THE INFLUENCE OF INDUSTRIAL WORK PRACTICE EXPERIENCE ON ENTREPRENEURIAL INTEREST IN STUDENTS OF AUTOMOTIVE MECHANICAL ENGINEERING EXPERTISE PROGRAM SMK TEXMACO PEMALANG
Journal Title: Engineering and Technology Journal - Year 2024, Vol 9, Issue 01
Abstract
Prakerin or Industrial Work Practice is an educational, training, and learning activity for Vocational High School (SMK) students conducted in the business world or the industrial world related to student competence in accordance with the field mastered. The purpose of this study is to determine whether there is an effect of work experience in the industry (Prakerin) on interest in entrepreneurship and how much influence. The subjects of this study include only class students. Where there are 88 students (2 classes), of which 44 students are used as a test and 44 other students as a research sample.
Authors and Affiliations
Sagita Rachmadiani Tania Dewi Meliyani Robby Romansyah Yudi Prastyo Tri Ngudi Wiyatno
LETTERS EXTRACTION IN SIGN BOARD USING VARIOUS OPTIMIZATION TECHNIQUES
Accurate localization of randomly deployed sensor nodes is critically important in wireless sensor networks (WSNs) deployed for monitoring and tracking applications. The localization challenge has been posed as a multidi...
UTILISATION OF SMALL INDUSTRIAL SOLID WASTE WELDING WORKSHOPS CARBIDE AS A RAW MATERIAL FOR GYPSUM (CASO4) PRODUCTION
In order to increase the effectiveness of the clean production program in the small carbide welding workshop industry, it is necessary to make efforts to reduce the existence of the waste produced because it pollutes the...
Design and Implementation of a 3D-Printed Robotics Manipulator for Object Detection and Grasping
This paper presents the design and implementation of a 3D-printed robotic manipulator tailored mainly for object detection and grasping. The robot is constructed with PLA material using a known design framework; it is no...
Research on Human Pose Estimation Model Based on Long-Range Fine-Grained Modeling
To address the issues of lacking long-range spatial position learning ability and excessive loss of fine-grained feature information during spatial feature pooling in human pose estimation models, a novel human pose esti...
Evaluating Transferability of Attacks across Generative Models
The need for adversarial sample transferability is to attack black-box deep learning models. Whereas much recent work focuses on making untargeted adversarial attacks more transferable, there has been scarce research on...