Achmad Irfan Adi Surya
Program Studi Teknik Industri, Fakultas Sains dan Teknologi, Universitas Muhammadiyah Sidoarjo

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Analysis of the Sugar Production Process at PT. PG Candi Baru uses the Method Statistical Quality Control: Analisis Proses Produksi Gula di PT. PG Candi Baru menggunakan Metode Statistical Quality Control Achmad Irfan Adi Surya; Hana Catur Wahyuni
Indonesian Journal of Innovation Studies Vol. 26 No. 1 (2025): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i1.2407

Abstract

General Background Industrial sugar manufacturing requires strict quality control across multi-stage production processes to maintain product standards and reduce waste. Specific Background PT PG Candi Baru produces white crystal sugar under standardized raw material criteria but experiences persistent product defects in its finishing operations. Knowledge Gap Detailed empirical statistical analysis connecting process-level variations to specific sugar physical defect categories remains limited in local processing plants. Aims This study evaluates process stability and identifies root causes of product defects at PT PG Candi Baru using Statistical Quality Control tools. Results Pareto analysis reveals that oversized granules ("krikilan" at 11.8%) and undersized dust particles ("debuan" at 10.3%) represent the primary quality failures, with P-chart analysis confirming process instability exceeding upper control limits. Novelty The research maps explicit causal relations between machine vacuum pressure drops, operator inconsistencies, and grain size distribution in sugar manufacturing. Implications Establishing targeted standard operating procedures and preventive machine maintenance schedules will stabilize production quality and reduce defect rates. Key Findings Highlights Oversized sugar granules ("krikilan") and fine dust ("debuan") constitute 22.1% of total production defects. Statistical P-chart analysis demonstrates that defect proportions consistently exceed established upper control limits. Fishbone analysis links quality failures primarily to low evaporator vacuum pressure and unstandardized operator practices. Keywords Statistical Quality Control, Sugar Production, Defect Analysis, Pareto Diagram, Quality Management