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All Journal JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Tjatur Kandaga Gautama
Unknown Affiliation
Computer Science & IT

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Sistem Pakar Deteksi Kerusakan Sepeda Motor dengan Metode Forward Chaining Douglas Alfrido; Tjatur Kandaga Gautama
Jurnal Teknik Informatika dan Sistem Informasi Vol 3 No 3 (2017): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v3i3.701

Abstract

Abstract — Automatic motorcycle has gain a lot of popularity in recent years. Motorcycle users usually didn’t understand technical issues about their vehicle. The purpose of this research is to build a website that could help motorcycle users to detect damage on their motorcycle. The website employs expert system with forward chaining method. Current knowledge base focused on automatic motorcycle machine failure, but can be expanded or changed to another more broad domain context. Users can get insight of what caused the damage and how to fix it.   
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.
Co-Authors Andreas Widjaja Douglas Alfrido Sendy Ferdian Sujadi Steven Rumanto Harnandy