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DOI: 10.14569/IJACSA.2023.0140367
PDF

Modeling of Organic Waste Classification as Raw Materials for Briquettes using Machine Learning Approach

Author 1: Norbertus Tri Suswanto Saptadi
Author 2: Ansar Suyuti
Author 3: Amil Ahmad Ilham
Author 4: Ingrid Nurtanio

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 3, 2023.

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Abstract: The existence of organic waste must be utilized by the community so that it does not only end up in landfills but can also be processed into something constructive so that it is useful and has high economic value. Organic waste can be converted into raw materials to manufacture of biomass briquettes. Machine learning techniques were developed for technological applications, object detection, and categorization. Methods with artificial reasoning networks that use a number of algorithms, such as the Naive Bayes Classifier, will work together in determining and identifying certain characteristics in a digital data set. The manufacturing method goes through several processes with a waste classification model as a source of learning data. The image data is based on five types: coconut shells, sawdust, corn cobs, rice husks, and plant leaves. The research aims to identify and classify types of waste both organically and non-organically so that it will make it easier to sort waste. The results of testing the organic waste application from digital images have an accuracy rate of 97%. The model design carried out in training data is useful for producing a data model.

Keywords: Classification; organic waste; raw material; machine learning

Norbertus Tri Suswanto Saptadi, Ansar Suyuti, Amil Ahmad Ilham and Ingrid Nurtanio, “Modeling of Organic Waste Classification as Raw Materials for Briquettes using Machine Learning Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 14(3), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140367

@article{Saptadi2023,
title = {Modeling of Organic Waste Classification as Raw Materials for Briquettes using Machine Learning Approach},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140367},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140367},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {3},
author = {Norbertus Tri Suswanto Saptadi and Ansar Suyuti and Amil Ahmad Ilham and Ingrid Nurtanio}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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