JUITA : Jurnal Informatika
JUITA Vol. 11 No. 1, May 2023

Selection of TikTok Content Based on User Engagement Criteria Using the Analytic Hierarchy Process

Citra Wiguna (Institut Teknologi Telkom Purwokerto)
Sri Mulyana (Department of Computer Science and Electronics, Universitas Gadjah Mada)
Retantyo Wardoyo (Department of Computer Science and Electronics, Universitas Gadjah Mada)



Article Info

Publish Date
06 May 2023

Abstract

Indonesia has 106.9 million active TikTok users aged 18 and above. TikTok is designed for engagement in many ways, as it actively encourages two-way communication and eye-catching content. Uploaded content must have its uniqueness variable. In increasing the engagement of a TikTok account, criteria are chosen based on the COBRA concept (consuming, contributing, and creating) and alternatives based on social media content trends in Indonesia (tutorial, educational, a day in my life, behind the scene dan tips and trick). This research was conducted by implementing the Analytic Hierarchy Process (AHP) method to select the content that must be prioritized to get engagement from the wider community. From the data processing results obtained, tutorial content is the best content in increasing engagement results, especially TikTok. Content that has the lowest engagement is behind the scene content. Further research can be carried out through a group decision support system with various related experts. It can also be combined with the BORDA, TOPSIS, and Profile Matching methods to optimize ranking results.

Copyrights © 2023






Journal Info

Abbrev

JUITA

Publisher

Subject

Computer Science & IT

Description

UITA: Jurnal Informatika is a science journal and informatics field application that presents articles on thoughts and research of the latest developments. JUITA is a journal peer reviewed and open access. JUITA is published by the Informatics Engineering Study Program, Universitas Muhammadiyah ...