Pendekatan Multivariat untuk Pengukuran Kualitas Tomat (Lycopersicon esculentum) Berdasarkan Parameter Warna Pendekatan Multivariat untuk Pengukuran Kualitas Tomat (Lycopersicon esculentum) Berdasarkan Parameter Warna

https://doi.org/10.22146/agritech.9660

Rudiati Evi Masithoh(1*), Budi Rahardjo(2), Lilik Sutiarso(3), Agus Hardjoko(4)

(1) Jurusan Teknik Pertanian, Fakultas Teknologi Pertanian, Universitas Gadjah Mada, Jl. Flora No 1, Yogyakarta 55281
(2) Jurusan Teknik Pertanian, Fakultas Teknologi Pertanian, Universitas Gadjah Mada, Jl. Flora No 1, Yogyakarta 55281
(3) Jurusan Teknik Pertanian, Fakultas Teknologi Pertanian, Universitas Gadjah Mada, Jl. Flora No 1, Yogyakarta 55281
(4) Program Studi Elektronika dan Instrumentasi, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Gadajah Mada, Jl. Sekip Utara, Yogyakarta 55281
(*) Corresponding Author

Abstract


In this study, multivariate linear regression (MLR) was used to predict the content of Brix, total carotene, citric acid,and vitamin C of tomato based on RGB color parameters. Tomatoes were stored at 6 °C and 28 °C then their quality parameters were measured. R, G, and B values were measured non-destructively using computer vision system developed in the previous study. Brix, total carotene, citric acid, and vitamin C were determined by conventional procedures in the laboratory. Data analysis showed that the MLR calibration models could be used to predict Brix, total carotene, citric acid, and vitamin C with R2  of  0.77and 0.72, 0.902 and 0.85, 0.71 and 0.77, as well as 0.88 and 0.82 for temperature of 6 °C and 28 °C, respectively.

ABSTRAK

Pada penelitian ini, multivariate linier regression (MLR) digunakan untuk memprediksi kandungan Brix, karoten total,asam sitrat, dan vitamin C dari tomat berdasarkan parameter warna RGB. Tomat disimpan pada suhu 6 °C dan 28 °C kemudian diukur parameter kualitasnya. Nilai R, G, dan B diukur secara non-destructive dari computer vision system yang dikembangkan pada penelitian sebelumnya. Parameter kualitas Brix, karoten total, asam sitrat, dan vitamin C ditentukan secara destructive dengan prosedur konvensional di laboratorium. Analisis data menunjukkan bahwa model kalibrasi MLR dapat digunakan untuk memprediksi Brix, karoten total, asam sitrat, dan vitamin C dengan R2 sebesar0,77dan 0,72, 0,902 dan 0,85, 0,71 dan 0,77, serta 0,88 dan 0,82 untuk suhu 6 °C dan 28 °C secara berturutan.


Keywords


Multivariate Linier Regression; tomato; Red-Green-Blue

Full Text:

PDF



DOI: https://doi.org/10.22146/agritech.9660

Article Metrics

Abstract views : 446 | views : 818

Refbacks

  • There are currently no refbacks.




Copyright (c) 2016 Jurnal Agritech

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Agritech has been Indexed by:


Agritech (print ISSN 0216-0455; online ISSN 2527-3825) is published by Faculty of Agricultural Technology, Universitas Gadjah Mada in colaboration with Indonesian Association of Food Technologies.


website statisticsView My Stats