%0 Thesis
%9 Skripsi
%A Qurrota A’yun Dhia Sari, NIM.: 22106060070
%B FAKULTAS SAINS DAN TEKNOLOGI
%D 2026
%F digilib:76889
%I UIN SUNAN KALIJAGA YOGYAKARTA
%K Pengendalian Mutu, Defect, Komponen, Stasiun Kerja Mill 1, Six Sigma, DMAIC
%P 138
%T ANALISIS PENGENDALIAN MUTU PRODUKSI KOMPONEN PADA STASIUN KERJA MILL 1 DENGAN METODE SIX SIGMA (STUDI KASUS PT. ALIS JAYA CIPTATAMA)
%U https://digilib.uin-suka.ac.id/id/eprint/76889/
%X This research aims to improve the quality of the wood component production process at the Mill 1 workstation of PT. Alis Jaya Ciptatama by using the Six Sigma method through the DMAIC approach. In the define phase, the process was identified using a SIPOC diagram, which includes suppliers from the previous workstation, inputs in the form of large wooden boards, the production process, outputs in the form of components, and customers is Mill 2 workstation. Based on this identification, it was found that the main problem lies in the process output, which still produces a relatively high number of defects and does not meet customer requirements. There are five types of defects that do not meet the CTQ characteristics and thus become the main focus for quality improvement, namely cracks and holes, knots, incorrect dimensions, colour defects, and grain defects. Based on sigma level calculations, the process capability ranges between 2.9 and 4 sigma. In the analyze phase, the highest defects identified were wood cracks at 39% and knots at 42%. These were further analyzed using a Pareto diagram, which showed that both defects have a cumulative percentage of 81%, in accordance with the Pareto principle. Subsequently, root cause analysis was conducted using a fishbone diagram. In the improve phase, the FMEA results indicate that the main cause of knot defects is an ineffective raw material selection process, with an RPN of 156. Meanwhile, for crack and hole defects, the primary cause is aging machines that generate unstable vibrations, with an RPN of 160.9. Therefore, based on the 5W+1H analysis, proposed improvements include developing standardized SOPs for raw material selection, utilizing visual grading tools, as well as implementing machine rejuvenation and preventive maintenance.
%Z Ir. Khusna Dwijayanti, S.T., M.Eng., Ph.D., ASEAN Eng.