Research Article | OPEN ACCESS
Model Formulation of Apple Beverages for Production System in Micro Small Scale Enterprises (MSEs) Using Generalized Structured Component Analysis (GSCA) Method
1, 2Siti Asmaul Mustaniroh, 1Pratikto, 2Imam Santoso and 3Surachman
1Department of Mechanical Engineering, Faculty of Engineering
2Department of Agroindustrial Technology, Faculty of Agricultural Technology
3Department of Management, Faculty of Economics, Brawijaya University, Malang,
East Java Province, Indonesia
Advance Journal of Food Science and Technology 2014 5:701-706
Received: February 28, 2014 | Accepted: April 17, 2014 | Published: May 10, 2014
Abstract
The goal of this study is to determine the model formulation of the production systems of apple beverages by including the quality of apple, the level of food additives, the condition of pasteurization and the quality of apple beverages. The sample of this research is Micro Small Scale Enterprises (MSEs) of apple beverages in the Batu city, East Java Province using a sample of 20 people as the owners or production staff in MSEs. The methods of analysis is Generalized Structured Component Analysis (GSCA) that the news model for measuring effect and corelation of latent variable in model. The results showed that the model is feasible to explain 35.7% of the variation in the quality of apple beverages. The condition of pasteurization had a significant effect at the 5% level (p-value <0.05), while the other variables (the quality of apples and the level of food additives) had no significant effect on the quality of apple beverages. The novelty of this study that the quality of apple, the level of food additives, the condition of pasteurization and the qualty of apple beverages can expresion in the matematic model with GSCA analysis. The limitation of this study is that other variables in the apple beverages production not included in the model such as extraction, sterilization which one also critical in the production.
Keywords:
Apple beverages, model, production,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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