Pelatihan Pemanfaatan Software Pendukung Statistik Dalam Pengolahan Data Kuantitatif Bagi Guru-Guru SMA

Authors

  • Herlawati Universitas Bhayangkara Jakarta Raya
  • Prima Dina Atika Universitas Bhayangkara Jakarta Raya
  • Rahmadya Trias Handayanto Universitas Islam 45 Bekasi
  • Malikus Sumadyo Universitas Islam 45 Bekasi
  • Seta Samsiana Universitas Islam 45 Bekasi
  • Anita Setyowati Srie Gunarti Universitas Islam 45 Bekasi
  • Maimunah Universitas Muhammadiyah Magelang

DOI:

https://doi.org/10.31599/79gqt343

Keywords:

Software, Statistic, Matlab Mobile, SPSS

Abstract

Teachers need additional knowledge of quantitative data processing using statistical support software because of the diverse educational backgrounds of teachers such as education science, management science, although there are also those whose educational background is mathematics and natural sciences (MIPA). In addition, the level of awareness of teachers to study statistics for processing quantitative data is still low and is considered less important. Solutions that can be given to this community service activity include organizing training on the use of statistical support software to provide understanding and skills in the use of such software, including Microsoft Ms.Excel and Matlab Mobile in an effective and efficient manner. This can be done through the mentoring process in this activity and will be followed by other advanced trainings. The results of this training, based on a survey using an online mentimeter, showed that it was very useful and the participants wanted to continue this training with the theme of using the Statistical Package for the Social Sciences (SPSS).

Downloads

Download data is not yet available.

Downloads

Published

2024-03-20

Issue

Section

Articles

How to Cite

Herlawati, H., Atika, P. D., Handayanto, R. T., Sumadyo, M., Samsiana, S., Gunarti, A. S. S., & Maimunah, M. (2024). Pelatihan Pemanfaatan Software Pendukung Statistik Dalam Pengolahan Data Kuantitatif Bagi Guru-Guru SMA. Journal Of Computer Science Contributions (JUCOSCO), 2(2), 165-174. https://doi.org/10.31599/79gqt343

Most read articles by the same author(s)

Similar Articles

You may also start an advanced similarity search for this article.