Design and Construction of Sago Rasper (As Business Process Re-Engineering of Sago Flour)

Abstract

The forest area of Sago in Indonesia is about 1.25 million hectares with a seedling density of 1,480 per hectare. Only about 40 percent of the area is productive with the starch productivity of 7 tons per hectare per year, because of the number of sago crops that are harvestable but not harvested so that they are damaged. This happens because the business and the raw material sources are at a great distance. Therefore, there is a need for business process re-engineering of sago to be more efficient and effective. By redesigning the sago rasper to fit into the truck and can be laid out with other tools. The method used in this research was parameter measurement technique of Quality Function Deployment (QFD), validity and reliability test, morphological chart then designed by using SolidWork software. There were 5 attributes used in QFD: safe, high productivity, strong, durable, and price. Eventually, virtual design of sago extraction tool in accordance with customer requirements and expert machining was designed and constructed. The benefits of the research for Sago flour business process are machine optimization, reduced labor, shorter production time and higher productivity.

Optimizing confectionery production: A semi-automatic gummy jelly dropping machine design and performance evaluation

“…Studies by Immawan, et al [29]; Widanarti, et al [30], and Darma [31] concentrated on optimizing sago processing machinery through the redesign of sago raspers, sieving machines, and extraction equipment, aiming to improve productivity and reduce labor-intensive processes. Furthermore, Punpain [32] introduced a case study on the design of a Konjac Pearl Dropping Machine to address production delays and inconsistencies in Konjac Pearl manufacturing.…”