Google Popularity Times Big Data-Based Place of Interest Popularity Analysis in the Kayutangan Tourism Corridor, Malang City

Suryatretnaningtyas, Gloria Aprillianti
Soewarni, Ida
Setiyawan, Arief
Afrianto, Firman

Journal of Indonesian Tourism and Development Studies
Vol. 14 No. 3 (2026)

This study examines the spatial-temporal dynamics of the Kayutangan tourism corridor, Malang City, utilizing Google Popularity Times. This novel big data approach fills traditional data gaps by capturing real-time visitor behavior. Data collected via web scraping were analyzed using Python-based data mining and visualization. The results reveal clear temporal patterns, with peak visitation on Saturdays during the afternoon and evening hours. Spatial analysis highlights an uneven distribution of visitor intensity, with specific locations dominating activity. This study contributes a scalable framework for heritage tourism planning, demonstrating the tool’s effectiveness for real-time visitor flow management and targeted infrastructure development.