Designing a Power BI-Based Visitor Data Visualization for Museum Musik Indonesia as a Basis for Managerial Decision-Making

Izzatul Ulya; Ratnaning Palupi; Dini Resmita; Fatkhur Rochman; Salsabil Salma

doi:10.63922/ijebir.v5i06.6898

Izzatul Ulya Department of Business Administration, Politeknik Negeri Malang, Jl. Soekarno Hatta No. 9, Malang
Ratnaning Palupi Department of Business Administration, Politeknik Negeri Malang, Jl. Soekarno Hatta No. 9, Malang
Dini Resmita Department of Business Administration, Politeknik Negeri Malang, Jl. Soekarno Hatta No. 9, Malang
Fatkhur Rochman Department of Business Administration, Politeknik Negeri Malang, Jl. Soekarno Hatta No. 9, Malang
Salsabil Salma Department of Business Administration, Politeknik Negeri Malang, Jl. Soekarno Hatta No. 9, Malang

DOI: https://doi.org/10.63922/ijebir.v5i06.6898

Keywords: data visualization, visiting pattern, dashboard, managerial decision-making, Power BI

Abstract

Museum Musik Indonesia (MMI) plays a strategic role in preserving Indonesia's musical heritage, but its accumulated visitor data remain static figures in reports and have not been turned into information for managerial decision-making. This study aims to identify the profile and pattern of visits to MMI and to design a Power BI-based visitor data visualization as a managerial decision-support tool. This applied, descriptive quantitative study used 128 visit records for January–June 2026 from the museum's guest book, supplemented by interviews with management to map information needs. The data were processed with descriptive statistics in Microsoft Excel and then visualized with Microsoft Power BI. The results show that university students were the dominant category (53.1%), followed by general visitors (25.8%), communities/institutions (10.2%), school students (7%), lecturers/teachers (2.3%), and unspecified (1.6%). A total of 68.8% of visits came from Malang City. Visits peaked in June 2026 (41.1%) and were lowest in January 2026 (2.3%), indicating a link to the academic calendar. The dashboard presents category composition, domicile distribution, and monthly trends on a single page, and can therefore support seasonal marketing, stronger academic partnerships, and wider promotion. The dashboard has not yet been tested with users, and the data cover only six months.

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