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All Journal Jurnal Rekayasa elektrika The Indonesian Journal of Computer Science
Eru Puspita
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Sistem Kendali dan Monitoring Cairan Infus pada Proses Tatalaksana Dehidrasi Berbasis IoT Marta Diana; Kemalasari Kemalasari; Eru Puspita; Aji Sasongko Jati
Jurnal Rekayasa Elektrika Vol 17, No 3 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1594.512 KB) | DOI: 10.17529/jre.v17i3.21636

Abstract

Diarrhea is an endemic disease with Potential Extraordinary Events (PEE), often accompanied by death in Indonesia. Globally, at least diarrheal disease has caused 525,000 deaths in children each year, with the most severe threat being dehydration. It takes a system that can determine the degree of dehydration and manage dehydration quickly and appropriately to reduce the mortality rate. This study created a system to assess the degree of dehydration and perform the dehydration management process automatically. The method of determining the degree of dehydration using heart rate parameters and the process of justification is measured physical condition. In the process of dehydration management, intravenous fluid administration is carried out automatically using servo motors. To improve safety in infusion users, infusion volume, flow obstruction, air bubble, and rising blood detection are also carried out. All results will be processed on the microcontroller and will be sent to the ESP32 via serial communication. The data processing results will be connected using the Internet of Things so medical personnel can monitor via the website. The results showed that the average error of heart rate measurement using the moving average method of 0.41%, and the accuracy value in the infusion control system reached 90%.
Sistem Kendali dan Monitoring Cairan Infus pada Proses Tatalaksana Dehidrasi Berbasis IoT Marta Diana; Kemalasari Kemalasari; Eru Puspita; Aji Sasongko Jati
Jurnal Rekayasa Elektrika Vol 17, No 3 (2021)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v17i3.21636

Abstract

Diarrhea is an endemic disease with Potential Extraordinary Events (PEE), often accompanied by death in Indonesia. Globally, at least diarrheal disease has caused 525,000 deaths in children each year, with the most severe threat being dehydration. It takes a system that can determine the degree of dehydration and manage dehydration quickly and appropriately to reduce the mortality rate. This study created a system to assess the degree of dehydration and perform the dehydration management process automatically. The method of determining the degree of dehydration using heart rate parameters and the process of justification is measured physical condition. In the process of dehydration management, intravenous fluid administration is carried out automatically using servo motors. To improve safety in infusion users, infusion volume, flow obstruction, air bubble, and rising blood detection are also carried out. All results will be processed on the microcontroller and will be sent to the ESP32 via serial communication. The data processing results will be connected using the Internet of Things so medical personnel can monitor via the website. The results showed that the average error of heart rate measurement using the moving average method of 0.41%, and the accuracy value in the infusion control system reached 90%.
Deteksi Objek pada Pengambil Muatan Autonomous VTOL berdasarkan Fitur Warna dan Bentuk Niam Tamami; Mochamad Mobed Bachtiar; Mohammad Syafrudin; Eru Puspita
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3569

Abstract

Dalam era modern, Autonomous VTOL (Vertical Take Of and Landing) telah mengambil peran yang semakin signifikan dalam berbagai aplikasi, salah satunya pengiriman barang. Keberhasilan proses pengambilan muatan ditentukan dari keberhasilan proses deteksi. Pada lingkungan terbuka, deteksi muatan sering kali tidak akurat karena adanya objek lain yang berada di atas tanah. Pada penelitian ini, proses deteksi didasarkan pada fitur warna dan bentuk dari objek untuk meningkatkan akurasi deteksi. Deteksi warna dilakukan dengan memberikan range batas nilai HSV dan menghitung luasan terbesar untuk mengetahui posisi muatan pada gambar. Selanjutnya deteksi Haar Cascade digunakan untuk memastikan apakah fitur bentuk objek sesuai dengan objek yang ingin dideteksi. Deteksi objek dengan hanya menggunakan Haar Cascade digunakan sebagai pembanding. Dari percobaan yang telah dilakukan, deteksi dengan menggunakan Haar Cascade didapatkan nilai akurasi 70.68%, sedangkan kombinasi deteksi kontur warna dan Haar Cascade didapatkan nilai akurasi yang lebih tinggi yaitu 87.93%.
Co-Authors Aji Sasongko Jati Kemalasari Marta Diana Mochamad Mobed Bachtiar, Mochamad Mobed Mohammad Syafrudin Niam Tamami