KLASIFIKASI KEMATANGAN BUAH KOPI ROBUSTA MENGGUNAKAN HYPER SAUSAGE NEURON NETWORK (HSNN)

WIJAYA, ARY MARTHA and Samsuryadi, Samsuryadi and Yusliani, Novi (2018) KLASIFIKASI KEMATANGAN BUAH KOPI ROBUSTA MENGGUNAKAN HYPER SAUSAGE NEURON NETWORK (HSNN). Undergraduate thesis, Sriwijaya University.

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Abstract

Classification ripe of coffee beans on harvesting process is very important. This process is extremely influential on the quality of coffee beans. This study has developed software about classification ripe of Robusta coffee beans by using Myper Sausage Neuron Network (HSNN). Input image is digital photo of coffee beans with black and white background. First, image of coffee beans will be characterized extracted by using Fuzzy Color Histogram which is produce set of feature vectors that is used as input vector. After feature vectors have got and then training process with HSNN to get score which is used as knowledge. Results of classification by using HSNN with I 00 of pretest data and 50 data test reaches the accuracy about 96 %, meanwhile addition of pretest data become 150 and data test srill increase 4 %. This result show that selection of right method and addition of right method and addition of pretest data, it can increase the accuracy.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Processing Image Digital, Hyper Sausage Neuron Network, Fuzzy
Subjects:	R Medicine > R Medicine (General) > R858-859.7 Computer applications to medicine. Medical informatics
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	11 Sep 2019 02:58
Last Modified:	11 Sep 2019 02:58
URI:	http://repository.unsri.ac.id/id/eprint/7024

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