Silvia, Mega (2021) Sistem Identifikasi Tingkat Kematangan Buah Naga (Hylocereus Spp) Dengan Metode Naïve Bayes Skripsi. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
Dragon fruit is one of the fruits in Indonesia with the number of demandfor fruit increasing every year with an annual productivity of 24-30 tonnes/ha. However, the conventional identification process for dragon fruit maturity has many obstacles due to the subjective nature of fruit selection or a lack of understanding of knowledge in choosing ripe fruit resulting in less accurate selection of dragron fruit. Researcher are trying to create system that can clasify the maturity of dragron fruit using Naïve Bayes with nine parameter, 1 parameter from the extraction of color feature, namely : green and eight input parameters GLCM features :entropy 0 0 , entropy 450 , entropy 900 , entropy 1350 , contrast 0 0 , contrast 450 , contrast 900 andcontrast 1350 .The research aims to make easier to identify the level of maturity of dragon fruit, considering that the quality of fruit ripeness is felt directly by the customer as the most important indicator of quality. The result of the classification system of identification maturity of dragron fruit using Naïve Bayes found the highest accuracy was 87,36%. Key words: Dragon fruit, GLCM, Naïve Bayes, Color Feature
| Item Type: | Thesis (Undergraduate) | ||||||
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| Uncontrolled Keywords: | Dragon fruit, GLCM, Naïve Bayes, Color Feature | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika | ||||||
| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Mega Silvia | ||||||
| Date Deposited: | 07 Jun 2021 04:00 | ||||||
| Last Modified: | 11 Jun 2021 04:04 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/4947 |
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