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All Journal JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Sendy Ferdian Sujadi
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Computer Science & IT

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Pembangunan Aplikasi Pengelolaan Data pada Rumah Sakit Berbasis Web Sara Amelia Rosadi; Andika Wirawan; Sendy Ferdian Sujadi
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 2 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i2.3696

Abstract

Hospital has a variety of facilities and services. Every day there are transactions recorded by the hospital in the form of documentation such as excel. Over time, if the transactions increase, the files that will be stored will be more and more large. Therefore, a website was created that can make it easier to manage data from these files. The web application is created using PHP and integrates with the MySQL database. The main module of the web application created is to import data from an excel file. The expected results from making this website are to make it easier for employees to manage data and view information in the form of tables or graphs. Data collection methods using observation, through interviews with the person in charge from hospital by giving a questionnaire about the interface of the application. Assessment of the results of interface improvements using a questionnaire from Post-Study System Usability Questionnaire version three, totalling 16 questions. The purpose of the User Interface and User Experience analysis is to assess and serve as a guide for improving the display that has been made whether it is in accordance with the standards requested by the hospital.
High Performance Computing Environment using General Purpose Computations on Graphics Processing Unit Andreas Widjaja; Tjatur Kandaga Gautama; Sendy Ferdian Sujadi; Steven Rumanto Harnandy
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 2 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i2.3715

Abstract

Here a report of a development phase of an environment of high performance computing (HPC) using general purpose computations on the graphics processing unit (GPGPU) is presented. The HPC environment accommodates computational tasks which demand massive parallelisms or multi-threaded computations. For this purpose, GPGPU is utilized because such tasks require many computing cores running in parallel. The development phase consists of several stages, followed by testing its capabilities and performance. For starters, the HPC environment will be served for computational projects of students and members of the Faculty of Information Technology, Universitas Kristen Maranatha. The goal of this paper is to show a design of a HPC which is capable of running complex and multi-threaded computations. The test results of the HPC show that the GPGPU numerical computations have superior performance than the CPU, with the same level of precision.
Komputasi Numerik Berkinerja Tinggi dari Integral Multidimensi Menggunakan Sampel Acak Widjaja, Andreas; Gautama, Tjatur Kandaga; Sujadi, Sendy Ferdian; Wijaya, Bernadus Indra
Jurnal Teknik Informatika dan Sistem Informasi Vol 11 No 3 (2025): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v11i3.12999

Abstract

This study examines the use of high-performance computing to carry out multidimensional integral calculation based on stochastic techniques, particularly in the context of Monte Carlo integration. Considering that traditional methods are facing extreme difficulty especially in high-dimension when encountered with "dimensionality curse", random sampling technique to estimate integral values is used. This technique is superior in many aspects, for example in terms of scalability and flexibility, even in complex and irregular domains. In particular, the work concentrates on the case of calculating the volume of a multi-dimensional sphere using random sampling or Monte Carlo techniques. It also introduces a framework that employs the Graphics Processing Unit (GPU) to carry out these computations more effectively. Using dimensionalities from 2 to 24, the work compares both accuracy and computation time of the method. The results show that the random sampling method attains high accuracy in the computation of π which is used as a benchmark. The computational model is implemented in CUDA C/C++, and it takes advantage of GPU parallelism to process large sample sizes as well as execute calculations efficiently. Here it is shown in general that Monte Carlo integration is a viable approach to high-dimensional problems when combined with very rapid GPU parallelism.
Co-Authors Andika Wirawan Andreas Widjaja Sara Amelia Rosadi Steven Rumanto Harnandy Tjatur Kandaga Gautama Tjatur Kandaga Gautama, Tjatur Kandaga Wijaya, Bernadus Indra