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PRODUKSI ALAT ORBITAL SHAKER DENGAN PENGATUR WAKTU DAN KECEPATAN PUTAR MENGGUNAKAN POTENSIOMETER BERBASIS ARDUINO UNO Vicias, Icha Arum; Pauzi, Gurum Ahmad; Ayu, Humairoh Ratu; Suciyati, Sri Wahyu
Journal of Energy, Material, and Instrumentation Technology Vol 5 No 1 (2024): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v5i1.219

Abstract

Mixing solutions is an everyday activity performed in laboratory spaces. Mixing solutions manually by shaking is less effective, as it takes a long time and requires much effort. Therefore, an orbital shaker has been created to mix solutions with a digital unidirectional movement. This device is designed using a DC motor as the driver, an L298N motor driver, an Arduino Uno as the processor, a potentiometer to adjust the speed and rotation time, a seven-segment TM1637 display to show the set values, and push buttons as start and reset buttons. Testing the orbital shaker begins by inputting PWM values on the potentiometer and then measuring the DC motor's rotation speed (rpm) using a tachometer. The calibration testing includes calibrating the rotation speed values (rpm) and time. The results of rotation speed calibration testing show an average error value of 1.09%, accuracy of 98.91%, and precision of 99.77%. In comparison, time calibration yields an average error value of 2.45%, accuracy of 97.55%, and precision of 99.99%. Subsequently, speed testing is conducted using a solution load ranging from 100 to 1000 g, with each increment of 100 g testing rotation speeds from 240 to 360 rpm. The results indicate that when a load is applied, there is a decrease in the measured rotation speed compared to the input speed. The orbital shaker can rotate within a speed range of 240 to 374 rpm and a maximum time of 90 minutes with a maximum load of 1000 g.
Dual-axis solar tracker system utilizing Fresnel lens for web-based monitoring Ayu, Humairoh Ratu; Kurniawansyah, Rifki Mohamad; Supriyanto, Amir; Junaidi, Junaidi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 15, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v15.i3.pp1799-1809

Abstract

Solar energy produced using solar panels is a renewable source of electricity. Over the years, several studies have been developed in the field to increase the performance efficiency of these panels. Therefore, this study aims to develop dual-axis solar tracker with the addition of Fresnel lens to improve performance efficiency. The system implemented consisted of multisensors, servo motors, Fresnel lenses, Arduino nano, and NodeMCU ESP32. In the experiments, proposed tracking system with and without Fresnel lens were evaluated to compare the output of both setups. The results showed that the maximum power of dual-axis solar tracker with and without the device was 13.60 W and 15.78 W, respectively, at the same radiation intensity, temperature, and time. These findings showed that the proposed tracking system could increase the maximum power efficiency of solar panels by 16.03%. Furthermore, the maximum value was obtained when dual-axis solar tracker with Fresnel lens moved from E to W at 23° to the horizontal.
Design and Realization of Temperature and Speed Control System of Meyer Rod Coating Based on Arduino for Silver Nanowires Thin Film Applications Junaidi, Junaidi; Irvana, Raihan; Ayu, Humairoh Ratu; Karo , Pulung Karo; Surtono, Arif; Marjunus, Roniyus; Hadi, Sutopo
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 13 No. 2 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v13n2.p95-105

Abstract

The design and implementation of an Arduino-based temperature and speed control system for Meyer rod coating have been successfully accomplished. The tool is capable of automatically regulating the temperature and speed of the plate and Meyer rod. The components utilized in manufacturing the coating tool include Arduino Uno, stepper motor, thermocouple sensor, heating plate, relay, stepper motor driver (TB6560), and thermocouple sensor supported by the MAX-6675 module. The motivation behind developing this tool stems from the inconsistency in temperature and speed during manual Meyer rod coatings, where substrate transfer to the heater is done manually. Therefore, the purpose of this tool is to make the rod's pressure and speed stable, and the substrate does not need to move. The results of this study are that the stepper motor achieved a remarkable speed accuracy of 99%, and the thermocouple sensor exhibited an accuracy of 88.43%. Further, the time required for the heater to reach 100 °C was 09.45 minutes.
Rancang Bangun Sistem Ultrasound Assisted Extraction (UAE) dengan Otomasi Pengaturan Suhu dan Volume Pelarut Humairoh Ratu Ayu; Suryono Suryono; Jatmiko Endro Suseno
INDONESIAN JOURNAL OF APPLIED PHYSICS Vol 10, No 01 (2020): April
Publisher : Department of Physics, Sebelas Maret University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.954 KB) | DOI: 10.13057/ijap.v10i01.35032

