Development of Non- Invasive Cholesterol Monitoring System Using TCRT5000 Sensor with Android Compatibilty

Tika Rahmawati(1), Alvania Nabila Tasyakuranti(2), Heni Sumarti(3), Hamdan Hadi Kusuma(4),

DOI: https://doi.org/10.15294/jf.v13i2.45044


(1) Universitas Islam Negeri Walisongo Semarang, Indonesia
(2) Universitas Islam Negeri Walisongo Semarang, Indonesia
(3) Universitas Islam Negeri Walisongo Semarang, Indonesia
(4) Universitas Islam Negeri Walisongo Semarang, Indonesia

Abstract

High cholesterol levels cause several diseases, such as atherosclerosis (narrowing of the arteries), coronary heart disease, high blood pressure, obesity, thyroid disorders, diabetes mellitus, liver disease, and kidney disease. Generally, such checking is carried out invasively in clinical laboratories or hospitals. The checking can be done individually at a lower cost by using non invasive cholesterol measuring devices. This study aims to design and implement an android-based non-invasive cholesterol monitoring device using the TCRT5000 sensor. The tool developed was tested to measure cholesterol levels in 15 respondents aged 20-30 years. The research procedure consisted of several stages, starting with the design stage of the tool, which was carried out by assembling the components; the second stage was the tool coefficient of determination test, the third stage was the accuracy test, and the last stage was the data transfer speed test. The average accuracy of the tool is 83.18%, and the avarage of delay is 8.8 ms. This tool has considerable potential to be used in a telemedicine system that can be accessed remotely regularly to determine the estimated value of cholesterol levels in the blood.

Keywords

Android, Cholestrol Monitoring System, Non-Invasive, TCRT5000

Full Text:

PDF

References

Adhani, R. (2018). Pengelolaan Limbah Medis. In Global Shadows: Africa in the Neoliberal World Order (Vol. 44, Issue 2).

Agus Suprayitno, E., Setiawan, A., & Dijaya, R. (2018). Design of Instrumentation in Detecting Blood Sugar Levels with Non-Invasive Technique Base on IoT (Internet of Things). International Journal of Engineering & Technology, 7(4.15), 440. https://doi.org/10.14419/ijet.v7i4.15.25252

Ayu, A. M., Mutalazimah, M., & Herawati, I. (2017). Hubungan Frekuensi Senam Aerobik dan Asupan Kolesterol terhadap Kadar Kolesterol Darah Wanita Usia Subur di Pusat Kebugaran Syariah Agung Fitnes Makamhaji. Jurnal Kesehatan, 10(2), 74. https://doi.org/10.23917/jurkes.v10i2.5536

Dewi, I. G. A. A. Y. (2018). Peran Generasi Milenial Dalam Pengelolaan Sampah Plastik Di Desa Penatih Dangin Puri Kecamatan Denpasar Timur Kota Denpasar. Public Inspiration : Jurnal Administrasi Publik, 3(2), 84–92.

Ekawita, R., Nasution, A. A., Yuliza, E., Suardi, N., & Suwarsono, S. (2020). Development of Non-Invasive Blood Glucose Level Monitoring System using Phone as a Patient Data Storage. Jurnal Penelitian Fisika Dan Aplikasinya (JPFA), 10(2), 103. https://doi.org/10.26740/jpfa.v10n2.p103-113

Endah, D., Santoso, I. H., & Karna, N. B. A. (2021). Perancangan dan Implementasi Smart Garden For Watering Berbasis IoT Menggunakan Telegram dan Blynk Design and Implementation Smart Garden for Watering Based on IoT Using Telegram and Blynk. E-Proceeding of Engineering, 8(5), 1–10.

Martianingtiyas, E. D. (2019). Research and Development (R&D): Inovasi Produk dalam Pembelajaran. Researchgate, August, 1–8. https://www.researchgate.net/publication/335227473

Maryati, H., & Praningsih, S. (2018). Karakteristik Peningkatan Kadar Kolestrol Darah Penderita Hiperkolesterolemia di Dusun Sidomulyo Desa Rejoagung Kecamatan Ploso Kabupaten Jombang. Jn (Scientific Jouurnal Ilmiah Keperawatarnal of Nursing), 4(1), 24–30.

