Analisis Perbandingan Metode Response Surface Methodology (RSM) dan Metode Taguchi: Optimasi Kinerja Pompa Hidram

Abstract

Water technology plays a crucial role in fulfilling the need for clean water access and efficient water management, especially in rural areas. As an alternative to water technology that requires sustainable electrical energy, the use of hydram pumps is considered quite effective because it can lift water without using electrical energy. Response Surface Methodology (RSM) and Taguchi method are different statistical approaches in experiment design and process optimisation. Statistical analysis is key in understanding the complexity of the relationship between design variables and hydram pump performance. The results show that RSM and Taguchi methods provide different number of experiments, optimal points, equation models, ANOVA and optimal variables in variable settings to increase hydram pump discharge. In the RSM method there are 20 experiments, with the optimal point at 3 m input height, 12 m input length, and 120 cm vacuum tube height, while for the Taguchi method there are 9 experimental variations and the optimal point is obtained at 3 m input height, 12 m input length, and 120 cm vacuum tube height. For the equation model, the RSM method shows a complex mathematical equation involving interactions between variables, while the Taguchi method provides a simpler equation. As for the most optimal variable when viewed from the Significant value in both methods in the ANOVA table, it is found that the input height variable is the most significant variable in optimising the response (discharge). A better understanding of these two methods can help the selection of appropriate methods for specific situations, strengthen the understanding of hydram pump performance, and contribute to the development of more efficient and sustainable hydram pump technology.