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ITS » Paper and Presentation » S1 Teknik Elektro
Posted by aprill@is.its.ac.id at 21/02/2014 15:37:27  •  1668 Views


ESTIMATION OF ALUMUNIUM SULFAT DOSAGE IN WATER PURIFICATION USING GENETIC ALGORITHM METHOD

Author :
AYUNDYAHRINI, MEILINDA ( 2211105069 )




ABSTRAK

Kualitas air minum tergantung dari kekeruhan dan pH. Proses koagulasi merupakan proses utama penjernihan air yang bertujuan untuk mengikat partikel-partikel dalam air menggunakan koagulan. Hubungan kualitas air dan dosis membentuk kurva U sehingga dosis optimum merupakan titik minimum dari kurva. Ketika pemberian dosis tidak tepat maka bisa merusak kualitas air itu sendiri. Metode yang digunakan untuk mencari dosis minimum adalah Algoritma Genetika dengan tahapan meliputi normalisasi data stratifikasi inialisasi populasi evaluasi individu seleksi turnamen pindah silang mutasi dan elitisme. Persamaan least square error dan kesalahan sesaat digunakan sebagai persamaan fitness. Pencarian persamaan optimum dibagi menjadi dua musim yaitu musim kemarau dan penghujan. Musim kemarau persamaan optimum didapat dengan mengelompokkan data menjadi tiga kelompok waktu menggunakan persamaan kesalahan sesaat. Sedangkan pada musim penghujan persamaan optimum didapatkan melalui pengelompokan data menjadi tiga golongan terhadap kekeruhan menggunakan persamaan kesalahan sesaat. Hasil simulasi menunjukkan jika data estimasi dosis mampu mengikuti data dosis tawas perusahaan.


ABSTRACT

Drinking water quality depends on raw water quality some of them are level of turbidity and degree of acidity pH. Coagulation process aims to bind particles contained in the water and this process uses coagulant. The relationship between water quality and alum dosage shapes U-curve. It shows that dosage determination has minimum point from the curve when it is not given in precise amount it will spoil the water quality. The method used is Genetic Algorithm which consists of data normalization stratification population initialitation individual evaluation tournament selection crossover mutation and elitism. To find the optimum equation the dataa are clasified into two season drainy season and rainy season. In drainy season the optimum equation reached by the datas are clasified into three group based on time. Whereas on rainy season optimum equation reached by the datas are clasified into three group based on turbidity level. Simulation reluts shows estimation dosage following the alum dosage company datas.



KeywordsPenjernihan Air; Koagulasi; Algoritma Genetika; Metode Least Square Error; Kesalahan Sesaat; Persamaan Polinomial
 
Subject:  Air - pemurnian Algoritma genetik
Contributor
  1. Ir. Rusdhianto Effendie A. K., MT.
  2. Nurlita Gamayanti, ST., MT.
Date Create: 21/02/2014
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-paper-22021140003697
Collection ID: 22021140003697
Call Number: RSE 628.166 Ayu e


Source
Paper and Presentation of Electrical Engineering, RSE 628.166 Ayu e, 2014

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Copyright @2014 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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  1.  ITS-paper-29901-2211105069-Paper.pdf - 1139 KB
  2.  ITS-paper-29901-2211105069-Presentation.pdf - 1630 KB




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