Ramadina Pertiwi
Papers
1
Total Citations
2
H-Index
1
About
Ramadina Pertiwi’s research centers on decision support systems and multi-criteria decision-making, with a focus on optimizing organizational management through computational methods. Her most cited work, “Sistem Pendukung Keputusan Dalam Menentukan Kepala Bengkel Terbaik Menggunakan Metode AHP dan WSM” (2021), introduces a novel hybrid approach combining the Analytic Hierarchy Process (AHP) and Weighted Sum Model (WSM) to systematically evaluate and select workshop heads. This study demonstrates how interactive computer-based systems can transform subjective personnel decisions into data-driven, structured solutions, addressing real-world challenges in resource allocation and leadership selection. With 2 citations, this paper has laid foundational insights for practitioners and researchers in applied decision science, particularly in Indonesian industrial contexts. Pertiwi’s contributions highlight the practical integration of mathematical models into user-friendly interfaces, bridging the gap between theoretical algorithms and operational efficiency. Her work serves as a valuable reference for students and professionals exploring decision support systems, offering a replicable framework for solving complex, multi-attribute problems in human resource management.
Research Focus
Key Achievements
Top Papers
- 1