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Riza Alfita
Universitas Trunojoyo Madura
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

 1 
Ekstrasi Fitur Daun Tembakau Berbasis Discrete Cosine Transform (DCT) Rosida Vivin Nahari; Arda Surya Editya; Riza Alfita
Journal of Applied Informatics and Computing Vol 4 No 1 (2020): Juli 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (831.819 KB) | DOI: 10.30871/jaic.v4i1.1756

Abstract

The success of the tobacco leaf classification process is very dependent on the extraction of tobacco leaf features. Several stages of digital image processing can improve the ability to identify the best quality tobacco automatically through extracting leaf texture features. This study aims to apply the leaf texture feature extraction system using the Discrete Cosine Transform method. Classification results measure the accuracy of the success of the system in extracting the best texture features. The classification of tobacco leaves requires extensive knowledge and complex terminology, even professional graders require significant time in this field for mastery of the subject. This is because tobacco leaves are usually considered to have characteristics that are useful for identification of tobacco quality where the extraction of appropriate features through leaf images can be considered a research problem that plays an important role for classification. The proposed research aims to find a suitable extraction model for obtaining color features through YCbCr color space conversion and tobacco leaf texture obtained from the transformation of the Discrete Cosine Transform frequency space. On classification stage in this research uses the maximum likelihood method. The trial results show an accuracy of success in the classification of tobacco leaves by 90% through the extraction of 12 features.
Co-Authors - Haryanto Abdul Rozaq Achmad Fiqhi Ibadillah Achmad Jauhari, Achmad Achmad Ubaidillah Achmad Ubaidillah MS Adi Kurniawan Saputro Adi Kurniawan Saputro Aery Rachmad, Aery Aji Wibisono, Kunto Aji, Kunto Andi Pratama, Febrian Arda Surya Editya Ardiansyah, Yul Aris Jujur Prasetyo Choirony, Iklil Vurqon Choirudin, Muhamat Darmawan, Fajar Dwika Dedy Prasetyo Deni Tri Laksono Diana Rahmawati Diana Rahmawati Diana Rahmawati Diana RahmawatiT, Dikhyak Falakhul Akmal, M. Dina Zurayda Erari, Yosua Evita, Clarisna Farid Amir Marzelly Faswia Fahmi, Monika Felix Konstantin Niel Basori Fiqhi Ibadillah , Achmad Fiqhi Ibadillah, Ahmad Firly Abdillah, Fauzan Firman Mardiansyah Giri, Joseph Robert Hafid Wihangga Hairul Anam Hardiwansyah, Muttaqin Harianto Hariyanto, Mohammad Slamed Harnyoto, Harnyoto Haryanto HARYANTO Haryanto - Haryanto Haryanto Haryanto, Haryanto Heri setiawan Hidayah, Muhammad Nurul Hidayatulloh, Mohammad Hujjatur Rofiq Husniyah, Faridatul Ibadillah, Achmad Fiqi Indra Dwi Setiawan Ivan Dwi Cahyo Jaka Tryangga K Kartika Kartika Khabibiy, Odiy Syahnurrokhim Khotibul Umam Koko Joni Kunto Aji Kunto Aji Wibisono Kunto Aji Wibisono Kunto Aji Wibisono Kunto Aji Wibowo KURIAWAN, ADI Kurniawan S., Adi Kurniawan Saputro, Adi KUSUMA, M.KURNIAWAN HADI Lutqin, Jamal Mahmudi, Muhammad Imam Marzelly, Farid Amir MASLIKAH, SITI Maulana, Ahmad Afan MIFTACHUL ULUM Miftachul Ulum, Miftachul Minggu, Desiderius Mirza Pramudia Muhammad , Dian Purnomo Muhammad A’inul Yaqin Muhammad Bahriyan Firdaus Muhammad Nurul Hidayah Muhammad Rinaldi Neipa P., Dian Ningtias, Trisni Wahyu Nur Rohman, Mohammad Izhandi Ifan Oryza Sativa Prasetyo, Galih Adhi Prianto, Aries R. Gerry Franata Rachmat Setiawibawa Rasyid, Moch Fadlian Retno Diyah Pramana Sari ROSIDA VIVIN NAHARI Saputra, Ahmad Reza Sukri, Hanifudin Tri Laksono, Deni Tri Lindah Utari Ubaidillah, Achmad Ulum, Miftachul ulum, miftahul Vivin Nahari, Rosida Yasin, Mohammad Yasin harianto Yundari, Yundari Zain Nur, Achmad