Application of capacity sensor control in the organic waste bioconversion process to optimize standard time and work posture assessment

Industrial Engineering, Faculty of Engineering, Dian Nuswantoro University, Semarang, Central Java, Indonesia

^* Corresponding author: ratih.setyaningrum@dsn.dinus.ac.id

Abstract

Organic waste can be processed into organic products to support agriculture. It is necessary to optimize the bioconversion technology system for processing organic waste into products with added value and selling value. This research aims to evaluate and optimize the stages of bioconversion using capacity sensor control, establish standard processing times, and assess worker posture. The data obtained directly is based on observations and interviews with workers at Repro MSMEs. The primary data taken are: data on the sequence of the maggot production process. Optimizing bioconversion using capacity sensor control. The next process is calculating standard time and assessing REBA work posture. The application of a smart bioponds design that uses capacity sensors is able to optimize standard time and posture assessment. Body posture of production process workers after improvement, namely in enumeration using a REBA score machine of 5 with a medium risk level and sifting using a REBA score machine of 3 with a small risk level.