Penerapan Bagan Kendali MEWMA-MEWMV pada Pengendalian Kualitas Lulusan Prodi Statistika FMIPA Universitas Syiah Kuala

Statistical technique used to analyze quality problems and improve process performance is Process Control (SPC). In this study, multivariate control chart the of graduates Statistics Study Program, FMIPA USK, namely using Multivariate Exponentially Weighted Moving Average (MEWMA) average, Variance (MEWMV) variability, analysis Capability assess entire process. Data secondary data, GPA duration thesis preparation, length study for USK in 2016-2021 as many 122 people. Results MEWMA chart, it was found that average statistically controlled phase II. Selection most optimal weighting λ=0.9. Meanwhile, application MEWMV variability also controlled. The selection weights λ =0.9 ω=0.3. results calculation capability, multivariately variable, final project show all three are not capable.