Artificial Neural Network Model for Affective Environmental Control System in Food SMEs

Mirwan Ushada, Tsuyoshi Okayama, Atris Suyantohadi
2018 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
This paper presents an affective environmental control system for Small and Medium -sized Enterprises (SMEs). The system is proposed as a technology innovation in appropriate information technology. It is defined that workplace environment set points could b e controlled using worker workload. The research ob jectives are: 1) To design an affective environmental control model for SME; 2) To develop an Artificial Neural Network (ANN) model for predicting affective environment set points. The
more » ... em consisted of 4 sub -systems as measurement, assessment, control and decision. An ANN model is developed for sub -systems of control. Training and validation data are acquired from 4 (four) samples of SME in Yogyakarta Special Region, Indonesia. The model has b een developed successfully to predict temperature and light intensity set points using b ack -propagation supervised learning method. The research results indicated the satisfied performance of ANN with minimum error. ANN model indicated the closeness of R 2 value b etween training and validation data. The research results could b e applied to support the worker productivity in food SMEs b y providing a comfort workplace environment and optimum worker workload.
doi:10.12928/telkomnika.v16i3.7437 fatcat:2qilwd6d7nfvpdfn7mcdsgwvo4