ANALISIS PROPORSI REMAJA DAN DEWASA USIA 15-24 TAHUN DENGAN KETERAMPILAN TEKNOLOGI INFORMASI DAN KOMPUTER DI INDONESIA PERIODE 2021-2023

Authors

  • Deska Phanosthy Hutagalung Universitas Palangka Raya
  • Euodia Marsa Universitas Palangka Raya
  • Lodri Ariantoni Universitas Palangka Raya
  • Jadiaman Parhusip Universitas Palangka Raya

DOI:

https://doi.org/10.51903/informatika.v4i2.832

Keywords:

Deska Phanosthy Hutagalung, Euodia Marsa2, Lodri Ariantoni, Jadiaman Parhusip

Abstract

This study aims to analyze the proportion of adolescents and adults aged 15-24 years with information and computer technology (ICT) skills in Indonesia during the period 2021-2023. The data used comes from the official publication of the Central Statistics Agency (BPS) covering 38 provinces. The results show that the proportion of ICT skills nationally has increased, from 91.83% in 2021 to 94.31% in 2023. Provinces in the Java and Bali regions, such as DI Yogyakarta (98.95%) and Central Java (97.88%), have the highest proportion. In contrast, eastern regions of Indonesia, such as Papua (36.81%) and Maluku (82.80%), show lower proportions. Further analysis reveals that factors such as access to digital infrastructure, education levels and urbanization play an important role in influencing the disparity in ICT skills between regions. These disparities reflect inequalities in education equity and access to technology in Indonesia, which need to be addressed in policy formulation. Improved digital infrastructure, provision of community-based training, and collaboration between the government and private sector are recommended to support ICT skills development in areas with limited access. With these strategic efforts, it is expected that all Indonesian adolescents and young adults can have equal digital skills to support competitiveness and productivity.

References

[1] Arulogun, O.T., Olatunbosun, A., Fakolujo, O.A. and Olaniyi, O.M., 2013. RFID-based student’s attendance management system. International Journal of Scientific & Engineering Research, 4(2), pp.1-9.

[2] Ding, K. and Jiang, P., 2017. RFID-based production data analysis in an IoT-enabled smart job-shop. IEEE/CAA Journal of Automatica Sinica.

[3] Irawan, J.D., Prasetio, S. and Wibowo, S.A., 2016. IP Based Module for Building Automation System. In Proceedings of Second International Conference on Electrical Systems, Technology and Information 2015 (ICESTI 2015) (pp. 337-343). Springer Singapore.

[4] Sharma T, Aarthy SL. An automatic attendance monitoring system using RFID and IOT using Cloud. In Green Engineering and Technologies (IC-GET), 2016 Online International Conference on 2016 Nov 19 (pp. 1-4). IEEE.

[5] Singh, A., Meshram, S., Gujar, T. and Wankhede, P.R., 2016, December. Baggage tracing and handling system using RFID and IoT for airports. In Computing, Analytics and Security Trends (CAST), International Conference on (pp. 466-470). IEEE.

[6] McKinsey & Company, “The future of work: Rethinking skills to tackle the global challenges of tomorrow,” 2020.

[7] UNESCO, “Digital literacy in education: Developing skills for the future,” 2019.

[8] World Economic Forum, “Global gender gap report 2021: Digital inclusion and empowerment,” 2021.

[8] World Economic Forum, “Global gender gap report 2021: Digital inclusion and empowerment,” 2021.

[9] Zhang, T., Li, Y., & Wang, Q., "The role of government in bridging the digital divide: Policy perspectives," Journal of Digital Transformation, 2018.

[10] Kumar, S., Gupta, R., & Mehta, P., "Cloud-based e-learning platforms: Advancing digital skills in developing countries," International Journal of Digital Education, 2020.

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Published

2024-12-16