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All Journal Jurnal Mantik Jurnal Teknimedia: Teknologi Informasi dan Multimedia
Wahyu Nugroho
MTI Universitas Amikom Yogyakarta
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Engineering Languange, Linguistic, Communication & Media

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Journal : Jurnal Teknimedia: Teknologi Informasi dan Multimedia

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SEGMENTASI PASAR KOPI MENGGUNAKAN METODE KNN DI INDONESIA Muhamad Maksum Hidayat; Wahyu Nugroho; Arief Setyanto
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 1 No. 1 (2020): Mei 2020
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.951 KB) | DOI: 10.46764/teknimedia.v1i1.12

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.
Co-Authors Arief Setyanto Dony Ariyus Muhamad Maksum Hidayat Muhamad Maksum Hidayat