ANALISIS PENGENDALIAN KUALITAS PRODUK KAIN BATIK TULIS DALAM UPAYA MEMINIMALISIR KECACATAN PRODUK DENGAN MENGGUNAKAN METODE STATISTICAL PROCESS CONTROL (SPC) (Studi Kasus Pada IKM Deden Batik di Kota Tasikmalaya)

Authors

  • Nopal Aldita Nopal Aldita Nopal Aldita

Keywords:

Quality Control, Statistical Process Control (SPC) method, 5W 1H

Abstract

Abstract Quality control is a technique and activities or planned actions taken to achieve, maintain and improve the quality of a product so that it complies with established standards and can meet customer satisfaction. Deden Batik is one of the quite large of IKM engaged in manufacturing located in Cigeureung, Tasikmalaya City. The problem that always occurs at IKM Deden Batik is that companies often find defective or products that are not in accordance with company standards on batik cloth in every production. Therefore, we need a quality control analysis using the Statistical Process Control (SPC) method to improve product quality by classifying the types of defective products and what factors cause defect in the production process, so it can be known the types of damage and factors that greatly affcet the product defects. From the results of the analysis through the Pareto diagram, the most dominant type of defect product is obtained that the pattern exceeds the pattern by 39%. In Control Chart C the number of defects that occur in batik cloth products is still within control. The results of the cause-effect diagram of the factors that cause  defects in the pattern are defective operators who are not careful when “mencanting”, lack of machine maintenance, product quality is not good, when holding “canting” operators is not right. From 5W+1H The right solution is to make a break schedule using a bell, make SOP and conduct inspections of raw materials, attach a schedule to each machine used, conduct training for old and new operators who still often make mistakes in the production process.

Keywords Quality Control, Statistical Process Control (SPC) method, 5W+1H

Additional Files

Published

2020-11-21