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Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Monitoring Walking Devices For Calorie Balance In Patients With Medical Rehabilitation Needs Wahyu Andhyka Kusuma, WAK; Zamah Sari; Diah Ayu Fitriani; Siti Norhabibah; Sabrina Nurul Ubay; Hardianto Wibowo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (418.931 KB) | DOI: 10.11591/eecsi.v5.1613

Abstract

This article presents a measurement system intended to monitor human footsteps. The goal is to guide the users medical rehabilitation incorrect use to prevent dangerous situations and maximize comfort. Indicators of risk in question: the imbalance of movement in motor coordination and the number of calories to be burned for medical rehabilitation patients by balancing the patient's needs. Measurements are made by placing the sensor on one of the patient's legs. The main sensor accelerometer used in this study. The measurement system comes with an application link that allows patients and therapists to monitor the activity. Calibration and experimental results are presented in this article.
Correlation Between Bruto Domestic Products (Gdp) With Duty Schools Hardianto Wibowo; Daroe Iswatiningsih; Wildan Suharso; Fachrunnisa Firdausi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (268.421 KB) | DOI: 10.11591/eecsi.v5.1718

Abstract

This study aims to analyze the linkage of dropout rates with Gross Domestic Product (GDP). The data source of this research is the Central Bureau of Statistics (BPS), with data acquisition of GDP and drop out rate of elementary, junior and senior high school year 2008 until 2011. Data obtained through quantitative approach with secondary data source. The connectedness value between school dropout and GDP at primary level was 0.7294 in 2008, 0.7225 in the year of 2009, 0.4393 in 2010 and 0.3878 in 2011. While the relationship between the number of dropouts and GDP of junior high school level is 0.6095 in 2008, 0.6238 in 2009, 0.3605 in 2010 and 0.2467 in 2011. while the relationship between the drop out rate and GDP of the SMA level was 0.6061 in 2008, 0.5965 at in 2009, 0.5321 in 2010 and 0.2606 in 2011.