Kharisma Fitri Hapsari
Sekolah Vokasi IPB University

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Journal : Journal of Innovative and Creativity

Analisis Pengendalian Kualitas Produk Bakso Ikan Tuna pada PD. Anugrah Menggunakan Metode Statistical Process Control (SPC) Nazwa Alya Izabella; Muhammad Naufal Fajar Siddiq; Dipta Fathin Abiyu; Gelbina Setianisa; Eci Mahera; Kharisma Fitri Hapsari
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.5185

Abstract

Quality control is an important aspect in ensuring consistent product quality in the food processing industry, as consistency is a key requirement for maintaining consumer trust. Every food processing company, including PD. Anugrah, is required to minimize quality issues in its products and reduce wasteful activities that do not provide added value. PD. Anugrah is a company engaged in the production of fish-based meatballs made from tuna. In its production process, several types of defects are found, such as inconsistent size, color defects, texture defects, leaking packaging, and insufficient filling. This research aims to analyze waste in the production process and identify the most dominant product defects in order to formulate effective corrective actions. The analytical methods used include the Lean Manufacturing and Statistical Process Control approaches, employing eight key tools in Lean Manufacturingtransportation, inventory, motion, waiting, overproduction, overprocessing, defects, and safety/health injuries and three tools from the Seven Tools of Quality: check sheet, Pareto diagram, and fishbone diagram as instruments to determine the root causes of problems. Based on the results of the Pareto diagram analysis, the main problems reached 87.58%, with the four highest defect factors being inappropriate product size at 24.31%, texture defects at 22.87%, leaking packaging at 20.40%, and color defects at 20.0%. Analysis using the Fishbone Diagram showed that the causes of these defects included human factors, work methods, machinery, materials, environmental conditions, and measurement systems. To reduce the defect rate, improvements are needed in workforce management, machine technology, standardization of methods and measurement, as well as environmental condition management.
Analisis Pengendalian Mutu Dengan Metode Statistical Process Control Pada Budidaya Ikan Komet Di Cibaraja Fish Siti Syabrina Nur Aisyah; Tio Dwi Saputra; Muhamad Afrizal Fahmi; Nuraeni Nuraeni; Kharisma Fitri Hapsari; Siti Salwa
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.5243

Abstract

ABSTRACT Innovation in ornamental fish cultivation plays a vital role in improving productivity and the economic value of aquaculture commodities, including the cultivation of comet fish (Carassius auratus). This study aims to analyze the input, process, output, and challenges encountered in comet fish farming. The research employs a descriptive qualitative approach using in-depth interviews and literature review. The results indicate that key factors influencing cultivation success include broodstock quality, feed management, and water quality control. Quality control strategies are applied to maintain fish health and minimize mortality rates. Additionally, this study applies Statistical Process Control (SPC) to analyze and manage variability during the cultivation process. SPC is used to monitor parameters such as temperature, pH, dissolved oxygen, and fish growth to ensure production consistency. The implementation of this cultivation innovation is expected to improve production efficiency, enhance the quality of comet fish, and support the sustainability of small and medium-scale aquaculture enterprises. Keywords: Innovation, Comet Fish Cultivation, Water Quality, Input-Process-Output, Statistical Proces Control