Disain Perlakuan Pasca Panen terhadap Kesegaran Bunga Potong Lili (Lillum sp) dengan Pendekatan Sistem Pakar Fuzzy

Abstract

This paper describes application of Fuzzy Expert System for design post harvest treatment of lili's cut flower freshness. The freshness of flower factor during display time as input in the system are atlected by organoleptic factors such as color. aroma. peiformance and fondness of flower; physical factors are physic color and percent of wilted of flower; and chemical! biochemical factor : absorption of holding solution. Whereas. the design of post harvest treatments are focused on two mayor treatment. that are pre-cooling time and temperature of storage during two days. Each of the freshness factors gives a degree of contribution in determining and evaluating for freshness of flower level. Knowledge base management system is constructed using rule based production type. whereas inference mechanism is developed using Mamdalli inference system. The implementation system is used Matlab's Fuzzy Toolbox Vs 6.1. The verification of fuzzy expert system was done by evaluation of compatibility beetweell input and output factor. thaI was based on research result by post harvest Iil;'s cut flower expert. The result of verificatioll system are pre-cooling time 30 - 60 minutes and temperature of storage during two days at range of 0 - 15°C. Key word: Fuzzy Expert System. Lili's cutflower. Mamdalli III/erellce System