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All Journal Speed - Indonesian Journal on Computer Science Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Fibusi (Jurnal Online Fisika) Seruni - Seminar Riset Unggulan Nasional Inoformatika dan Komputer Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Biologi Tropis EKSAKTA : Jurnal Penelitian dan Pembelajaran MIPA SENTRALISASI Jurnal Teknik dan Informatika Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Inovasi Teknik Informatika Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Rekayasa, Teknologi, dan Sains PROFETIK: Jurnal Mahasiswa Pendidikan Agama Islam Indonesian Journal of Networking and Security - IJNS Journal Of Human And Education (JAHE) Sistem Pendukung Keputusan dengan Aplikasi Jurnal Riset Perbankan, Manajemen dan Akuntansi Jurnal Ilmu Multidisplin MDP Student Conference Science of Management and Students Research Journal (SMS) Asia Information System Journal Instink: Inovasi Pendidikan, Teknologi Informasi dan Komputer VCode Jurnal Suluah Komunitas Indonesian Journal of Economics and Strategic Management International Journal of Science and Mathematics Education International Journal of Mathematics and Science Education Menulis: Jurnal Penelitian Nusantara JURNAL SATYA MANDIRI MANAJEMEN DAN BISNIS
Indra Irawan
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Journal : Jurnal Pengembangan Sistem Informasi dan Informatika

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InfusCare: Smart Infusion Monitoring System with Real-Time Notifications via ESP32 and Blynk Wathan, M Hizbul; Irawan, Indra; Swengky, Better; Cahyadi, Irsan
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 6 No. 3 (2025): Jurnal Pengembangan Sistem Informasi dan Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v6i3.2759

Abstract

Manual infusion monitoring in medical settings can lead to errors and delays in care steps that can put patients at risk. Internet of Things (IoT) technology provides a solution that enhances the accuracy and efficiency of real-time infusion monitoring. This study develops an IoT-based infusion monitoring system with the HX711 module and ESP32 microcontroller, using a connected load cell sensor as a monitoring interface through the Blynk application. This system can accurately measure the volume of infusion fluid and provide automatic notifications when the fluid volume approaches the minimum limit. Tests were conducted with infusion fluid simulation, load cell sensor calibration, and system calibration integration testing. The test results indicate that the system can display data on fluid weight in real time with an accuracy level of 98.5%, and when the fluid volume reaches 1 second in average response time, you can send notifications at the right time. Therefore, this system is expected to be implemented in various medical facilities as a solution for patient safety and the effectiveness of infusion care, as well as for automatic and reliable infusion monitoring.
Co-Authors Achmad Fauzi Affandi, Syawlani Afifah, Siti Alam, Andi Rifqah Purnama Anggraeni, Rosfitri Anggraini, Melani ardila, desi Ari Sulistyowati Azahra, Kaila Bambang Eka Purnama Better Swengky Cahyadi, Irsan Christoporus Indra Wahyu Darlius Desi Sri Pasca Sari Sembiring, Desi Sri Pasca Sari Deti Elice Dwi Andriani, Dwi Dwi Apriliana, Atun E. Suhendi Elrisa Ramadhani Emy Khikmawati Fajar, Yahya Ibnu Haidorizal, Rifkan Harlina, Sitti Iswati Kabul Warsito Khairi Murdy Kriswanda, Bagus Kumar, D. Senthil Lilik Hasanah Marwan Marwan Merri Silvia Basri Muhammad Firjatullah Nur Akbar Noor Islahudin, Ahmad Nur Ikhsan Nurlinda Nurlinda, Nurlinda Ocvanoel Patricia Agata, Veren Prayogi, M. Bagus Pribadi, Antoni Purnama, Pradani Ayu Widya Rahmi, Nadya Alinda Rajab, Junaidi Ramadhani, Elrisa Rizqy, Nurul Safni Marwa Sakinah, Mutiara Siti Safaria Sri Wahyu Widiati Sunardi Thesa Ramadhani Warsito, Kabul Wathan, M.Hizbul Yunan Hepy Urbani Yunita, Tyna