Sistem Intelijen Untuk Diagnosa Dan Terapi Kesehatan Manajerial Internal Perusahaan Agroindustri

Abstract

This paper discusses the development of an early detection software module for internal managerial aspects of agroindustry companies health level using fuzzy-neuro techniques. The diagnosis module covers the planning and operation stages. The software module is known as an intelligent system for diagnosis and therapy the appropriate condition of the internal managerial aspects of an agroindustry company, (SIDTKP). In this module the appropriate company health condition is classified in three categories: excellent, good or bad The SIDTKP input is the auditory result of the company done by an independent company's auditor. The role of fuzzy logic is to imitate the logic flow of control. Neural networks are used to determine the maksima approach value of the inference result. The fuzzy-neuro technique is implemented in Matlab version S.Z. The SIDTKP conclusion depends strongly on the given value by the auditor