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p-Index From 2020 - 2025
0.444
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All Journal JPSI (Journal of Public Sector Innovations)
Nuryanto, Adi
Unknown Affiliation
Humanities Education Environmental Science

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Revealing Knowledge Mining Intelligence: A Paradigm Shift from Data Mining in the Foreign Cooperation Context Nuryanto, Adi; Wijaya, Chandra; Indriati Dwi Liestiawati, Fibria; Kuklin , Nikita
JPSI (Journal of Public Sector Innovations) Vol. 8 No. 2 (2024): May 2024
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpsi.v8n2.p68-77

Abstract

This article delves into the emerging concept of Knowledge Mining Intelligence (KMI) and its transformative impact within the realm of foreign cooperation. It examines the transition from conventional Data Mining practices to the advanced techniques inherent in KMI, offering a comprehensive framework for its implementation in the foreign cooperation information supply chain. The article explores the theoretical foundations of KMI, emphasizing its role as a catalyst for efficient foreign cooperation endeavors. Through a detailed analysis, it elucidates the profound shift from data-centric methodologies to knowledge-centric paradigms.
Analyzing the Feasibility of Introducing Business Intelligence for Enhancing International Cooperation in the Ministry of Education, Culture, Research, and Technology of Indonesia Nuryanto, Adi; Wijaya, Chandra; Indriati Dwi Liestiawati, Fibria
JPSI (Journal of Public Sector Innovations) Vol. 9 No. 2 (2025): May 2025
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

International cooperation plays a crucial role in enabling public organizations to achieve their strategic objectives by utilizing business intelligence (BI) tools for informed decision-making. The quality of data and analysis significantly influences the formulation of effective cooperation strategies, particularly in identifying challenges, opportunities, and risks. Successful cooperation also depends on the availability of adequate financial, human, and technological resources, as well as strong institutional partnerships. This study examines the potential application of Business Intelligence (BI) to strengthen the international cooperation framework within Indonesia’s Ministry of Education, Culture, Research, and Technology (MoECRT). The research addresses the current gap in optimizing data-driven policy support for international engagement, particularly in managing complex, cross-sectoral collaboration. It investigates how BI can contribute to improving strategic planning, operational efficiency, and responsiveness in foreign cooperation efforts through innovative approaches to data utilization. By analyzing Indonesia’s institutional capacity and limitations in organizing international cooperation across education, culture, research, and technology, the paper offers practical insights into how BI integration can enhance performance. The study aims to contribute to the discourse on digital transformation and innovation in public sector cooperation, providing evidence-based recommendations for elevating MoECRT’s global partnerships
Co-Authors Chandra Wijaya Fibria Indriati Kuklin , Nikita