UNAIR NEWS – Universitas Airlangga students have successfully developed accessible web app, especially for adolescent, to find out if they have symptoms of diabetes militus (DM) early on or not. After accessing this web application, everyone, especially adolescents, can predict their blood sugar level (mg / dL) and blood pressure (mmHg) by filling in data on age, height (cm) and weight (kg) which will be instantly converted into their body mass index.
It was conducted by students of the Faculty of Science and Technology (FST) UNAIR after knowing WHO (World Health Organization) prediction about the increasing number of Diabetes Mellitus (DM) patients in Indonesia in 2030. As the fourth country with the most DM patients in the world, in 2030 it was predicted that there will be 21,257,000 people, it will go up until 157% since 2000 which was only 8,426,000.
More disturbing data, from 2002 to 2005 there were about 3,600 new cases of type 2 DM in adolescents. In fact, DM is more difficult to treat during adolescence than during adulthood.
Determined to help controlling the number of DM patients as early as possible, five students of FST from Department of statistics innovated through Student Creativity Program Exacta Research Field (PKM-PE). They offered a model to determine the pattern of relationship between hypertension (a major factor in diabetes) and blood sugar level (an indicator of diabetes) on the body mass index (an indicator of obesity) in patients with juvenile type 2 diabetes mellitus and applying the model into the form of web app that are user-friendly, cross-platform, and open source .
Diabetes mellitus is a chronic disease that occurs when the pancreas (abdominal salivary gland) produces insufficient insulin (DM type-1), or when the body does not use insulin effectively (DM type-2). Ninety percent of the world’s DM cases are DM type 2. DM is usually characterized by high blood sugar level and it occurs along with hypertension. DM and hypertension can not be cured but can be controlled by exercise and diet.
“Modeling with non-parametric regression approach spline truncated birespon showed existing significant correlation between blood sugar level and hypertension with the adolescent body mass index,” said Aisyah Abdullah (Statistics, 2013), the team leader of this PKMPE team.
In this team, there are also four creative students, Dhiva Ryan Hardine (Statistics, 2013), Nonna prilly Pramesty (Statistics, 2013), Dyah Putri Rahmawati (Statistics, 2013), and Muhammad Ikbal (Statistics, 2015).
Proposal PKM-PE titled ” Blood Sugar Level Modeling on Blood Pressure and Body Mass Index of Patients with Diabetes Mellitus Type II During Adolescence Based on Nonparametric Birespon Regression approach with Spline Estimator” have passed the selection of Dikti and got research funding from Kemenristekdikti in the 2016 -2017 PKM program.
The result of the modeling is applied in the form of web -based applications. By accessing the web, everyone, especially adolescents, can predict their blood sugar level (mg / dL) and blood pressure (mmHg) by filling in data on age, height (cm) and weight (kg) which will be instantly converted into their body mass index.
“We chose a web -based application because it is cross-platform , meaning it is not fixed to certain operating systems such as windows or android. So no need to bother downloading the application, and all platforms can access it, ” said Dhiva Ryan Hardine.
Furthermore, the web app is also open-source, meaning it can be accessed freely and openly for anyone who wants to develop, it is also user-friendly, very simple and easy to use for users.
“We hope this analysis can be used to minimize the number of patients with adolescent diabetes mellitus type 2, and applications that we have made can be a reference for adolescents who are diagnosed with type 2 DM to predict the levels of blood sugar and blood pressure,” added Muhammad Ikbal. (*)
Editor: Bambang Bes
