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PENGEMBANGAN SENSOR MAGNETIK MAGNETORESISTIF (MR) UNTUK APLIKASI KOMPAS ELEKTRONIK Lazuardi Umar; Rahmondia Nanda Setiadi; Siska Maulana
Komunikasi Fisika Indonesia Vol 12, No 11 (2015)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.412 KB) | DOI: 10.31258/jkfi.12.11.759-763

Abstract

Dewasa ini sangat dibutuhkan peralatan-peralatan elektronik yang dapat memudahkan manusia dalam melakukan aktivitas. Pembuatan kompas ini menggunakan sensor medan magnet yaitu sensor HMC5883L. Alat telah diuji dan dikalibrasi menggunakan kalibrator standar medan magnet yaitu Teslameter FH51. Dalam penentuan arah sensor HMC5883L dihubungkan dengan Arduino Uno yang dihubungkan ke PC dengan menjalankan aplikasi perangkat lunak berbasis Visual C++. Sensor HMC5883L mengandalkan efek magnetoresistif dengan sensitivitas linearitas untuk mengukur medan magnet bumi yang lemah. HMC5883L merupakan elemen sensor medan yang yang dilengkapi dengan set/reset dan kompensasi kumparan terintegrasi. Selain elemen sensor, unit pengkondisian sinyal dan unit penentuan arah juga diperlukan untuk membangun sebuah kompas elektronik. Fungsi utama dari unit pengkondisian sinyal adalah amplifikasi sensor sinyal dan kompensasi offset. Kedua teknik kompensasi dapat diimplementasikan hanya dengan mengendalikan set terpadu/ ulang dan kumparan kompensasi HMC5883L tersebut. Teknik kalibrasi juga berhubungan dengan gangguan, deklinasi dan kemiringan yang ditunjukkan. Akhirnya akan menghasilkan sistem kompas yang lengkap.
AUTOMATISASI KALIBRASI SENSOR SUHU PTC DAN NTC MEMPERGUNAKAN SUMBER TEGANGAN TERPROGRAM DAC7611 Herman Syahputra; Lazuardi Umar; Rahmondia Nanda Setiadi
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 1, No 2 (2014): Wisuda Oktober 2014
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

A system  calibration  of  PTC  and  NTC  temperature  sensor  using a preprogrammable voltage source based on DAC7611  was  designed.  Temperature  sensors  of  PTC  typethermistor used was a type of  RS  and  NTC  type  was  B57962  S282  using  a  standard voltage divider with resistance to both sensors. Sensor voltage was  increased with a step interval  of 1V  and  time  equilibrium  sensors  of  120  s.  The characteristic  of  the sensor were  modeled  in the form of  the curve  I(U)  based on the  self-heating  effect  (Self-Heating).  Results of  measurements  and  modeling  using  automatic  and  manual calibration  showed  two curves  coincided,  but  there  was  a difference  of  5,8mA maximum  current  for  the PTC  sensor  and  0,552mA  for  NTC  sensor.  These resultsindicated  that the  manufacturing  of  automatic  calibration system  worked  and  only  had  a small difference to the  manual calibration. This was due to the difference in  temperature of the ambient.
PENGEMBANGAN DETEKSI ONLINE GAS KARBONDIOKSIDA MENGGUNAKAN CO2 METER VOLTCRAFT CM-100 Sri Handayani; Lazuardi Umar; Rahmondia Nanda Setiadi
Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Vol 2, No 2 (2015): Wisuda Oktober 2015
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam

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Abstract

"> Air pollution is one of environmental contaminations occurred by various factors, outside and inside the room. Based on NIOSH (National Institute for Occupational Safety and Health), the safe level of Carbondioxide for humans is less than 1000 ppm. In this study one sample component is developed that can measure and monitor the levels of Carbondioxide, and a moisture level inside the room by online service. this uses a Carbondioxide meter and SHT11 sensor-based microcontroller ATmega8535. The development of Carbondioxide consists of two stages of process, namely, a design and construction of the air quality monitoring systems, and data acquisition. There are four scenarios for collecting data smoky weather, rain weather, measurements of carbon dioxide levels in the room with variations of ventilation and variations in the number of occupants in the room. The research sucsesfully designs the component. It can be seen from the amount of Carbondioxide stage and humidity levels. The amount of Carbondioxide concentration on the smoke state the maximum is 621 ppm while the minimum value is 426 ppm. For intersection of accupant and ventilation variable, the maximum and minimum Carbondioxide is 1535 ppm and 467 ppm respectively. The moisture measurement scenario with SHT11 sensor for smoky weather has maximum value at 83.9%, the moisture with a minimum is at 71.0%, on the rain weather maximum value obtained at 85.8% and 77.3% for minimum. While the occupant’s variation and variation of ventilation obtained maximum humidity value at 82.7% with a minimum value at 68.7%.
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.