Deteksi Tingkat Kematangan Tandan Buah Segar Kelapa Sawit dengan Algoritme K-Means

نویسندگان

چکیده

Oil extraction rate (OER) of fresh fruit bunches (FFB) palm oil is depend on the stage ripeness. The process detecting ripeness FFB has difficult by manually. Farmers find it to reach detect with eye, when tree tall. So farmers need a system that able maturity level based color. K-Means method capable clustering closest mean value centroid from number objects cluster k. Data obtained 2 plantations in East and North Kalimantan. In this study, four levels calculation elbow method. training data used study 80 data. test image 40 There are 36 appropriate classification so accuracy grouping using k-means segmentation 90%.

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ژورنال

عنوان ژورنال: SINTECH (Science and Information Technology) Journal

سال: 2022

ISSN: ['2598-7305', '2598-9642']

DOI: https://doi.org/10.31598/sintechjournal.v5i2.1146