Making Prototypes for Freshness of Patin Fish Based on TCS 230 Sensor

  • Catur Pramono Adi Politeknik Kelautan dan Perikanan Karawang
  • Tina Fransiskha C.P. Politeknik Kelautan dan Perikanan Karawang
  • Pola Panjaitan Politeknik Kelautan dan Perikanan Karawang
  • Yuda Herdiansyah Balai Layanan Usaha Produksi Perikanan Budidaya Karawang
Keywords: Freshness of Fish, Catfish, Meat Colour, TCS 230 Sensor

Abstract

The prototype to determine the freshness of catfish is a test tool to determine the level of freshness of catfish based on the color level of the meat in the form of R, G, B (Red, Green, and Blue) values. Making the prototype requires an Arduino Atmega 2560 which functions as the brain of all components, the TCS 230 sensor which functions to detect colors based on red, green, and blue values, then a 20×4 LCD which functions as a display of detection results. The cube-shaped chassis is made of lightweight iron and the board is water-resistant and easy to clean. This prototype has dimensions of length 28 cm, width 25 cm, and height 18 cm. In the way it works, the catfish is inserted into the cube where the TCS 230 sensor is attached which will then detect the color of the meat which is then converted into R, G, B values. The Arduino clarifies the sensor readings which are then forwarded to the LCD as the output of the test results. Based on the results of data confusion matrix testing, this prototype has a data accuracy value of 80%, a positive precision level of 83%, and a negative precision level of  67%. The results of testing the prototype freshness of catfish resulted in a success percentage of 84.4%.

References

Athifa, S. F., & Rachmat, H. H. (2019). Evaluasi Karakteristik Deteksi Warna Rgb Sensor Tcs3200 Berdasarkan Jarak Dan Dimensi Objek. JETri Jurnal Ilmiah Teknik Elektro, 16(2), 105.

Botutihe, F. (2016). Penilaian Mutu Organoleptik dan pH Ikan Roa (Hemirhampus sp.) Sebagai Bahan Baku Ikan Asap. Jurnal Argopolitan, 3(3), 27–31.

Dahlan, B. Bin. (2017). Sistem Kontrol Penerangan Menggunakan Arduino Uno Pada Universitas Ichsan Gorontalo. ILKOM Jurnal Ilmiah, 9(3), 282–289.

Deni, S. (2015). Karakteristik mutu ikan selama penanganan pada kapal KM. Cakalang. Agrikan: Jurnal Agribisnis Perikanan, 8(2), 72-80

Dwi, G., Sandi, K., Syauqy, D., & Maulana, R. (2019). Sistem Pendeteksi Kesegaran Ikan Bandeng Berdasarkan Bau Dan Warna Daging Berbasis Sensor MQ135 Dan TCS3200 Dengan Metode Naive Bayes. 3(10), 10110–10117.

Dwiyanto, S., Iksal, & Nugraha, S. (2018). Alat Pendeteksi Kesegaran Ikan Menggunakan Metode K-Nearest Neighbor Berdasar Warna Mata Berbasis ATMega 328. Jurnal PROSISKO, 5(2), 127–135.

Lokollo, E., & Nelce Mailoa, M. (2020). Teknik penanganan dan cemaran mikroba pada ikan layang segar di pasar tradisional Kota Ambon. Jurnal Pengolahan Hasil Perikanan Indonesia, 23(1), 103–111.

Maulana, I. (2020). Industri 4.0, Inovasi, dan Toleransi Terhadap Kegagalan. https://news.detik.com/kolom/d-4589038/industri-40-inovasi-dan-toleransi-terhadap-kegagalan

Direktorat Jenderal Perikanan Budidaya (2019). Dukung Ekspor Patin, KKP Dorong Industrialisasi Budidaya Patin Berkelanjutan. https://kkp.go.id/djpb/artikel/11662-dukung-ekspor-patin-kkp-dorong- industrialisasi-budidaya-patin-berkelanjutan

Purwanto, I., Afriansyah, M., & Kusrini, K. (2019). Deteksi Tingkat Kesegaran Daging Ayam Menggunakan K-Nearest Neighbor. CCIT Journal, 12(2), 177–185.

Rinaldo, A., Fahmi, K., Sari, L., & Hendro. (2018). Alat Pendeteksi Warna Dengan Menggunakan Sensor TCS230 Berdasarkan Warna Dasar Penyusun RGB. Prosiding Snips 2018, 78–85.

Romadhon, A. S., & Baihaqi, J. R. (2015). Prototipe Alat Pemilah Jeruk Nipis Menggunakan Sensor Warna Tc230. Prototipe Alat Pemilah Jeruk Nipis Menggunakan Sensor Warna TC230, 1(4), 184–190.

Saptaji, H. W. (2015). Mudah belajar Mikrokontroller dengan Arduino. Widya Media.

Wahyu, Y. I., Ariadi, P. S., & Jalal Sayuti. (2019). Penilaian Mutu Secara Organoleptik Ikan Cakalang (Katsuwonus pelamis) di Pelabuhan Perikanan Pantai Pondokdadap Kabupaten Malang. Samakia : Jurnal Ilmu Perikanan, 10(2), 66–72.

Wahyuningtyas, M. P., Setiati, Y., & Riska, N. (2020). Karakteristik Fisik Penambahan Ikan Patin Siam (Pangasius sutchii) Pada Sus Kering. TEKNOBUGA: Jurnal Teknologi Busana Dan Boga, 8(2), 114–120.

Published
2021-06-25
How to Cite
Catur Pramono Adi, Tina Fransiskha C.P., Panjaitan, P., & Yuda Herdiansyah. (2021). Making Prototypes for Freshness of Patin Fish Based on TCS 230 Sensor. Jurnal Airaha, 10(01), 123 - 130. https://doi.org/10.15578/ja.v10i01.242
Section
Articles