ARTÍCULO
TITULO

Analysis of Parameter Roasting on Color and Peanuts Roasted Taste

Silvi Ari Yanti    
Chandrasa Soekardi    
M. Sobron Yamin Lubis    

Resumen

The purpose of this study is to determine the optimum temperature of roasting, optimal rotation speed of tube and roasting time, to produce roasted peanuts with good taste and good colour. The research method is experimental using a Completely Randomized Design (CRD) with three factors of temperature, rotation and time. And analyzed using Anova method and Multiple Linear Regression. Temperature consists of five variables, namely 80oC, 85oC, 90oC, 95oC and 100oC. For rotations speed consists of 30, 35, 40 and 45 RPM. Variable of roasting time consists of four roasting times of 10, 15, 20 and 25 minutes. The numbers of data were 80 experiments. With three observation parameters namely moisture containing, color and aroma. It can be concluded that the temperature 95oC is the optimal roasting temperature; the optimal rotation speed is 40 RPM and 25 minutes for each roasting time. With the variable values mentioned, roasted bean products contain a fairly good taste, good moisture and good colour.

 Artículos similares

       
 
Rui Zhou and Xianghong Xu    
The significant increase in the speed of high-speed trains has made the optimization of pantograph?catenary parameters aimed at improving current collection quality become one of the key issues that urgently need to be addressed. In this paper, a method ... ver más
Revista: Applied Sciences

 
Daniel Jancarczyk, Ireneusz Wróbel, Piotr Danielczyk and Marcin Sidzina    
Vibration monitoring is essential for maintaining the optimal performance and reliability of industrial machinery, which experiences dynamic forces and vibrations during operation. This study delved into a comprehensive analysis of vibration monitoring i... ver más
Revista: Applied Sciences

 
Lei Yang, Mengxue Xu and Yunan He    
Convolutional Neural Networks (CNNs) have become essential in deep learning applications, especially in computer vision, yet their complex internal mechanisms pose significant challenges to interpretability, crucial for ethical applications. Addressing t... ver más
Revista: Applied Sciences

 
Tushar Ganguli and Edwin K. P. Chong    
We present a novel technique for pruning called activation-based pruning to effectively prune fully connected feedforward neural networks for multi-object classification. Our technique is based on the number of times each neuron is activated during model... ver más
Revista: Algorithms

 
J. Feo-García, A. Pulido-Alonso, A. Florido-Betancor and N. R. Florido-Suárez    
The analysis of energy consumption in reverse osmosis desalination plants is the most important and relevant factor to study, because this parameter indicates the level of efficiency and competitiveness of the plant. The direct consequence of the high sp... ver más
Revista: Water