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Dive into the research topics where Rifki Wijaya is active.

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Featured researches published by Rifki Wijaya.


arXiv: Computers and Society | 2016

Shesop Healthcare: Android application to monitor heart rate variance, display influenza and stress condition using Polar H7.

Andrien Ivander Wijaya; Ary Setijadi Prihatmanto; Rifki Wijaya

Shesop is an integrated system to make human lives more easily and to help people in terms of healthcare. Stress and influenza classification is a part of Shesops application for a healthcare devices such as smartwatch, polar and fitbit. The main objective of this paper is to create a proper application to implement the stress and influenza classification. The application use Android studio, XML and Java. Also, while creating this application, all design and program is considered to be available for future updates. The application needs an android smartphone with Bluetooth Low Energy technology (bluetooth v4.0 or above). SheSop application will accommodate data entry, device picker, data gathering process, result and saving the result. In the end, we could use the polar H7 and this application to get a real-time heart rate, Heart rate variability and diagnose our stress and influenza condition.


arXiv: Computers and Society | 2016

Shesop Healthcare: Stress and influenza classification using support vector machine kernel

Andrien Ivander Wijaya; Ary Setijadi Prihatmanto; Rifki Wijaya

Shesop is an integrated system to make human lives more easily and to help people in terms of healthcare. Stress and influenza classification is a part of Shesops application for a healthcare devices such as smartwatch, polar and fitbit. The main objective of this paper is to classify a new data and inform whether you are stress, depressed, caught by influenza or not. We will use the heart rate data taken for months in Bandung, analyze the data and find the Heart rate variance that constantly related with the stress and flu level. After we found the variable, we will use the variable as an input to the support vector machine learning. We will use the lagrangian and kernel technique to transform 2D data into 3D data so we can use the linear classification in 3D space. In the end, we could use the machine learnings result to classify new data and get the final result immediately: stress or not, influenza or not.


control and system graduate research colloquium | 2012

Data mining development in “Actual Mobile guide for Tourist” application

Rifki Wijaya; Ary Setijadi Prihatmanto; Mochamad Vicky Ghani Aziz

IT and tourism is a new innovative combination, the tourist can get the information of the object they want by only get the picture of the object by using their camera in mobile phone, and then the tourist will get the detail information.


international conference on system engineering and technology | 2015

Design and implementation of natural language processing with syntax and semantic analysis for extract traffic conditions from social media data

Mochamad Vicky Ghani Aziz; Ary Setijadi Prihatmanto; Diotra Henriyan; Rifki Wijaya


international conference on system engineering and technology | 2014

Heart rate data collecting using smart watch

Rifki Wijaya; Ary Setijadi; Tati L. R. Mengko; Richard K. L. Mengko


international conference on system engineering and technology | 2015

Design application to lose weight of overweight person (Steppy Application)

Rifki Wijaya; Ary Setijadi; Tati L. R. Mengko; Mochamad Vicky Ghani Aziz; Ekal Hadiyatma


2013 Joint International Conference on Rural Information & Communication Technology and Electric-Vehicle Technology (rICT & ICeV-T) | 2013

Preliminary design of estimation heart disease by using machine learning ANN within one year

Rifki Wijaya; Ary Setijadi Prihatmanto; Kuspriyanto


2013 Joint International Conference on Rural Information & Communication Technology and Electric-Vehicle Technology (rICT & ICeV-T) | 2013

Design and implementation audio processing in Angstrom beagleboard

Rifki Wijaya; M. Vicky Ghani Aziz; Ary Setijadi Prihatmanto; Wisnu Siswantoko


international conference on system engineering and technology | 2012

Gathering information realtime and anywhere (GIRA) using an ANN algorithm

Aciek Ida Wuryandari; Rifki Wijaya


international conference on system engineering and technology | 2012

OpenSURF performance in windows phone 7

Rifki Wijaya; Aciek Ida Wuryandari; Haritz Cahya Nugraha

Collaboration


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Ary Setijadi Prihatmanto

Bandung Institute of Technology

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Ary Setijadi

Bandung Institute of Technology

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Aciek Ida Wuryandari

Bandung Institute of Technology

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Tati L. R. Mengko

Bandung Institute of Technology

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Diotra Henriyan

Bandung Institute of Technology

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Ekal Hadiyatma

Bandung Institute of Technology

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Haritz Cahya Nugraha

Bandung Institute of Technology

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Kuspriyanto

Bandung Institute of Technology

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M. Vicky Ghani Aziz

Bandung Institute of Technology

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