PENERAPAN METODE PENGENDALIAN KUALITAS MEWMA BERDASARKAN ARL DENGAN PENDEKATAN RANTAI MARKOV (Studi Kasus: Batik Semarang 16, Meteseh)

An industrial company requires quality control to maintain consistency from the production results so that it is able compete with other companies in world market. In sector, most processes are influenced by more than one characteristic. One tool can be used characteristic Multivariate Exponentially Weighted Moving Average (MEWMA) chart. The graph determine whether process has been controlled or not, if not yet controlled, next analysis use Run Length (ARL) Markov Chain approach. markov chain chance of today's event only yesterday's incident, this case incident question getting a sampel data on batik cloth get product accordance standards. ARL average number sample points drawn before point indicates an uncontrollable state. study, 60 were which consisted three characteristics, namely length cloth, width and time fabric for written Batik Semarang 16 Meteseh. Based discussion done, MEWMA controller chart uses λ weighting determined using trial error. said stable = 0.6, after calculating, value obtained Upper Control Limit (BKA) 11.3864 Lower (BKB) 0. It known samples there Tj2 comes out upper limit where amount 15.70871, statistically. Improvements done based final project, 200, magnitude shift 1.7 r 0.28, constant parameter graph. optimal approach no outside (BKA). show statistically capable because MCpm 0.516797 MCpmk 0.437807, capability index less 1. Keywords: Handmade batik, (MEWMA), (ARL), Capability process.