Pengendalian Kualitas Produk Gula Kristal Putih Menggunakan Metode Statistical Quality Control

Abstract

GKP (Gula Kristal Putih) adalah gula tebu yang dapat dikonsumsi secara langsung. PT XYZ merupakan perusahaan yang memproduksi GKP, produk yang reject akan dilakukan rework, namun kegiatan tersebut akan menambah jumlah biaya produksi. Penelitian ini bertujuan menganalisis reject produk GKP menggunakan bantuan alat statistika berupa metode SQC (Statistical Quality Control) sebagai upaya pengendalian kualitas. Alat bantu SQC diantaranya check sheet, bagan kendali, diagram pareto, dan diagram sebab akibat agar diketahui faktor penyebab permasalahan sehingga didapatkan solusi perbaikan. Jenis reject yang terjadi di bulan September adalah off colour dan flushing. Hasil dari check sheet menunjukkan bahwa total persen reject mencapai 1,98%. Untuk p-Chart terdapat 4 titik dalam batas kendali sedangkan 12 titik lainnya berada diluar batas kendali atas dan bawah. Berdasarkan diagram pareto fokus perbaikan yaitu off colour yang memiliki frekuensi reject tertinggi sebesar 95,85%. Berdasarkan analisis diagram sebab akibat, faktor penyebab off colour adalah faktor manusia, mesin, metode, dan material.

GKP (White Crystal Sugar) is cane sugar that can be consumed directly. PT XYZ is a company that produces GKP. Rejected products will be reworked, but these activities will increase production costs. This research aims to analyse GKP product rejects using the help of statistical tools in the form of the SQC (Statistical Quality Control) method as a quality control effort. SQC tools include check sheets, control charts, pareto diagrams, and cause and effect diagrams in order to identify the causal factors of the problem so that an improvement solution is obtained. The types of rejects that occurred in September were off colour and flushing. The results of the check sheet show that the total percent of rejects reached 1.98%. For the p chart, there are 4 points within the control limits, while the other 12 points are outside the upper and lower control limits. Based on the pareto diagram, the focus of improvement is off colour, which has the highest reject frequency of 95.85%. Based on the causal diagram analysis, the factors causing off-colour are human factors, machines, methods, and materials.