Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Riset Sistem Informasi
Fiona Christina Subianto
UPN Veteran Jawa Timur
Computer Science & IT Education Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PENGEMBANGAN DASHBOARD INTERAKTIF MENGGUNAKAN FRAMEWORK STREAMLIT UNTUK VISUALISASI DATA PERSEBARAN USAHA DI KOTA SURABAYA Septia Dea Rosita; Lisa Dwi Anggraini; Arifa Damayanti; Fiona Christina Subianto; Doddy Ridwandono
Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/vs53y594

Abstract

The development of information technology has transformed the way statistical data is managed, analyzed, and presented, moving from static tables to interactive web-based visualizations. Interactive data presentation is considered to enhance users' ability to explore information in greater depth than static descriptive presentations. However, achieving interactive visualization is not simple, as it requires thorough dataset management, from data cleaning and validation to data transformation, as well as appropriate analysis methods to ensure the results are truly informative and easy to interpret. This article sequentially discusses these three main aspects: dataset management, data analysis methods, and interactive visualization approaches, as well as a case study of developing a web-based dashboard using Python and Streamlit. The discussion includes the data cleaning and preparation process, analysis techniques used to identify patterns and trends, and the implementation of interactive components such as dynamic charts, filters, and navigation elements on the dashboard interface. The results of this approach demonstrate that the combination of systematic data management with web visualization can produce information presentations that are more communicative, easily accessible, and support users' independent data exploration.
Co-Authors Arifa Damayanti Doddy Ridwandono Lisa Dwi Anggraini Septia Dea Rosita