Journal of Research and Publication Innovation
Vol 3 No 3 (2025): JULY

ANALISIS VISUAL DAN KLASTERISASI MULTIDOMAIN MENGGUNAKAN PYTON: KEUANGAN, GIZI, DAN POLITIK

Abu Bakar Riziq (Unknown)
Ahmad Fadillah (Unknown)
Fahmi Firmansyah (Unknown)
Gumilang Ali Prayogi (Unknown)
Defri Sulaeman (Unknown)
Intan Kumalasari (Unknown)



Article Info

Publish Date
19 Jul 2025

Abstract

This study applies data visualization and machine learning techniques to explore patterns across three distinct domains: corporate financial reports, food nutritional content (amino acids), and vote distribution in regional elections. Using Python and libraries such as pandas, scikit-learn, matplotlib, and seaborn, this study utilizes the KMeans algorithm, Principal Component Analysis (PCA), and linear regression. The results are evaluated using the Silhouette Score to assess cluster quality. This study demonstrates that an exploratory approach with Python is effective in uncovering insights from cross-domain data and supporting data-driven decision-making.

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Journal Info

Abbrev

JORAPI

Publisher

Subject

Computer Science & IT Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

Description

Journal of Research and Publication Innovation is a multidisciplinary and scientific research journal that publishes research papers, review papers, case reports, case studies, book reviews, theses, dissertation works, etc. Published 4 times a year, every January, April, July and ...