Analisis dan Desain SiBIOS: Deteksi Dini Kondisi Jantung dan Peningkatan Kualitas Hidup Manusia

Rahmawati Febrifyaning Tias; Muhammad Mahaputra Hidayat

doi:10.33633/tc.v17i3.1814

Analisis dan Desain SiBIOS: Deteksi Dini Kondisi Jantung dan Peningkatan Kualitas Hidup Manusia

Rahmawati Febrifyaning Tias, Muhammad Mahaputra Hidayat

Abstract

One indicator of the quality of human life is the heart condition. So it is very important for every individual to know whether his heart is in good condition or not. One way to use is to analyze heart rate. Through Self Integrated Bio-Informatics System - SiBIOS, each individual will be able to detect early presence or absence of cardiovascular disorders. SiBIOS is a mobile app associated with smartwatch tools to measure heart rate. In order for SiBIOS to be properly and purposefully developed, the analysis and design stages are one of the most important stages in the development of SiBIOS. Through this stage we get a picture of SiBIOS that will be developed. In addition to providing primary outcomes in the form of early detection of heart conditions, SiBIOS also provides additional outcomes in the form of calorie burning charts, activity chart and individual sleep quality chart. SiBIOS also provides recommendations of activities that can be done by individuals to keep their heart condition in order to remain prime

Keywords

heart rate; SiBIOS; quality of human life

Full Text:

PDF

References

Mehemed, Khaled Khalifa K, 2014, Relationship Between Physical Activity, Fitness Level, Body Composition, and Coronary Heart Disease Risk Factors in Malaysians and Arab Adolescent Student, Universiti Putra Malaysia, Malaysia.

Delima, Laurentia Mihardja, Hadi Siswoyo, 2009, Prevalensi dan Faktor Determinan Penyakit Jantung Di Indonesia, Buletin Penelitian Kesehatan Vol. 37 No. 3 Tahun 2009 hal. 142-159, Puslitbang Biomedis dan Farmasi, Jakarta.

Media Centre, 2017, Fact Sheet of Cardiovascular Diseases (CVDs) Updated : May 2017, World Health Organization (WHO).

Pradono, Julianty, Dwi Hapsari, Puti Sari, 2009, Kualitas Hidup Penduduk Indonesia Menurut International Classifiaction of Functioning, Disability, and Health (ICF) dan Faktor-faktor yang Mempengaruhinya (Analisis Lanjut Data RISKESDAS 2007), Buletin Penelitian Kesehatan 2009 hal. 1-10, Pusat Penelitian dan Pengembangan Ekologi dan Status Kesehatan, Jakarta.

Magendram, Anusha, 2007, Classification System For Heart Disease Using Bayesian Classifier, Universiti Putra Malaysia, Malaysia.

Krane, D.E., Raymer, M.L. (2003), Fundamental Concepts of Bioinformatics, San Francisco: Benjamin Cummings, ISBN 0-8053-4633-3.

Hartanto, Rudy, Annisa Kartikasari, 2016, Android Based Realtime Static Indoensian Sign Language Recognition System Prototype, Proceeding of International Conference on Information Technology and Electrical Engineering (ICITEE) 2016, Yogyakarta, Indonesia. DOI : 10.1109/ICITEED.2016.7863311

Arnika, Qurniah Ulfasari Putri, 2015, Sistem Pendukung Keputusan Untuk Mendiagnosis Penyakit Psikofisiologis, Universitas Muhammadiyah Surakarta, Solo.

Ignizio, J. P., 2012, Introduction to Expert System the Development and Implementation of rule-base Expert System, McGraw Hill, Singapore.

DOI: https://doi.org/10.33633/tc.v17i3.1814