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All Journal Profit: Jurnal Manajemen, Bisnis dan Akuntansi
Sephia Maharani
Universitas Buana Perjuangan Karawang
Economics, Econometrics & Finance

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Penerapan Strategi Pelayanan Di Starbucks Ida Royani; Sephia Maharani; Santi Pertiwi Hari Sandi; Dwi Epty Hidayaty
Profit: Jurnal Manajemen, Bisnis dan Akuntansi Vol. 2 No. 3 (2023): Agustus : Profit : Jurnal Manajemen, Bisnis dan Akuntansi
Publisher : UNIVERSITAS MARITIM AMNI SEMARANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58192/profit.v2i3.989

Abstract

Coffee is one of the most popular beverages in many places. The development of coffee cultivation in Indonesia has grown rapidly, in 2016, about 633 thousand tons of coffee were produced and in 2017, 636.7 thousand tons, which means that the growth was about 0.74%. Arabica and Robusta are the coffee species that account for most of the world's coffee trade. There are differences between Arabica and Robusta coffees both in terms of taste and the shape of the beans. Many coffee sellers and vendors do not know the difference. Therefore, to avoid mistakes when choosing coffee beans, you need software that helps distinguish types of coffee beans based on their shape. As an alternative software, image processing using the artificial neural network method can be used. This study looks at how the software detects the pattern of the coffee bean image using a morphological method using quantitative learning methods. The feature vectors used were width, height, width, mean, variance and standard deviation. The class classification is divided into the image class of Arabica coffee beans and the image class of Robusta coffee beans, with an average recognition result during the testing process of 97%
Co-Authors Dwi Epty Hidayaty Ida Royani Santi Pertiwi Hari Sandi