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Rizqi Putri Nourma Budiarti
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Applied Technology and Computing Science Journal
Published by Universitas Nahdlatul Ulama Surabaya
ISSN : 26214458     EISSN : 26214474     DOI : https://doi.org/10.33086/atcsj
Core Subject : Social, Engineering,
Engineering Social Sciences
Applied Technology and Computing Science Journal ( ISSN 2621-4458, E-ISSN 2621-4474) is a journal on all aspect of applied technology natural science that published online by Faculty of Engineering – University of Nahdlatul Ulama Surabaya. This journal published periodically twice in a year (on June and December) to accommodate the researcher from all over the world who want to publish the results of their research and contribution with all variety topics related to Engineering, Applied Computer Modelling and Simulation, Information System, Computer Science, Forecasting, Computer Applications, Expert System, E-Government, E-Business, E-Commerce, Information Security, Big Data, Intelligent System, Data Analysis, Data Mining, Smart City.
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Articles 12 Documents
 1   2 
Search results for , issue "Vol 2 No 1 (2019): June" : 12 Documents clear
Ball Direction Prediction for Wheeled Soccer Robot Goalkeeper Using Trigonometry Technique Danis Bagus Setiawan; Agus Khumaidi; Projek Priyonggo; Mohammad Basuki Rahmat; Imam Sutrisno; Khoirun Nasikhin; Adi Wisnu Sahputera
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 2 No 1 (2019): June
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v2i1.1204

Abstract

In this research Trigonometry Technique was implemented to predict the ball movement direction for Wheeled Soccer Robot Goalkeeper. The performance of goalkeeper robot in Wheeled Soccer Robot Contest is very important. The crucial problem with goalkeeper robot is the delay in ball detection by the camera because the results of the camera images captured are always slower than the pictures that have been captured. This causes the robot's response to blocking the opponent's kick ball being late. Trigonometry Technique is one technique that can be used to predict the direction of the ball movement based on trigonometry mathematical formulas. The input data used is the location of the last ball position (x–last ball and y-last ball) and the location of the current ball position (x-current ball and y-current ball). The outputs are the prediction of the next ball location (x-predict ball and y-predict ball) and the prediction of ball movement direction prediction. The results are the goalkeeper's robot successfully predicts the opponent's kick direction with 90% accuracy and can predict the location of the next ball very well. By implementing this method, it is expected to optimize the performance of the goalkeeper robot in saving the goal.
Pengembangan Aset Tiga Dimensi Berbasis Photo-Realism untuk VR-Patient Room (Studi Kasus Rawat Inap RSI Jemursari) Rizqi Putri Nourma Budiarti; Fajar Annas Susanto
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 2 No 1 (2019): June
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v2i1.1300

Abstract

The development of information in a hospital is very fast-growing, where the hospital wants to provide services in the form of information about the hospital using Virtual Reality technology. Likewise with Jemursari Islamic Hospital, which is developing the VR-Patient Room application. For the development of VR-Patient Rooms, several assets are needed in the form of devices or equipment located in the hospital. In this study, assets were developed using the photo-realism method. Assets are built by following the criteria of photo-realism, following the scale of size and using 3D applications. Assets built include patient beds, furniture (tables, guest sofas, wall clocks), trash bins, and patient desks to the toilet and shower. After all assets are built, an experiment is conducted using survey methods to measure the realistic level of assets. From these experiments obtained a realistic level of the assets made have an average value above 3.7 from a scale of 5, which means that the 3D assets made are approaching objects with photo-realism characteristics.

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