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All Journal Jurnal Pendidikan Vokasi JTEV (Jurnal Teknik Elektro dan Vokasional JOIV : International Journal on Informatics Visualization JURNAL PENDIDIKAN TAMBUSAI Journal of Education Technology Jurnal Abdi Insani JPTE: Jurnal Pendidikan Teknik Elektro JTEIN: Jurnal Teknik Elektro Indonesia Khalifa: Journal of Islamic Education Journal of Hypermedia & Technology-Enhanced Learning Journal of Industrial Automation and Electrical Engineering
Luthfi, Afdal
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Religion Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Smart trolley based on client server and computer vision habiby, Gusvito; Muskhir, Mukhlidi; Mukhaiyar, Riki; Habibullah; Luthfi, Afdal
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

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Abstract

Technological advances have significantly changed many aspects of human life, including shopping activity. The modern retail environment must provide extraordinary customer satisfaction in order to remain competitive. With the Smart Trolley, an automated shopping cart integrated with a payment and pricing system, offers solutions to a shopping challenge that can scan the price of goods. The study explores the development and implementation of Smart Trolley based on client-server architecture and computer vision technology. The Smart Trolley is equipped with a mini PC (Raspberry Pi), a barcode scanner, and an LCD display to display the total cost of goods when they are added to the cart. In addition, it supports non-cash payments and can reduce waiting time at the cashier. Server connections allow real-time monitoring by store staff and prevent fraud. The results of the implementation show that Smart Trolley effectively helps consumers to see the prices of goods, imitate the quarters at the cashier, and improve the security of transactions. This innovative solution aims to simplify the shopping experience, providing a more efficient and comfortable process for consumers in a modern market shopping experience
Determining the kinematics of trolley movement using 4 mechanical wheels Tito, Denis; Muskhir, Mukhlidi; Mukhaiyar, Riki; Habibullah; Luthfi, Afdal
Journal of Industrial Automation and Electrical Engineering Vol. 1 No. 1 (2024): Vol 1 No 1 (2024): June 2024
Publisher : Department of Electrical Engineering Universitas Negeri Padang

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Abstract

4.0 Industrial Revolution brings significant changes across various aspects of life, including the retail sector. The adoption of automation technology in supermarkets can enhance efficiency and consumer convenience. One of the challenges is the use of conventional shopping carts, which require pushing and pulling, often creating difficulties for customers with physical limitations. To address this issue, this study proposes the development of an automated robotic cart using mechanical wheels. Mecanum wheels enable dynamic movement in all directions without the need to change the wheel orientation, making them a more flexible solution compared to traditional differential wheels. The robotic cart is equipped with four 120 mm mecanum wheels and uses DC motors controlled by Pulse Width Modulation (PWM) through an H-bridge circuit and microcontroller. This technology implementation is expected to facilitate smoother cart movement and improve the shopping experience. The study presents the design and kinematic movement of the robot, demonstrating the advantages of using mecanum wheels in enhancing the mobility and flexibility of automated shopping carts
Factors influencing vocational teachers’ e-Learning adoption: A technology acceptance model approach Rahmat, Roni Eka; Hadi, Samsul; Syafmaini, Iis Elfa; Gusti, Utari Akhir; Luthfi, Afdal; Fortuna, Aprilla
Jurnal Pendidikan Vokasi Vol. 15 No. 2 (2025): June
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v15i2.86375

Abstract

The rapid expansion of digital learning environments has encouraged schools to integrate e-learning into teaching practices. However, many vocational teachers still show uneven levels of adoption, indicating that the factors shaping their willingness and actual use of e-learning require deeper investigation. This study examines the determinants of vocational teachers’ e-learning adoption using the Technology Acceptance Model (TAM), focusing on the roles of perceived usefulness (PU), perceived ease of use (PEOU), behavioral intention (BI), and actual use (AU). A quantitative survey was administered to 118 vocational high school teachers, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings reveal that PEOU significantly influences both PU and BI, while PU also exerts a positive effect on BI. Furthermore, BI demonstrates a strong and significant effect on AU, mediating the relationships between PU, PEOU, and AU. Overall, the model explains a substantial proportion of variance in teachers’ behavioral intention and actual use of e-learning. These results confirm the robustness of TAM in vocational education contexts and highlight that teachers are more likely to use e-learning when they perceive it as easy, useful, and aligned with their instructional needs. Practically, the study suggests that vocational schools should strengthen digital literacy training, provide technical support, and design user-friendly platforms to enhance teachers’ confidence and motivation. At the policy level, establishing clear digital competence standards may foster sustainable e-learning adoption across vocational institutions.
Co-Authors Abror Abror Ahmad, Nurafni Fajarna Do Amani, Risca Ernawati Ernawati Fadillah, Rahmat Fajri, Dilham Hidayatul Fortuna, Aprilla Gentarefori Samala, Abelriadne Gusti, Utari Akhir Habib Arrasyidi Desky, Abdul Habibullah habiby, Gusvito Hansi Effendi Irdawati Irdawati Karnando, Joni Langputeh, Sukree Mahdi, Arisul Muhammad Aulia Rahman Mukhaiyar, Riki Muskhir, Mukhlidi Nikolaevna, Goncharova Maria Nizwardi Jalinus Qomari, Vikri Aflaha Rahmat, Roni Eka Samsul Hadi Siddiq, Hafidhilmi Sidiq, Hazmi Sugiarta, Zakhimi Anan Sukardi Sukardi Syafmaini, Iis Elfa Tito, Denis Waskito Waskito, Waskito