Rancang Bangun Alat Pendeteksi Kesegaran Ikan Berbasis Internet Of Things (IoT)

Authors

  • Risky Pratama Politeknik Pelayaran Surabaya

DOI:

https://doi.org/10.61132/jupiter.v2i3.308

Keywords:

Detection of Formaldehyde in Fish, Sensor TCS3200, Sensor HCHO, Freshness of Fish, Internet of Things (IoT)

Abstract

Design and Development of an Internet of Things (IoT)-Based Fish Freshness Detection Device. Guided by Mrs. Henna Nurdiansari, S.T., M.T., M.Sc. and Mrs.  Monika Retno Gunarti, S.Si.T., M.Pd. Indonesia has a great potential in fish production, reaching 12 million tons annually, accompanied by an increase in fish consumption. However, significant challenges arise regarding food safety, especially concerning the sale of non-fresh fish and the presence of formalin. As an innovative solution, a fish freshness and formalin detector based on IoT was developed. This device utilizes the TCS3200 sensor to detect color intensity and the HCHO sensor to detect formalin. This research employed the Research and Development (R&D) method to produce an effective detection device. When the LED is green without a buzzer sound and the LCD displays "Fresh Fish" or "Formalin Free," the fish can be confirmed to be fresh and free of formalin. However, if the LED is red, the buzzer turns on, and the LCD displays "Non-Fresh Fish" or "Fish with Formalin," the fish is considered to be below standard or contains formalin. The device categorizes fish condition into three groups: green (fresh), yellow (less fresh), and red (not fresh), reflecting the fluctuating freshness level. When the HCHO sensor reads a value above 0.5 ppm, the fish is considered to contain formalin, while below 0.5 ppm is considered safe and free from formalin. Therefore, this device can be an effective solution in detecting fish freshness and formalin content, ensuring food safety for consumers.

References

Adi, C. P., dkk (2021). Pembuatan prototipe penentu kesegaran ikan patin Berbasis sensor TCS 230. Airaha, 10(01), 123–130.

Anggraini, R. (2018). Dampak Formalin pada Kesehatan. Jurnal Kesehatan Masyarakat, 6(1), 1-9.

Asriyana, A. (2018). Karakteristik dan Potensi Ikan Tongkol (Euthynnus affinis) di Indonesia. Jurnal Perikanan dan Kelautan, 9(1), 1-10.

BPOM. (2021). Pedoman Cara Pengolahan dan Penanganan Olahan Beku Yang Baik. In Badan Pengawas Obat dan Makanan. Jakarta: BADAN PENGAWAS OBAT DAN MAKANAN RI.

Chakraborty, S., & Bhattacharya, A. (2021). IoT platform: An overview. In Internet of Things : A Comprehensive Survey (pp. 189-210). Springer.

Dhamija, S. (2012). Liquid crystal display (LCD). International Journal of Computer Science and Technology, 3(3), 207-210

Fauzi, A. (2020). Penggunaan Sensor TCS3200 untuk Pengukuran Intensitas Cahaya Berbasis Arduino. Yogyakarta: Penerbit Andi.

Hussain, I., Mazhar, A. A., & Saba, T. (2021). Designing an IoT-based smart home automation system using Blynk. In 2021 International Conference on Electronics, Information, and Communication (ICEIC) (pp. 1-5). IEEE.

Hwang, K. (2021). Power supply. Wiley Encyclopedia of Electrical and Electronics Engineering.

Kementerian Kelautan dan Perikanan (KKP). (2022). Angka Konsumsi Ikan (AKI) Menurut Provinsi di Indonesia (2022). https://dataindonesia.id/sektor-riil/industri-perdagangan/maluku-catat-angka-konsumsi-ikan-tertinggi-di-ri-pada-2022

Kusumawardani, D. (2021). Deteksi Formaldehida Menggunakan Sensor MQ-135. Yogyakarta: Penerbit Andi.

Mutmainnah, Asry, A. I., & Wahyudin. (2022). Rancang Bangun Alat Pendeteksi Kesegaran dan Kandungan Formalin Pada Ikan Berbasis Arduino. Teknik Elektro, 1-5.

Novianti, N. (2021). Potensi Bisnis Budidaya Ikan Bandeng di Indonesia. Jurnal Agribisnis Terpadu, 2(1), 23-32.

Nugraha, A. S., Handayani, T., & Rizal, Y. (2021). Karakteristik Ikan Salmon dan Potensinya sebagai Bahan Pangan Fungsional. Jurnal Ilmu dan Teknologi Pangan, 8(1), 49-58.

Nugroho, B. (2019). Budidaya Ikan Bandeng. Yogyakarta: Gama Media.

Nurhadi, M. (2023). Kronologi Jokowi Hampir Santap Makanan Formalin di Manggarai Barat. jakarta: suara.com.

Prakoso, A. (2021, april 12). rimbakita. Retrieved from rimbakita.com: https://rimbakita.com/ikan-tongkol/

Prakoso, U. Y., & Pratama, A. (2018). Fish Freshness Meter Research. Jurnal FTIK, 1-31.

Pratmanto, D., Khasanah, E. N., & Rousyati. (2021). Alat Pendeteksi Formalin Pada Ikan Segar Menggunakan Sensor HCHO Berbasis Arduino. Computer and Network Technology, 1-6.

Purnomo, G. (2020, april 11). MELEK PERIKANAN. Retrieved from https://www.melekperikanan.com: https://www.melekperikanan.com/2020/04/mengenal-ikan-bandeng.html

Rahman, M.S., & Rahim, A. (2023). Pengantar Sensor Berbasis ESP8266 untuk Aplikasi IoT. Jurnal Sistem Informasi, 11(1), 50-58.

Sugiyono. (2016). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: CV. Alfabeta.

Sulistyaningsih, D., Nurhadi, B., & Agustini, T. W. (2021). Pengaruh Metode Pengeringan terhadap Kualitas dan Kesegaran Kerupuk Kulit Ayam. Jurnal Ilmu dan Teknologi Pangan, 8(2), 20-30.

Published

2024-05-17

How to Cite

Risky Pratama. (2024). Rancang Bangun Alat Pendeteksi Kesegaran Ikan Berbasis Internet Of Things (IoT). Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro Dan Informatika, 2(3), 117–131. https://doi.org/10.61132/jupiter.v2i3.308

Similar Articles

1 2 > >> 

You may also start an advanced similarity search for this article.