharjo.

Prabawa, H. E. (2016). Faktor-Faktor yang Berhubungan dengan Praktik Penemuan Pneumonia Balita Oleh Bidan (Universitas Negeri Semarang). Universitas Negeri Semarang. https://doi.org/10.15294/ujph.v6i3.11901

Ranjan, P., Rao, R. S., Kumar, K., & Sharma, P. (2023). Wireless Communications and Networking Technologies: Classifications, Advancement and Applications. New York: CRC Press.

Riyanto, A., & Megasari, M. (2021). Pneumonia pada Balita Tidak Diberikan ASI Eksklusif dan Imunisasi DPT-HB-HIB. Jurnal Ilmu Kesehatan, 5(2), 197–202. https://doi.org/10.33757/jik.v5i2.420

Sa’diyah, H., Supriyatna, R., Kasih, B. A. T., Ananda, D. E., Kusumaningrum, M., Pangestu, R., & Sarwendah, S. (2022). Fasilitasi Deteksi Dini Pneumonia Pada Balita Dengan Menggunakan Media Aplikasi Sebar Pesona (Selamatkan Balita Dari Pneumonia) Di Kota Depok. Jurnal Pengabdian Masyarakat Indonesia Maju, 3(01), 1–9. https://doi.org/10.33221/jpmim.v3i01.1712

Sari, M. P., & Cahyati, W. H. (2019). Tren Pneumonia Balita di Kota Semarang Tahun 2012-2018. Higeia Journal of Public Health Reseach and Development, 3(3), 407–416.

Setyoningrum, R. A., & Mustiko, H. (2020). Faktor Resiko Kejadian Pneumonia Sangat Berat Pada Anak. Jurnal Respirologi Indonesia, 40(4), 243–250.

Siregar, A. A. (2018). Analisis Kemampuan Petugas ISPA dalam Penemuan Kasus Pneumonia Balita di Puskesmas Kota Medan Tahun 2018. Institut Kesehatan Helvetia Medan.

Siregar AA, Nugraha T, S. A. (2020). Analisis Kemampuan Petugas ISPA Dalam Penemuan Kasus Pneumonia Balita. Journal of Health (JoH), 7(1), 1–6.

Sudrajat, T. (2020). Pencegahan dan Perlindungan Pneumonia Pada Anak. In Save the Children. Jakarta: Save the Children.

Wijayanti, F., Purwaningsih, H., & Trimawati. (2019). Pedoman Screening Pneumonia dan Diare Berdasar MTBS. In Ristekdikti. Jakarta: Direktorat Riset dan Pengabdian Masyarakat, Direktorat Jenderal Penguatan Riset dan Pengembangan Kementerian Riset, Teknologi, dan Pendidikan Tinggi Republik Indonesia.

Winarsih, W., Ikrawati, W., & Handayani, F. (2023). Hubungan Pengetahuan Ibu dengan Kejadian Pneumonia pada Balita. Jurnal Samodra Ilmu Cendekia, 14(1), 1–4.

Downloads

Published

2024-03-31

How to Cite

Astuti, Y. N., Marsum, M., & Sumarni, S. (2024). Development of an Early Detection Tool for Pneumonia in Toddlers with Ari Program Respiratory Rate Timer Based on the Internet of Things . JURNAL INFO KESEHATAN, 22(1), 155–167. https://doi.org/10.31965/infokes.Vol22.Iss1.1462

Issue

Section

Original Articles

Similar Articles

<< < 6 7 8 9 10 11 12 13 > >> 

You may also start an advanced similarity search for this article.