Glucose level detection system in glucose solution using TCS3200 sensor with If-Else method


Kemal Thoriq Al-Azis(1); Alfian Ma'arif(2*); Sunardi Sunardi(3); Fatma Nuraisyah(4); Apik Rusdiarna Indrapraja(5);

(1) Universitas Ahmad Dahlan
(2) Universitas Ahmad Dahlan
(3) Universitas Ahmad Dahlan
(4) Universitas Ahmad Dahlan
(5) Universitas Ahmad Dahlan
(*) Corresponding Author

  

Abstract


Early and routine examination of glucose levels plays an important role in preventing and controlling diabetes mellitus and maintaining the quality of life. Checking blood sugar levels by hurting the body (invasive) can lead to infections caused by needles. As an alternative, the examination is carried out in a non-invasive way using excretory fluid in the form of urine, which is reacted with Benedict's solution that create a color change. Experts in the laboratory only carry out an examination using non-invasive methods because in determining glucose levels, it requires accuracy and eye health factors. Therefore, a glucose level detection system was created using a sample of glucose solution to determine the system's parameters using the if-else method. The glucose level detection system is conducted by mixing the glucose solution with Benedict's solution to produce a color change. Then the reaction results are read by the TCS3200 sensor and processed by Arduino to be classified, according to predetermined parameters. The decision results based on the classification of the glucose level parameters that have been determined are displayed on a 16x2 LCD. The results achieved in this study on 10 samples of glucose solution that were tested and processed by the if-else method were successfully read and classified based on predetermined parameters.

Keywords


Non-Invasive; Glucose Solution; TCS3200 Sensor; If-Else; Arduino

  
  

Full Text:

PDF
  

Article Metrics

Abstract view: 1159 times
PDF view: 414 times 		     

Digital Object Identifier

doi  https://doi.org/10.33096/ilkom.v13i2.733.110-116 		  

Cite

How to cite item

References


N. Fridayanti and M. Muldarisnur, Rancang Bangun Alat Ukur Kadar Gula Darah pada Urin dengan Metode Evanescent, Positron, vol. 8, no. 2, pp. 16, 2018.

K. Yuliani, S. Sukri, and S. Yusuf, Check Up Diabetic Foot , Deteksi Dini Risiko Luka Kaki Diabetes Pada Pasien Diabetes Mellitus di Makassar : Uji Sensitifitas dan Spesifisitas, Hasanuddin Student Journal, vol. 1, no. 1, pp. 6265, 2017.

D. E. Puspaningtyas and N. D. Putriningtyas, Deteksi Masalah Kesehatan bagi Lanjut Usia Kelurahan Pakuncen Kecamatan Wirobrajan, Ilmu Gizi Indonesia, vol. 01, no. 01, pp. 6267, 2017.

H. Suyono and Hambali, Perancangan Alat Pengukur Kadar Gula dalam Darah Menggunakan Teknik Non-Invasive Berbasis Mikrokontroler Arduino Uno, JTEV (Jurnal Teknik Elektro dan Vokasional), vol. 06, no. 01, pp. 6976, 2019.

M. I. Febryansah, A. Yudhana, and A. Maarif, Urinoir Analyzer Pintar Pendeteksi Kelainan Pada Fungsi Ginjal Dengan Analisis Kadar Ph Dan Warna Pada Urin, Mobile and Forensics, vol. 2, no. 1, pp. 3644, May 2020.

M. Sulehu and A. H. Senrimang, Program Aplikasi Alat Pengukur Kadar Glukosa Dalam Darah Non Invasive Bebasis Desktop, Jurnal Teknologi Informasi dan Komunikasi, vol. 8, no. 1, pp. 1624, 2018.

E. Satria and Wildian, Rancang Bangun Alat Ukur Kadar Gula Darah Non-Invasive Berbasis Mikrokontroler AT89s51 Dengan Mengukur Tingkat Kekeruhan Spesimen Urine Menggunakan Sensor Fotodioda, Jurnal Fisika Unand, vol. 2, no. 1, pp. 4047, 2013.

