Pengendalian Kualitas untuk Meminimalkan Jumlah Cacat pada Produk Kaleng Aeorosol


  • Rida Zuraida Bina Nusantara University
  • Bima Rantautama Bina Nusantara University
  • Notri Sutrisnohadi Bina Nusantara University
  • Chondro Dewo Adi Pratomo Bina Nusantara University



statistical quality control (SQC), failure mode and effect analysis (FMEA), aeorosol can


2.64% is the largest defect percentage of aerosol can product of PT Multi Makmur Indah Industri. To improve the product quality, the study focused on the goal of reducing the percentage of defects using the Statistical Quality Control. After gaining control of the company, we can calculate the process capability in the aerosol can manufacture. The next step is identification of the defects causes that arise using the failure mode and effect analysis (FMEA) method to measure the defect causes risks and as an input in determining control recommendations. From the observations and data processing, it is recognized that the overall phase of the process has a process capability value above 99%. 80% of defects in the aerosol cans product occur during the process of can making, component making and printing. While the most risking defect cause is the destruction of
machine B coating on the printing process (RPN = 245) and the quality of the welding wire on can manufacturing process (RPN = 160). Therefore, the solution to reduce the defect percentage is replacing the damaged coating machine B as well as upgrading the quality of the welding wire. Thus, it can reduce the loss
sale as much as 1.06% (Rp110,716,000) per month.


Plum Analytics


Besterfield, Dale H. (2009). Quality Control with Student CD 8th International Edition. New Jersey: Pearson Education.

Montgomery, Douglas C. (2009). Statistical Quality Control (6th edition). New York: John Wiley & Sons.

Stamatis, D. H. (2003). Six Sigma and Beyond: design for six sigma. Florida: CRC Press LLC.






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