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All Journal Brilliance: Research of Artificial Intelligence SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi
Erwinsyah Sipahutar
Politeknik ATI Padang, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics Other

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Heart Rate Monitoring, Blood Oxygen Levels and Location Determination for Covid 19 Patients Using Internet of Things Technology Erwinsyah Sipahutar; Oktrison; Arie Budiansyah; Rudi Arif Candra; Dirja Nur Ilham
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3105

Abstract

The COVID-19 virus is very dangerous. In addition to attacking the lungs, this virus can also attack the heart directly. The relationship between heart health and COVID-19 occurs because blood vessel clots in COVID-19 patients increase the risk of blood vessel disorders and make the heart work harder. Therefore, researchers designed a heart rate monitoring device. This tool serves to maintain heart health and oxygen levels in the patient's blood and can also monitor people under COVID surveillance. The formulation of the problem from this research is how to design an IoT system to monitor COVID-19 patients through heart rate and location and how it performs. The purpose of this study is to analyze the performance of the device and design a tool to measure heart rate and blood oxygen levels through the IoT system and GPS location so that doctors can access heart rate data from any location. This research method uses a Gy-MAX30100 sensor, Wemos, and a GPS module. Of the 2 data samples that have been tested, the highest heart rate value is 78 bpm, the lowest is 76 bpm, and the highest oxygen level is 95 mmHg and the lowest is 93 mmHg. So in conclusion, this tool can make it easier for doctors to get important information about the condition of patients or people under observation that can be accessed by doctors anywhere and anytime via the internet.
PEMBERSIH TANGAN OTOMATIS MENGGUNAKAN SENSOR INFRARED BERBASIS ARDUINO Trismansyah Trismansyah; Dirja Nur Ilham; Sepri Kurniadi; Erwinsyah Sipahutar; Oktrison Oktrison
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 1 No. 1 (2024): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v1i1.12

Abstract

The activity of washing hands is still done manually, especially in public places. Few people also wash their hands using water, soap, and tissue excessively to clean their hands. Therefore, the author created a series of automatic hand sanitizer designs using an Arduino-based infrared sensor consisting of three main parts: a water tap, soap, and dryer. This tool works by detecting the hands to be cleaned using an infrared sensor connected to a supporting device. The design of this tool is made to facilitate hand-washing activities to be more practical and hygienic. Based on the test results, it can be concluded that the device that has been made can work well as expected.
SMART CABINET PENGERING PAKAIAN BAYI BERBASIS ARDUINO Alfin Mureja; Khairuman Khairuman; Dirja Nur Ilham; Oktrison Oktrison; Erwinsyah Sipahutar
SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Vol. 1 No. 1 (2024): SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, Nopember
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/suliwa.v1i1.13

Abstract

Humans depend on sunlight for the need to dry clothes, but changes in the dry season and rainy season are now unpredictable, resulting in clothes that are dried not being able to dry perfectly, and causing bacteria to grow on the clothes. Especially for baby clothes, where the baby's body is still sensitive, and babies who wear a lot of clothes. This study aims to dry and sterilize baby clothes automatically using the DHT22 sensor. This study created a Smart cabinet for drying baby clothes consisting of making hardware including Arduino Uno, Bulb Lamps, UV Lamps, DHT22 Sensors, Fans, Relays, Buzzers, and LCDs, and Arduino Uno software is used as the controller center of this tool. After several experiments, all components in this system were able to work according to the objectives of the study. This study can help housewives dry and sterilize clothes, especially baby clothes automatically.
Co-Authors Alfin Mureja Arie Budiansyah Candra, Rudi Arif Ilham, Dirja Nur Khairuman Khairuman Oktrison Oktrison Oktrison Sepri Kurniadi Trismansyah Trismansyah