GRAFIK PENGENDALI INDIVIDUAL NONPARAMETRIK DENGAN ESTIMATOR KERNEL UNTUK FUNGSI DISTRIBUSI KUMULATIF; NONPARAMETRIC INDIVIDUAL CONTROL CHART BASED ON KERNEL ESTIMATOR FOR CUMULATIVE DISTRIBUTION FUNCTION

Ovvie Junia Astari, Danardono

2015 | Skripsi | FMIPA

One of the tools that used to perform statistical quality control is a control chart. Sometimes the data found can’t be analyzed in parametric way. Therefore, to resolve the issue we use nonparametric control chart. Nonparametric analysis can be estimated by various methods, one of which is a kernel estimate for the cumulative distribution function. Two things that very important from the kernel estimator are the selection of the bandwidth and the kernel function K. In this paper, the method of selecting the bandwidth is the plug-in Altman and Leger, and the kernel function that used is epanechnikov. This thesis applies nonparametric individual control chart based on kernel estimator for the cumulative distribution function to analyze the quality of the yarn strength production type 30 RT Siro Kepyur Cop at PT PISMA PUTRA TEXTILE. By comparing this nonparametric control chart with Shewhart individual control chart, it shows that the nonparametric kernel control chart produce better analysis.

Kata Kunci : individual control chart; nonparametric; the kernel estimator for the cumulative distribution function; bandwidth; plug-in Altman and Leger; epanechnikov kernel function.