PENERAPAN BUSINESS INTELLIGENCE UNTUK ANALISIS DAN VISUALISASI PERFORMA KONTEN MEDIA SOSIAL INSTAGRAM PT.XYZ MENGGUNAKAN TABLEAU

Muhamad Taqi Rachman Aditama, . (2026) PENERAPAN BUSINESS INTELLIGENCE UNTUK ANALISIS DAN VISUALISASI PERFORMA KONTEN MEDIA SOSIAL INSTAGRAM PT.XYZ MENGGUNAKAN TABLEAU. Tugas Akhir thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

Instagram has become one of the primary social media platforms used by companies to disseminate information, establish communication, and increase audience engagement. However, content performance Analysis is often conducted manually, making it less effective in providing insights to support decisio making. This study aims to develop a web based Business Intelligence dashboard to analyze the Instagram content performance of PT. XYZ. The Prototypemethod was employed using Instagram Insight data collected from February 2025 to February 2026. The research process included data cleaning, transformation, and visualization using Tableau Public, followed by Integration into a Website developed with HTML, CSS, and JavaScript. The resulting system consists of three dashboards: Dashboard Overview, Dashboard Content Performance Comparison, and Dashboard Best Time to Post. The Analysis revealed that the Instagram account published 11,748 posts, achieved a Total reach of 270,447,263, a Total engagement of 17,587,413, and an engagement rate of 6.63%. Furthermore, reels demonstrated the best performance, with an Average reach of 62,434, an Average engagement of 4,639, and an engagement rate of 5.63%, outperforming posts and stories. The developed dashboard presents information in a visual and interactive manner, facilitating content performance monitoring, trend identification, and data-driven decision-making.

Item Type: Thesis (Tugas Akhir)
Additional Information: [No.Panggil: 2310501096] [Pembimbing: Erly Krisnanik] [Penguji 1: Tri Rahayu] [Penguji 2: Rifka Dwi Amalia]
Uncontrolled Keywords: Business Intelligence, Instagram, Tableau Public, dashboard, content performance Analysis.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Ilmu Komputer > Program Studi Sistem Informasi (DIII)
Depositing User: MUHAMAD TAQI RACHMAN ADITAMA
Date Deposited: 08 Sep 2026 06:21
Last Modified: 08 Sep 2026 06:21
URI: http://repository.upnvj.ac.id/id/eprint/51217

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