| Abstrak (Bhs. Indonesia) | Kemajuan dalam pengembangan alat dan mesin untuk evaluasi mutu berbasis sifat optik belum dapat dinikmati oleh petani di negara berkembang (termasuk indonesia), karena keterbatasan finansial untuk dapat memilikinya. Dalam upaya memperoleh solusi terhadap permasalahan tersebut perlu diciptakan teknologi pendeteksi mutu buah dengan menggunakan komponen dengan harga yang terjangkau dan tersedia di pasaran. Tujuan penelitian ini adalah mengetahui karakteristik luaran sensor LDR terhadap indikator mutu buah (kekerasan, total padatan terlarut, warna) dan membuat persamaan matematis hubungan luaran sensor LDR terhadap indikator mutu buah. Penelitian ini dilaksanakan di Laboratorium Teknologi Pertanian Fakultas Pertanian Universitas Jenderal Soedirman, Purwokerto. Penelitian ini dilaksanakan pada bulan Juni sampai September 2013. Penelitian ini menggunakan metode non destruktif dan destruktif dengan tiga perlakuan awal yaitu utuh, impact, pressure. Variabel yang dimati dalam penelitian ini meliputi respon sensor, kekerasan, total padatan terlarut, warna dan uji organoleptik. Hasil penelitian menunjukan bahwa alat Rapid Quality Detector (Prototype II) dapat merespon perubahan kematangan buah pepaya California terhadap indikator mutu buah. Hubungan respon sensor dengan kekerasan didapatkan persamaan yaitu perlakuan utuh yu = 124,27x2 – 7,7065x + 18,15 dengan R² = 0,3651, perlakuan impact yi = 8620,4x2 – 2279,9x -170,1 dengan R² = 0,942, dan perlakuan pressure yp = 8158,5x2 – 2208,6x + 166,71 dengan R² = 0,9958. Sehingga respon sensor berpengaruh terhadap kekerasan buah pepaya. Hubungan respon sensor dengan total padatan terlarut didapatkan persamaan yaitu perlakuan utuh yu = 191,93x2 – 51,945x + 3,8829 dengan R² = 0,1062, perlakuan impact yi = -2439,1x2 + 646,42x – 41,685 dengan R² = 0,887, dan perlakuan pressure yp = -2714,4x2 + 735,55x – 47,818 dengan nilai R² = 0,9908. Sehingga respon sensor berpengaruh terhadap total padatan terlarut buah pepaya. Hubungan perubahan warna terhadap respon sensor didapatkan persamaan yaitu perlakuan utuh yL = 1823,9x2 – 528,18x + 92,068 dengan R2 = 0,7147, ya = 4865,8x2 – 1395x + 94,79 dengan nilai R² = 0,9672, dan yb = 5869,9x2 – 1602,6x + 144,76 dengan R² = 0,8989. Perlakuan Impact yL = -8279,7x2 + 2268,1x – 95,602 dengan R2 = 0,4736, ya = -11828x2 + 3158,2x – 209,65 dengan R² = 0,5183, dan yb = -13007x2 + 3578,5x – 200,39 dengan R² = 0,546. Perlakuan Pressure yL = -5295,3x2 + 1493,5x – 46,898 dengan R2 = 0,5862, ya = -3640,2x2 – 1007,2x – 70,628 dengan R² = 0,0528, dan yb = -10311x2 + 2806,3x – 146,99 dengan R² = 0,6747. Sehingga respon sensor berpengaruh terhadap perubahan parameter warna buah pepaya. Ambang batas penerimaan konsumen adalah pada nilai OD sebesar 0,165013. |
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| Abtrak (Bhs. Inggris) | The progress of tools and machines development for quality evaluation which is based on the optical characteristics can not be enjoyed by farmers in developing countries (including Indonesia) because of financial constraints to get it. An effort to obtain the solutions toward these cases, therefore, it needs to be created the technology of fruit quality detection using components by inexpensive price and it available in the market. The aims of this study are to find out the characteristics of LDR censor outputs toward the changing of fruit quality indicators and to create mathematical equations of LDR censor outputs toward fruit quality indicators. This research was conducted at the Agricultural Technology Laboratory, Agriculture Faculty, Jenderal Soedirman University, Purwokerto. This study was done on June until September 2013. This research also use non-destructive and destructive methods with three pre- treatments, they are intact, impact, and pressure. The variables that are observed in this study include of the censor response, hardness, total solid matter soluble, color and organoleptic tests. Result of this research shows that the Rapid Quality Detector (Prototype II) tool can respond the changing of overripe California papaya toward fruit quality indicators. The correlation of censor response with hardness is obtained by the equations, they are intact treatment yu = 124.27x2 – 7.7065x + 18.15 with R² = 0.3651, impact treatment yi = 8620.4x2 – 2279.9x -170.1 with R² = 0.942, and pressure treatment yp = 8158.5x2 – 2208.6x + 166.71with R ² = 0.9958, so the censor response influences papaya hardness, besides, correlation of censor response with total solid matter soluble obtained by the equations, they are intact treatment yu = 191.93x2 – 51.945x + 3.8829 with R² = 0.1062, impact treatment yi = -2439.1x2 + 646.42x – 41.685 with R² = 0.887, and pressure treatment yp = -2714.4x2 + 735.55x – 47.818 with a value of R² = 0.9908, thus the censor response influences toward total solid matter soluble of papaya fruit. In addition, the correlation of changing color toward censor response is obtained several equations, such as intact treatment yL= 1823.9x2 – 528.18x + 92.068 with value of R2 = 0.7147, ya = 4865.8x2 – 1395x + 94.79 with value of R² = 0.9672 and yb = 5869.9x2 – 1602.6x + 144.76 with value of R² = 0.8989. Impact Treatment yL = -8279.7x2 + 2268.1x – 95.602 with value of R2 = 0.4736, ya = -11828x2 + 3158.2x – 209.65 with R² = 0.518, and yb = -13007x2 + 3578.5x – 200.39 with R² = 0.546. Pressure Treatment yL = -5295.3x2 + 1493.5x – 46.898 with R2 = 0.5862, ya = -3640.2x2 – 1007.2x – 70.628 with R² = 0.0528 and yb = -10311x2 + 2806.3x – 146.99 with R² = 0.6747. Therefore, the censor response influences toward the changing parameters of papaya fruit color, and the threshold of consumer acceptance is at the OD value as big as 0.165013. |
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