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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.
Arjuna Subject : -
Articles 3 Documents
 1 
Search results for , issue " Vol 8, No 1 (2007)" : 3 Documents clear
Application of Artificial Neural Network System for Demand Forecasting of Rubber Commodity Rss-1 Produced by an Indonesian Government-Owned Company Santoso, Imam; Effendi, Usman; Fauziya, Cicik
Jurnal Teknologi Pertanian Vol 8, No 1 (2007)
Publisher : Fakultas Teknologi Pertanian Universitas Brawijaya

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Abstract

Artificial neural network (ANN) system, an information computing processor, is developed to resemble the natural biological neural network system. Like the biological one, the ANN system is able to learn, store, and process or to interpret the new data input based on the previous set of values. Therefore the ANN system may be used as a tool for forecasting. This research was run to forecast demand on the rubber commodity, RSS-1, produced by an Indonesian government-owned estate company. The ANN system was modeled as a multilayer feed forward network by means of a back propagation as a learning algorithm. A sigmoid function was used as the activating function, whereas the learning rate (lr), momentum (mc), and maximum epochs 100.000 were added to accelerate the learning process. The training results showed the developed ANN system worked very well. There network operated on the structure of 2-5-4-1 with the respective value of lr = 0.01 and mc = 0.9. This structure was able to recognize the causal design between the demand, the price and stocks of RSS-1 rubber at the company by rationality of network learning results, known as MSE, at a level of 0.69%.Keyword: Artificial neural network, demand forecasting, rubber
The Use of - R Control Chart on The Filling Process at A Particular Pasteurized Milk Industry in Malang Santoso, E.F. Sri Maryani; Deoranto, Panji; Mahfudiana, Dwi
Jurnal Teknologi Pertanian Vol 8, No 1 (2007)
Publisher : Fakultas Teknologi Pertanian Universitas Brawijaya

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Abstract

The purposes of this research were to develop an  - R control chart of the filling process in a particular pasteurized milk industry in order to improve the performance of the process. Based on the data of the milk volume filled in the container, the  - R control chart of the filling process was developed. It was found that an average volume ( ) was 143.88 ml; and the respective values of UCL and LCL  were 147.74 ml and 140.52ml, with an average volume range (R) of 5.83 ml; UCLR = 12.30 ml; and LCLR = 0. The chart showed that the center line and limits of the X control exceeded the predetermined value of 140 ± 5 ml, with the average volume of 143.88 ml, which was above the set value of volume 140 ml.  The value of Cp was 0.66 (less than 1,00) and the Kane performance index, CPK = 0,15 which was equal to the CPU. It means that the operation of the filling process was under its capacity. Since the filling machine used was a semi automatic one, to reduce the excessive filling may be carried out either by upgrading operator or machinery performances.Key word:  control chart, filling process, pasteurized milk
Native and Debranched Rice Starch Modification Using Physical or Chemical Treatment to Increase the Level of Resistant Starch Wulan, Siti Narsito; Widyaningsih, Tri Dewanti; Kasseri, Dian
Jurnal Teknologi Pertanian Vol 8, No 1 (2007)
Publisher : Fakultas Teknologi Pertanian Universitas Brawijaya

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Abstract

Resistant starch, dietary fibres compound, is carbohydrate that escape from human digestion system, therefore it has potential health benefits. A study on resistance starch of the native and debranched starches, obtained from rice, which were further treated with physical or chemical treatment has been conducted. The extracted rice starch was first enzymatic debranched by means of bacterial pullulanase. The debranched starch was then treated further either by autoclaving, extrusion cooking or chemically cross-linking. The native starch was also undergone similar physical or chemical treatments.  The results showed that the treated debranched-starch contained a higher level of resistant starch than that of the native starch treated with the similar treatment. The cross linked debranched-starch was the best one and it contained 8.45% moisture, 3.19% ash, 85.44% starch and 3.67% resistant starch. The respective initial gelatinization temperature, gelatinization temperature and maximum viscosity of the modified starch were 79.3oC, 89.6oC and 1478 AU.Key word: resistant starch, enzymatic debranching, physical or chemical modification

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