Development of Automatic Health Testing Measurement Model for High School Students in West Java

Abstract

The main objective of this research is to develop the accuracy of health test equipment to measure height, weight, and heart rate to support the qualification of graduation standards at competitions. Any competency competitions that include high school students as participants must be fully followed by students who have qualified passing standards following predetermined conditions in which one of the qualifications is a health graduation test. The focus of the object under study was to obtain the validity of the height, weight and heart rate assessment as the assessment data to measure the health graduation standard in a competency competition. The acquisition of these data will be done by an empirical method of quantitative approaches is through comparison techniques, measurement, and calculation technique through field observations. The importance of the three objects of this study was analyzed because it impacts the feasibility of a student to follow the race so it is expected to minimize the of error and cheating. The emergence of these problems cannot be separated from the small standard of accuracy resulting due to how to get data and techniques to operate the system is still manual so often the mistakes and cheats that affect the low quality of the race. Therefore, this study developed a model of automatic health test testers that can be integrated digitally through the touchscreen LCD and smartphone device. The goal is to make it easier for users to operate the system and obtain data access speed with a guaranteed accuracy value of less than 2%. The final result of the test and measurement for 5 students as the object of research showed the average measurement error for height, body weight and heart rate below 2%, so it can give positive contribution and validity of the data that is responsible in determining the graduation of a student candidate competitor of high school student competence. The results of the development of this measuring tool model make it easier for people to know the level of graduation accurately and have an impact on the smaller number of errors during a health test and are able to reduce fraud.