Imam , Sodikin and Ahmad , Mustain (2013) PERANCANGAN SISTEM INFORMASI DETEKSI CACAT KAIN UNTUK MENINGKATKAN KUALITAS PRODUK. In: Seminar Nasional Teknik Industri 2013, Surabaya.
Abstract
Quality is standard to consumers of the product selected, so the company must ensure that the product is marketed products that passed the inspection, and quality or defects. PT. Primissima is a company that produces fabric, with the problems encountered is the presence of defects in the fabric that is not detected in the inspection process. Additionally fabric grading process is done manually, requiring high accuracy of the operator in charge and is strongly influenced by the factors of fatigue and concentration. Detection quality in this study using the model of Quality Control Simulation (QCSim). Software to detect fabric defects using Borland Delphi 7.0 programming language. Results obtained in the form of information that classify detection results in a fabric sample to a good fabric, including the type of handicap or disability. Defect can be determined by looking at the red block on the fabric. Output current detection program on fabric 25 showed that the percentage of each type of defect is 0%. This indicates that the fabric is a fabric that is not defective. 2nd detection, showed that the fabric 26 is less warp fabric defects with a percentage of 94.87%. Results showed the detection of red cloth blocked in the presence of defect location. 3rd detection, shows that 30 is a cloth fabric defects broken feed with 84.47% percentage. Defect detection is less feed shows the percentage of 1.34%, meaning that the fabric can not rework, so that the production process can be immediately corrected. Fabric can not rework for defect type collapse, loose feed, less warp and weft break up any percentage. Keywords: Information Systems, Defect Detection, Quality, Simulation
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