Rizky Ramadani Dwi Utari

Jurusan Teknik Pertanian, Universitas Jember, Jember, Indonesia

Dedy Wirawan Soedibyo

Jurusan Teknik Pertanian, Universitas Jember, Jember, Indonesia

Dian Purbasari

Jurusan Teknik Pertanian, Universitas Jember, Jember, Indonesia

DOI: https://doi.org/10.19184/j-agt.v12i02.9279

ABSTRACT 

In the storage processes strawberries experiences detrimental changes so that they can affect the quality of fruit. This change can be detected by testing the physical and chemical properties in particular shelf life period. In generally the measurement of physical and chemical properties are done manually andcausing damage to the object being observed (destructive method). Based on description above, it is necessary to measure non-destructive method using digital image processing. This study aimed to identify the relationship between physical and chemical propertiesvariables and image quality variables (area, height, widht, perimeter red index andblue index) based on 0, 1, and 2 days shelf life using an image processing program. The sample used in this study were 155 pieces strawberry from A quality. The strawberry image was taken by using a CCD camerathen extracted using SharpDevelop 4.2 software. Physical and chemical properties of the strawberry were measured using digital O'hauss pioneer scales, penetrometer, refractometer and pH meter to obtain data on weight, hardness, total dissolved solids and acidity (pH). Correlation test results indicated from strong to very strong relationship between physical and chemical properties variablesand image quality variables with a range of correlation coefficient values ​​from 0,725 to 1,000. Image quality variables that could be used as input for estimating shelf life was blue index, with validation test resulted 87,7%total accuracy.      

Keywords: characteristics, chemical, image processing, physical, shelf life, strawberry 

REFERENCES

Ahmad, U. 2005. Pengolahan Citra Digital & Teknik Pemrogramannya. Terbitan Pertama. Graha Ilmu, Yogyakarta.

Badan Pusat Statistika. Tabel impor komoditi. (www.bps.go.id/site/resultTab). [Diakses tanggal 07 Mei 2017].

Balitjestro (Balai Penelitian Tanaman Jeruk dan Buah Subtropika). 2015. Peningkatan kualitas buah segar stoberi melalui penanganan panen dan pascapanen. (http://balitjestro.litbang.pertanian.go.id/peningkatan-kualitas-buah-segar-stroberi-melalui-penanganan-panen-dan-pascapanen/). [Diakses tanggal 09 Mei 2017].

Gunawan, L.W. 2000. Stroberi. Penebar Swadaya, Jakarta.

Kementrian Pertanian Direktorat Jenderal Hortikultura. 2015. Statistik produksi hortikultura tahun 2014. (www.google.co.id/search?q=kementrian+pertanian+direktorat+jenderal+hortikultura). [Diakses tanggal 15 Mei 2017].

Munir, Rinaldi. 2004. Pengolahan Citra Digital dengan Pendekatan Algoritmik. Informatika, Bandung.

Prasetyani, E. 2008. “Evaluasi Parameter Pemutuan Buah Stroberi (Fragaria chiloensis L.) Menggunakan Pengolahan Citra”. Skripsi. Fakultas Tenologi Pertanian IPB, Bogor.

Rahayu, A., Astuti, DP., dan Hamdani, R. 2015. Pertumbuhan dan produksi stroberi (Fragaria vesca L.) pada volume media tanam dan frekuensi pemberian pupuk NPK berbeda. Jurnal Agronida, 1 (1): 46-56.  

Ratna N. 2011. Pengaruh Pemeraman pada Pisang Raja (Musa paradisiaca L.) Terhadap Kandungan Gula dan Kadar Air. “Skripsi”. IKIP PGRI Semarang, Semarang.

Supriadi, H. 2015. “Pengaruh Penambahan Nanopartikel ZNO dan Kalium Sorbat pada Edible Coating Karagenan dalam Mempertahankan Kesegaran Buah Stroberi (Fragaria sp.) Segar”. Skripsi. Fakultas Teknologi Pertanian IPB, Bogor. 

Utama, I. M. S dan Antara, N. S. 2013. Pasca Panen Tanaman Tropika: Buah dan Sayur. Modul Kuliah. Universitas Udayana, Denpasar.