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All Journal Jurnal Teknologi Journal of Community Services: Sustainability and Empowerment Jurnal Teknologi
Noorfi Azizah Rahim
Sampoerna University
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Journal : Jurnal Teknologi

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Artificial Intelligence Tools in Higher Education Students Usage Analysis – Case Study: Sampoerna University Rahim, Noorfi Azizah; Hanum, Az Zahra Azizah; Bhakti, Muhammad Agni Catur; Wandy, Wandy
Jurnal Teknologi Vol 16 No 2 (2023): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v16i2.4544

Abstract

The potential application of AI in education has become an area captivating the younger generation. Among higher education students, AI tools support academic activities by providing students with personalized learning experiences that digitize each student's needs and abilities. This research aims to determine the adoption of AI tools in academic areas, specifically at Sampoerna University. This research contributes to the socialization of the use of AI tools to support academics in a good and correct way. This research used a combination of quantitative and qualitative surveys as primary data. Results show that using AI tools has become common among Sampoerna University students and has gained importance in supporting their academic needs. 50% of respondents used the AI tools in less than six months, and the most used AI tool was for grammar checking. Tablet device was the least used by the students to use the AI tools, with only 6.09%.
Battle Royale Console Game Performance Analysis (Case Study: East Jakarta, Indonesia) Azizah Rahim, Noorfi; Totong, Allister; Ikhsan Effendy, Muhammad; Djajasoepena, Rafie; Maindratama, Abdullah; Eryanto, Ery; Wandy, Wandy
Jurnal Teknologi Vol 17 No 1 (2024): Jurnal Teknologi
Publisher : Jurnal Teknologi, Fakultas Teknik, Universitas AKPRIND Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/jurtek.v17i1.4695

Abstract

Battle Royale (BR) genre games are still played and have massive players around the globe. They are characterized by survival and exploration elements, featuring last-man-standing gameplay that motivates players to be the final contestant in the game. This BR can now be played on single platforms and cross-platform. Apex Legends is a free-to-play hero shooter where competitors from across the frontier join forces to battle for glory, fame, and fortune. Apex Legends can be played on PlayStation, Xbox, Steam, and Switch. This research aims to understand the data captured by the game Apex Legends, played on the PlayStation 5 console and displayed on a 4K television. This data was then analyzed to measure the correlation with game performance during gameplay. This research used a quantitative method, primary data, and descriptive measurements. From the findings, it can be concluded that the FPS for this game performed well since it was still near 60 FPS (59.81) with a standard deviation of 1.07. IO could not be analyzed for network performance since no official parameters for this IO were found on the official web during the research. However, Packet Loss and Choke performed well, with an average of 0 and a standard deviation of around 0. The ping value is enormous, with a significant standard deviation gap; this can happen because the server distance is longer to Tokyo from Jakarta than Singapore. Even though the latency was high, gamers still found the matches enjoyable.   
Co-Authors AA Sudharmawan, AA Alfarisy, Edon Salman Ariana Tulus Purnomo Budiman, Muhammad Fathar Hamada Eryanto, Ery Hanum, Az Zahra Azizah Harmasi, Stefan Garnett Ikhsan Effendy, Muhammad Ilham, Oryzea Sativa Iwan Setiawan Lestari, Tika Endah Maharani, Silvina Angelia Dwi Maindratama, Abdullah Muhammad Agni Catur Bhakti Rafie Djajasoepena Totong, Allister Triawan, Farid Unang Solihin Utami, Nanda Putri Wandy Wandy Yuandari, Ni Nyoman Putri Shopia