Penentuan Kualitas Buah Jeruk (Citrus Sinensis L) Menggunakan Teknologi Laser Photo-Acoustics (LPAS) Dengan Metode Support Vector Machine (SVM)

Dian Sri Bintang Hasiholan Manihuruk, Darwin Darwin, Agus Arip Munawar

Abstract


Abstrak.  Penelitian ini bertujuan untuk mengetahui kandungan vitamin C dan kadar gula pada buah jeruk dengan menggunakan teknologi Laser Photo Acoustics. Penelitian ini menggunakan sampel buah jeruk manis sebanyak 20 buah dengan empat indeks yaitu indeks pertama tidak matang (TM), setengah matang (SM), matang (M) dan matang sekali (MS).  Hasil penelitian menunjukan bahwa panjang gelombang yang diperoleh dalam menduga kadar vitamin C dan kadar gula dikisaran 4418 cm-1 - 4595 cm-1. Selanjutnya prediksi kadar gula terbaik mendapatkan (R2) sebesar 0.769, (r) sebesar 0.877, RMSEC 0.803 sedangkan RPD 2.09 yang tergolong Good Model Performance. Sedangkan untuk vitamin C mendaptkan koefisien determinasi (R2) 0.6182, koefisien kolerasi (r) sebesar 0.7862 dengan RMSEC 0.0231 sedangkan rasio RPD sebesar 1.61 yang merupakan prediksi yang masih kasar. Berdasarkan hasil penelitian yang dilakukan untuk aplikasi teknologi laser photo acoustics dapat disimpulkan bahwa teknologi laser dapat mendeteksi kandungan vitamin C dan Kadar gula pada jeruk.

Determination of the Quality of Oranges (Citrus sinensis L.) Using Laser Photo Acoustics (LPAS) Technology with the Support Vector Machine (SVM)

Abstract. This research aims to determine the content of vitamin C and sugar levels in citrus fruits using Laser Photo Acoustics technology. This study used a sample of 20 sweet oranges with four indices, the first index was not mature (TM), half cooked (SM), mature (M) and very mature (MS).The results showed that the wavelength obtained in estimating vitamin C levels and sugar levels in the range 4418 cm-1 - 4595 cm-1. Furthermore, the best sugar content prediction gets (R2) of 0.769, (r) of 0.877, RMSEC 0.803 while RPD 2.09 is classified as Good Model Performance. Whereas for vitamin C the determination coefficient (R2) 0.6182, the correlation coefficient (r) is 0.7862 with RMSEC 0.0231 while the RPD ratio is 1.61 which is a rough prediction. Based on the results of the research carried out for the application of photo acoustics laser technology it can be concluded that laser technology can detect the content of vitamin C and sugar content in oranges.



Keywords


Citrus Sinensis L; Vitamin C; Kadar Gula buah; Laser photo acoustics; Support Vector Machine

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References


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DOI: https://doi.org/10.17969/jimfp.v4i2.10945

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E-ISSN: 2614-6053 2615-2878 Statistic Indexing | Citation


Alamat Tim Redaksi:
Fakultas Pertanian,Universitas Syiah Kuala
Jl. Tgk. Hasan Krueng Kalee No. 3, Kopelma Darussalam,
Banda Aceh, 23111, Indonesia.
Email:jimfp@unsyiah.ac.id