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All Journal Jurnal Kridatama Sains dan Teknologi Insearch: Information System Research Journal
Hardika, Bagus
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education 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.
Pengujian Blackbox Testing Website Garuda Farm Menggunakan Teknik Equivalence Partitioning Hardika, Bagus; Kurniawan, Mahesa Dzikri; Adzka, Muhammad; Prastowiyono, Daffarizqy; Banyubasa, Apik; Wicaksono, Aditya; Nasir, Muhammad
JURNAL KRIDATAMA SAINS DAN TEKNOLOGI Vol 6 No 02 (2024): JURNAL KRIDATAMA SAINS DAN TEKNOLOGI
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v6i02.1420

Abstract

Software Testing is a critical aspect of ensuring the quality and performance of a system before its release. This study examines the Testing of the Garuda Farm website using the Black Box Testing method and the Equivalence Partitioning technique to detect errors within the system. The objective of this research is to identify errors in the blog menu system of the Garuda Farm website, ensuring that existing data is preserved before being utilized by the Admin. The Garuda Farm website is designed as a corporate profile, featuring functionalities such as login, registration, homepage, about page, product services, blog, and contact information. This study focuses on Testing the blog addition feature, which is frequently used to disseminate information through articles. The Equivalence Partitioning technique divides the input domain into data groups, encompassing both valid and invalid inputs, to ensure comprehensive Testing of each feature. The test results indicate that most features function according to specifications, with some exceptions related to input validation, such as blog creation dates and image uploads. Several errors were identified in handling invalid inputs, including the system’s inaccuracies in processing invalid dates and images. With a Testing validity rate of 56.25%, these findings provide recommendations for system improvements to enhance the quality and user experience of the Garuda Farm website. The implications of these findings suggest that improvements in input validation mechanisms, particularly for dates and images, can enhance system reliability and prevent the loss of critical data. Consequently, this would improve user experience and maintain the website’s credibility. Through the optimization of this Testing process, the Garuda Farm website is expected to enhance its credibility and competitive edge in the digital era
Co-Authors Aditya Wicaksono Adzani, Rivanka Marsha Adzka, Muhammad Banyubasa, Apik Fami, Amata Irma Rasita Gloria Barus Kurniawan, Mahesa Dzikri Muhammad Nasir Prastowiyono, Daffarizqy Valencia, Cindy