Mulyani, N. S., Al Rahmad, A. H., & Jannah, R. (2018). Faktor resiko kadar kolesterol darah pada pasien rawat jalan penderita jantung koroner di RSUD Meuraxa. AcTion: Aceh Nutrition Journal, 3(2), 132. https://doi.org/10.30867/action.v3i2.113

Mulyanto, A. D. (2020). Pemanfaatan Bot Telegram Untuk Media Informasi Penelitian. Matics, 12(1), 49. https://doi.org/10.18860/mat.v12i1.8847

Ndruru, R. E., Situmorang, M., & Tarigan, G. (2014). Analisa Faktor-faktor yang Mempengaruhi Hasil Produksi Padi di Deli. Saintia Matematika, 2(1), 71–83.

Nurkholis, A., Riyantomo, A., & Tafrikan, M. (2017). Sistem Pakar Penyakit Lambung Menggunakan Metode Forward Chaining. Jurnal Momentum, 13(1), 32–38.

Nurmar’atin, T. (2021). Deteksi Kadar Kolesterol Dalam Darah Secara Non-Invasive Menggunakan Sistem Telemedika Berbasis IOT. In Universitas Islam Negeri Walisongo. https://eprints.walisongo.ac.id/id/eprint/16263/

Nurmar’atin, T., Sumarti, H., & Wulandari, A. (2022). Validasi Alat Ukur Kadar Gula Darah Secara Non- Invasive Menggunakan Sensor Tcrt5000 Untuk. Jurnal Inovasi Dan Pembelajaran Fisika, 9, 51–61.

Oktariadi, N. (2017). Sistem Telemedika Berbasis ICT untuk Pengukuran Kadar Kolesterol Dalam Darah dengan Metode Non Invasive. Jurnal Universitas Mercu Buana, 1–9.

OO, A. (2020). Design, simulation and implementation of an Arduino microcontroller based automatic water level controller with I2C LCD display. International Journal of Advances in Applied Sciences, 9(2), 77. https://doi.org/10.11591/ijaas.v9.i2.pp77-84

Prasetyo, D. R. (2019). Rancang Bangun Telemedicine Pengukur Kadar Kolesterol dalam Darah Berbasis Internet of Things. 1–78.

Pratama, R. P. (2017). Aplikasi Wireless Sensor ESP8266 Untuk Smart Home Automation. Seminar Nasional Teknologi Dan Rekayasa (SENTRA), IV, 1–10.

Price, S. A., & Wilson, L. M. (1995). Patofisiologi :konsep klinis proses-proses penyakit (C. Widjaja (ed.); Edisi 4).

Rahmad, A. A. H. (2018). Pengaruh Pemberian Konseling Gizi terhadap Penurunan Kadar Kolesterol Darah. Jurnal Kesehatan, 9(2), 241–247. http://ejurnal.poltekkestjk.ac.id/index.php/JK

Riskesdas.(2013). Riset Kesehatan Dasar. Science.https://doi.org/10.1126/science.127.3309.1275

Skoog, D. A., Holler, F. J., Crouch, S. R., & West, D. M. (2014). Fundamentals of analytical chemistry (9th ed). Cengage Learning.

Sulehu, M., & Senrimang, A. H. (2018). Program Aplikasi Alat Pengukur Kadar Glukosa Dalam Darah Non Invasive Bebasis Desktop. Inspiration : Jurnal Teknologi Informasi Dan Komunikasi, 8(1), 16–24. https://doi.org/10.35585/inspir.v8i2.2454

Suyono, H. (2020). Perancangan Alat Pengukur Kadar Gula dalam Darah Menggunakan Teknik Non-Invasive Berbasis Mikrokontroler Arduino Uno. 06(01), 69–76.

Zuhriyani. (2019). Analisis Sistem Pengelolaan Limbah Medis Padat Berkelanjutan di Rumah Sakit Umum Raden Mattaher Jambi. Jurnal Pembangunan Berkelanjutan, 1(1), 40–52. https://online-journal.unja.ac.id/JPB/article/view/6436

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License This work is licensed under a Creative Commons Attribution 3.0 License. View My Stats