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Contact Name
Nizwardi Jalinus
Contact Email
nizwardi@ft.unp.ac.id
Phone
+6281266945758
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Editorial Address
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 12 Documents
Search results for , issue "Vol 3 No 3 (2020): Regular Issue" : 12 Documents clear
PERBEDAAN KUALITAS RENDANG DAGING DENGAN PENGGUNAAN BUMBU BASAH DAN BUMBU KERING Mentari, Berhias; Faridah, Anni; Holinesti, Rahmi; Azhar, Minda
Jurnal Pendidikan Teknologi Kejuruan Vol 3 No 3 (2020): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v3i3.13423

Abstract

Beef rendang is a popular traditional food from West Sumatra which is commonly cooked by using fresh seasoning such as herbs and spices yet not all types of those ingredients are effortlessly available to be found. This issue hinders the local community to cook beef rendang with the original taste of West Sumatra. As a matter of fact, producing dried seasoning to cook rendang could be a possible solution to solve this issue. This study aimed to compare the sensory analysis of beef rendang by using fresh and dried seasoning. This sort of research was a pure experiment with a completely randomized design and 3 repetitions. The ingredients being used are beef, coconut milk, chilies, ginger, galingale, lemongrass, shallots, garlic, lime leaves, bay leaves, turmeric leaves and salt, cooking oil, nutmeg and coriander purchased at traditional markets. The seasoning was sautéed and the coconut milk was poured into the pan, then the beef was added onto the coconut milk with the seasoning until it is half cooked in which the name is Kalio (Like curry, but not become rendang yet), then it was heated up and dried up for hours until the coconut milk dried and turned black which is called rendang. In addition, the data collection technique was carried out by giving a questionnaire to the panelists. The data analysis used was the t-test independent sample t-test using SPSS 15.0 software. The results obtained from the research showed that the average values of the sensory evaluation of the two rendang were almost similar. The average values of beef rendang sensory evaluation using fresh and dried seasoning, respectively, were colour 3.26 and 3.53; aroma 4.0 and 4.13; the texture has the same value, namely 3,4; taste namely 4,6 and 4,46 and the hedonic test 4,33 and 4,20. These results were likely identical as what the statistical test attained (t-test) that there are no significant differences between beef rendang using dried seasoning and fresh seasoning for each sensory testing.
Talk show segmentation system based on Twitter using K-medoids clustering algorithm Sepyanto, Kharisma Jevi Shafira; Chrisnanto, Yulison Herry; Umbara, Fajri Rakhmat
Jurnal Pendidikan Teknologi Kejuruan Vol 3 No 3 (2020): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v3i3.15123

Abstract

Innovations on a talk show on television can be a threat. Audience will be divided into groups so that it can make a downgrade rating program. Program ratings affect companies that will use advertising services. Television companies will go bankrupt. The biggest source of income is sales of advertising services. One way to overcome them can be analyzed in public opinion. The results of the analysis can provide information about the attractiveness of the community towards the program. But the analysis process takes a long time and can be done only by a competent person so another process is needed to get the results of the analysis that is fast and can be done by anyone. In this study using K-Medoids Clustering in the process of identifying public opinion. The clustering process known as unsupervised learning will be combined with the labeling process. The previous episode's tweet data will be labeled and then used to obtain the predicted labels from other cluster members. Before going through the clustering stage, the tweet data will go through the text preprocessing stage then transformed into a numeric form based on the appearance of the word. Transformation data will be clustered by calculating proximity using Cosine Similarity. Labels from the Medoids cluster will be used on unlabeled tweet data. The cluster results were tested using the Silhouette Coefficient method to get 0.19 results. However, this method successfully predicted public opinion and achieved an accuracy of 80%.

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