Modeling of agarwood oil compounds based on linear regression and ANN for oil quality classification

<span>Agarwood oil is in increasing demand in Malaysia throughout the world for use in incense, traditional medicine, and perfumes. However, there is still no standardized grading method for agarwood oil. It is vital to grade agarwood oil into high and low quality so that both qualities can be properly differentiated. In the present study, data were obtained from the Forest Research Institute Malaysia (FRIM), Selangor Malaysia and Bioaromatic Research Centre of Excellence (BARCE), Universiti Malaysia Pahang (UMP). The work involves the data from a previous researcher. As a part of on-going research, the stepwise linear regression and multilayer perceptron have been proposed for grading agarwood oil. The output features of the stepwise regression were the input features for modeling agarwood oil in a multilayer perceptron (MLP) network. A three layer MLP with 10 hidden neurons was used with three different training algorithms, namely resilient backpropagation (RBP), levenberg marquardt (LM) and scaled-conjugate gradient (SCG). All analytical work was performed using MATLAB software version R2017a. It was found that one hidden neuron in LM algorithm performed the most <span>accurate result in the classification of agarwood oil with the lowest mean squared error (MSE) as compared to SCG and RBP algorithms. The findings in this research will be a</span> benefit for future works of agarwood oil research areas, especially in terms of oil quality classification.</span>

TEKNIK DAN ANALISIS KELAYAKAN FINANSIAL PENGOLAHAN LIMBAH GAHARU DI KOTA METRO LAMPUNG

Non-timber forest products (NTFPs) are expected to be another alternative in forest utilization, one of the commodities that has a high selling value is agarwood. Agarwood is the most expensive aromatic ingredient in the world. But there are still many people who do not know about the advantages of gaharu, so this research aims to provide an overview to the wider community regarding processing techniques and calculation of the analysis of the cost of developing an agarwood oil processing business. This study was carried out in the agarwood oil processing household industry in Mero Selatan sub-district, Lampung Province from January 2020 to April 2020 using quantitative descriptive research methods. Data obtained through interviews and observations, as well as business feasibility data analysis carried out by calculating the analysis of Net Present Value, Benefit Cost Ratio and Payback Period.The results showed that the agarwood oil refining business was declared feasible, with a positive NPV analysis or greater than zero of Rp. 1,575.368.554 ,-, BCR analysis is Rp. 13,9 where every Rp. 1 issued then has a benefit of Rp. 13,9, and the Payback Period for 5 months 19 days does not exceed the planned business period.