Lilik Anifah, Prima Retno Wikandari, Puput Wanarti Rusimamto, Haryanto, Parama Diptya Widayaka
As discarding used palm oil in nature is very dangerous, a processing mechanism is needed to utilize it according to needs. This utilization depends on the palm oil used, so the sorting process becomes important. This study proposes a new classification approach for the quality of used palm oil using Self-Organizing Map (SOM), Linear Vector Quantization (LVQ), and K-means, based on electronic sensors. This study included hardware design, software development, data collection, and training and testing processes. Based on the experimental results, the proposed system performed well using 13 parameters consisting of e-nose data, color, viscosity, and turbidity. The accuracy of SOM was 91.11%, LVQ achieved 95.56%, and K-Means obtained an accuracy of 98.89%. This system can be used as a decision support system in the automatic recognition of used palm oil to classify its quality. © by the authors.
Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya, Indonesia; Department of Chemistry, Faculty of Mathematics and Science, Universitas Negeri Surabaya, Indonesia; Department of Electrical Engineering, Faculty of Engineering, Universitas Trunojoyo Madura, Indonesia
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