Formalin detection device in Tofu food with telegram monitoring

Rio Prayogo; Izza  Anshory; Indah  Sulistiyowati; Syamsudduha  syahrorini

doi:10.47709/cnahpc.v5i2.2393

Authors

Rio Prayogo Department of Electrical Engineering, Universitas Muhammadiyah Sidoarjo, East Java, Indonesia
Izza Anshory Department of Electrical Engineering, Universitas Muhammadiyah Sidoarjo, East Java, Indonesia
Indah Sulistiyowati Department of Electrical Engineering, Universitas Muhammadiyah Sidoarjo, East Java, Indonesia
Syamsudduha syahrorini Department of Electrical Engineering, Universitas Muhammadiyah Sidoarjo, East Java, Indonesia

DOI:

https://doi.org/10.47709/cnahpc.v5i2.2393

Keywords:

Tofu; Lcd16x2; Esp32; Hcho; Telegram

Abstract

Tofu is a side dish or food used by many people. As a processed food product made from soybeans, white tofu contains protein and high water content so it is very good for the growth of spoilage microorganisms. As a result, tofu is not durable and easily damaged. Damage to white tofu is characterized by a sour and slimy odor. The usual preservation methods for traders include soaking tofu in formalin to make tofu more resistant to decay, resistant to microorganisms, and maintaining its freshness for up to seven days. Formalin to prevent unwanted things. In food Because of the above problems, there needs to be special treatment against excessive use of formalin in food in Indonesia. Formalin should be limited within International Chemical Safety Programme (IPCS) limits for adult foods containing formaldehyde. And also sensors made of polymeric materials combined with activated carbon to detect formalin in food. The development of technology continues with the development of internet products from things that can communicate with each other through the internet. Then a tool was developed to solve the above problem. As part of the research, a formaldehyde detection device will be made in tofu food with a monitoring telegram. The system uses HCHO sensors and a Node MCUESP 32 microcontroller, which is then transmitted through a database that allows you to view through the LCD screen and the Telegram Android smartphone application, of which of course many applications are installed to facilitate this. Users are able to check formalin plates remotely via an internet network connection.

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Author Biographies

Rio Prayogo, Department of Electrical Engineering, Universitas Muhammadiyah Sidoarjo, East Java, Indonesia

Izza Anshory , Department of Electrical Engineering, Universitas Muhammadiyah Sidoarjo, East Java, Indonesia

Indah Sulistiyowati, Department of Electrical Engineering, Universitas Muhammadiyah Sidoarjo, East Java, Indonesia

Syamsudduha syahrorini, Department of Electrical Engineering, Universitas Muhammadiyah Sidoarjo, East Java, Indonesia

References

Admojo, F. T., & Sulistya, Y. I. (2022). Analisis performa algoritma Stochastic Gradient Descent (SGD) dalam mengklasifikasi tahu berformalin. Indonesian Journal of Data and Science (IJODAS), 3(1).

Ashari, I. F., & Adhelia, V. (2022). Expert System and IoT for Diagnose of Feline Panleukopenia Virus using Certainty Factor. MATRIK?: Jurnal Manajemen, Teknik Informatika Dan Rekayasa Komputer, 21(2), 451–462. https://doi.org/10.30812/matrik.v21i2.1517

Attamimi, H., Syauqy, D., Fitriyah, H. (2022). Sistem Klasifikasi Saus Cabai mengandung Formalin dengan Sensor TCS3200 dan Sensor Groove-HCHO menggunakan Metode K-Nearest Neighbor berbasis Arduino (Vol. 6). Retrieved from http://j-ptiik.ub.ac.id

Baihaqqi, H., & Nuzula, Z. F. (2022). Tinjauan Fiqih Muamalah terhadap Praktik Jual Beli Tahu dan Tempe di Pasar Ciroyom Bandung. Jurnal Riset Ekonomi Syariah, 105–112. https://doi.org/10.29313/jres.v2i2.1363

Yanti, S., & Sulistiyowati, I. (2022). An Inventory Tool for Receiving Practicum Report Based on IoT by Using ESP32-CAM and UV Sterilizer: A Case Study at Muhammadiyah University of Sidoarjo. Journal of Electrical Technology UMY (JET-UMY), 6(1).

Kartini, K., & Suyatmin, S. (2022). Pengembangan Rancangan Pembelajaran Berbasis Aplikasi Tahu Terguri Bagi Guru PAUD. Jurnal Obsesi?: Jurnal Pendidikan Anak Usia Dini, 6(6), 6675–6689. https://doi.org/10.31004/obsesi.v6i6.3400

Pratmanto, D., & Khasanah, E. (2021). ALAT PENDETEKSI FORMALIN PADA IKAN SEGAR MENGGUNAKAN SENSOR HCHO BERBASIS ARDUINO. CONTEN?: Computer and Network Technology, 1(1), 1–6. Retrieved from http://jurnal.bsi.ac.id/index.php/conten

Rahmaningrum, N., Rakhmadi, F. A., & Fajriati, I. (2020). ANALISIS TAHU TERKONTAMINASI FORMALIN MENGGUNAKAN SISTEM SPEKTROSKOPI FLUORESENSI BERBASIS HIGH POWER UV-LED. Sunan Kalijaga Journal of Physics, 2(1), 29–33.

Rengganawati, H., & Taufik, Y. (2020). Analisis Pelaksanaan Digital Marketing pada UMKM Tahu Rohmat di Kuningan. Komversal?: Jurnal Komunikasi Universal, 6.

Baskoro, F., & Susanto, R. (2020). RANCANG BANGUN PENDETEKSI FORMALIN. 26 JEECOM, 2(2).

Satriawan, D., Fitriyah, H., Budi, A. S. (2019). Sistem Klasifikasi Tahu Putih Murni dan Tahu Putih Mengandung Formalin Menggunakan Metode K-Nearest Neighbor (Vol. 3). Retrieved from http://j-ptiik.ub.ac.id

Siboro, S. N., Sitepu, S., Yohanna, M., Jaya, I. K., & Sinambela, M. (2020). Login?: Jurnal Teknologi Komputer Design and Manufacture of Formaline Detection in Food Ingredients Based on Arduino. 14(2), 363–367.

Suherman, S., Mardeni, Irawan, Y., & Sugiati. (2020). RANCANG BANGUN TEMPAT SAMPAH OTOMATIS MENGUNAKAN MIKROKONTROLER DAN SENSOR ULTASONIK DENGAN NOTIFIKASI TELEGRAM. Jurnal Ilmu Komputer, 9(2), 154–160. https://doi.org/10.33060/jik/2020/vol9.iss2.182

Cahyono, A., Suharto, N., & Mustafa, L. D. (2022). Design and Build a Home Security System based on an ESP32 Cam Microcontroller with Telegram Notification. Journal of Telecommunication Network, 12(2).

Zhafran, A., Syauqy, D., Widasari, E. R. (2022). Klasifikasi Frekuensi Penggunaan Minyak Goreng Ikan dan Tahu menggunakan Metode Jaringan Syaraf Tiruan berbasis Arduino (Vol. 6). Retrieved from http://j-ptiik.ub.ac.id