Abstract

Pada penelitian ini telah dilakukan rancang bangun sistem pengaturan suhu dan volume pelarut pada ultrasound assisted extraction. Sistem ini terdiri dari pompa, mikrokontroler, termocouple, termocontroller dan sensor suhu LM35 yang bertujuan untuk menghindari pengenceran ekstrak dan meningkatkan transfer massa sehingga mendapatkan hasil ekstraksi yang lebih baik. Pompa menyala sesuai dengan perintah yang diberikan ke mikrokontroler selanjutnya dilakukan pembacaan nilai ADC oleh sensor suhu LM35 yang kemudian dikonversi ke dalam nilai temperatur. Berdasarkan hasil penelitian yang telah dilakukan, sistem mampu mengontrol volume pelarut dengan nilai error sebesar 2,38%, memantau suhu dalam wadah ekstraksi menggunakan sensor suhu LM35 dengan nilai error sebesar 0,70% dan mengontrol suhu menggunakan termokontroler dengan kestabilan sistem sebesar 96,16%.
RANCANG BANGUN DUAL AXIS SOLAR TRACKER MENGGUNAKAN LENSA FRESNEL BERBASIS INTERNET OF THINGS (IOT) UNTUK OPTIMASI DAYA OUTPUT SOLAR CELL Kurniawansyah, Rifki Mohamad; Kusmita, Aryu; Ayu, Humairoh Ratu
Journal of Energy, Material, and Instrumentation Technology Vol 6 No 1 (2025): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v6i1.248

Abstract

A single-axis solar tracker using a Fresnel lens has been realized to optimize the output power of solar cells. The solar tracker system is monitored using a website that displays the value of voltage (volts), current (amperes), tilt angle (0), and output power (watt) in real-time. This single-axis solar tracker is designed using a 20 Wp solar panel, Fresnel lens, Solar Charger Controller, Accumulator, Arduino Nano, ESP32, Buck Converter, L298N motor driver, FZ0430 sensor as voltage meter, ACS712 sensor as current meter, MPU6050 sensor as angle meter. The method used in this research includes collecting data on voltage, current, tilt angle, power generated by solar panels, and light intensity and temperature emitted by the sun for 3 days without and 3 days using lenses. This tool can measure the voltage value of direct electricity with an error rate of 1.88%, accuracy of 98.12%, and precision of 99.15%. The electric current measurement has an error rate of 3.82%, an accuracy of 96.18%, and a precision of 96.84%. Light measurement has an error rate of 1.85%, an accuracy of 98.15%, and a precision of 98.78%. The angle measurement has an error rate of 5.95% and an accuracy of 94.05%. The single-axis solar tracker system using Fresnel lenses has a power efficiency of 37.09% compared to the single-axis solar tracker without Fresnel lenses.
Rancang Bangun Alat Deteksi Kadar Kolesterol Dalam Darah Dengan Teknik Non Invasive Berbasis Mikrokontroler Wemos D1 R1 Yuniar, Noeris; Supriyanto, Amir; Ayu, Humairoh Ratu; Suciyati, Sri Wahyu
Journal of Energy, Material, and Instrumentation Technology Vol 6 No 3 (2025): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.213

Abstract

Cholesterol level checks are generally performed either invasively or using a portable blood test strip. It requires a long laboratory analysis time and causes pain in the body, so a non-invasive tool is needed to check cholesterol levels. The study aims to detect cholesterol levels in the blood with a non-invasive technique based on the Wemos D1 R1 Microcontroller using the DS100A Oximeter Sensor. This tool is equipped with a Liquid Crystal Display (LCD) as a cholesterol level display and an LED light as a cholesterol level indicator that will light up red when cholesterol is high (>=240 mg/dL), light up yellow when cholesterol is at the high limit (200-239 mg/dL), and light up green when cholesterol is normal (<=200 mg/dL). Cholesterol level measurement is done by utilizing the red LED light emission on the sensor attached to the finger. Then, the photodiode will capture the light intensity from the red LED into a voltage value. A 10-bit ADC on the microcontroller then reads the voltage value. The ADC value was then converted into a cholesterol level in milligrams per deciliter (mg/dL) using a linear regression equation. The designed device is capable of detecting cholesterol levels in the range of 150-240 mg/dL. Test results indicate that the non-invasive cholesterol level test device has been successfully developed, with a precision of 98.85% and an error of 1.15%. Accuracy testing yielded a value of 97.14% with an error of 2.86%.