ANALISIS PERILAKU KONSUMEN DEWASA MUDA DI SURABAYA DAN MALANG DALAM PEMBELIAN PAKAIAN OLAHRAGA MENGGUNAKAN DATA MINING

SURYAWIJAYA, IWAN (2022) ANALISIS PERILAKU KONSUMEN DEWASA MUDA DI SURABAYA DAN MALANG DALAM PEMBELIAN PAKAIAN OLAHRAGA MENGGUNAKAN DATA MINING. Masters thesis, UNIVERSITAS MA CHUNG.

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Abstract

Garment is one of the industries in Indonesia that helps the country's growth. When buying sportswear, every consumer has different behavior. The sports industry in Indonesia continues to grow rapidly. Each sportswear has a different dimensional aspect and has a different impression quality. In Indonesia, there is no research that explains the aspects that must be attached to a type of sportswear.The data collection process is carried out by collecting respondents according to the desired target respondents, namely men and women in the metropolitan city of Surabaya and the on�metropolitan city of Malang. With a predetermined age range between 18-25 years. Data processing is carried out by preprocessing data mining so that data mining classification and association can be carried out. Mining data processing is done using Rapidminer software. The questionnaire was divided into two, namely the questionnaire on buying patterns of clothing and the questionnaire on aspects of
sportswear.The results of the analysis using the data mining classification method showed that the decision tree of the pattern of buying men's clothing was more inclined
to choose clothes made of polyester, dryfit, nylon, and cotton. Meanwhile, women are more inclined to choose clothes made of polyester, dryfit, nylon, cotton, and spandex.
Aspects on the sportswear needed are divided into 5, namely very unimportant, unimportant, neutral, important, and very important. Aspects obtained from sportswear for swimming, bicycles, jogging can be used as a reference for companies
in making clothes that are suitable for consumers. The results of processing association rules from the sportswear questionnaire that are most often purchased are obtained 10
rules or rules. Where the ten rules are close to confidence 1 which means a high level of precision.Keywords: Aspects of clothing, data mining, questionnaires, sportswear

Item Type: Thesis (Masters)
Additional Information: TUGAS AKHIR
Subjects: T Technology > T Technology (General)
Divisions: Fakultas Teknologi dan Desain > S1 Teknik Industri
Depositing User: Surya
Date Deposited: 16 Dec 2024 08:08
Last Modified: 16 Dec 2024 08:08
URI: http://repository.machung.ac.id/id/eprint/635

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