Open access Jurnal SINTA 2
Sistem Identifikasi Kesehatan Berdasarkan Detak Jantung, Kadar Oksigen, dan Suhu Tubuh Menggunakan Metode Fuzzy Mamdani
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 10 No. 5 (2023) · pp. 1003–1014
- ISSN
- 2528-6579, 2355-7699
- Published
- 2023-10-30
- Publisher
- Fakultas Ilmu Komputer, Universitas Brawijaya
- Language
- id
Abstract
Kesehatan merupakan faktor penting dalam kehidupan manusia. Oleh karena itu, dalam paper ini kami menawarkan pendekatan efektif dan efisien dalam mendeteksi dini kesehatan. Deteksi dini dapat menghindari berbagai faktor risiko penyakit dan dapat terhindar dari komplikasi, serta menghemat biaya pengobatan. Sebagian besar alat deteksi kesehatan menggunakan metode invasif, sementara sistem kami menggunakan pendekatan contactless. Sensor pulse Oximater MAX30100 dan sensor suhu MLX90614 digunakan untuk mengukur tingkat saturasi oksigen, detak jantung dan suhu tubuh. Kemudian, kedua data sensor tersebut dikirim ke Google Firebase dengan memanfaatkan fitur layanan realtime database sehingga data dapat ditampilkan secara langsung di aplikasi android. Kedua sensor dihubungkan pada mikrokontroler NodeMCU ESP8266, lalu data hasil pengukuran sensor beserta perhitungan fuzzy dikirim ke database Firebase agar dapat ditampilkan pada smartphone. Hasil dari penelitian ini adalah akurasi pembacaan sensor suhu MLX90614 dan pulse oximater MAX30100 dibandingkan alat yang sudah ada didapatkan pengukuran suhu mendapatkan nilai MAPE sebesar 0.964 %, pengukuran saturasi mendapatkan nilai MAPE 0 %, dan pengukuran detak jantung didapatkan MAPE 1.581 %. Dari ketiga pengukuran didapatkan nilai MAPE dibawah 10% sehingga dapat dikategorikan pengukuran akurat dan kinerja metode fuzzy mamdani dalam mengklasifikasikan kondisi kesehatan sangat baik dan akurat. Abstract Health is an important factor in human life. Therefore, in this paper we offer an effective and efficient approach in early detection of health. Early detection can avoid various risk factors for disease and can avoid complications, as well as save on medical costs. Most medical detection systems use invasive methods, while our system uses a contactless approach. The MAX30100 Oximater pulse sensor and MLX90614 temperature sensor are used to measure oxygen saturation level, heart rate and body temperature. Then, the two-sensor data are sent to Google Firebase by utilizing the real-time database service feature so that the data can be displayed directly in the Android application. The two sensors are connected to the NodeMCU ESP8266 microcontroller, then the sensor measurement results data along with the fuzzy calculations are sent to the Firebase database so that they can be displayed on a smartphone. The results of this study are the accuracy of the readings of the MLX90614 temperature sensor and the MAX30100 pulse oximeter compared to existing devices, the temperature measurement gets a MAPE value of 0.964 %, the saturation measurement gets a MAPE value of 0 %, and the heart rate measurement gets a MAPE of 1.581 %. From the three measurements, the MAPE value was below 10% so that it could be categorized as an accurate measurement and the performance of the Mamdani fuzzy method in classifying health conditions was very good and accurate.
Collaboration network of the authors
40 authors · 97 co-authorship links · 4 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- Lambung Mangkurat University
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Dahnial Syauqy | University of Brawijaya | 4 |
| Edita Rosana Widasari | University of Brawijaya | 3 |
| Agung Setia Budi | University of Brawijaya | 3 |
| Mochammad Hannats Hanafi Ichsan | University of Brawijaya | 3 |
| Eko Setiawan | University of Brawijaya | 3 |
| Wijaya Kurniawan | University of Brawijaya | 2 |
| Rizal Maulana | University of Brawijaya | 2 |
| Heru Nurwarsito | University of Brawijaya | 1 |
| Denny Sagita Rusdianto | University of Brawijaya | 1 |
| Muhammad Alkaff | Lambung Mangkurat University | 1 |
| Yuslena Sari | Lambung Mangkurat University | 1 |
| Husnul Khatimi | Lambung Mangkurat University | 1 |
| Puja Darmawan | Lambung Mangkurat University | 1 |
| Lindhu Parang Kusuma | University of Brawijaya | 1 |
| Eko Setiawan | University of Brawijaya | 1 |
| Angga Sukma Bahari | University of Brawijaya | 1 |
| Mahardeka Tri Ananta | University of Brawijaya | 1 |
| Ryzaldi Ananda Fabiana | University of Brawijaya | 1 |
| Syahrul Chilmi | University of Brawijaya | 1 |
| Septiyo Budi Perkasa | University of Brawijaya | 1 |
| Muhammad Fawwaz Dynoeputra Isnandar | University of Brawijaya | 1 |
| Giservin Tifira Zain | University of Brawijaya | 1 |
| Fakhrul Allaam | University of Brawijaya | 1 |
| Rekyan Regasari Mardi Putri | University of Brawijaya | 1 |
| Irfan Muzakky Nurrizqy | University of Brawijaya | 1 |
| Jevandika | University of Brawijaya | 1 |
| Brylliano Maza Putra | University of Brawijaya | 1 |
| Syifa’ Hukma Shabiyya | Affiliation unknown | 1 |
| Agung Setia Budi | Affiliation unknown | 1 |
| Fauzan Ghozi Mubarak | Affiliation unknown | 1 |
| Fauzan Ghozi Mubarak | University of Brawijaya | 1 |
| Fauzan Adzima Tohari | Affiliation unknown | 1 |
| Nur Hazbiy Shaffan | Affiliation unknown | 1 |
| Fauzan Adzima Tohari | Affiliation unknown | 1 |
| Nur Hazbiy Shaffan | Affiliation unknown | 1 |
| Eko Setiawan | University of Brawijaya | 1 |
| Naufal Mohamad Ghifary | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.