The Effect of Computer Network Learning Using Cisco Packet Tracer on Student Learning Outcomes a SMK Negri 2 Doloksanggul

This study aims to analyze the effect of computer network learning using Cisco Packet Tracer on student learning outcomes at SMK Negeri 2 Doloksanggul. The research employed a quantitative method with a pre-test and post-test Non-Equivalent Control-Group Design. The population consisted of 30 students in the experimental class (using Cisco Packet Tracer) and 30 students in the manual class (without Cisco Packet Tracer). Before hypothesis testing, classical assumption tests, including normality, homogeneity, and initial ability difference tests, were conducted. The results showed that the data was not normally distributed and not homogeneous, so non-parametric statistical analysis (Mann Whitney and Wilcoxon tests) was used. The initial ability difference test showed no significant difference between the two classes, allowing hypothesis testing to be performed on the post-test data. Descriptive analysis indicated a significant increase in learning outcomes in the experimental class, where students transitioned from moderate or bad to good after using Cisco Packet Tracer. Mann Whitney test results showed a higher mean rank in the experimental class, while Wilcoxon test results (p = 0.00) indicated a significant positive effect. In conclusion, Cisco Packet Tracer significantly improved student learning outcomes in Network Infrastructure Administration at SMK Negeri 2 Doloksanggul.

Authors

Institutions

Publication Details

Journal
Outline Journal of Education
Published
2025-08-16
DOI
https://doi.org/10.61730/w20mhp45
Primary Topic
IoT-based Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effect of Computer Network Learning Using Cisco Packet Tracer on Student Learning Outcomes a SMK Negri 2 Doloksanggul

Ayuna Sianturi, Albiner Siagian, Justice Z. Panggabean
Outline Journal of Education
IoT-based Control Systems
article

The Effect of Computer Network Learning Using Cisco Packet Tracer on Student Learning Outcomes a SMK Negri 2 Doloksanggul

Ayuna Sianturi, Albiner Siagian, Justice Z. Panggabean
article en

Abstract

This study aims to analyze the effect of computer network learning using Cisco Packet Tracer on student learning outcomes at SMK Negeri 2 Doloksanggul. The research employed a quantitative method with a pre-test and post-test Non-Equivalent Control-Group Design. The population consisted of 30 students in the experimental class (using Cisco Packet Tracer) and 30 students in the manual class (without Cisco Packet Tracer). Before hypothesis testing, classical assumption tests, including normality, homogeneity, and initial ability difference tests, were conducted. The results showed that the data was not normally distributed and not homogeneous, so non-parametric statistical analysis (Mann Whitney and Wilcoxon tests) was used. The initial ability difference test showed no significant difference between the two classes, allowing hypothesis testing to be performed on the post-test data. Descriptive analysis indicated a significant increase in learning outcomes in the experimental class, where students transitioned from moderate or bad to good after using Cisco Packet Tracer. Mann Whitney test results showed a higher mean rank in the experimental class, while Wilcoxon test results (p = 0.00) indicated a significant positive effect. In conclusion, Cisco Packet Tracer significantly improved student learning outcomes in Network Infrastructure Administration at SMK Negeri 2 Doloksanggul.

Outline Journal of EducationVol. 4(2)
Institut Agama Islam Negeri Bengkulu (ID)
Openalex Percentile: Top 70%
IoT-based Control Systems
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.