Winda Widya Dini, Feriandy, and Deni Indra Purnama Koto from Universitas Mitra Bangsa researched the effectiveness of the social media-assisted Problem Based Learning (PBL) method in improving students' abilities to manage MSME branding
The development of digital technology requires business actors, including MSMEs, to have a strong marketing strategy on social media
To solve this problem, the researchers implemented a learning innovation through Classroom Action Research involving students in the Social Media Technology course
The evaluation results show that the implementation of this learning method provides a highly significant improvement in competencies
- The average score of students' abilities soared rapidly with an increase of 16.6 points, from 66.7 in the initial stage to 83.3 in the final stage
. - Students experienced a drastic improvement in their ability to plan structured, data-driven branding strategies
. - Students were proven capable of producing digital content that is more innovative and relevant to the target market
. - The management of MSME social media accounts by the students became much more targeted and professional
. - The level of participation, effective team collaboration, and students' self-confidence increased sharply when they presented the results of their marketing projects
.
These findings bring a positive impact on higher education institutions and the business world
"The combination of the PBL method and the use of social media can create learning that is active, contextual, and relevant to the needs of business and industry," concluded Winda Widya Dini and the team of academics from Universitas Mitra Bangsa in their final report
Author Profile:
This research was authored by Winda Widya Dini (Corresponding Author), Feriandy, and Deni Indra Purnama Koto
Research Source:
- Article Title: Strengthening MSME Branding Competencies Through Social Media-Based Problem Based Learning (PBL) in the Context Of Student Business Management
- Journal Name/Volume: Indonesian Journal of Business Analytics (IJBA), Vol. 6, No. 3
- Publication Date: June 2026
- Official Link (DOI):
https://doi.org/10.55927/ijba.v6i3.16618
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