E3S Web Conf.
Volume 316, 20212nd International Conference on Agribusiness and Rural Development (IConARD 2021)
|Number of page(s)||11|
|Published online||05 November 2021|
Coconut Sugar Quality Control Analysis of Home-Industry in Central Java
1 Department of Agribusiness, Faculty of Agriculture, Universitas Muhammadiyah Yogyakarta, Indonesia
2 Media and Cultural Studies, Universitas Gadjah Mada, Indonesia
* Corresponding author: email@example.com
Coconut sugar is a potential trade commodity, and Indonesia is one of the biggest exporters in the world. There were some problems such as the use of raw material was not optimum and some quality issues. The study aims to identify the defective product and evaluate the current process capacity at Ngudi Lestari as one of the biggest home-industry in Central Java. The method was use the Six Sigma Method through DMAIC tools. The data was used primary data from 28 times production during seven days through the observation process. The finding showed that there were nine potential critical to quality that affects sugar. The control chart showed that production in Ngudi Lestari still uncontrollable. It was indicated by the process that out of control limit was about 75%. The result of the sigma value was sufficient, which was 4.39. It had reached the average sigma level of industry in the United States. The defective products were caused by raw materials, labor, equipment, and production process. The raw material was one factor that had a significant effect on the quality of coconut sugar.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.