Implementation of Discovery Learning to Improve CNC Machining Learning Achievement in Vocational High Schools

The low competence of vocational high school graduates in Indonesia is a problem in meeting the needs of the world of work. Limited learning facilities and infrastructure cause low competence. This class action research aims to analyze the implementation of discovery learning on CNC machining learning achievement. This research was conducted on 18 students of class XII of Mechanical Engineering 2 of SMK Negeri 2 Sragen. Data was collected using multiple choice test instruments to measure knowledge learning achievement and observation sheets to measure CNC machine operation skills learning achievement and 21st-century skills learning achievement. The results showed that implementing discovery learning can improve knowledge learning achievement, CNC machine operation skills learning achievement, and 21st-century skills learning achievement. The increase in knowledge learning achievement can be seen from the pre-cycle results, which reached 6% to 44% in cycle 1 and 83% in cycle 2. The increase in learning achievement of CNC operating skills can be seen from the results of cycle 1, which reached 33% and 94% in cycle 2. The increase in learning achievement of 21st-century skills can be seen from the results of cycle 1, which reached 61% and 89% in cycle 2. These results show that the application of discovery learning has a positive impact on improving student learning achievement. This research is expected to have a follow-up from the teacher so that implementing CNC learning can facilitate students' talents and interests.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-10
DOI
https://doi.org/10.5281/zenodo.14365222
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of Discovery Learning to Improve CNC Machining Learning Achievement in Vocational High Schools

Zenodo (CERN European Organization for Nuclear Research)
Arctic and Antarctic ice dynamics
article

Implementation of Discovery Learning to Improve CNC Machining Learning Achievement in Vocational High Schools

article en

Abstract

The low competence of vocational high school graduates in Indonesia is a problem in meeting the needs of the world of work. Limited learning facilities and infrastructure cause low competence. This class action research aims to analyze the implementation of discovery learning on CNC machining learning achievement. This research was conducted on 18 students of class XII of Mechanical Engineering 2 of SMK Negeri 2 Sragen. Data was collected using multiple choice test instruments to measure knowledge learning achievement and observation sheets to measure CNC machine operation skills learning achievement and 21st-century skills learning achievement. The results showed that implementing discovery learning can improve knowledge learning achievement, CNC machine operation skills learning achievement, and 21st-century skills learning achievement. The increase in knowledge learning achievement can be seen from the pre-cycle results, which reached 6% to 44% in cycle 1 and 83% in cycle 2. The increase in learning achievement of CNC operating skills can be seen from the results of cycle 1, which reached 33% and 94% in cycle 2. The increase in learning achievement of 21st-century skills can be seen from the results of cycle 1, which reached 61% and 89% in cycle 2. These results show that the application of discovery learning has a positive impact on improving student learning achievement. This research is expected to have a follow-up from the teacher so that implementing CNC learning can facilitate students' talents and interests.

Zenodo (CERN European Organization for Nuclear Research)
State University of Malang (ID), Yogyakarta State University (ID), Institute for Adriatic Crops and Karst Reclamation (HR)
Openalex Percentile: Top 63%
Arctic and Antarctic ice dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Implementation of Discovery Learning to Improve CNC Machining Learning Achievement in Vocational High Schools · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS