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Jurnal Teknologi Pertanian
Published by Universitas Brawijaya
ISSN : 14115131     EISSN : 25282794     DOI : -
Core Subject : Science, Agriculture,
Agriculture, Biological Sciences & Forestry Computer Science & IT
Jurnal Teknologi Pertanian diterbitkan oleh Fakultas Teknologi Pertanian Universitas Brawijaya untuk penyebarluasan hasil penelitian yang dilakukan oleh para peneliti dari dalam dan luar Fakultas Teknologi Pertanian Universitas Brawijaya. Jurnal Teknologi Pertanian terbit tiga kali dalam setahun, memuat tulisan hasil penelitian yang termasuk dalam lingkup disiplin ilmu pengetahuan yang terkait dengan Ilmu-ilmu Teknologi Pertanian guna menunjang pengembangan ilmu pengetahuan dan teknologi serta pembangunan nasional.
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Articles 2 Documents
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Search results for , issue "Vol. 21 No. 3 (2020)" : 2 Documents clear
STRATEGI PEMENUHAN SYARAT MUTU STANDAR NASIONAL INDONESIA (SNI) BIJI KAKAO FERMENTASI Fadlianto Botutihe; Mimin Yulita Kusumaningrum; Nicolays Jambang
Jurnal Teknologi Pertanian Vol. 21 No. 3 (2020)
Publisher : Fakultas Teknologi Pertanian Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (653.362 KB) | DOI: 10.21776/ub.jtp.2020.021.03.5

Abstract

                                                   ABSTRAK Hubungan atribut mutu biji kakao fermentasi dengan Standar Nasional Indonesia serta tahapan dan prioritas pengolahannya perlu dituangkan dalam suatu matriks. Penelitian ini bertujuan untuk mendeskripsikan hubungan atribut mutu biji kakao fermentasi yang dipersyaratkan SNI 2323-2008 dan tahapan pengolahannya dengan metode Quality Function Deployment (QFD), sehingga menghasilkan urutan prioritas tahapan pemrosesan. Penelitian ini terdiri dari 5 langkah, yaitu menyusun atribut kualitas, menyusun atribut proses produksi, menghubungkan atribut kualitas dan atribut tahapan pengolahan, menghubungkan tahapan pengolahan, serta menghitung dan memilah tahapan prioritas pengolahan. Hasil penelitian menunjukkan bahwahubungan yang sangat kuat terdapat pada atribut mutu pengotor memiliki nilai hubungan sebesar 3,8 dengan proses pengeringan biji kakao, kadar biji berjamur memiliki nilai hubungan sebesar 3,8 dengan penyimpanan biji kakao, kadar air memiliki nilai hubungan sebesar 3,6 dengan penyimpanan dan 4 dengan pengeringan biji kakao, serangga hidup memiliki nilai hubungan sebesar 3,8 dengan penyimpanan dan 3,6 dengan kemasan biji kakao. Hubungan yang erat antara pengolahan biji kakao ditunjukkan pada proses pengeringan memiliki nilai 3 dengan fermentasi biji kakao, biji kakao kering kemasan memiliki nilai 2,8 dengan pengeringan dan memiliki nilai2,6 dengan sortasi biji kakao kering, kakao penyimpanan biji memiliki nilai hubungan 2,8 dengan pengeringan, dan memiliki nilai hubungan 2,6 dengan pemilahan biji kering dan memiliki nilai hubungan 3 dengan kemasan Kata kunci : Biji Kakao; Fermentasi; Pascapanen; Prioritas; Pengolahan                                                                                                   ABSTRACTThe relationship of the quality attributes of fermented cocoa beans in the Indonesian National Standard and its processing steps and priorities needs to be spelled out in a matrix. This study aims to describe the relationship between the quality attributes of fermented cocoa beans required by SNI 2323-2008 and the processing stages using the Quality Function Deployment (QFD) method, to produce a priority sequence of processing stages. This research consists of 5 steps, including arranging quality attributes, arranging the attributes of the production process, connecting quality attributes and processing step attributes, connecting the processing steps, and calculating and sorting the priority stages of processing. The results shown that a very strong relationship is in the attributes of the quality of impurities has a relationship value of 3.8 with the drying process of cocoa beans, moldy seed content has a relationship value of 3.8 with the storage of cocoa beans, water content has a relationship value of 3.6 with storage and 4 with drying cocoa beans, live insects have a relationship value of 3.8 with storage and by 3.6 with the packaging of cocoa beans. A strong relationship between cocoa bean processing is shown in the drying process has a value of 3 with the fermentation of cocoa beans, dried cocoa bean packaging has a value of 2.8 with drying and has a value of 2.6 with a sortation of dried cocoa beans, cocoa bean storage has a relationship value of 2.8 with drying, and has a relationship value of 2.6 with dry seed sortation and has a relationship value of 3 with packaging. The results of the priority sequence analysis of the processing stages showed that cocoa bean storage had anaverage contribution value of 0.130, drying cocoa beans had an average contribution value of 0.120, and packaging had an average contribution value of 0.112, soo that the strategy to fulfill SNI for cocoa bean fermentation can be optimal by using the QFD matrix Keywords : Cocoa Beans; Fermentation; Postharvest; Processing; Priority
PREDIKSI VITAMIN C, TOTAL ASAM TERTITRASI, DAN TOTAL PADATAN TERLARUT PADA BUAH MANGGA MENGGUNAKAN NEAR-INFRARED REFLECTANCE SPECTROSCOPY Kusumiyati Kusumiyati; Agus Arip Munawar; Diding Suhandy
Jurnal Teknologi Pertanian Vol. 21 No. 3 (2020)
Publisher : Fakultas Teknologi Pertanian Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (618.463 KB) | DOI: 10.21776/ub.jtp.2020.021.03.1

Abstract

ABSTRAK Buah mangga memiliki kandungan nutrisi yang bermanfaat bagi kesehatan. Komoditas ini tersedia di pasar dalam berbagai jenis kulitvar, diantaranya cengkir, kweni, kent dan palmer. Tujuan penelitian ini adalah memprediksi kualitas internal buah mangga yaitu vitamin C, total asam tertitrasi, total padatan terlarut (TPT) menggunakan near-infrared reflectance spectroscopy (NIRS). Spektra diffuse reflectance yang diperoleh dari hasil akuisisi spektra dikoreksi dengan pra-pengolahan spektra metode orthogonal signal correction (OSC), dan turunan pertama savitzky-golay (dg1). Hasil penelitian menjelaskan bahwa vitamin C, total asam tertitrasi, dan TPT dapat diprediksi dengan baik menggunakan NIRS. Pra-pengolahan spektra memberikan pengaruh terhadap akurasi pendugaan kualitas internal buah mangga. Spektra dg1 memperoleh nilai R2 kalibrasi tertinggi pada ketiga parameter kualitas yaitu 0,98 (vitamin C), 0,87 (total asam tertitrasi), dan 0,96 (TPT). Namun, pada pendugaan vitamin C dan total padatan terlarut, spektra dg1 menampilkan nilai konsisten yang rendah yaitu sebesar 56% dan 63%. Pra-pengolahan spektra OSC mampu mereduksi jumlah faktor pada spektra original. Model kalibrasi terbaik pendugaan vitamin C dan total padatan terlarut diperoleh oleh spektra original, sedangkan pendugaan total asam tertitrasi ditunjukkan oleh spektra dg1 Kata kunci: Analisis Multivariat; Kalibrasi; Kemometrika; Nondestruktif; Validasi ABSTRACT Mango fruit contains a lot of beneficial nutrition for health. This commodity is available at the market in various cultivars, including cengkir, kweni, kent, and palmer. The purpose of the research was to predict the internal quality of mango such as vitamin C, titratable acidity, soluble solid content using near-infrared reflectance spectroscopy (NIRS). Diffuse reflectance spectra acquired from spectra acquisition were corrected using spectra pre-processing methods of orthogonal signal correction (OSC) and first derivative savitzky-golay (dg1). The results explained that vitamin C, titratable acidity, and SSC were able to be properly predicted using NIRS. Spectra pre-processing gave effect to the accuracy of internal quality prediction of mango. Dg1 spectra obtained the highest calibration R2 in the three quality parameters of 0.98 (vitamin c), 0.87 (titratable acidity), and 0.96 (SSC). However, in vitamin c and SSC prediction, dg1 spectra yielded low consistent values of 56% and 63%. Besides, OSC spectra pre-processing was able to reduce the number of factors in the original spectra. The best calibration model for predicting vitamin c and total dissolved solids was achieved by the original spectra, while the prediction of titratable acidity was shown by dg1 spectra Keywords: Calibration; Chemometrics; Multivariate Analysis; Nondestructive; Validation

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