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Analytics

Nuraini, Fitria Nita; Listyani, Indah; Prasasti, Karari Budi

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2025 FEB Universitas Maritim Semarang

This study aims to analyze the quality control of white crystal sugar production at ABC Sugar Factory using the Statistical Quality Control (SQC) method. The research employed a descriptive quantitative approach with a case study design. The primary data consisted of production volume and defective product data during the 2024 production period, while supporting data were obtained through observation and interviews with the Quality Control department. The analytical tools applied included check sheets, histograms, Pareto diagrams, p control charts, and fishbone diagrams. The results show that from a total production of 190,745.89 tons, defective products amounted to 66.70 tons, representing 0.33 percent of total output. The identified defects consisted of wet sugar at 45 percent, brownish sugar color at 30 percent, and oversized sugar crystals at 25 percent. Defective products occurred only during the first to third production periods, while no defects were observed from the fourth to seventh periods. The p chart analysis indicates that the production process was statistically out of control in the early periods but became stable and controlled in the subsequent periods. From a managerial perspective, these findings provide practical guidance for improving manufacturing quality through enhanced process control, equipment maintenance, and workforce capability development.

Julia Alfi Puan Ariani; Sunarso Sunarso

Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN) 2025 FEB Universitas Maritim Semarang

Mustofa Bakery is one of the businesses in Sukoharjo that operates in the food sector. The purpose of this study is to analyze product quality control using the Statistical Quality Control (SQC) method to reduce the number of damaged products and analyze the factors that cause product damage at Mustofa Bakery. The type of data used in this study is quantitative data. The data source used in this study is secondary data. Data collection methods by interview and observation. The data analysis technique used in this study uses the Statistical Quality Control (SQC) method. Based on the results of the research that has been done, it can be concluded that in March, April, and October it still exceeds the standard limit of production damage that has been set by Mustofa Bakery in Sukoharjo by 2%. The application of quality control with SQC can reduce the number of damaged products at Mustofa Bakery in Sukoharjo, proven to be true. The results of the Pareto Diagram of the types of damage that often occur are damage due to burning, 1,719 breads or 35.25%, damage due to inappropriate shape, namely 1,607 breads or 32.96%, and damage due to inappropriate texture as much as 1,550 breads or 31.79%. The results of the cause-and-effect diagram (fishbone) of the factors of product damage that occurred at Mustofa Bakery in Sukoharjo occurred due to machines, humans, methods, and raw materials.