BAHARANI, SITI NURFIA (2023) DETEKSI TINGKAT KEMATANGAN BUAH MELINJO MENGGUNAKAN METODE ALGORITMA SELF ORGANIZING MAP. S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.
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Abstract
Melinjo is widespread in Indonesia. Melinjo fruit changes color from unripe to very ripe. The process of selecting harvests for both farmers, the community and those involved in melinjo fruit SME activities generally chooses melinjo as the basic ingredient for a product for making emping, still manually using normal human vision. and has disadvantages such as the relatively long time required and producing diverse products due to the level of human fatigue. The development of scientific technology and digital image processing technology can be applied to sort fruit from the harvest automatically with the help of image processing applications. The aim of this research is to build a system to classify the level of ripeness of melinjo fruit through the use of the Self Organizing Map Algorithm and extraction of RGB HSV features with the help of the MATLAB image processing application. Detection of the maturity level of melinjo fruit has 4 levels of maturity, namely raw, semi-ripe, ripe, and very ripe. This research uses 200 images, 80% training data and 20% testing data. Based on the test results, an accuracy level of 97.5% was obtained, then specificity was 99.16% and sensitivity was 97.5%.
| Item Type: | Thesis (S1) | |||||||||
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| Additional Information: | Melinjo tersebar luas di Indonesia. Buah Melinjo mengalami perubahan warna dari mentah hingga sangat matang. Proses dari pemilihan hasil panen baik petani, masyarakat, pelaku kegiatan umkm buah melinjo pada umumnya memilih melinjo sebagai bahan dasar suatu produk pembuatan emping masih manual menggunakan penglihatan manusia normal. dan memiliki kekurangan seperti waktu yang dibutuhi relatif lama dan menghasilkan produk beragam dikarenakan tingkat kelelahan manusia. Perkembangan teknologi ilmu pengetahuan serta teknologi pengolahan citra digital bisa diterapkan agar memilah buah dari hasil panen secara otomatis lewat bantuan aplikasi pengolah citra. Tujuan penelitian ini ialah membangun sebuah sistem agar mengklasifikasi tingkat kematangan buah melinjo lewat penggunaan cara Algoritma Self Organizing Map dan ekstraksi fitur RGB HSV dengan bantuan aplikasi pengolah citra MATLAB. Deteksi tingkat kematangan buah melinjo memiliki 4 tingkat kematangan, yakni mentah, setengah matang, matang,dan sangat matang. Penelitian ini memakai 200 citra, 80% data training dan 20% data testing. Berdasar hasil pengujian diperoleh tingkat accuracy 97,5% kemudian specificity 99,16% dan sensitifity 97,5%. | |||||||||
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | 03-Fakultas Teknik 03-Fakultas Teknik > 20201-Jurusan Teknik Elektro |
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| Depositing User: | SITI NURFIA BAHARANI | |||||||||
| Date Deposited: | 26 Oct 2023 14:50 | |||||||||
| Last Modified: | 26 Oct 2023 14:50 | |||||||||
| URI: | http://eprints.untirta.ac.id/id/eprint/30623 |
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