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Analisis Pendayagunaan Artificial Intelligence dalam Meningkatkan Efisiensi Proses Pembelajaran di Era Digital Kurniawan, Bryan Fortino; Suwiryanti, Ni Luh Gede Pivin; Putri, Ni Kadek Dwi Febriani; Timotious, I Gusti Komang; Bangsawan, I Gusti Putu Hoki; Putra, I Made Dwipa Aditya
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8377

Abstract

Abstrak - Perkembangan teknologi, khususnya Artificial Intelligence (AI), telah membawa dampak signifikan pada berbagai sektor, termasuk pendidikan. Penelitian ini bertujuan untuk menganalisis pendayagunaan AI dalam meningkatkan efisiensi proses pembelajaran di ITB STIKOM Bali. Metode yang digunakan mencakup survei berbasis kuesioner dan wawancara semi-terstruktur dengan responden mahasiswa dan dosen. Analisis data dilakukan menggunakan Partial Least Squares (PLS) dengan bantuan perangkat lunak SmartPLS untuk mengevaluasi model Technology Acceptance Model (TAM). Hasil penelitian menunjukkan bahwa AI berkontribusi dalam meningkatkan produktivitas, mempermudah pemahaman materi, dan mengurangi waktu yang dihabiskan dalam kegiatan belajar mengajar. Kesimpulannya, AI dapat menjadi solusi potensial untuk meningkatkan efisiensi pembelajaran di era digital.Kata Kunci: Artificial Intelligence, Efisiensi Pembelajaran, Technology Acceptance Model, SmartPLS, ITB STIKOM BaliAbstract - The advancement of technology, particularly Artificial Intelligence (AI), has significantly impacted various sectors, including education. This study aims to analyze the utilization of AI to enhance the efficiency of the learning process at ITB STIKOM Bali. Methods employed include questionnaire-based surveys and semi-structured interviews with students and lecturers as respondents. Data analysis was performed using Partial Least Squares (PLS) with the assistance of the SmartPLS software to evaluate the Technology Acceptance Model (TAM). The results indicate that AI contributes to increased productivity, ease of understanding materials, and reduced time spent on teaching and learning activities. In conclusion, AI serves as a potential solution to improve learning efficiency in the digital era.Keywords: Artificial Intelligence, Learning Efficiency, Technology Acceptance Model, SmartPLS, ITB STIKOM Bali
A Human-Centered Design Approach in Developing the “Jejak Cilik” Parenting App Prototype Maricar, M. Azman; Fauziawan, Affan Irfan; Medhiatika, Ni Luh Made Vinaya; Juliantari, Ni Luh Putu Shinta; Putra, I Made Dwipa Aditya; Karang, Komang Lazuardi Edo
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.5205

Abstract

Developmental disorders in early childhood are a critical issue requiring serious attention. The role of parents in stimulating and monitoring child development is crucial; however, challenges remain, such as limited understanding and access to relevant information. To address this problem, this study developed a parenting app prototype called Jejak Cilik using a Human-Centered Design (HCD) approach. The development process followed four key phases: Discover, Define, Design, and Prototype & Test. The prototype was evaluated using heuristic evaluation with severity ratings to identify interface and user experience (UI/UX) issues. In addition, completion and duration metrics were assessed to evaluate the success rate and time required to complete assigned tasks. The heuristic evaluation, involving three evaluators, revealed three aspects that required immediate improvement and four aspects categorized as low-priority issues. Meanwhile, the completion and duration metrics, tested by 20 participants, showed promising results: all tasks were successfully completed by all users, with an average task completion time of less than one minute. However, during implementation, several issues were encountered that hindered task execution. Based on the findings from both evaluations, the prototype requires further refinement to enhance overall user experience.