Development of a Traceability System for Fresh Tuna Loin (Thunnus sp) Quality Based on Various Handling Temperatures at FPU XYZ Using Quick Response (QR) Codes

This study aims to: (1) identify the supply chain at FPU XYZ in Gorontalo City; (2) determine the quality of fresh tuna loin at each stage of the supply chain based on handling temperatures; (3) evaluate the validity of the QR Code during scanning; and (4) analyze the implementation of a QR Code-based traceability system for fresh tuna loin. The research methodology involved surveys and laboratory tests. Sampling was conducted using non-probability purposive sampling, with 19 respondents from a total population of 30, comprising fishermen, collectors, and FPU staff. Laboratory results were obtained using a completely randomized design and analyzed with ANOVA. The results indicate that: (1) the traceability of fresh tuna loin quality at FPU XYZ involves three supply chain stations: fishermen, collectors, and FPU; (2) laboratory test results on histamine content, Total Plate Count (TPC), and Salmonella based on different handling temperatures and samples across the supply chain meet the standards of SNI 2354.10:2016, SNI 2332.3:2015, and SNI 01-2332.2-2006; (3) information from laboratory tests formatted as QR Codes has been validated by expert validators and deemed valid based on three assessment aspects; (4) the traceability system for fresh tuna loin quality based on QR Code can be accessed anytime and anywhere.

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Publication Details

Journal
Asian Journal of Fisheries and Aquatic Research
Published
2024-11-07
DOI
https://doi.org/10.9734/ajfar/2024/v26i11834
Citations
1
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
0.23
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article

Development of a Traceability System for Fresh Tuna Loin (Thunnus sp) Quality Based on Various Handling Temperatures at FPU XYZ Using Quick Response (QR) Codes

Asri Silvana Naiu, Lukman Mile, Rikfandi Lasewa
1 citations
Asian Journal of Fisheries and Aquatic Research
Identification and Quantification in Food
0.23
article

Development of a Traceability System for Fresh Tuna Loin (Thunnus sp) Quality Based on Various Handling Temperatures at FPU XYZ Using Quick Response (QR) Codes

Asri Silvana Naiu, Lukman Mile, Rikfandi Lasewa
article en
1 citations

Abstract

This study aims to: (1) identify the supply chain at FPU XYZ in Gorontalo City; (2) determine the quality of fresh tuna loin at each stage of the supply chain based on handling temperatures; (3) evaluate the validity of the QR Code during scanning; and (4) analyze the implementation of a QR Code-based traceability system for fresh tuna loin. The research methodology involved surveys and laboratory tests. Sampling was conducted using non-probability purposive sampling, with 19 respondents from a total population of 30, comprising fishermen, collectors, and FPU staff. Laboratory results were obtained using a completely randomized design and analyzed with ANOVA. The results indicate that: (1) the traceability of fresh tuna loin quality at FPU XYZ involves three supply chain stations: fishermen, collectors, and FPU; (2) laboratory test results on histamine content, Total Plate Count (TPC), and Salmonella based on different handling temperatures and samples across the supply chain meet the standards of SNI 2354.10:2016, SNI 2332.3:2015, and SNI 01-2332.2-2006; (3) information from laboratory tests formatted as QR Codes has been validated by expert validators and deemed valid based on three assessment aspects; (4) the traceability system for fresh tuna loin quality based on QR Code can be accessed anytime and anywhere.

Asian Journal of Fisheries and Aquatic ResearchVol. 26(11)
Universitas Ichsan Gorontalo (ID), State University of Gorontalo (ID)
Life below water
Openalex Percentile: Top 41%
Identification and Quantification in Food
0.23
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Development of a Traceability System for Fresh Tuna Loin (Thunnus sp) Quality Based on Various Handling Temperatures at FPU XYZ Using Quick Response (QR) Codes — Asri Silvana Naiu, Lukman Mile, et al. · Asian Journal of Fisheries and Aquatic Research (2024) | TGRS Research Map | TGRS