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All Journal Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat Teknosains : Jurnal Sains,Teknologi dan Informatika Journal of Applied Smart Electrical Network and System (JASENS) Jurnal Jaringan Telekomunikasi Jurnal Pengabdian Polinema Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat Seandanan: Jurnal Pengabdian pada Masyarakat Prosiding Seminar Nasional Pengabdian Masyarakat Jurnal Teknik Ilmu dan Aplikasi West Science Interdisciplinary Studies West Science Interdisciplinary Studies Jurnal Pengabdian Kepada Masyarakat
Moh. Abdullah Anshori
Politeknik Negeri Malang
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Design and Development of An Integrated Monitoring System for Nebulizer and Infusion for Lung Disease Patients Based on IoT Atha Azhar Arrafi; Farida Arinie Soelistianto; Moh. Abdullah Anshori
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.1314

Abstract

This research develops an Internet of Things (IoT)-based monitoring system for nebulizers and infusion devices for patients with lung diseases, specifically Acute Respiratory Infections (ARI). The aim is to improve nursing efficiency and minimize the risk of complications due to delayed patient care by enabling remote monitoring and providing real-time information on the status of nebulizers and infusion devices via a website. The system is designed to stop the infusion fLow when the required amount is reached and to automatically turn off the nebulizer when there is no liquid. It uses an ESP32 microcontroller to control IR obstacle sensors, relays, and a servo motor for the infusion clamp, as well as an LCD display for digital information and feature displays. The system is also equipped with an alarm to indicate when the infusion liquid or nebulizer is depleted and a website to provide real-time status information to medical personnel. Testing shows that the system has a high accuracy of 98.7% and minimal error of approximately 1.82% in monitoring and controlling nebulizer and infusion fluids. In conclusion, the system successfully improves nursing efficiency and patient safety while reducing the workload of nurses through the automation of medical devices that were previously managed manually.
Internet of things enabled landfill pollution gas monitoring Junus, Mochammad; Putradi, David Fydo; Soelistianto, Farida Arinie; Anshori, Mohammad Abdullah; Ardiansyah, Rizky
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp48-55

Abstract

Due to the increasing concern on how to manage wastes and ensure environmental safety across the globe, a new tool that assists in the monitoring of methane, humidity, and temperature in the landfill using internet of things (IoT) has been created. This system uses ESP32 microcontroller and MQ-4 and DHT-22 sensors to measure environmental conditions at three different spots in a landfill. The samples of data are collected at three times a day, that is, in the morning at 7:00 am, at midday at 12:00 pm and in the evening at 5:00 pm and the data is transmitted to an online sheet where the public can access it in real time hence increasing transparency in the management of wastes. The tool shows a very good precision and effectiveness and the parameters are 94. 6% data integrity over three months testing period. The first findings show that the mean methane concentration is the highest at midday, which is related to the temperature and underlines the role of temperature in the methane emission process. The presented IoT based monitoring system also enhances the accuracy and efficiency in the monitoring of landfill gas and at the same time reduces the intervention of human effort and increases the capability to make prompt adjustments to changes in the environment. Used as an instrument for obtaining accurate and easily understandable data, it is hoped that this tool will in some way help to enhance global environmental health and safety standards, and help pave a way for methane storage for renewable energy purposes.
Design and Development of An Integrated Monitoring System for Nebulizer and Infusion for Lung Disease Patients Based on IoT Arrafi, Atha Azhar; Soelistianto, Farida Arinie; Anshori, Moh. Abdullah
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.1314

Abstract

This research develops an Internet of Things (IoT)-based monitoring system for nebulizers and infusion devices for patients with lung diseases, specifically Acute Respiratory Infections (ARI). The aim is to improve nursing efficiency and minimize the risk of complications due to delayed patient care by enabling remote monitoring and providing real-time information on the status of nebulizers and infusion devices via a website. The system is designed to stop the infusion fLow when the required amount is reached and to automatically turn off the nebulizer when there is no liquid. It uses an ESP32 microcontroller to control IR obstacle sensors, relays, and a servo motor for the infusion clamp, as well as an LCD display for digital information and feature displays. The system is also equipped with an alarm to indicate when the infusion liquid or nebulizer is depleted and a website to provide real-time status information to medical personnel. Testing shows that the system has a high accuracy of 98.7% and minimal error of approximately 1.82% in monitoring and controlling nebulizer and infusion fluids. In conclusion, the system successfully improves nursing efficiency and patient safety while reducing the workload of nurses through the automation of medical devices that were previously managed manually.
Co-Authors A'shar, Yusriza Eka Abdul Rasyid Abdul Rasyid Ahmad Wahyu Purwandi Aisah Aisah Akhlis Rizza, Muhammad Amalia Eka Rakhmania Anugerah Satria Putra Pratama Ardiansyah, Rizky Argo Indrianto Arrafi, Atha Azhar Atha Azhar Arrafi Ayu Sulasari Azam Muzakhim Imamuddin Dhelia Dhelia Balqis Zharifa Az-Zahra Dwika Rahman Irianto El Chandra Theo Elvira Rahayu Farida Arinie Soelistianto Firda Amalia Romana Hadiwiyatno Hadiwiyatno Hadiwiyatno Hadiwiyatno Hamzah Dwi Aryanto Arya Hana Via Eka Amalia Hartono Hariyadi, Aad hendro darmono Hudriyah Mundzir Indrianto, Argo Khrisna Hadiwinata Koesmarijanto Koesmarijanto Kusmintarti, Anik Lis Diana Mustafa Luchis Rubianto M. Nanak Zakaria Martono Dwi Atmadja Martono Dwi Atmadja Mila Kusumawardhani Mochammad Junus Mochammad Junus Moechammad Sarosa Moh. Syakur Romadhoni Muh. Dimas Ariyanto Muhammad Syirajuddin S. Nadhirotun Maulidiyah Noverita Wahyuningsih Nur Rizza Nurul Hidayati PRASETYA, MUHAMMAD YOGA AKBAR Putradi, David Fydo Putri Elfa Mas'udia Putri Elfa Mas'udia Putri Elfa Mas`udia Putri Elfa Mas’udi Raharjo, Luthfi Kukuh Ratna Suryawati M Rizza, Nur Saputra, Mohammad Wahyu Denys Septriandi Wirayoga Shohib Muslim Sidik Ismanu Soelistianto, Farida Arinie Sri Hudiarini Sri Wahyuni Dali Suselo Utoyo Waluyo Waluyo Waluyo Wijayanti , Rieke Adriati Yoga Kholilul Akbar Pradana S Yoyok Heru Prasetyo Isnomo