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All Journal AkMen JURNAL ILMIAH Jurnal Bisnis dan Kewirausahaan
Indra Abadi
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Other

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PENGGUNAAN ALAT STATISTIK DALAM RANGKA PENGENDALIAN KUALITAS PRODUK MARMER PADA PT. MAKASSAR MARMER MULIA INDAH Indra Abadi
AkMen JURNAL ILMIAH Vol 12 No 4 (2015): AKMEN Jurnal Ilmiah
Publisher : Lembaga Penelitian dan Publikasi Nobel Indonesia

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Abstract

PT. Makassar Marmer Mulia Indah is a company engaged in manufacturing that produce marble. In order to maintain the confidence of consumers, in 2000, the company has obtained ISO 9001: 2000. The fact that it happens that the percentage of damage to marble products for each type of product on average above 6% or it can be concluded that the production process is not progressing normally. To determine the control system is functioning properly then use statistical tools and supported by the data sheet, histogram, control chart, Pareto diagram and fish bone diagram
APLIKASI STATISTICAL QUALITY CONTROL DAN SIX SIGMA UNTUK PENGENDALIAN KUALITAS PRODUK TILES PT. AVW YANG Indra Abadi
Jurnal Bisnis dan Kewirausahaan Vol. 5 No. 2 (2016): Jurnal Bisnis dan Kewirausahaan
Publisher : Lembaga Penelitian, Publikasi dan Pengabdian pada Masyarakat (LP3M) Nobel Indonesia

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Abstract

This study aims to know how the application of statistical process control and Six Sigma in order to control the product process tiles. Namely primary data collection methods (surveys and observations) and secondary (internal and external). The data used is quantitative data (ratio). The population of 1,250 sheets per day and a sampling technique that probability sampling (simple random sampling) of 125 sheets per day. Pnelitian method used is cheek sheet, control of variable quality, six sigma, cause-effect diagrams, control charts. The results of the discussion concluded that all the samples had levels of accuracy and precision are high that the control process is running normally. The level of sigma level achieved by 2, where the tiles are defective products amounted to 44.43% or 1,000,000 444 300 pieces per sheet.
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