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Perancangan Alat Centrifuge Balance Berbasis Arduino Nano Untuk Mengetahui berat Kedua Sampel Darah Sudah Seimbang Ramadhani Ariya Saputra; Andi Kurniawan Nugroho; Bayu Wahyudi
Jurnal Teknik dan Science Vol. 4 No. 2 (2025): Juni : Jurnal Teknik dan Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jts.v4i2.2164

Abstract

A balance centrifuge is a tool to weigh two different samples to determine the balance of the two samples before proceeding to the centrifugation process. The electronic circuit consists of 2 Load Cells and other supporting components, which aim to measure and process heavy data from both samples. In the development of this tool, the Arduino Nano served as the main microcontroller. The Arduino Nano receives data from the load sensor and the tare button to remove the load on the sample container and then processes the data to display the measurement results on the LCD layer. The LED as a balanced indicator when both samples are being weighed. The results of the experiment showed that the developed tool had an average error rate of 1% in the measurement of the weight of the right load cell. Then in the weight measurement of the load cell on the left has an average error rate of 0.3%.
Perancangan dan Pembuatan Plasma Blood Separator Berbasis Arduino Uno Patrisius Kusi Olla; Bayu Wahyudi; Muhammad Nur Alfian; Diah Rahayuningtyas; Mohammad Rofi'i
Jurnal Teori dan Aplikasi Fisika Vol. 13 No. 01 (2025): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v13i01.412

Abstract

This research aims to design a Plasma Blood Separator that can separate plasma from red blood cells automatical-ly using an Optocoupler sensor and a specimen tube cutter. This sistem is equipped with an Arduino Uno as the con-trolling brain, a servo motor to clamp the hose, a DC motor to open the blood bag pressure, a series of push buttons to open the servo, and a buzzer to indicate the completion of separation. After testing the Arduino Uno-based Plasma Blood Separator, all functions can work well by showing results in three trials varying the length of the tube. The var-ied hose lengths are 38 cm, 52 cm, 71 cm. The estimated separation times are 1.16 minutes, 2.17 minutes and 3.4 minutes. In the voltage measurement results, the measurement results were obtained with a small percentage of error with a value of <5% and a high accuracy value with a value of >90%. Keywords: plasma blood, separator, arduino
Rancang Bangun Urine Analyzer Pendeteksi Dini Indikasi Penyakit Diabetes Melitus Edo Daryono; Imam Tri Harsoyo; Bayu Wahyudi
Justek : Jurnal Sains dan Teknologi Vol 8, No 1 (2025): Maret
Publisher : Unversitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/justek.v8i1.29639

Abstract

Abstract:  This research aims to design and develop a microcontroller- based Urine Analyzer capable of early detection of diabetes mellitus indications through Urine color analysis. The device utilizes a TCS3200 color sensor to process RGB light intensity and identify glucose levels in Urine. Testing was conducted on four Urine samples, with five tests per sample, resulting in a total of 20 trials. The device achieved an accuracy rate of 90%, with 18 results matching the readings of a commercial analyzer. The two errors detected were attributed to variations in light intensity and the quality of test strips. This device demonstrates reliable detection capabilities and has the potential to become a portable and cost- effective solution for early diabetes mellitus detection. Further development, such as improving sensor stability and algorithm accuracy, is expected to enhance the overall performance of the device.Abstrak: Penelitian ini bertujuan untuk merancang dan mengembangkan alat Urine Analyzer berbasis mikrokontroler yang mampu mendeteksi dini indikasi penyakit diabetes melitus melalui analisis warna Urine. Perangkat ini menggunakan sensor warna TCS3200 yang memproses intensitas cahaya RGB untuk mengidentifikasi kadar gula dalam Urine. Uji coba dilakukan pada empat sampel Urine dengan masing-masing lima pengujian, menghasilkan total 20 percobaan. Tingkat akurasi alat mencapai 90%, di mana 18 hasil sesuai dengan pembacaan alat pabrikan. Dua kesalahan yang ditemukan disebabkan oleh variasi intensitas cahaya dan kualitas strip uji. Alat ini menunjukkan kemampuan deteksi yang andal dan berpotensi menjadi solusi portabel dan hemat biaya untuk mendukung deteksi dini diabetes melitus. Pengembangan lebih lanjut, seperti peningkatan stabilitas sensor dan akurasi algoritma, diharapkan dapat meningkatkan kinerja alat secara keseluruhan.
Stress Monitor Design and Construction Based on Arduino Uno Bayu Wahyudi; Ananda Hanif Nurcahya; Patrisius Kusi Olla; Afuan Faisal Zudhi
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 3 (2026): September 2026 In progress.
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i3.552

Abstract

Monitoring physiological conditions such as heart rate during high physical activities, including stress test monitoring, is highly crucial to prevent cardiac overload. However, conventional stress test systems rely on expensive equipment, limiting their accessibility in small healthcare facilities. This study aims to design and construct an Arduino Uno-based stress test monitor utilizing an AD8232 ECG sensor integrated into a modified treadmill system. The system employs an Arduino Uno microcontroller as the primary data processor to analyze the bioelectric heart signals captured by the AD8232 sensor, displaying the real-time results on a TFT screen. Device performance was evaluated through voltage measurements, functional testing, speed calibration, and comparative testing across three speed levels: low mode, medium mode, and high mode. The results showed that the power distribution system operated stably with a maximum voltage error of 1.81%. Speed calibration using a tachometer produced three distinct intensity levels of 16 rpm, 24.6 rpm, and 33 rpm. Comparative testing against a standard pulse oximeter showed average heart rate readings of 98 BPM in low mode, 125 BPM in medium mode, and 155 BPM in high mode, with a percentage error of 0% and a correction value of 0 BPM across all modes. These results indicate excellent device accuracy, with deviations remaining well within acceptable tolerance limits. Consequently, the designed system functions as intended and is declared eligible for operational use to support user physical performance monitoring.