Purnama Alamsyah
Pusat Penelitian Perkembangan Ilmu Pengetahuan dan Teknologi-LIPI, Jakarta Gedung Widya Graha LIPI Lt. 8 Jl. Jend. Gatot Subroto 10

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : STI Policy and Management Journal

Unraveling Indonesian Public R&D Institutions’ Perspectives on Chatgpt: An Analytical Approach To Decoding Open-Ended Surveys Through Topic Modeling Budiansyah, Andi; Alamsyah, Purnama; Isnasari, Yovita; Asmara, Indri Juwita; Setiawan, Sigit; Romadona, Mia Rahma
STI Policy and Management Journal Vol 9, No 1 (2024): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2024.386

Abstract

The rapid development of artificial intelligence (AI) technologies like ChatGPT has made global management easier. Since 2020, AI has been widely utilized for all purposes, notably due to its ease in access for scientific production. This study aims to analyze open-ended questions and responses from web-based survey in Indonesian public research and development (R&D) institutions using topic modeling. A total of 205 data points were obtained through web-based surveys conducted among researchers in Indonesian public R&D institutions. To learn their thoughts on the use of ChatGPT (Chat Generative Pre-Trained Transformer), two AI language topic modeling, Latent Dirichlet Allocation (LDA) and Principal Component Analysis (PCA), were employed to detect survey topic structures and show the results. Three theme groups represent the institution's research cohort. Based on generational disparities in birth year and functional position level, this study selected the seven most popular topics from three themes of researchers' opinions on ChatGPT. Researchers of certain age generations and functional position levels focused on new AI technologies, efficiency, and production gains, while others valued methodological innovation, ethics, and scientific integrity. When formulating a strategy for incorporating AI into the public R&D institution's future research agendas, it is imperative to include diverse perspectives.
Discovering Appropriate Policy to Strengthen Indonesia’s Space Science: A Discourse Network Analysis Zaki, Ahmad; Alamsyah, Purnama; Pratomo, Adhi; Triwahyuni, Desi
STI Policy and Management Journal Vol 10, No 1 (2025): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2025.410

Abstract

Changes in institutional structures, mandates stated in laws and regulations, growing community participation, and the involvement of government institutions in international space organizations have resulted in issues related to countries’ contribution of roles and responsibilities, as well as the strategic value of collaboration for implementing national space science. This study presents the discourse on space science activities in Indonesia. Based on the analysis results of 92 online media articles published from 2022 to 2024, various actors spoke about space science, emphasizing more collaboration and a formulary of technical regulations to handle the country’s wide area, while considering modalities that need to be strengthened and challenges that need to be addressed. Using a relationship mapping method known as discourse network analysis (DNA), in which the results were analyzed for causal-effect among them, this study has identified three gaps as the national priority needs: space security for national sovereignty, space disaster mitigation due to falling space objects, and flight safety due to space weather. This study has explained these challenges through a framework that captures the interplay of actors, policy gaps, specific sophisticated technologies, and mandates of actors.