Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf Tiruan
Papaya is one of the fruits that grows in the tropics area, one of the kinds that people’s love the most is papaya California. The quality identification of papaya California fruit can be measured using color, defect, and size. Color, defect and size extracted from image of papaya. The dataset that...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
LPPM ISB Atma Luhur
2021-03-01
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| Series: | Jurnal Sisfokom |
| Subjects: | |
| Online Access: | http://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/1105 |
| _version_ | 1797281816336400384 |
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| author | Muhammad Ezar Al Rivan Gabriela Repca Sung |
| author_facet | Muhammad Ezar Al Rivan Gabriela Repca Sung |
| author_sort | Muhammad Ezar Al Rivan |
| collection | DOAJ |
| description | Papaya is one of the fruits that grows in the tropics area, one of the kinds that people’s love the most is papaya California. The quality identification of papaya California fruit can be measured using color, defect, and size. Color, defect and size extracted from image of papaya. The dataset that used in this research are 150 images papaya California. The dataset consist of 3 quality there are good, fair and low. Identification of papaya using the backpropagation neural network method with 17 training function in each training data with 3 different neurons in the hidden layer. The best result of the test is using training function trainrp with 10 neurons is 81,33% for accuracy, 73,37% for precision, and 72% for recall, with 20 neurons is 82,67% for accuracy, 75,24% for precision, and 74% for recall, and with 25 neurons is 80,89% for accuracy, 74,42% for precision, and 71,33% for recall. |
| first_indexed | 2024-03-07T17:02:54Z |
| format | Article |
| id | doaj.art-71ff4020bc17475ca886d79ebfd4b820 |
| institution | Directory Open Access Journal |
| issn | 2301-7988 2581-0588 |
| language | English |
| last_indexed | 2024-03-07T17:02:54Z |
| publishDate | 2021-03-01 |
| publisher | LPPM ISB Atma Luhur |
| record_format | Article |
| series | Jurnal Sisfokom |
| spelling | doaj.art-71ff4020bc17475ca886d79ebfd4b8202024-03-03T03:15:56ZengLPPM ISB Atma LuhurJurnal Sisfokom2301-79882581-05882021-03-01100111311910.32736/sisfokom.v10i1.1105Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf TiruanMuhammad Ezar Al Rivan0 Gabriela Repca Sung1STMIK Global Informatika MDP STMIK Global Informatika MDP Papaya is one of the fruits that grows in the tropics area, one of the kinds that people’s love the most is papaya California. The quality identification of papaya California fruit can be measured using color, defect, and size. Color, defect and size extracted from image of papaya. The dataset that used in this research are 150 images papaya California. The dataset consist of 3 quality there are good, fair and low. Identification of papaya using the backpropagation neural network method with 17 training function in each training data with 3 different neurons in the hidden layer. The best result of the test is using training function trainrp with 10 neurons is 81,33% for accuracy, 73,37% for precision, and 72% for recall, with 20 neurons is 82,67% for accuracy, 75,24% for precision, and 74% for recall, and with 25 neurons is 80,89% for accuracy, 74,42% for precision, and 71,33% for recall.http://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/1105artificial neural networkbackpropagationidentification qualitypapaya |
| spellingShingle | Muhammad Ezar Al Rivan Gabriela Repca Sung Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf Tiruan Jurnal Sisfokom artificial neural network backpropagation identification quality papaya |
| title | Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf Tiruan |
| title_full | Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf Tiruan |
| title_fullStr | Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf Tiruan |
| title_full_unstemmed | Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf Tiruan |
| title_short | Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf Tiruan |
| title_sort | identifikasi mutu buah pepaya california carica papaya l menggunakan metode jaringan syaraf tiruan |
| topic | artificial neural network backpropagation identification quality papaya |
| url | http://jurnal.atmaluhur.ac.id/index.php/sisfokom/article/view/1105 |
| work_keys_str_mv | AT muhammadezaralrivan identifikasimutubuahpepayacaliforniacaricapapayalmenggunakanmetodejaringansyaraftiruan AT gabrielarepcasung identifikasimutubuahpepayacaliforniacaricapapayalmenggunakanmetodejaringansyaraftiruan |