Model dan Analisis Pengendalian Mutu Ayam Potong Beku di PT XYZ

Abstract

Penelitian ini bertujuan untuk mengevaluasi dan memperbaiki sistem pengendalian mutu pada proses penerimaan ayam potong beku di PT XYZ. Berdasarkan data check sheet dan analisis diagram Pareto, dua jenis defect yang paling dominan ditemukan adalah memar dan tirisan darah berlebih, yang secara kumulatif menyumbang lebih dari 70% dari total defect. Analisis penyebab dilakukan menggunakan Fishbone Diagram, dan penilaian risiko dilakukan melalui metode Failure Mode and Effects Analysis (FMEA). Hasil FMEA menunjukkan bahwa penyebab risiko prioritas berasal dari subjektivitas operator QC serta inkonsistensi kualitas dari pemasok RPA. Nilai RPN tertinggi mencapai 378. Untuk mengatasi hal tersebut, dirumuskan tiga strategi mitigasi utama, yaitu standardisasi lembar pengecekan dan panduan penilaian defect berbasis visual dan kuantitatif, pelatihan dan kalibrasi persepsi operator QC, serta pengembangan sistem evaluasi kinerja pemasok berbasis data kualitas. Hasil penelitian ini diharapkan dapat membantu PT XYZ dalam memperkuat sistem jaminan mutu dan mencegah defect mencapai konsumen akhir.

This study aims to evaluate and improve the quality control system for the acceptance of frozen broiler chicken at XYZ Co. Based on check sheet data and Pareto diagram analysis, the two most dominant types of defects found are bruising and excessive blood drainage, which cumulatively account for over 70% of the total defects. A root cause analysis was conducted using a Fishbone Diagram, and risk assessment was performed through Failure Mode and Effects Analysis (FMEA). The FMEA results indicate that the priority risk causes stem from the subjectivity of the QC operator and inconsistent quality from the RPA supplier. The highest RPN value reached 378. To address this, three main mitigation strategies were formulated: standardizing check sheets and visual-quantitative-based defect assessment guidelines, providing training and perception calibration for QC operators, and developing a quality-data-based supplier performance evaluation system. The results of this study are expected to help PT XYZ strengthen its quality assurance system and prevent defects from reaching final consumers