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All Journal Insearch: Information System Research Journal Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Valencia, Cindy
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Social Sciences Other

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Students' Perceptions of the Future of Devin AI: A Case Study at IPB University Hardika, Bagus; Valencia, Cindy; Adzani, Rivanka Marsha; Barus, Irma Rasita Gloria; Fami, Amata
Insearch: Information System Research Journal Vol 4, No 02 (2024): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v4i02.9266

Abstract

Devin AI is an autonomous artificial intelligence assistant referred to as an "AI software developer" and claimed to be capable of building websites and applications, completing complex programming, and training its own AI models. Cognition Labs has released a trailer for Devin AI on YouTube. This research analyzes the responses of Software Engineering Technology students from the Vocational School of IPB University regarding the Devin AI trailer. Responses were collected via Google Forms from students of classes 59, covering familiarity, benefits, and concerns about using Devin AI. The responses varied, with both positive and negative feedback. Devin AI is considered capable of accelerating the software development process and allowing developers to focus on strategic and creative elements. 60% of respondents are not afraid that Devin AI will replace the position of Developer, seeing it as a companion or considering it a scam. Conversely, 40% are concerned that the Developer position will be replaced by Devin AI.
Evaluasi Persepsi Pengguna terhadap Penggunaan Pengenalan Wajah dan GPS untuk Sistem Absensi Sinaga, Jovanca Blesshery; Valencia, Cindy; Lubis, Muhammad Anggi; Yuanda, Raihan; Devyanti, Kharisma Nur; Rudiansah, Cahya; Purnama, Endang; Indara, Gema Parasti
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 6 (2024): Desember : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i6.548

Abstract

One of the roles of current technology is online attendance recording (e-presence) based on facial recognition and GPS, which was previously dominantly done in the traditional way through paper recording. This manual attendance causes a lot of fraud, such as absentee deposits and forged signatures so that they are not effective in recording them. The purpose of this paper is to provide an analysis related to the exploration of user perception of facial recognition and GPS-based attendance. The method used is of a qualitative type, by analyzing and synthesizing findings from relevant previous research. This research was conducted to help understand technology as a solution to student cheating in absenteeism. Face and location presence use facial recognition features in biometric technology that are able to provide high accuracy, and the implementation of GPS aimed at verifying the user's location. The results of qualitative analysis, facial recognition-based attendance and GPS are effective and practical solutions to overcome fraud in attendance recording.
Co-Authors Adzani, Rivanka Marsha Devyanti, Kharisma Nur Fami, Amata Hardika, Bagus Indara, Gema Parasti Irma Rasita Gloria Barus Lubis, Muhammad Anggi Purnama, Endang Rudiansah, Cahya Sinaga, Jovanca Blesshery Yuanda, Raihan