Quality Detection of Citrus Reticulata Using K-Nearest NeighbourMethod

Dwi Putro Sarwo Setyohadi, Trismayanti Dwi Puspitasari, Hendra Yufit Riskiawan, Alan Rifai

Abstrak


Sorting or selection is one of a series of post-harvest activities which are generally carried out on a packing ward or in a garden with the aim of separating suitable and unfit fruit to be marketed. Sorting is also carried out to meet the quality requirements set by the government or  market.  Sorting  process  usually  using  a  manual  method.  This  is  less  efficient  because sometimes the fruit is not sorted properly, resulting in good quality sorted at poor quality. Based on that, technology is needed that can help farmers in detection the quality of citrus fruits. Digital image processing is one technique that can be used to identify the quality of citrus reticulata. KNN is a method uses a supervised algorithm that stores all available cases and classifies new cases based on a similarity measure. The purpose of this algorithm is to identify new objects based on attributes and training data. The accuracy of this application is 100% for k 3 and 93% for k 5.

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Sutopo. 2011. Panen dan Pascapanen Jeruk. Balai Penelitian Tanaman Jeruk dan Buah Subtropika: Badan Penelitian dan Pengembangan Pertanian. http://balitjestro.litbang.pertanian.go.id/panen-dan pascapanenjeruk/

[August 2018].

Kementrian Pertanian, 2015, Rencana Strategis Kementrian Pertanian Tahun 2015 – 2019, Kementrian Pertanian. P339.

Puspitasari, TD., An Expert System for Diagnosis of Pest and Disease in Citrus Auntarium. 2017. Asean Youth 2017 Conference. Vol 1. ISSN 2599-2643.

Enrique M and Jose B, 2016, Computer Vision Technology for Food Quality Evaluation, Edition 2, United Kingdom, Academic Press, 658.

Kpodo F M, Mensah C and Dzah C S, 2015, Fruit and vegetable consumption patterns and preferences of students in a Ghanaian Polytechnic, World Journal of Nutrition and Health,3, [3],53-59, 10.12691/jnh-3-3-2.

Maria R Kosseva, V.K Joshi and P.S Panesar, 2017, Science and Technology of Fruit Wine Production, United Kingdom, Academic Press, 705.

SNI 3165:2009.2009. Jeruk Keprok. Badan Standarisasi Nasional – BSN: Jakarta

Glacier,M.-.Image Processing. http://www.appstate.edu/~marshallst/GLY3455/lectures/9_Image_Processing.pdf. Access [August 24 2018]

Arifianto, AS., Taufiq Rizaldi, Muhammad Yuris. 2016. Klasifikasi Citra Buah Apel Batu Menggunakan Teknik Digital Image Processing Berdasarkan Fitur Warna HIS. Seminar Hasil Penelitian dan Pengabdian

Masyarakat 2016 Politeknik Negeri Jember.

Riskiawan, HY., Taufiq Rizaldi, Dwi Putro S Setyohadi, Tri Leksono. 2017. Nitrogen

Destarianto, P., Riskiawan, H.Y., Agustianto, K. and Kautsar, S., 2017, November. Developing food sensory test system with preference test


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