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All Journal Jurnal Keperawatan Jiwa (JKJ): Persatuan Perawat Nasional Indonesia JURNAL PENDIDIKAN KEPERAWATAN INDONESIA UNEJ e-Proceeding Panrita Abdi - Jurnal Pengabdian pada Masyarakat Jurnal Ilmu Kesehatan Journal of Nursing Care and Biomolecular Holistik Jurnal Kesehatan Care : Jurnal Ilmiah Ilmu Kesehatan Jurnal Ilmiah Keperawatan JAIM (Jurnal Abdi Masyarakat) Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Peduli Masyarakat Nursing Sciences Journal Journal of Soft Computing Exploration Well Being Jurnal Gema Keperawatan Jurnal Keperawatan Florence Nightingale Jurnal Ilmiah STIKES Yarsi Mataram Jurnal Lentera Gaster Jurnal Mahasiswa Kesehatan International Journal of Patient Safety and Quality Strada Jurnal Ilmiah Kesehatan (SJIK)
Sulistyoning Suharto, Idola Perdana
Fakultas Ilmu Kesehatan Universitas Kadiri
Humanities Computer Science & IT Dentistry Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Journal : Journal of Soft Computing Exploration

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Design of smart baby incubator for low-birth-weight newborns Pradana, Dio Alif; Mukhammad, Yanuar; Suharto, Idola Perdana Sulistyoning; Setiawan, Fachruddin Ari
Journal of Soft Computing Exploration Vol. 5 No. 4 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i4.494

Abstract

The newborns mortality rate in Indonesia is still quite high, indicated by the neonatal mortality rate (AKN) of 15 per 1000 Live Births, where the target is only below 10 per 1000 Live Births. This mortality rate can be caused by Low-Birth-Weight (BBLR) cases that leads to death. One form of handling for these cases is using a Baby Incubator for intensive cares, which requires monitoring manually and requires the presence of a nurse around the baby incubator so that the condition of the baby incubator room remains stable. Several studies have been conducted and produced a smart incubator system to address these shortcomings. However, most of the smart incubators only focused on monitoring the condition of the incubator room without observing the condition of the baby inside. Based on this, a study was conducted that focused to producing a smart baby incubator that is capable of real-time monitoring of of room conditions (temperature, humidity, and oxygen levels) and baby conditions (temperature, heart rate, oxygen saturation, baby crying, and baby visuals) by applying the Internet of Things (IoT). The results of this study have the largest number of parameters monitored compared to previous studies.
Co-Authors Achmad Wahdi Agnes, Yeni Lufiana Novita Agnes, Yeni Luviana Novita Alimansur, Moh Arif Nurma Etika Christianingsih, Siska Didik Susetiyanto Atmojo Edwin Putra Setya Indiarto Endang Mei Yunalia Erik Irham Lutfi Etika , Arif Nurma Fachry Abda El Rahman Ferdianto, Aan Fernando Fernando Fitriani, Evi Tunjung Handayani , Wiwik Hengky Irawan Indah Jayani Indah Jayani Irine Aprilianti Pakili Karingga, Devangga Darma Kartikasari, Fira Deviyanti Kun Ika Nur Rahayu Lindia, Hessy Lisna Watie Geragam Lisna Watie Geragam Martianawati martianawati Mirasa, Yudied Agung Niantara, Rendhe Novia Ulfa Nurrahayu, Kun Ika Nurul Fatehah Ohoiledjaan, Imelda Krisanta Ruth Pradana, Dio Alif Prasetyo, Rudi Tri Priska Emiliana Radiah, Siti Rahayu, Kun Ika Nur Rahayu, Mega Diasty Sabu, Anna Samudera, Wahyu Sukma Satria Eureka Nurseskasatmata Septi Susilowati Setiawan, Fachruddin Ari Sri Haryuni Sulistyawati, Wiwin Ulfa, Novia Wahyu Sukma Samudera winarti, eko Yanuar Mukhammad Yohanes Tatan Yohanes `Tatan Yunalia, Endang Mei