Eco-friendly product design factor from water hyacinth combined with wet waste

Abstract

The research is objective. 1) to develop the process of transforming water hyacinths into organic plant pots. 2) to determine the design factor of an organic potted plant from water hyacinth. 3) To assess the satisfaction of the newly developed organic potted hyacinth products, Mixed Methods Research, the first step to developing the water hyacinth transformation process, is tested for N, P, K, pH, EC, moisture, GI in an accredited laboratory. The second step to determining the design factor and assessing satisfaction was the demographic group, namely, shoppers at the Chatuchak Market. 1,124 people in the ornamental flower zone and 150 people who are interested in environmentally-friendly potted products who choose to buy products at the flower decoration area in the Chatuchak market, using Simple Random Sampling at a confidence level of 10.0% of Taro Yamane The research tool used a structured questionnaire. The 5-level rating scale of the liqueur appeared to have Cronbach's Alpha = 0.815 and 0.839. The result of the first step was the highest efficiency formula of the third ingredient. Phosphorus (P205) accounts for 0.89%, potassium (K20) accounts for 0.71%, calcium (CaO) accounts for 2.23%, magnesium (MgO) accounts for 0.37%, and organic matter accounts for 33.76%. By analyzing variable grouping (EFA), affirmative component analysis (CFA), and multiple linear regression, 12 components were correlated from 39 select variables, with Chi-Square = 2076.222 and Sig. =.00, in which 39 factor variables are related. and examine the corroborating elements of the factors affecting product purchases. It confirms the model for measuring the feeling variables, the product appearance factor, the environmental awareness factor (awareness), and the product price factor (price), are consistent with the historical data. = 33.185, df = 27, relative = 1.229, p =.191, RMSEA =.039, RMR =.025, GFI =.965, AGFI =.900, NFI =.953, TLI =.977, and consumer satisfaction was Sig. .05. The raw score prediction equation was =1.493+.187(X1)+ .306(X2)+ .270(X3), while the standard score prediction equation was Z=.296(X1)+ .316(X2)+ .312(X3)