The Effects of Price and Product Quality on Red Brick Sales Revenue in East Sekotong Village
DOI:
https://doi.org/10.3456/wqvd4j27Keywords:
price, product quality, red bricks, sales revenue, rural industry, microenterpriseAbstract
This study examines the effects of price and product quality on red brick sales revenue in East Sekotong Village, West Lombok Regency. A quantitative explanatory design was applied to a population of 300 actors and consumers associated with the village red brick business. Using the Slovin formula at a 10% error level and simple random sampling, 75 respondents were selected. Data were collected through a four-point Likert questionnaire, interviews, and documentation, and analysed with SPSS 26 using validity and reliability tests, classical-assumption diagnostics, multiple linear regression, partial t-tests, a simultaneous F-test, and the coefficient of determination. All fifteen questionnaire items were reported valid, and the overall instrument was reliable (Cronbach's alpha = 0.771). The estimated model was Y = 5.707 + 0.165X1 + 0.500X2. Price had a positive but statistically non-significant partial effect on sales revenue (t = 1.502; p = 0.137), whereas product quality had a positive and significant effect (t = 4.946; p < 0.001). Jointly, price and product quality significantly explained sales revenue (F = 30.559; p < 0.001). The model produced R = 0.678, R square = 0.459, and adjusted R square = 0.444, indicating that 45.9% of the variation in sales revenue was associated with the two predictors. Product quality, especially strength, durability, dimensional consistency, and reliable firing, is therefore the principal operational priority. Price remains strategically relevant as a competitive and value-signalling instrument, although its isolated statistical effect was not significant. Interpretation should remain cautious because the thesis's heteroskedasticity table duplicates the regression coefficients and reports p < 0.05 for product quality. Future analysis should use a clearly specified residual-based diagnostic and heteroskedasticity-robust standard errors
References
This study examines the effects of price and product quality on red brick sales revenue in East Sekotong Village, West Lombok Regency. A quantitative explanatory design was applied to a population of 300 actors and consumers associated with the village red brick business. Using the Slovin formula at a 10% error level and simple random sampling, 75 respondents were selected. Data were collected through a four-point Likert questionnaire, interviews, and documentation, and analysed with SPSS 26 using validity and reliability tests, classical-assumption diagnostics, multiple linear regression, partial t-tests, a simultaneous F-test, and the coefficient of determination. All fifteen questionnaire items were reported valid, and the overall instrument was reliable (Cronbach's alpha = 0.771). The estimated model was Y = 5.707 + 0.165X1 + 0.500X2. Price had a positive but statistically non-significant partial effect on sales revenue (t = 1.502; p = 0.137), whereas product quality had a positive and significant effect (t = 4.946; p < 0.001). Jointly, price and product quality significantly explained sales revenue (F = 30.559; p < 0.001). The model produced R = 0.678, R square = 0.459, and adjusted R square = 0.444, indicating that 45.9% of the variation in sales revenue was associated with the two predictors. Product quality, especially strength, durability, dimensional consistency, and reliable firing, is therefore the principal operational priority. Price remains strategically relevant as a competitive and value-signalling instrument, although its isolated statistical effect was not significant. Interpretation should remain cautious because the thesis's heteroskedasticity table duplicates the regression coefficients and reports p < 0.05 for product quality. Future analysis should use a clearly specified residual-based diagnostic and heteroskedasticity-robust standard errors
