Klasifikasi Kematangan Tanaman Hidroponik Pakcoy Menggunakan
Metode SVM

Klasifikasi Kematangan Tanaman Hidroponik Pakcoy Menggunakan
Metode SVM

Classification, Pakcoy, Machine learning, SVM

Pakcoy is a type of vegetable plant belonging to the Brassica family. Pakcoy plants can be cultivated using hydroponic
techniques, namely plant cultivation techniques without soil media. The advantage of cultivating Pakcoy plants using
hydroponic techniques is that it does not require a large area of land, so it is easy to apply in the yard. However, cultivation
with hydroponic techniques has drawbacks such as farmers need to make regular observations to determine the harvest
readiness of each plant. This causes a lack of effectiveness of farmers in cultivating Pakcoy plants. With the development of
Machine Learning technology, a model can classify the maturity of Pakcoy plants based on digital image data. By applying
the Support Vector Machine (SVM) Algorithm, the Machine Learning model can learn to classify a digital image of Pakcoy
plants with the category "Small" to represent immature Pakcoy plants and "Large" to represent mature Pakcoy plants which
results in an accuracy level of above 79%. It can be concluded that Machine Learning can be implemented in Pakcoy cultivation
activities to support hydroponic farmers.

Hanin Latif Fuadi1
, Lukman Priyambodo2
, Tasya Enjelika Saputri3
, Naura Nazhifah4
, Angga Bagus Prawira5
,
Ibrohim Huzaimi6
, Mas Aly Afandi7
, Eka Setia Nugraha8
, Agung Wicaksono9
, Petrus Kerowe Goran

Institut Teknologi Telkom Purwokerto

27-02-2022

Fajar bagus W

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Indonesia

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