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Sri Sumarni
Departement Of Midwifery Semarang, Poltekkes Kemenkes Semarang
Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Other

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Development of an Early Detection Tool for Pneumonia in Toddlers with Ari Program Respiratory Rate Timer Based on the Internet of Things Yuni Nur Astuti; Marsum Marsum; Sri Sumarni
JURNAL INFO KESEHATAN Vol 22 No 1 (2024): JURNAL INFO KESEHATAN
Publisher : Research and Community Service Unit, Politeknik Kesehatan Kemenkes Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31965/infokes.Vol22.Iss1.1462

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.
Co-Authors Agustin Setianingsih Agustin Setianingsih Ahmaniyah Ahmaniyah Andriana Andriana Anida Izatul Islami Annie Cristyana Purba Anuhgera, Diah Evawanna Ari Suwondo Arum Lusiana Asma' Nurbaiti Ayuningtyas Ayuningtyas Aziyah Aziyah Bambang Sutomo Cakrawati.R Cakrawati.R Difa Nadila Utami Djamaluddin Ramlan Edy Susanto Elisda Fitriyani Endah Aryati Ekoningtyas Endri Astuti Erna Widyastuti Farida Sukowati Farida Sukowati Fatkhus Solikhati Fina Nurul Azizah Happy Ika Fatmawati Heni Pujiastuti Hilma Triana Ika Purnama Sari Intan Nugraheni Hasanah Irmawati, Irmawati Ismah Khaeunisa Karimah, Nahdiyah Krisdianan Wijayanti Listyaning Eko Martanti Mardiyono, Mardiyono Marsum Marsum Maya Erisna Melyana Nurul Widyawati Merisa Restiani Arma Merisa Restiani Arma Mufti Agung Wibowo Ngadiyono Ngadiyono Reni Hariyanti Reni Hariyanti Ridanna Hartateana Rozikhan Rozikhan Runjati Sri Endang Windiarti Sri Rahayu Sudiyono Sudiyono Suharyo Hadisaputro Sunarto Supriyadi Supriyana Suryati Kumorowulan Ta'adi Ta'adi Tjahjono Kuncoro Umaroh Umaroh Windha Mellynia Yayan Hartika Yuni Nur Astuti Yunisra Ikasari