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Sistem Kontrol Otomatik Pembatasan Daya Listrik Berbasis Mikrokontroler PIC18F4520 Nur A. Aprianti; Indra W. Fathona; Suprijadi Suprijadi; Maman Budiman; Khairurrijal Khairurrijal
Jurnal Otomasi Kontrol dan Instrumentasi Vol 2 No 2 (2010): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2010.2.2.6

Abstract

Sistem kontrol otomatik yang diterapkan untuk membatasi daya listrik telah dirancang dan dikembangkan berbasis mikrokontroler PIC18F4520. Dalam melakukan pengontrolan, sistem tersebut menggunakan aksi kontrol on-off. Sebagai aktuator digunakan Triac beserta drivernya sedangkan sensornya menggunakan sensor arus berbasis efek Hall. Sistem tersebut dilengkapi keypad untuk memasukkan set point arus dan peraga LCD untuk memantau arus yang terukur. Dari pengujian yang telah dilakukan, ditunjukkan bahwa sistem telah berjalan baik. Aksi kontrol PID (proporsional-integral-diferensial) disarankan menggantikan on-off untuk pengontrolan yang lebih baik. Kata kunci: Aksi kontrol on-off, Kontrol otomatik, Mikrokontroler PIC18F4520, Pembatas Daya, Sensor efek Hall, TriacAbstractAutomatic control system for controlling the electronic power has been designed and developed based on microcontroller PIC18F4520 and on-off control action. This system uses Triac and its driver as an actuator and Hall Effect-based current sensor. This system also provided with a keypad to enter the set point current and LCD display to monitor the flow measured. From the testing that has been conducted, it was showed that the system has been running well. PID (proportional-integral-differential) controller is suggested to replace the on-off controller for better controlling.  Keywords:  on-off control action, Automatic control, Microcontroller PIC18F4520, Power restrain, Hall Effect sensor, Triac
Studi Pengukuran Konstanta Pegas dengan Pengolahan Citra Adhitya Alkautsar; Suprijadi Suprijadi
Jurnal Otomasi Kontrol dan Instrumentasi Vol 4 No 2 (2012): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2012.4.2.2

Abstract

Object tracking merupakan aplikasi dari konsep pengolahan citra digital (digital image processing). Object tracking biasanya digunakan untuk mengamati suatu fenomena jarak jauh, namun demikian kepresisiannya juga dapat digunakan untuk mengamati fenomena dekat yang membutuhkan ketelitian dalam pengamatannya, salah satunya adalah pengamatan gerak pegas untuk menentukan suatu konstanta pegas melalui pengolahan citra dalam penelitian ini. Sebagai perbandingan kami menggunakan dua metode pengamatan, yaitu metrode statik dan metode dinamik. Hasilnya terdapat perbedaan nilai konstanta pegas antara hasil pengolahan citra dan hasil mekanik untuk metoda statistik sebesar 2.51% sedangkan untuk metode dinamik sebesar 4.05%.
Pengembangan Sistem Monitoring Pembakaran Material Berdasar Teknik Pengolahan Citra M. I. Rahayu; Suprijadi Suprijadi
Jurnal Otomasi Kontrol dan Instrumentasi Vol 5 No 1 (2013): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2013.5.1.1

Abstract

Pembakaran merupakan salah satu proses penting dalam industri logam. Suhu pada pembakaran akan mempengaruhi kualitas material yang dihasilkan.Oleh karena itu, suhu yang digunakan harus dapat dimonitor.Pada penelitian ini dibangun sistem monitoring suhu dengan memanfaatkan citra digital.Proses penentuan suhu dilakukan dengan melakukan analisis terhadap nilai R, G dan B pada warna api pembakaran. Rentang pengukuran suhu pada penelitian ini adalah 700°C -1500°C.Kata kunci : pembakaran, suhu pembakaran, deteksi suhu, warna suhu.
STUDY OF THE EFFECT OF MAGNETIC FIELDS ON ELECTROENCEPHALOGRAPHY MEASUREMENT IN FARADAY’S CAGE Galih Restu Fardian Suwandi; Siti Nurul Khotimah; Freddy Haryanto; Suprijadi Suprijadi
Spektra: Jurnal Fisika dan Aplikasinya Vol 6 No 2 (2021): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 6 Issue 2, October 2021
Publisher : Program Studi Fisika Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/SPEKTRA.062.02

Abstract

Electroencephalography (EEG) is a method for recording the brain's electrical activity through electrodes placed on the scalp's surface. The amplitude of the EEG signal is in the 40–100 V range, with the five main frequencies in the 0 to 100 Hz range. The EEG is non-stationary and very susceptible to various disturbances, especially frequency disturbances, so eliminating troubles in the raw EEG data is essential to obtain helpful information reflecting brain activity. Interference in the EEG signal comes from muscles, eye movement and blinking, power lines, and interference with other devices. The distractions overlap. Shielding is required to perform an EEG without the risk of interference and ambient background noise. This study tested how the influence of magnetic field disturbances on EEG measurements was carried out in the Faraday cage and an unprotected room. The magnetic field was measured before, during, and after the EEG was operated. EEG measurements were performed on subjects who were conditioned to rest for 5 minutes. The EEG signals generated when EEG recordings were performed in the Faraday and the unprotected rooms were compared. It was found that the difference in the value of the magnetic field originating from electronic devices around the subject does not significantly affect the EEG measurement results.
DISAIN DAN PEMBUATAN PEMBANGKIT ALIRAN METODE ROLL WIPER UNTUK SISTEM PENGUKURAN KONSENTRASI PORFIRIN-Fe BERBASIS SENSOR GMR Ahmad Aminudin; Mitra Djamal; Suprijadi Suprijadi; Daryono Hadi Tjahyono; Juniastel. R
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol 4 (2015): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2015
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (161.472 KB)

Abstract

Has made generating fluid flow wiper roll method used in measurement systems Fe concentration of porphyrin-based GMR sensor. This measurement system requires a low flow and can be controlled. Generating low flow can be generated with a wiper roll method. Wiper roll method works based on circular sweeping using three roll bearings. Three bearings are used to suppress the elastic hose interchangeably. Shifting the emphasis bearing against the elastic hose causes the fluid flow. Three roll bearing load divided by the same angle is 120o with a radius of 30mm to the length of the shaft so as to produce the same trajectory. The test results showed that the speed of the motor has a sensitivity to the motor voltage for 4,75rpm / V, the velocity of fluid flow sensitivity to the motor voltage for 0,015mL / V and the motor starts to respond after the motor voltage is greater than 3 volts. Key Word : Flow Fluid Generator, Roll Wiper Method, sensitive.
Face Detection Based On Eye-Mouth Triangular Approach Deni Kartika; Suprijadi Suprijadi
Indonesian Journal of Physics Vol 31 No 2 (2020): Vol 31 No 2 (2020)
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (626.884 KB) | DOI: 10.5614/itb.ijp.2020.31.2.1

Abstract

Human face is a complex and dynamic structure. It is a challenge to be able to make a face recognition system like humans. At the beginning of its development, many facial recognition studies only focused on facial features. In 1991, Turk and Pentland developed a face recognition system based on Principal Component Analysis named eigenface. This system is very efficient because it only focuses on components that most affect facial image. However, this system has weaknesses, which cannot be used to determine the position of the face. In this final project, image processing methods will be carried out to detect faces in digital images. The method used is eye mouth triangular approach with the steps being taken are skin detection, eye detection, mouth detection, and facial confirmation. From the results of a hundred digital color images tested, there were 82 images that were successfully detected. The main system failure is caused by failure in skin detection. Further development is needed so that the system can work optimally.