Kain Tenun; Nusa Tenggara Timur; Primary Dataset; Image Classification; Machine Learning
The growing intricacy of investment decisions in unpredictable economic conditions underscores the importance of comprehending the fundamental psychological factors that shape investor behavior and preferences. For this purpose, this research illustrates the impact of personal saving orientation in elucidating the impact of flow experience and social support, desire for learning on investment decisions. The research assesses a proposed model grounded in the Theory of Planned Behavior (TPB) by collecting questionnaire data from 516 investors using the PLS-SEM technique...
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The growing intricacy of investment decisions in unpredictable economic conditions underscores the importance of comprehending the fundamental psychological factors that shape investor behavior and preferences. For this purpose, this research illustrates the impact of personal saving orientation in elucidating the impact of flow experience and social support, desire for learning on investment decisions. The research assesses a proposed model grounded in the Theory of Planned Behavior (TPB) by collecting questionnaire data from 516 investors using the PLS-SEM technique...
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8 Views
The recognition of woven fabrics through image processing has a high value in preserving cultural heritage and assisting in identifying and classifying traditional textile products. To this end, this study proposes an approach that utilizes a Decision Tree (DT) to recognize images of woven fabrics typical of East Nusa Tenggara. DT's effectiveness in high-dimensional data classification makes it an ideal tool for modeling unique patterns in woven fabric drawings.
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