F. Sufia, Z. Fikri, and Iswari, Pengaruh Kadar Glukosa Urine Metode Benedict , Fehling Dan Stick Setelah Ditambahkan Vitamin C Dosis Tinggi / 1000 mg, Jurnal Analisis Medika Bio Sains, vol. 5, no. 2, pp. 26, 2018.

L. Ahada and J. Subur, Alat Ukur Kadar Gula Darah Non- Invasive Dalam Urin Menggunakan TCS3200 Metode Artificial Neural Network, in Seminar Nasional Fortei 7-2, 2019, pp. 6972.

L. Listyalina, D. Arief Dharmawan, and E. Lusiana Utari, Identifying Glucose Levels in Human Urine via Red Green Blue Color Compositions Analysis, Journal of Electrical Tecnology UMY (JET-UMY), vol. 4, no. 1, pp. 17, 2020.

L. Lamidi, R. Maulana, and W. Kurniawan, Sistem Pendeteksi Penyakit Diabetes Melitus dan Tingkat Dehidrasi Berdasarkan Kondisi Urin Dengan Metode Jaringan Saraf Tiruan Berbasis Aplikasi Android | Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 3, no. 2, 2019.

R. Zata Amani, R. Maulana, and D. Syauqy, Sistem Pendeteksi Dehidrasi Berdasarkan Warna dan Kadar Amonia pada Urin Berbasis Sensor TCS3200 Dan MQ135 dengan Metode Naive Bayes | Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 1, no. 5, 2017.

A. I. Bardani and N. S. Widodo, Deteksi Zona pada KRSTI dengan Sensor Warna TCS3200, Buletin Ilmiah Sarjana Teknik Elektro, vol. 1, no. 2, pp. 5663, 2019.

A. Juliano, A. H. Hendrawan, and R. Ritzkal, Information System Prototyping of Strawberry Maturity Stages using Arduino Uno and TCS3200, Journal of Robotics and Control (JRC), vol. 1, no. 3, pp. 8691, 2020.

M. Alvin Ridho, M. Surya Sulila, A. Hanafi, P. Rousan Nabila, and R. Luthfiani Safitri, Prototype Alat Pengukur Rendemen Gula Menggunakan Sensor Ping dan Sensor Warna TCS3200, TRANSMISI, vol. 18, no. 2, pp. 70-7474, Aug. 2016.

R. I. Alfian, A. Maarif, and S. Sunardi, Noise Reduction in the Accelerometer and Gyroscope Sensor with the Kalman Filter Algorithm, Journal of Robotics and Control (JRC), vol. 2, no. 3, pp. 180189, 2021.

A. Maarif, I. Iswanto, A. A. Nuryono, and R. I. Alfian, Kalman Filter for Noise Reducer on Sensor Readings, Signal and Image Processing Letters, vol. 1, no. 2, pp. 1122, Jul. 2019.

M. F. D. Prayogo and W. S. Aji, Design and Build Reminder for Arduino Based Drug Schedule Consumption System Rancang Bangun Sistem Pengingat Jadwal Konsumsi Obat Berbasis Arduino, Buletin Ilmiah Sarjana Teknik Elektro, vol. 2, no. 2, pp. 7582, 2020.

M. I. Sari, R. Handayani, S. Siregar, and B. Isnu, Pemilah Benda Berdasarkan Warna Menggunakan Sensor Warna TCS3200, TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol, vol. 4, no. 2, pp. 8590, Nov. 2018.

E. Hesti and P. Studi Teknik Elektro Politeknik Negeri Sriwijaya, Sistem Kendali Pengelompokan Buah Kopi Menggunakan Sensor TCS3200, Jurnal Teknik Informatika Politeknik Sekayu (TIPS), vol. VII, no. 2, pp. 7176, 2017.


Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Kemal Thoriq Al-Azis, Alfian Maarif, Sunardi Sunardi, Fatma Nuraisyah, Apik Rusdiarna Indrapraja

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.