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ITS » Undergraduate Theses » S1 Teknik Elektro Posted by anis at 30/10/2008 16:13:22 • 3654 Views
ALAT UJI TINGKAT KEMURNIAN BENSIN MENGGUNAKAN SENSOR GAS DAN METODE JARINGAN SYARAF TIRUANPURITY LEVEL TESTER OF GASOLINE USING GAS SENSORS AND ARTIFICIAL NEURAL NETWORK METHODSCreated by :
Fadillah, Lukman
| Subject: | Detektor
| | Keyword: | Pengawasan kualitas Bensin Sensor gas Fogaro Syataf Tiruan Back Propagation |
Description:
Banyak upaya-upaya dari pemerintah khususnya PERTAMINA
untuk berusaha meningkatkan pengawasan terhadap kualitas bensin.
Pengawasan kualitas dari PERTAMINA biasaya di uji dari sisi kimiawi
atau tingkat kandungan zat yang ada pada bensin. Pada tugas akhir ini
telah dibuat sebuah alat yang mampu mengukur tingkat kemurnian
bensin menggunakan sensor gas Fogaro yang dapat mendeteksi jika ada
campuran lain pada bensin.
Sistem ini memanfaatkan tiga buah sensor gas FIGARO,
dimana ketiga data sensor ini membentuk sebuah pola dan selanjutnya
diolah oleh mikrokontroller serta dikirimkan ke PC melalui serial RS
232 yang pada akhirnya pola ini akan di olah menggunakan Jaringan
Syataf Tiruan Back Propagation .
Nilai output ketiga sensor berubah seiring dengan perubahan
kosentrasi bensin dengan range 0-3,731 volt, sedangkan nilai error pada
baudrate 2400-115200 bps adalah 0 %, dari data juga terlihat Jaringan
Syaraf Tiruan mampu mengklasifikasikan bensin dalam 8 tingkatan
kualitas atau kosentrasi
Alt. Description
A lot of effort from the goverment especially PERTAMINA to
try improving the observation of gasoline quality. Observation quality
from PERTAMINA usually tested from the basic of chemistry or level
of essence at gasoline, at this final examination have been made an
instrumentthat can measure the purity level of gasoline using sensor of
gas figaroto detect the others mixture at gasoline.
This system use three sensor of gas figaro,this sensor make a
pattern, and wiil beprocessed by microcontroller and delivered to PC
through serial RS 232,inthe end this pattern will be processed by
Artificial Neural Network Backpropagation.
the value of third output sensor will be change when there is
change of gasoline consentrationat range 0-3,731 volt, while error value
at boudrate 2400-115200 bps is 0%,from the data seen that Artificial
Neural Network can classification gasoline intoeight level quality or
concentration.
| Contributor | : |
- Dr. Muhammad Rivai , ST, MT
| | Date Create | : | 30/10/2008 | | Type | : | Text | | Format | : | pdf. | | Language | : | Indonesian | | Identifier | : | ITS-Undergraduate-3100008031853 | | Collection ID | : | 3100008031853 | | Call Number | : | RSE 621.381 536 Fad a |
Source : Undergraduate Theses, DEPARTEMENT OF ELECTRICAL ENGINEERING RSE 621.381 536 Fad a, 2007
Coverage : ITS Community Only
Rights : Copyright @2007 by ITS Library. This publication is protected by copyright and permission should be obtained from the ITS Library prior to any prohibited reproduction, storage in a retrievel system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permission(s), write to ITS Library
Publication URL : http://digilib.its.ac.id/alat-uji-tingkat-kemurnian-bensin-menggunakan-sensor-gas-dan-metode-jaringan-syaraf-tiruan-2102.html
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