Jurnal Teknimedia: Teknologi Informasi dan Multimedia
Vol. 1 No. 1 (2020): Mei 2020

SEGMENTASI PASAR KOPI MENGGUNAKAN METODE KNN DI INDONESIA

Muhamad Maksum Hidayat (MTI Universitas Amikom Yogyakarta)
Wahyu Nugroho (MTI Universitas Amikom Yogyakarta)
Arief Setyanto (MTI Universitas Amikom Yogyakarta)



Article Info

Publish Date
23 May 2020

Abstract

Coffee is one of the most widely consumed plantation commodities in Indonesia and has great opportunities to be developed, especially in the field of market development. The thing that becomes an obstacle for coffee entrepreneurs is the right segmentation of the coffee market with the vast Indonesian state. This study aims to segment the coffee market in Indonesia by utilizing coffee image data available on Instagram social media with image classification using the K-Nearest Neighbor algorithm and histogram feature extraction, so as to determine the exact coffee market segmentation in Indonesia.

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Journal Info

Abbrev

teknimedia

Publisher

Subject

Computer Science & IT Control & Systems Engineering Engineering

Description

JURNAL TEKNIMEDIA : Teknologi Informasi dan Multimedia terbitan berkala ilmiah nasional diterbitkan oleh STMIK Syaikh Zainuddin NW Anjani. Tujuan diterbitkannya Jurnal TEKNIMEDIA adalah untuk memfasilitasi publikasi ilmiah dari hasil penelitian-penelitian di Indonesia serta ikut mendorong ...