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ANALISIS VISUAL DAN KLASTERISASI MULTIDOMAIN MENGGUNAKAN PYTON: KEUANGAN, GIZI, DAN POLITIK Abu Bakar Riziq; Ahmad Fadillah; Fahmi Firmansyah; Gumilang Ali Prayogi; Defri Sulaeman; Intan Kumalasari
Journal of Research and Publication Innovation Vol 3 No 3 (2025): JULY
Publisher : Journal of Research and Publication Innovation

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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.
PERAN DAN IMPLEMENTASI SISTEM INFORMASI MANAJEMEN DALAM PENGAMBILAN KEPUTUSAN DAN PENINGKATAN DAYA SAING ORGANISASI DI ERA DIGITAL Ahmad Fadillah; Abu Bakar Riziq; Defry Sulaeman; Fahmmi Firmansyah; Gumilang Ali Prayogi; Reza Prasetya
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
Publisher : Journal of Research and Publication Innovation

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Abstract

This research integrates various conceptual approaches and case studies on the implementation of Management Information Systems (MIS) to support data-driven decision-making in the digital era. The rapid development of information technology has required organizations to manage data and design business strategies swiftly, positioning MIS as a core foundation for digital transformation. This study aims to describe the role of MIS in supporting the decision-making process and to analyze the impact of MIS implementation on improving organizational efficiency and competitiveness. The research also identifies major constraints, such as human resource limitations and data security issues, faced in the application of MIS across various sectors. A qualitative descriptive approach using the literature review method was employed to synthesize findings from six national scientific journals published between 2022 and 2025. The analysis involved data reduction, categorization, and thematic synthesis to construct a unified conceptual framework. The findings indicate that MIS plays a critical role in accelerating managerial planning, control, and performance evaluation processes. Furthermore, the integration of modern technologies like cloud computing, big data analytics, and artificial intelligence (AI) enhances the effectiveness of MIS in supporting organizational digital transformation and evidence-based decision-making. This study asserts that effective and integrated MIS implementation can significantly improve the quality of decisions, productivity, and organizational competitiveness amidst global competition.