Natalia Silalahi
Papers
2
Total Citations
3
H-Index
1
About
Natalia Silalahi is a researcher whose work bridges decision support systems and early childhood education in the digital age. Her primary research areas include multi-criteria decision-making methodologies and computational thinking development in young learners. Silalahi’s most cited work, "Sistem Pendukung Keputusan Dalam Menentukan Kepala Bengkel Terbaik Menggunakan Metode AHP dan WSM" (2021), demonstrates her expertise in applying the Analytic Hierarchy Process and Weighted Sum Model to solve real-world organizational challenges, such as selecting the most qualified workshop heads. This paper has garnered 2 citations, reflecting its practical utility in human resource decision-making. More recently, her 2024 paper "Stimulasi Kemampuan Berpikir Komputasional pada Anak Usia Dini di Era Digital" explores how digital tools can foster foundational skills like algorithmic thinking, logic, and problem-solving in early childhood—a critical area as technology becomes ubiquitous. With 1 citation, this work highlights her forward-looking approach to preparing the next generation for a computational world. Silalahi’s contributions are notable for their interdisciplinary nature, combining technical decision frameworks with educational innovation, making her a valuable voice in both applied informatics and pedagogical research.
Research Focus
Key Achievements
Top Papers
- 1
- 2