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All Journal Grouper: Jurnal Ilmiah Perikanan Journal of Embedded Systems, Security and Intelligent Systems Journal of Renewable Energy and Smart Device
Rahmad Surya Hadi Saputra
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Veterinary

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Application of GMP and SSOP to the Production of Natural CO Frozen Red Kakap (Lutjanus sp.) Fillets at PT. Alam Jaya Surabaya Pola S.T. Panjaitan; Iman Mukhaimin; Dita Dwi Ambarwati; Rahmad Surya Hadi Saputra; Liliek Soeprijadi
Grouper Vol. 16 No. 1 (2025): Grouper : Jurnal Ilmiah Perikanan
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/grouper.v16i1.242

Abstract

According to BKIPM-KKP data, throughout 2022 - 2023 there were a total of 29 cases or 0.028% of the total 102,570. The cause was the finding of heavy metal content such as mercury that exceeded the threshold, namely 2 cases in Germany and 2 cases in France. In addition, 1 rejection case in Spain related to the lack of temperature control, and 1 case in Russia related to the finding of E. coli bacteria. One of the considerations for consumers in choosing products to be consumed is to ensure that the food produced is safe for health with guaranteed hygiene. The implementation of good production methods and sanitation procedures is based on a standard guideline, namely Good Manufacturing Practices (GMP) and Standard Sanitation Operating Procedure (SSOP). This study aims to determine the GMP and SSOP of frozen red snapper fillets. The methods used were observation, interview, and active participation. The results of the cold chain implementation are in accordance with the standard, the results of the yield calculation are in accordance with the company standard of 43-44%, the results of GMP and SSOP analysis have met the standards of PERMEN KP Number 17 of 2019. Key words: GMP; SSOP; Fillet; CO
Semar AquaConnect: A Closed-Loop IoT System for Real-Time Monitoring and Autonomous Control in Catfish (Pangasianodon hypophthalmus) Larvae Rearing Rafif Zainun Ridhwan; Basino; ⁠Berbudi Wibowo; Rahmad Surya Hadi Saputra; ⁠I Ketut Daging; Yusuf Syam; Akhmad Syarifudin; Ade Hermawan
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 1 (2026): March 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i1.11782

Abstract

Purpose – This study aims to develop and validate Semar AquaConnect, a closed-loop Internet of Things (IoT) system for real-time monitoring and automated environmental control in catfish (Pangasianodon hypophthalmus) larval rearing tanks. Design/methods/approach – The system integrates an ESP32-based controller with sensors for temperature, pH, dissolved oxygen, total dissolved solids, and water level, as well as relay-based control of pumps, an aerator, and an immersion heater. A web-based dashboard and Telegram Bot were also developed for remote monitoring, data visualization, and emergency notifications. System performance was evaluated through sensor accuracy testing and repeated simulated extreme-condition scenarios (n=5). Findings – The results showed low mean differences of 0.12°C for temperature, 0.33 for pH, 0.08 mg/L for dissolved oxygen, and 5.10 ppm for total dissolved solids. In simulated scenarios, the system achieved a 100% relay activation success rate, including responses to critical pH fluctuations and temperature drops. Mean response latency ranged from 0.85 ± 0.10 s to 1.42 ± 0.18 s. Research implications/limitations – This study is limited to technical validation and has not yet included live biological trials to measure actual larval survival improvement. Originality/value – The study presents an integrated smart aquaculture platform combining multi-parameter sensing, autonomous actuator control, and dual-interface remote monitoring for catfish larval rearing.
Design and Calibration of Water Quality Monitoring System Based on Internet of Things Basino; Rafif Zainun; ⁠Berbudi Wibowo; Rahmad Surya Hadi Saputra; I Ketut Daging; Yusuf Syam; Akhmad Syarifudin; Ade Hermawan
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.429

Abstract

Real-time water quality monitoring is crucial for modern aquaculture. However, low-cost Internet of Things (IoT) systems frequently struggle with analog sensor precision due to the limitations of internal microcontrollers. This study presents the design, calibration, and performance evaluation of a highly precise IoT-based water quality monitoring system. The hardware architecture utilizes NodeMCU ESP-32 microcontroller integrated with an external ADS1115 16-bit Analog-to-Digital Converter (ADC) module. This integration effectively mitigates signal noise and accurately processes analog inputs. The system continuously measures temperature using a DS18B20 sensor, alongside pH, Dissolved Oxygen (DO), and Total Dissolved Solids (TDS). To ensure industrial-grade reliability, rigorous sensor calibration was executed using linear regression and standard buffer solutions prior to deployment. A 14-day comparative field test was then conducted against calibrated commercial handheld instruments to validate the system's accuracy. The statistical evaluation demonstrated exceptional precision, yielding minimal average measurement errors of 0.08°C for temperature, 0.35 for pH, 0.24 mg/L for DO, and 6.80 ppm for TDS. Furthermore, linear regression analysis confirmed highly robust data correlations between the IoT sensors and the standard devices. The system achieved coefficient of determination ($R^2$) values of 0.9928 for the temperature sensor, 0.8906 for pH, 0.9962 for DO, and 0.7656 for TDS. These results mathematically confirm that integrating an external high-resolution ADC alongside comprehensive statistical calibration significantly enhances measurement stability. Ultimately, this approach successfully elevates the precision of low-cost IoT monitoring systems for aquaculture applications.
Co-Authors Ade Hermawan Akhmad Syarifudin Basino Daging, I Ketut Dita Dwi Ambarwati Mukhaimin, Iman Pola S.T. Panjaitan Rafif Zainun Rafif Zainun Ridhwan Soeprijadi, Liliek Yusuf Syam ⁠Berbudi Wibowo ⁠I Ketut Daging