IMPLEMENTASI METODE KLASIFIKASI NAIVE BAYES UNTUK MEMPREDIKSI KUALITAS CABAI
DOI:
https://doi.org/10.35316/jimi.v1i1.441Keywords:
naive bayes classifer, color, stalk, maturityAbstract
Image processing can proces many colors in the fruit, especially in fruit of chili. There are several colors contained in the chili fruit that is green, orange and red. Chilies are not predictable price because the chili have fluctuate prices, the chili can be determined is only the quality. The main parameters of this research are chili size and color of the chili, because these fitures can be processed to get output, namely the prediction of the chili quality.
Some processes be used to predict the chili. These processes are extraction of color RGB, LAB conversion of to RGB and Grayscale, level adjustment, color Region. Some of these processes do to get a percentage of the stalk (after being separated by body of the chili) and percentage of the maturity.
The last proces is classifying the chili that have been obtained percentage of stalk and maturity then using Naive Buyes Classifier metod for classifying to four kind fo quality, namely quality A, B, C and D. These qualities classification are A : consists of red chilies or ripe chili that has big size, B : consists of measuring big green chili, C : consists of small pieces of red chili and D : comprises small green chili.
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References
Ahmad, Usman, 2005, Pengolahan Citra Digital dan Teknik Pemrogramannya, Graha Ilmu, Yogyakarta.
Basuki, Achmad, 2005, Pengolahan Cira Digital Menggunakan Visual Basic, Yogyakarta, Graha Ilmu.
Farag Ibrahim Younis Elnagahy, 2011, “Connected Components Labeling Algorithm Based on Span Tracking”, Canadian Journal on Image Processing and Computer Vision Vol. 2 No. 7, November 2011
Finish Revita Ganidar, Evita Devi Martinuva, Indrahidayati, Nur Rohmah, Karid Nurvenus, Sukarjo, 2013, “Klasifikasi Bawang Merah, Putih, Bombay Menggunakan Metode Naive Bayesian Classifier”, Fakultas Program Teknologi Informasi dan Ilmu Komputer, Universitas Brawijaya, Malang, 65145, Indonesia.
He LF, Chao YY, Suzuki K., 2013, “An Algorithm For Connected-Component Labeling, Hole Labeling And Euler Number Computing”. Journal Of Computer Science And Technology 28 (3): 468 {478 May 2013. DOI 10.1007/s11390-013-1348-y
Masud Karim, Rashedur M. Rahman, “Decision Tree and Naïve Bayes Algorithm for Classification and Generation of Actionable Knowledge for Direct Marketing”, Journal of Software Engineering and Applications, 2013, 6, 196-206.
Monika Sharma, Vibhuti P N Jaiswal, Amit Goyal, 2013, “Fruit Detection with Multiple Features using Fuzzy Logic”, ISSN: 2277 128X, Volume 3, Issue 11, November 2013, International Journal of Advanced Research in Computer Science and Software Engineering.
Ms.Rupali S.Jadhav, PROF. S.S.Patil, 2013, “A Fruit Quality Management System Based On Image Processing, IOSR Journal of Electronics and Communication Engineering”. (IOSR-JECE), e-ISSN: 2278-2834,p- ISSN: 2278-8735. Volume 8, Issue 6 (Nov. - Dec. 2013), PP 01-05 www.iosrjournals.org
Rachili, Muhammad., 2007, “Email Filtering Menggunakan Naive Bayesian”, Bandung : Tugas Akhir Jurusan Teknik Elektro Institut Teknologi Bandung.
Radha B. Randive, A. N. Holambe, 2013, “Edge Detection With Bilateral Filtering For Fruit Grading Using Spiral Architecture”, International Journal of Advanced Computational Engineering and Networking, ISSN: 2320-2106 Volume- 1, Issue- 6.
Sianipar, RH., S.T,M.T, M,Eng, Ph.D, 2013, Pemrograman Matlab dalam Contoh dan Penerapan, Informatika, Bandung.
https://ditut113070242.wordpress.com/2011/03/22/algoritma-naive-bayes-classification, 17 Juni 2015.
