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Journal : JOURNAL ONLINE OF PHYSICS

PENINGKATAN SENSITIVITAS SENSOR KOIL DATAR MEMPERGUNAKAN SOFT MAGNETIC VITROVAC Tengku Emrinaldi; Defrianto; Sultan Fiddunya Fiddunya; Rahmondia N. Setiadi; Lazuardi Umar
JOURNAL ONLINE OF PHYSICS Vol. 5 No. 1 (2019): JOP (Journal Online of Physics) Vol 5 No 1
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v5i1.7986

Abstract

This study reports the design of non-magnetic plate thickness sensors based on Eddy Current principld in the form of flat coils. The principle used in the Eddy Current sensor is a change of mutual coil inductance due to the presence of objects in the magnetic field. The coil is made up of single and double layer coil designed using Corel Draw Software based on printed circuit board (PCB) material with dimensions of 152.4 mm x 101.6 mm, which has a track distance of 0.125 m. Single and double layer coil inductance evaluations are carried out using the EVB LDC 1000 L/V Converter module which converts plate thickness into inductance values. The addition of a 30 mm Vitrovac thin film mounted in the direction of the winding in the 2 mm diameter coil core has been carried out to increase the sensitivity value of the sensor which gives an increase in sensitivity value of S = 0.321 uH / mm or 33.2%. The coil is able to measure plate thickness up to 10mm well.
IDENTIFICATION OF WHITE NOISE AND 1/f IN CURRENT MIRROR CONFIGURATION BASED ON VDS MOSFET Maria Rosariana Gea; Lazuardi Umar; Rahmondia Nanda Setiadi
JOURNAL ONLINE OF PHYSICS Vol. 7 No. 2 (2022): JOP (Journal Online of Physics) Vol 7 No 2
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v7i2.18167

Abstract

Identifying noise in the Current Mirror (CM) circuit is essential to locate noise signals in biosensor applications so that measurements become more accurate and precise. There are two dominant types of noise: white noise, which consists of thermal noise and shot noise, and also low-frequency noise (1/f  noise). The main component of the CM circuit is the BS250 type MOSFET, which works by varying the width of the charge carrier channelcontrolled by the voltage at the gate. When the drain is given a voltage, electrons will flow from the source to the drain which generates the noise.This study was carried out to identify the noise in the CM configuration by varying the reference voltage of MOSFET using the PCI-6221 card data integrated with the LabVIEW program. The reference voltage values ​​used are 1 mV, 10 mV, and 100 mV to determine the effect of the input voltage on the CM circuit noise signal, while the measurement frequency is varied from 0.1 Hz to 100 kHz with a resolution of 0.1 Hz. The results show that the noise characteristics vary with the applied voltage, which will increase at a higher voltage. Analysis of 1/f noise at frequencies up to 0.2 Hz has a gradient increase of up to 10 times for each given voltage value. Based on the value of the data distribution on the white noise measurement, it shows that a voltage of 100 mV produces the highest noise with an average of 3.62 × 10-7 Vrms/Hz1/2. The results of this study are used in the design of CM circuits with minimal noise.
DETEKSI KADAR ETANOL PADA MAKANAN TRADISIONAL LEMANG TAPAI MENGGUNAKAN MIKROBIAL BIOSENSOR Nadratul Hanifah; Rahmondia Nanda Setiadi; Yanuar Yanuar; Vira Annisa Rosandi; Lazuardi Umar
JOURNAL ONLINE OF PHYSICS Vol. 8 No. 3 (2023): JOP (Journal Online of Physics) Vol 8 No 3
Publisher : Prodi Fisika FST UNJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jop.v8i3.27517

Abstract

Konsumsi etanol memiliki konsekuensi bagi kesehatan, dimana penentuan etanol sangat relevan dengan uji toksikologi klinis yang mempengaruhi sistem saraf, sistem peredaran darah, sistem pencernaan sehingga perlu dideteksi. Biosensor amperometris merupakan alternatif untuk deteksi etanol dalam makanan yang diamati melalui nilai tegangan output, diperoleh dari oksigen terlarut yang tertinggal dari hasil metabolisme sel. Pada penelitian ini dilakukan deteksi etanol secara kuantitatif memanfaatkan biosensor berbasis sel ragi Saccharomyces cerevisiae untuk mengetahui kadar etanol yang terdapat pada makanan tradisional Lemang Tapai dengan nilai <5%. Larutan etanol standar dengan konsentrasi 1.2%, 2.43%, 3.64% dan 4.86% v/v sebagai kalibrasi sensor yang menunjukkan korelasi (r) yang baik yaitu 0.9937. Hasil pengukuran Lemang Tapai yang dideteksi oleh biosensor menunjukkan konsentrasi etanol 2.79%. Pengolahan data konsentrasi yang dihasilkan kemudian diuji menggunakan metode statistik Analysis of Variance (ANOVA) untuk mengetahui signifikansi perbedaan data yang dihasilkan untuk tiap konsentrasi etanol yang diuji. Hasil penelitian ini diharapkan dapat meningkatkan kesadaran dan kewaspadaan masyarakat terhadap adanya etanol dalam makanan tradisional yang berbahaya ketika dikosumsi secara berlebih.