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All Journal Majalah Ilmiah Teknologi Elektro Elkom: Jurnal Elektronika dan Komputer JOSIKOM : Jurnal Online Sistem Komputer SINTECH (Science and Information Technology) Journal JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Informasi dan Komputer International Journal of Engineering and Emerging Technology Community Development Journal: Jurnal Pengabdian Masyarakat MEANS (Media Informasi Analisa dan Sistem) Jurnal Pengabdian kepada Masyarakat Nusantara Community Empowerment JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Tika Jurnal Media Informatika Prosiding Konferensi Nasional PKM-CSR J-Intech (Journal of Information and Technology) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Seminar Ilmiah Nasional Teknologi, Sains, dan Sosial Humaniora (SINTESA) Seminar Nasional Aplikasi Iptek (SINAPTEK) J-Icon : Jurnal Komputer dan Informatika JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI) Paradharma: Jurnal Aplikasi IPTEK Majalah Ilmiah Teknologi Elektro
I Made Dwi Ardiada
Universitas Dhyana Pura
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : J-Intech (Journal of Information and Technology)

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Analisis Tingkat Kematangan Sangraian Biji Kopi Menggunakan Ekstraksi Fitur Warna Ade Saputra, I Gede Pramana; Rahayu, Prastyadi Wibawa; Ardiada, I Made Dwi
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1258

Abstract

This research aims to develop a digital image analysis system that can determine the level of maturity of roasted coffee beans, in terms of detecting roasted coffee beans that are suitable and not suitable for consumption and sold as quality coffee (special coffee) as stated in the coffee bean classification standards provided by SNI No. 01-2907-1999. This research aims to develop a digital image analysis system that can determine the level of maturity of roasted coffee beans in terms of color. The color feature extraction used in this research is the HSV (Hue Saturation Value) color space. This research began by collecting data in the form of 2D digital images of roasted coffee beans. The system developed in this research consists of two main stages, namely training and testing. The amount of coffee bean image data used was 90 images. The data used is in the form of images of coffee beans consisting of three levels, namely dark, light and medium. Classification uses the Naive Bayes algorithm. Based on the results of research on the analysis of coffee bean maturity levels, the highest training accuracy was 100% and the highest testing accuracy was 100%.
Co-Authors Ade Saputra, I Gede Pramana Adnyana, Gabriel Adnyana, Gabriel Firsta Agus Tommy Prawira Kusuma Ardiman, Andre Ariningsih, Ni Made Devi Cahyani, Ni Kadek Bernica Dwi Dian Pramana Gabriel Firsta Adnyana Gek Wulan Novi Utami Gerson Feoh Heltroyce, Chrisley I Gusti Ayu Agung Sinta Diarini I Nyoman Bernadus Ida Ayu Dwi Giriantari Jeven, Fabianus I Made Kelvin Hennry Loudry Malelak Kusuma, Agus Tommy Adi Prawira Lema, Hendro Made Pasek Agus Ariawan Made Sudarma Maria Margareta Owa Ndua, Doroteus Ebu Ni Putu Sri Merta Suryani Ni Wayan Sri Aryani Nyoman Ayu Nila Dewi, Nyoman Ayu Paroszynski, I Putu David Martinus Prastyadi Wibawa Rahayu Prawira Kusuma, Agus Tommy Adi Putra, I Putu Okky Widiana Putri, Ni Putu Meliyoni Anggara Putu Adi Saputra Putu Bigita Ayu Melani Putu Chris Susanto Putu Salman David Putu Wida Gunawan Rudianto, Wayan Sari, Ni Kadek Putri Tonyjanto, Christian Yanu Prapto Sudarmojo