Research Article
Assessing Technology Sophistication in Providing Blended Learning System Using Technometric Approach (Case Study: SMA Unggul Del)
@INPROCEEDINGS{10.4108/eai.6-10-2022.2327340, author={Karlina Gultom and Arini Desianti Parawi and Rinto Tampubolon Tampubolon and Yosef Manik}, title={Assessing Technology Sophistication in Providing Blended Learning System Using Technometric Approach (Case Study: SMA Unggul Del)}, proceedings={Proceedings of the 5th International Conference on Vocational Education and Technology, IConVET 2022, 6 October 2022, Singaraja, Bali, Indonesia}, publisher={EAI}, proceedings_a={ICONVET}, year={2023}, month={2}, keywords={assessment technometrics strategy blended learning sma unggul del}, doi={10.4108/eai.6-10-2022.2327340} }- Karlina Gultom
Arini Desianti Parawi
Rinto Tampubolon Tampubolon
Yosef Manik
Year: 2023
Assessing Technology Sophistication in Providing Blended Learning System Using Technometric Approach (Case Study: SMA Unggul Del)
ICONVET
EAI
DOI: 10.4108/eai.6-10-2022.2327340
Abstract
The easing of the Covid-19 pandemic has forced school management to continue to prepare themselves to implement a blended learning system. In these conditions, the level of sophistication and up-to-date technology that supports blended learning is needed. This study aims to assess the level of technological sophistication in implementing blended learning at SMA Unggul Del. The method used in this research is Teknometric, equipped with a SWOT analysis. The technometric method identifies the contribution of technology components and the level of technological sophistication through four aspects: technoware, humanware, infoware and orgaware. These four aspects are derived into 10 criteria, 43 sub-criteria and 94 sub-criteria, which were developed with a combination of literature studies and expert opinion. The state-of-the-art assessment of each component was carried out using the triangulation method, namely observation, documentation, and interviews. Based on technometric calculations, the contribution value of technoware components is 0.76, humanware is 0.84, infoware is 0.96 and orgaware is 0.86. This value is then aggregated into the Technology Contribution Coefficient (TCC) index for blended learning at SMA Unggul Del, which is 0.83, which is included in the excellent and modern category. Based on the SWOT analysis, all components (technoware, humanware, infoware and orgaware) are in quadrant I with the relevant strategy of aggressive growth
