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Kevin Kevin
Program Studi Informatika
Computer Science & IT

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Aplikasi Tes Kepribadian Online Berbasis Website pada Pusat Konseling dan Pengembangan Pribadi Universitas Kristen Petra Kevin Kevin; Justinus Andjarwirawan; Andreas Handojo
Jurnal Infra Vol 7, No 2 (2019)
Publisher : Jurnal Infra

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Abstract

The need for an introduction to one's own personality is needed, especially to know who you are and can help companies find out who will be recruited as employees. Today, there are several sites that offer to be able to work on personality tests directly. However, the results of the tests that have been done can only be seen for one time only, so the test data that has been obtained cannot be stored for documentation purposes.To help users know their personality correctly and intact, a personality test application is created that can display test results that are in accordance with the user's personality and can save the results. Through this application, users can know who they are and the company can easily get to know the user's personality correctly. Existing tests include Myers-Briggs Type Indicator, Temperament Test, A / B Personality Type Test which has different test results or information. So that users and companies need to choose which tests are suitable for their needs.The test results show that this personality test is able to answer the user's needs for correct and complete personality recognition. In addition, the results of the tests that have been taken and worked on can be saved either by the user or by the company with different formats according to the needs. So that both users and companies can save these results to be documented in various formats according to their needs.
Rendering Karakter 3D Virtual secara Real-Time menggunakan Metode Light Estimation pada Augmented Reality Berbasis Lokasi Kevin Kevin; Liliana Liliana; Kartika Gunadi
Jurnal Infra Vol 9, No 2 (2021)
Publisher : Jurnal Infra

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Abstract

Augmented reality applications are already widely available on mobile devices, but most augmented reality applications assume that light source always comes from above the object and its direction is always downwards so that the shadow is always right under the object, therefore a method is needed to estimate light so that the direction of shadow produced is more realistic, but can still be run on mobile devices.To answer the problem, light estimation method is used in real-time rendering of AR applications on mobile devices so that the shadow direction from virtual objects rendering is parallel and in the same direction as the shadow direction of real objects in their environment, but still uses resources that can be used on mobile devices.Results in this study indicate that the direction of shadow produced by light estimation method in indoor environment is quite accurate (about 33°) and light enough to be used on mobile devices, because the difference in FPS and RAM usage is almost the same as the usage of application without the use of light estimation method, although there is an increase in CPU and battery usage, it's small enough to still work on a mobile device.
Co-Authors Andreas Handojo Justinus Andjarwirawan Kartika Gunadi Liliana Liliana