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All Journal Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Jurnal Teknik Informatika dan Teknologi Informasi
Arifah Budi Hidayah
Universitas Amikom Purwokerto
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering

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Analisis Penerimaan Teknologi Artificial Intelligence dalam Penyelesaian Tugas Mahasiswa Menggunakan Model Tam: Studi Kasus Mahasiswa di Wilayah Banyumas Wisnu Mu’amar; Andri Firmansyah Caniago; Fadil Tazakka Pribadi; Arifah Budi Hidayah; Ito Setiawan
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 1 (2025): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i1.5203

Abstract

The development of Artificial Intelligence (AI) technology has a significant impact in the world of education, including supporting the completion of student academic tasks. This study aims to analyze the level of acceptance of students in the Banyumas area towards the use of AI technology in academic activities. The research used a quantitative approach with a survey method of 150 students from various universities in Banyumas. The questionnaire instrument was developed based on the Technology Acceptance Model (TAM) framework, which includes three main variables: perceived ease of use, perceived usefulness, and behavioral intention. The analysis was conducted using SPSS through validity, reliability, Pearson correlation, and multiple linear regression tests. The results showed that perceived ease of use and usefulness had a significant effect on students' intention to use AI technology. Students feel that this technology is easily accessible and useful in supporting task completion and material understanding. These findings strengthen the validity of the TAM model in the academic context. This study provides implications for technology developers to improve user experience, as well as for educational institutions to more actively encourage the use of AI technology in learning.
Audit Sistem Informasi Pada Sistem Antrismecone Untuk PPDB Menggunakan Framework IT-IL V3 Iwan Haryatno; Arifah Budi Hidayah; Dede Ari Putragani; Nurul Afifah; Jeffri Prayitno Bangkit Saputra
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 1 (2025): Januari: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i1.684

Abstract

The “AntriSmecone” queuing system was implemented in the PPDB process at SMK Negeri 1 Purwokerto to improve efficiency by up to 70%. However, the system encountered several issues, such as race condition conflicts in queue numbers and code execution errors caused by automatic translation. This study employs the IT-IL V3 framework, focusing on the Service Operation domain to analyze IT service management, particularly in the subdomains of incident management and request fulfillment. The research methodology includes interviews, observations, questionnaire distribution, and literature studies. The analysis results indicate that the system's maturity level is at level 4 (Managed and Measurable), with an average score of 3.74. The system has structured and monitored procedures, allowing deviations to be effectively addressed. Recommendations were formulated to optimize incident management and fulfill user requests. This study contributes to the development of the “AntriSmecone” system to ensure service quality and efficiency in the PPDB process.
Co-Authors Andri Firmansyah Caniago Bangkit, Jeffri Prayitno Dede Ari Putragani Fadil Tazakka Pribadi Ito Setiawan Iwan Haryatno Nurul Afifah Wisnu Mu’amar