Control diagram attributes to monitor client loyalty.

Anita Puspita Nurkamilah

Abstract


In a competitive market, the business performers contiously satisfy client satisfaction that causes the loyalty of clients increase. Satisfaction is one of important factors to measure client loyalty. Loyalty is usually measured by percentage level of client who buys the product, either goods or services. Loyalty program of client statictic made by monitoring using control diagram of process statistic. Control diagram that is usually used in manufacturing business is known as control diagram of atribute. In the case of client loyalty,  present control diagram of atribute is not suitable to be used because it uses multinominal distribution. Therefore, the present control diagram is needed in order to control it in line with quality characteristic of services. This study describes control diagram of chi-quadrate, control diagram of client loyalty, control diagram of likelihood ratio. Each control diagrams are applied in loyalty proportion monitoring of UNISBA students with five levels of satisfaction to UNISBA library.

Keywords


Client satisfaction, client loyalty, control diagram, logistic regression.

References


Montgomery, D.C. dan Mastrangelo, C.M. 2001, Statistical Quality Control, six edition. United States of America (USA)

Hogg, R.V. dan Craig, A.T. 1995, Introduction to Mathematical Statistics, Fourth Edition, Macmillan Publishing Co., Inc. NEW YORK

Tjiptono, dan Budiarto, T. 2000, Pemasaran internasional, edisi pertama, BPFE, Yogyakarta

Freund JE. 1992, Mathematical statistics, five edition. Prentice-hall: New jersey.

Myers, R.H, Montgomery, D.C, dan Vining, G.G. 2002, Generalized linear models, with applications in engineering and the sciences. Wiley : New York.

Samimi, Y. Aghaie, A. dan Tarokh, M.J. 2010. Analysis of ordered categorical data to develop diagram kontrols for monitoring customer loyalty. Journal of appl. Stochastic models, 26:668-688.

Mood, A.M. Graybill, F.A. dan Boes, D.C. 1974. Introduction to the theory of statistics, third edition. McGraw-Hill: New York.




DOI: http://dx.doi.org/10.29313/.v0i0.2616

Flag Counter     Â