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UEU » Undergraduate Theses » Sistem Informasi
Posted by [email protected] at 13/05/2022 15:08:16  •  1023 Views


PENGGUNAAN METODE ASOSIASI UNTUK PREDIKSI PERSEDIAAN BARANG PADA TOKO COLDWEAR (STUDI KASUS PT SENTRACO GARMINDO)

Created by :
Helda Selvy Anggraini ( 20170803085 )



SubjectMETODE ASOSIASI
PREDIKSI
PERSEDIAAN BARANG
Alt. Subject ASSOCIATION METHOD
PREDICTION
INVENTORY OF GOODS
KeywordData Mining
metode asosiasi
Algoritma Apriori
Weka

Description:

Toko Coldwear merupakan salah satu perusahaan yang bergerak dibidang ritel yang setiap harinya harus memenuhi kebutuhan konsumen dan dituntut untuk mengambil keputusan dalam menentukan strategi penjualan. Penelitian ini mengkaji penerapan metode asosiasi rule dan algoritma apriori pada dataset transaksi penjualan untuk membantu membentuk kandidat kombinasi antar item produk dalam rekomendasi produk bagi pelanggan. Algoritma apriori dapat menghasilkan aturan asosiasi sebagai acuan dalam menentukan strategi produk dan pendukung keputusan dalam memberikan rekomendasi strategi penjualan oleh pihak coldwear menggunakan aplikasi weka. Dari analisis tersebut dapat menghasilkan 10 rule terbaik dengan nilai confidence terbesar ialah 0,89.

Contributor:
  1. AGUNG MULYO WIDODO, ST, M.Sc
Date Create:13/05/2022
Type:Text
Format:PDF
Language:Indonesian
Identifier:UEU-Undergraduate-20170803085
Collection ID:20170803085


Source :
Undergraduate Theses of Computer Science

Relation Collection:
Fakultas Ilmu Komputer

Coverage :
Civitas Akademika Universitas Esa Unggul

Rights :
@2022 Perpustakaan Universitas Esa Unggul


Publication URL :
https://digilib.esaunggul.ac.id/penggunaan-metode-asosiasi-untuk-prediksipersediaan-barang-pada-toko-coldwearstudi-kasus-pt-sentraco-garmindo-25135.html




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  3.  UEU-Undergraduate-25135-HALAMAN PUBLIKASI.Image.Marked.pdf - 239 KB
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Algoritma , Algoritma Apriori , Apriori , Data , Data Mining , Mining , Weka , asosiasi , metode , metode asosiasi



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