Response Surface Optimization of Mechanical Extractor of Pith from Sago (Metroxylon sagu) Logs

This study aimed to optimize the mechanical extraction of sago pith from Metroxylon sagu using Response Surface Methodology (RSM) and a Randomized Complete Block Design (RCBD). It examined the effects of teeth configuration, log length, and rasper speed on key performance indicators: extraction rate, energy use, capacity, efficiency, fineness modulus, and energy consumption. Trials showed that teeth notably impacted machine efficiency and output quality. The optimal setup of 8 teeth and a 14-inch log length achieved a 1,065.07 kg/hr extraction capacity, 85.06% efficiency, a fineness modulus of 1.99, and 0.0018 kWh/kg energy use. Despite some variability due to teeth sharpness during field tests, results confirmed that optimized settings enhanced processing efficiency and product consistency. This research highlights the importance of design optimization in improving mechanized sago extraction and supports its potential for wider rural and commercial use.