viii DAFTAR PUSTAKA
Aski, M., Prathibha, P. 2016. E-Health Care Smart Networked System. International Journal of Engineering and Techniques. Vol 2, No 3: 16-21. Diambil dari: http://www.ijetjournal.org/ Volume2/Issue3/IJET-V2I3P4.pdf. (26 Januari 2017).
Hiskia, 2007. Perkembangan Teknologi Sensor dan Aplikasinya untuk Diteksi Radiasi Nuklir. Prosiding PPI-PDIPTN 2007 Pustek Akselator dan Proses Bahan BATAN Yogyakarta 10 Juli 2007.
Jassas, M, S., Qasem, A, A., Mahmoud, Q, H. 2015. A Smart System Connecting e-Health Sensors and the Cloud. Proceeding of the IEEE 28th Canadian Conference on Electrical and Computer Engineering: 712-716. Diambil dari: http://www.syslog.co.in/embedded-projects/real-time-projects/. (27 Januari 2017).
Kurniawan, D. (2008). Regresi Linear ( Linear Regresion). Vienna, Austria: R. Development Core Team.
Lubis, H.R 1989. Diagnosa Fisik. Edisi IV. USU Press Medan.
Maia, P. 2014. A Web Platform for Interconnecting Body Sensors and Improving Health Care. Procedia Computer Science. Vol 40: 135–142. Diambil dari: http://www.sciencedirect.com/ science/article/pii/S1877050914014082. (27 Januari 2017).
Novianta, A. M. 2009, Alat Pendeteksi Warna Berdasarkan Warna Dasar Penyusun RGB Dengan Sensor TCS230 Colour Detector Device Based of Basic Composer RGB by TCS230 Censor. Yogyakarta, 14 November 2009 Jurusan Teknik Elektro Fakultas Teknologi Industri Institut Sains & Teknologi AKPRIND.
ix Rakay, R. 2015. Testing Properties of E-health System Based on Arduino. Journal of Automation and Control. Vol 3, No. 3: 122-126. Diambil dari: http://pubs.sciepub.com/automation /3/3/17/. (26 Januari 2017).
Sarwoko, E.A. 2006. Mekanisme Sistem Idetifikasi Biometrik. Prosiding Seminar Nasional SPMIPA 2006. Program Studi Ilmu Komputer Jurusan Matematika FMIPA UNDIP.
Syahputra, 2008. Menentukan Regresi Linier Berganda Untuk Pendapatan Domestik Regional Bruto (PDRB) Di Deli Serdang. Medan: USU Repository.
