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ITS » Undergraduate Theses » Teknik Informatika
Posted by ansi@its.ac.id at 22/09/2011 11:45:18  •  2109 Views


DETERMINING LIPSTICK TYPES CUSTOMER SELECTION BASED ON AGE AND SKIN COLOR FACTORS USING ARTIFICIAL NEURAL NETWORKS METHOD

Author :
OKTAORORA, AMETHIS ( 5107100096 )




ABSTRAK

Seringkali dalam kehidupan nyata terdapat seorang pelanggan yang ingin membeli suatu produk kosmetik berupa lipstik tidak dapat memutuskan atau menentukan warna lipstik yang sesuai bagi dirinya. Pada situasi seperti ini pihak penjual diharapkan dapat memberikan saran kepada pelanggan tersebut. Untuk membantu pihak penjual agar dapat memberikan saran kepada pelanggan maka pada Tugas Akhir ini akan dibuat suatu aplikasi yang dapat menentukan jenis atau warna lipstik yang tepat bagi pelanggan. Aplikasi dibangun dengan melakukan proses pengenalan pola klasifikasi dan ramalan pada data kasus yang ada. Data masukan yang dibutuhkan berupa informasi warna kulit dan usia dari pelanggan. Metode yang diterapkan adalah metode pembelajaran Jaringan Syaraf Tiruan dengan menggunakan fungsi training Levenberg-Marquardt. Hasil dari Tugas Akhir ini adalah menentukan warna lipstik pilihan pelanggan dari 10 pilihan warna yang ada. Setelah dilakukan uji coba ternyata aplikasi yang dibangun dapat melakukan proses pengenalan pola dan klasifikasi pada data training dengan rata-rata akurasi 60 dan proses ramalan terhadap data testing dengan rata-rata akurasi 51.


ABSTRACT

Often in real life there is a customer who wants to buy a cosmetic product in the form of lipstick can not decide or determine the color of lipstick that appropriate for him. In this situation the seller is expected to provide advice to the customer. To assist the seller in order to provide advice to customers then this final assignment will be made an application that can determine the type or color of lipstick that is right for the customer. Applications built with the process of pattern recognition classification and prediction in the case of existing data. Required input data contains information on skin color and age of the customer. The method which is applied in this application is learning method of neural networks using Levenberg-Marquardt training function. Results of this final assignment is to determine the color of lipstick customer choice of 10 color choices available. After testing are done applications that are built can perform the process of pattern recognition and classification on training data with an average accuracy of 60 and the prediction of testing data with an average accuracy of 51.



KeywordsKlasifikasi; Jaringan Syaraf Tiruan; Levenberg-Marquardt
 
Subject:  Jaringan saraf (ilmu komputer)
Contributor
  1. Bilqis Amaliah, S.Kom., M.Kom.
  2. Ahmad Saikhu, S.Si., M.T.
Date Create: 09/02/2011
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-Undergraduate-3100011042487
Collection ID: 3100011042487
Call Number: RSIf 006.3 Okt p


Source
Undergraduate Thesis, Informatics Engineering, RSIf 006.3 Okt p, 2011

Coverage
ITS Community

Rights
Copyright @2011 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




[ Download - Open Access ]

  1.  ITS-Undergraduate-15283-Abstract_id-pdf.pdf - 394 KB
  2.  ITS-Undergraduate-15283-Abstract_en-pdf.pdf - 399 KB
  3.  ITS-Undergraduate-15283-Conclusion-pdf.pdf - 401 KB
  4.  ITS-Undergraduate-15283-Paper1pdf.pdf - 578 KB
  5.  ITS-Undergraduate-15283-Paper-2pdf.pdf - 337 KB




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