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All Journal Jurnal Pendidikan Terapan Journal of Deep Learning, Computer Vision and Digital Image Processing
Salomo Benny Junian
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Humanities Computer Science & IT Education Social Sciences Other

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Merevolusi E-commerce dengan AI: Studi Penerimaan AI Ecommerce dengan TAM Fajriani Azis; Annafiah, Nur; Della Fadhilatunisa; A.M Yusran Mazidan; Salomo Benny Junian
Jurnal Pendidikan Terapan Vol 2, No 2 May (2024)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v2i2.216

Abstract

Tujuan dari penelitian ini adalah untuk menganalisis model penerimaan teknologi kecerdasan buatan dalam konteks e-commerce oleh mahasiswa Universitas Negeri Makassar. Dengan menggunakan Teknologi Acceptance Model (TAM) sebagai kerangka teoritis, penelitian ini menganalisis model penerimaan teknologi kecerdasan buatan dalam konteks e-commerce oleh mahasiswa Universitas Negeri Makassar. Penelitian ini menggunakan metode kuantitatif dengan desain longitudinal, data dikumpulkan melalui lembar kuesioner atau angket, sebanyak 63 partisipan sebagai responden. Dalam mengolah data, penelitian ini menerapkan analisis deskriptif, termasuk rata-rata, median, modus, jumlah, nilai maksimum, dan nilai minimum. Hasil dari penelitian ini menunjukkan bahwa persepsi positif terhadap kegunaan kecerdasan buatan (AI) dalam e-commerce adalah indikator utama penerimaan teknologi. Temuan ini memberikan landasan untuk pengembangan strategi bisnis yang cerdas dan efisien di era e-commerce yang semakin terhubung, dengan fokus pada meningkatkan persepsi kegunaan dan kemudahan penggunaan AI serta membangun sikap positif terhadap penggunaannya. Ini membantu perusahaan e-commerce memahami dan mengoptimalkan peran positif AI untuk pertumbuhan bisnis yang berkelanjutan.
Pengembangan Aplikasi ToDoList Berbasis Mobile: Pendekatan Spiral Model untuk Mendukung Manajemen Waktu Mahasiswa: Mobile-based ToDoList Application Development: A Spiral Model Approach to Support Student Time Management Indra Alfit; Fauzan G; Salomo Benny Junian; Fauziah Rahmasari; Nurrahmah Agusnaya; Marwan Ramdhany Edy
Journal of Deep Learning, Computer Vision, and Digital Image Processing Volume 3 Issue 1 Maret 2025
Publisher : CV. Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of modern technology has driven the use of the internet in various fields, including education. Students often still use manual methods to record their activities, which are inefficient and prone to loss. Therefore, a to-do list application is needed to help students digitally record their activities. This study aims to develop an effective and efficient mobile-based ToDoList application. The application is expected to help students plan activities, set priorities, and ensure that important tasks are not missed. The development method used is the spiral model, an iterative and incremental approach that involves the stages of planning, analysis, design, implementation, testing, and evaluation in each cycle. This study emphasizes a deep understanding of user needs and the application of good interface design principles. In addition to technical development, the research also focuses on how the application can support time management and the achievement of user goals. Application testing is conducted to ensure that features function according to user expectations. Through this research, valuable insights are expected to be gained regarding the development of an effective ToDoList application that can improve users' quality of life through better time management and more efficient task completion.
Co-Authors A.M Yusran Mazidan Annafiah, Nur Della Fadhilatunisa Fajriani Azis Fauzan G Fauziah Rahmasari Indra Alfit Marwan Ramdhany Edy Nurrahmah Agusnaya