<em>Data of Disperindag Bangkalan Regency (2015), shows that Bangkalan Regency has 20 herbal medicine industries. After doing research survey there are some herbal medicine industries that have been inactive, so that this research is conducted to find out alternative strategy that can be used as an effort to develop herbal medicine industry in Bangkalan Regency. This research used analysis of internal environment (IFE) and external (EFE), External-internal matrix (IE), SWOT and QSPM matrix (Quantitative Strategic Planning Matrix). There are 16 internal factors and 11 external factors. As for alternative strategy there are 5 alternatives obtained from SWOT matrix and IE matrix. In the QSPM matrix, the priority of strategy is 1. Maintain and improve product quality, 2. Increase promotional activities and expand the marketing area,3. Improving relationships with government and other agencies, 4. Maintain company image, and 5. Develop cooperation with other industries outside the region</em>
One of the mango’s maturity aspects is the sweetness of the fruits. Mature Avomango has a high degree of sweetness, characterized by a high total soluble solids (TSS) content. Currently, many non-destructive tests are using Near Infra-Red (NIR) spectroscopy to find out the TSS content. NIR spectroscopy generates spectra data, which can be used as predictors to predict Avomangos sweetness level. This study aims to predict the level of Avomangos sweetness by using a multi-predictor local polynomial regression approach and compare it with multiple polynomial regression. In this study, we use 120 samples of Avomango divided into two parts, 100 as training data and 20 as testing data. The multi-predictor local polynomial regression has better performance with the value mean absolute percentage error (MAPE) is 8.554% that categorized as a highly accurate prediction for predicting Avomangos sweetness level.
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