Rank Computation Model for Distribution Product In Fuzzy Multiple Attribute Decision Making

Peneliti

R. Fenny Syafariani, M.Stat. Assoc. Prof. Dr. Agus Nursikuwagus, ST.,MT.,MM.

Deskripsi/Abstrak

The ranking of an activity is very important to support work effectiveness. Ranking methods are widely used, starting with statistical techniques or using averages. This study aims to assist the ranking with a computational model based on Fuzzy Multiple Decision Making (FMADM). To get an effective ranking, a variable in FMADM computing is required. The variables used in this study are the number of households, the number of small-scale enterprises run by households, the gross domestic regional income, and the economic growth rate of a region. Research completion is assisted by using self-built research methods. The research method consists of determining the value of origin, determining the degree of membership, determining the weight of each variable, the calculation of relation matrix, the calculation of the preference value in each village for the ranking value, and the last to do the sorting. While the results obtained are 7% or 5 villages with the highest priority value, 62% or 44 villages with medium priority, and 31% or 22 villages with low priority. This result cannot be separated from the error is also a 5% of the mean square root error