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Contact Name
Nizwardi Jalinus
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nizwardi@ft.unp.ac.id
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Program Studi Pendidikan Teknologi dan Kejuruan Pascasarjana Universitas Negeri Padang Jln. Prof. Dr. Hamka Air Tawar Padang Sumatera Barat - 25132
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INDONESIA
Jurnal Pendidikan Teknologi dan Kejuruan
ISSN : 26213273     EISSN : 26211548     DOI : https://doi.org/10.24036/jptk
Aims and scope: Aims Jurnal Pendidikan Teknologi Kejuruan aims to present high-quality and relevant scientific articles in the form of original research results in the field of Technical and Vocational Education and Training. By showcasing the latest teaching techniques, effective instructional methods, and recent advancements in relevant technologies, this journal provides a significant contribution to the enhancement of superior vocational education and engineering development. The journal strives to become a reliable reference source for researchers, academics, and practitioners worldwide. All articles published undergo a rigorous process of selection and peer review, ensuring that the information presented in this journal maintains a high level of credibility. Scope The scope of research in the field of Technical and Vocational Education and Training (TVET) encompasses a wide range of topics related to the education and training provided for various technical and vocational skills. This field involves the study and improvement of educational programs, training methodologies, and strategies that prepare individuals for specific careers and industries. The scope of TVET research includes, but is not limited to, the following areas: Curriculum Development: Research focuses on designing and updating curricula that align with industry needs, technological advancements, and job market demands. Teaching and Learning Methods: Studies explore effective pedagogical approaches, instructional techniques, and innovative technologies that enhance the teaching and learning experience in vocational settings. Technology Media: Leveraging these technology media resources can enhance the vocational education experience by providing diverse learning materials, facilitating collaboration, and keeping learners informed about the latest developments in their chosen field. (Online Courses and Platforms, YouTube Channels and Tutorials, Podcasts, Tech Blogs and Websites, Interactive Learning Platforms, Educational Apps, Virtual Reality (VR) and Augmented Reality (AR), Webinars and Online Events, Social Media Communities, and E-books and Digital Publications) Workforce Development: Research examines strategies to bridge the gap between education and the workforce, ensuring graduates possess the skills and competencies required by industries. Skill Assessment and Certification: Investigations into valid and reliable methods for assessing vocational skills, as well as the development of certification standards that validate individuals' proficiency. Industry-University Collaboration: Studies analyze partnerships between educational institutions and industries to ensure that educational programs remain up-to-date and relevant. Apprenticeships and Internships: Research into structured on-the-job training experiences that allow students to acquire practical skills and experience real work environments. Lifelong Learning and Continuing Education: Exploration of strategies for ongoing skills development and training for individuals to adapt to changing job market requirements. Gender Equality and Inclusivity: Investigations into promoting gender-balanced participation and inclusivity in traditionally male-dominated vocational fields. Technological Advancements: Research on the integration of emerging technologies, such as digital tools and Industry 4.0 concepts, into vocational training programs. Quality Assurance: Studies on mechanisms to ensure the quality of vocational education and training programs, including accreditation and evaluation processes. Policy and Governance: Examination of policies and regulations that shape TVET systems and their effectiveness in promoting skill development and employability. Socio Economic Impact: Research into the influence of TVET on economic growth, social mobility, and addressing unemployment challenges. Engineering (miscellaneous) encompasses a diverse range of topics that contribute to the advancement and application of engineering principles across various disciplines, providing valuable learning opportunities in vocational education. Overall, research in the field of TVET contributes to improving the quality and relevance of vocational education, addressing skills gaps, and fostering the successful transition of individuals into the workforce, thereby promoting economic development and societal well-being.
Arjuna Subject : Umum - Umum
Articles 1 Documents
Search results for , issue "Vol 9 No 1 (2026): Regular Issue" : 1 Documents clear
Implementation of a WhatsApp-based Canteen Menu Chatbot using TF–IDF and cosine similarity: A case study of employees at Matahari Department Store, Sunrise Mall and Mojokerto Saputra, Ramadhani Handika; Sucipto, Hadi
Jurnal Pendidikan Teknologi Kejuruan Vol 9 No 1 (2026): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v9i1.48523

Abstract

This study addresses the limitations of traditional workplace canteen menu information sharing, such as noticeboards and verbal announcements, which can cause delays in shift-based settings. A WhatsApp-based canteen menu chatbot was designed, implemented, and evaluated for Matahari Department Store Sunrise Mall Mojokerto (Indonesia) using Cosine Similarity for text matching. The system integrates WhatsApp messaging via the WhatsApp API with an application server and an admin web panel built on Laravel–MySQL, enabling the management of daily menus, canteen schedules, FAQ patterns, user access, and conversation logs. User queries and stored question patterns were preprocessed (lowercasing, cleaning, tokenization), vectorized using TF–IDF, and matched using Cosine Similarity with a 0.6 acceptance threshold to route responses into three classes (Static, Menu, or Schedule) or a fallback reply. Functional verification through black-box testing confirmed the correct operation of core modules and end-to-end message handling. Similarity computation was validated against a manual example (0.816 vs. 0.8165). Robustness testing on 50 employee questions (25 standard and 25 informal/misspelled) achieved 92% accuracy (46/50); retrieval effectiveness measured as micro-F1 across the three response classes was approximately 0.95, with four queries treated as unmatched. A baseline comparison showed that Cosine Similarity was more tolerant to paraphrasing than SQL keyword matching. The case study ran from August to November 2025, and conversation logs were used during the maintenance phase to refine FAQ patterns and improve coverage. Overall, the chatbot offers a lightweight and deployable solution for routine, time-sensitive internal information services in retail workplaces.

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