This research is aimed at revealing and understanding: (1) the effect of innovation information intensity, working capital, entrepreneurship, and educational level to the level of technological innovation adoption; (2) the effect of innovation information intensity, amount of working capital, and entrepreneurship, to the level on the innovation production level through technological innovation adoption level; (3) the effect of technological innovation adoption level on the innovation production

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... level. The sampling technique was taken by using Porpusive Random Sampling. The sample size consisted of 45 entrepreneurs, consists of 40 home industry and 5 small scale entrepreneurs. The analysis of data used multiple regression, and path analysis. The interpretation of data analysis results were done at level of significance 5%. The findings of the research shows: (1) independent variables of innovation information intensity, working capital, entrepreneurship, and educational level have a positive impact on the technological innovation adoption level; innovation information intensity had positive impact on the technological innovation adoption level with a coefficient effect=0.50; the working capital had a positive impact=0.35; the entrepreneurship had a positive impact=0,26; and the educational level had a positive correlation on the technological innovation adoption level with r=0.44; (2) the innovation information intensity, working capital, and entrepreneurship have indirectly positive impact (through technological innovation adoption level) on the innovation production level; with coefficient of effects are 0,38; 0,26 and 0,20 respectively. (3) the technological innovation adoption level had a positive impact on the innovation production level with a coefficient of effect=0,75.