DEVELOPMENT OF STREAMLIT-BASED HIGHER EDUCATION RANKING INSTRUMENT BOARDS
DOI:
https://doi.org/10.34012/jurnalsisteminformasidanilmukomputer.v7i1.3813Abstract
The dashboard is a tool used to measure and evaluate comparisons of tertiary institutions based on six main aspects, namely teaching, research, industry income, international outlook, and citation scores. (citation score). This research aims to develop an interactive and easy-to-use college ranking dashboard using the Python language. The data obtained will be taken from a website using the scrapping method, and then the data will be combined annually. The method applied in this study uses data life cycle management with essential stages, including collection, processing, analysis, visualization, and data presentation. The results of this study are expected to be able to create a website that can be used by various parties, including prospective students, parents, and researchers who plan to conduct further research. This dashboard lets users obtain relevant information and compare multiple tertiary institutions effectively and efficiently.
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M. Muhardi, “KONTRIBUSI PENDIDIKAN DALAM MENINGKATKAN KUALITAS BANGSA INDONESIA,” vol. XX, no. 4, pp. 478–492, 2005.
R. R. Putra, “PEMILIHAN JURUSAN PERGURUAN TINGGI UNTUK ANAK DI SURABAYA,” pp. 1–11, 2018.
D. Iskandar, M. Alif Fathoni, and A. Arta Bhrata, “Smart Manufacturing Management System Memanfaatkan Big Data Dan Algoritma Machine Learning Untuk Produksi UMKM,” Inform. Mulawarman J. Ilm. Ilmu Komput., vol. 16, no. 2, p. 96, 2021, doi: 10.30872/jim.v16i2.5258.
Novi Aryani Fitri and Ismaulidia Nurvembrianty, “Midwife Virtual Menggunakan Aplikasi Pelayanan Chatbot Polita Sebagai Media Untuk Informasi Imunisasi,” SATIN - Sains dan Teknol. Inf., vol. 7, no. 1, pp. 12–21, 2021, doi: 10.33372/stn.v7i1.678.
R. Muzawi and W. J. Kurniawan, “Penerapan Internet of Things (IoT) Pada Sistem Kendali Lampu Berbasis Mobile,” J-SAKTI (Jurnal Sains Komput. dan Inform., vol. 2, no. 2, p. 115, 2018, doi: 10.30645/j-sakti.v2i2.75.
H. Halvorsen, Python Programming. 2020. [Online]. Available: https://www.halvorsen.blog/documents/programming/python/resources/Python Programming.pdf
B. Muthukadan, “Selenium Python Bindings,” 2014.
A. Y. Syaefulloh, “Web Scraping Menggunakan Python,” no. March, pp. 1–2, 2020.
R. Mitchell, Web Scraping with Python. 2018.
Data.NSW, “Data Management Life Cycle,” 2023. https://data.nsw.gov.au/IDMF/data-management-and-practice/data-management-life-cycle
K. Rahul and R. K. Banyal, “Data Life Cycle Management in Big Data Analytics,” Procedia Comput. Sci., vol. 173, no. 2019, pp. 364–371, 2020, doi: 10.1016/j.procs.2020.06.042.
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