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FACTOR ANALYSIS OF HEALTHY FOOD PHOTOGRAPH Nindya Laksita Laras; Mirwan Ushada; Titis Wijayanto
ASEAN Journal of Systems Engineering Vol 6, No 1 (2022): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajse.v6i1.76128

Abstract

Lockdown is one way to reduce the transmission rate of COVID-19. Nevertheless, on the other hand, lockdowns also increase human psychological problems to cause the emergence of emotional eating. In addition, social media exposure that presents food photos can trigger the desire to eat. However, this only applies to high-fat and high-calorie foods, while healthy foods do not have the same stimuli. Therefore, more research is needed on the properties of healthy food photos desired by consumers in order to be able to create or design healthy food photos with an effect that resembles photos of high-fat and high-calorie foods. This study employed the Kansei Engineering approach in designing healthy food photos. Through Kansei Engineering, we can determine the nature of healthy food photos consumers want. The type of Kansei engineering used in this study was Kansei Engineering Type I and was limited to the Semantic Space stage. The process of factor reduction from the results of the semantic differential was carried out by using factor analysis to obtain the most critical factors related to healthy food photos. The semantic space spanning resulted in 23 pairs of Kansei words that related and represented healthy food photos. Based on the factor analysis results, these Kansei words were then into 6-factor groups. Each of the factor groups was represented by the Kansei word pair with the highest loadings value. The selected pair of Kansei words showed that healthy food photos could be represented by Kansei words attractive, contrast, proper lighting, neat, high-quality image, and straightforward. 
Frozen Tilapia Fillets Business Process Analysis Using Integration Definition for Function Modelling Sintia Putri Pradita; Nindya Laksita Laras
Agroindustrial Journal Vol 9, No 1 (2022)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v9i1.84127

Abstract

Aquaculture products in Indonesia have great potential in line with population growth. The demand for frozen tilapia fillets is increasing both in Indonesia and globally. Our objectives are to identify the current business process activities of a frozen tilapia fillet product, analyse problems and provide improvement strategies. In-depth interviews and observations were conducted with stakeholders. The business processes were analyzed using an Integration Definition for Function Modelling (IDEF0) to identify the activities and problems at the organizational level, the production plant level and the production department level. The results at the production plant level showed that there was a lack of strategic forecasting and inventory management in the planning activity. In the sourcing activity, the limited number of suppliers and inconsistent fish quality were the main problems. The lack of implementation of a good material handling and production system was a concern in the making activity. The problem in the delivering activity was the lack of product tracking which results in product returns due to defects. The researchers' recommendations, based on several literature reviews, are expected to improve the supply chain of frozen tilapia fillets in Yogyakarta and Central Java to increase its competitive advantage.