Open AccessImplementation of Hybrid Method of Eckenrode and DIA for the Determination Customer Class
Author(s) -
A Kadir,
Muhammad Syaukani
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1007/1/012040
Subject(s) - class (philosophy) , customer value , sensitivity (control systems) , customer relationship management , value (mathematics) , computer science , process (computing) , decision support system , operations research , data mining , engineering , artificial intelligence , machine learning , database , operating system , hierarchy , electronic engineering , economics , market economy
Determination of customer class at the Municipal Waterworks (PDAM) of Balangan Regency so far has been done by calculating each indicator value and criteria that have been surveyed by PDAM officers for potential drinking water customers and the calculation is processed only beside the number of measures assessed, so it takes time and the assessment process. So to avoid dissatisfaction with potential drinking water customers, decision support systems should be used. The purpose of this research is to develop a decision support system for determining the class of drinking water customers using the Eckenrode and DIA methods. The test was conducted as many as 75 data samples to determine the level of accuracy and sensitivity of the system developed, and the results of the experiment showed that the accuracy value was 91%, and the sensitivity value was 93%. The results of this research conclude that the Eckenrode and DIA methods can be applied both in the development of decision support systems for customer classifications.