Issue |
BIO Web Conf.
Volume 99, 2024
The International Conference on Agriculture, Food, and Environmental Sciences (ICAFES 2023)
|
|
---|---|---|
Article Number | 02007 | |
Number of page(s) | 7 | |
Section | Food and Agriculture Product Technology | |
DOI | https://doi.org/10.1051/bioconf/20249902007 | |
Published online | 01 April 2024 |
Technological innovation based on biomass waste with controlled features for cassava drying agrotechnology
1 Departement of Physics, Faculty of Mathematics and Natural Sciences, Universitas Riau, Pekanbaru, Riau, Indonesia
2 Departement of Computer Sciences, Faculty of Mathematics and Natural Sciences, Universitas Riau, Pekanbaru, Riau, Indonesia
3 School of Economics Education, Faculty of Teaching and Education, Universitas Riau, Pekanbaru, Riau, Indonesia
* Corresponding author: juandi@lecturer.unri.ac.id
Indonesia is the largest cassava producer in the world. In 2020, cassava production will be 18.3 million tons. The aim of this research is to find an innovation in the field of cassava processing using environmentally friendly biomass energy. The method used is to design an innovative biomass energy-based cassava drying technology tool using a controlled system. The tool is tested in the laboratory using experimental methods to produce a prototype. tools that can be directly applied in the field. The results of the research showed that the time used during the drying process with variations in the coconut shell mass of 400 grams for 136 minutes, then continued with a mass of 600 grams for 109 minutes had succeeded in obtaining dry cassava products, with an average temperature during drying. room 40 to 60 °C with minimum humidity ranging from 24 to 49 percent. All observation data can be displayed on an LCD screen or computer with controlled features. Conclusion: In the end, this research has applications in the cassava processing industry in every region, both in Indonesia and in any region, offering an innovative approach to biomass energy-based cassava processing technology with controlled features.
© The Authors, published by EDP Sciences, 2024
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.