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All Journal Inspiration: Jurnal Teknologi Informasi dan Komunikasi Journal of Embedded Systems, Security and Intelligent Systems
Nurhikmayana Janna
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Computer Science & IT

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Expert System For Major Selection Determination At Universitas Muhammadiyah Sinjai Nurhikmayana Janna; Ingrid Nurtanio; Imran Taufiq
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v13i1.41

Abstract

The choice of major is very important to support the success of students in completing their studies well and on time. However, this is an important issue because, based on research by the Indonesia Career Center Network (ICCN) in 2017, 87 % of Indonesian students admit that the majors they chose do not suit their interests. And 71.7 % of workers have a profession that is not in accordance with their education. The obstacle faced by prospective students when choosing a major is that they do not know their interests, talents, and potential. Therefore, a system was created that could provide suggestions for majors that match the interests of prospective students. An expert system with the forward chaining method is used in the system. The method used in making this expert system application is the forward chaining method. This expert system process accepts the choices that are already available and have been filled in by the user. And the results of this expert system provide a solution for selecting majors based on the interests of prospective students. So that prospective students can determine the right major. From the results of the implementation and trials that have been carried out by researchers, a probability value is obtained that reaches 100 %, indicating that the system is functioning properly, and as many as 94 % of respondents stated that they strongly agree that the use of this application can help make it easier to determine majors at Universitas Muhammadiyah Sinjai.
Comparison of Efficiency 3D Rendering Methods for Augmented Reality: A Case Study of SRP, URP, and Light Estimation on a Mobile Device Indasari, Sri Suci; Achmad Zulfajri Syaharuddin; Nurhikmayana Janna; Irmawati
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i2.8400

Abstract

This study examines the efficiency of 3D rendering methods in the development of Augmented Reality (AR) applications, which significantly impact visual quality, response speed, and device resource consumption. The main objective of this research is to analyze and compare three commonly used rendering methods in AR development: Standard Render Pipeline (SRP), Universal Render Pipeline (URP), and Light Estimation. Data collection was conducted through the implementation of an AR prototype application featuring two 3D objects (Earth and Mars), followed by testing the render latency for each method. The results showed that all three methods produced the same latency time of 0.03 seconds on a high-specification device. These findings suggest that, under the given testing conditions, the choice of rendering method has no significant impact on rendering latency. However, overall efficiency may still be influenced by other factors such as lighting conditions, hardware specifications, and marker quality.
Co-Authors Achmad Zulfajri Syaharuddin Imran Taufiq Indasari, Sri Suci Ingrid Nurtanio Irmawati