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PENGARUH EKSPOR, INVESTASI, DAN INDEKS PEMBANGUNAN MANUSIA (IPM) TERHADAP PRODUK DOMESTIK BRUTO (PDB) DI INDONESIA Naila, Putri; Abbas, Tarmizi; Abubakar, Jariah
Jurnal Ekonomi Regional Unimal Vol. 6 No. 2 (2023): Jurnal Ekonomi Regional Unimal
Publisher : LPPM UNIMAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jeru.v6i2.14586

Abstract

This research aims to determine the influence of Exports, Investment and the Human Development Index (HDI) on Gross Domestic Product (GDP) in Indonesia in 1993 - 2022. This research uses secondary data in the form of a time series for 30 years. This research uses the Autoregressive Distributed Lag (ARDL) test analysis method. The results of this research show that in the short term the export variable has a positive and significant effect, and in the long term exports has a positive and insignificant effect on GDP in Indonesia. In the short term, investment variables have a positive and significant effect, as well as in the long term, investment has a positive and significant effect on GDP in Indonesia. In the short term HDI has a negative and significant effect, and in the long term HDI has a negative and insignificant effect on GDP in Indonesia. It is hoped that the Government can increase GDP by improving people's welfare, so that it can have an impact on people's ability to carry out production which can ultimately be exported to other countries. 
Mitigating Religious Radicalism and Polarization through the Integration of Artificial Intelligence (AI), Internet of Things (IoT), Blockchain and Cognitive Science Iqbal, Muhammad; Zahraini, Zahraini; Ilmi, Hayatul; Mutasar, Mutasar; Naila, Putri; Marra, Ezio
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 1 (2026): February
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i1.551

Abstract

Education have shifted into digital environments, where algorithm-driven platforms intensify extremist discourse and weaken tolerance among students. Previous studies highlight the limitations of conventional deradicalization programs, which rely on offline seminars or punitive measures and fail to address the digital and cognitive mechanisms of radicalization. To address this gap, this study investigates whether integrating Artificial Intelligence (AI), Internet of Things (IoT), blockchain, and cognitive science can provide an effective and ethical counter-radicalization framework for universities. Guided by the hypothesis that a multidisciplinary approach combining technological detection with cognitive restructuring yields measurable psychosocial impact, a Research and Development (R&D) design was applied across six stages, involving students, faculty mentors, and expert validators in Aceh, Indonesia. The AI–NLP module, fine-tuned with local data, achieved high accuracy (precision 0.94; recall 0.89), while CBT-based cognitive microlearning increased tolerance scores by 28% (p < 0.01) and reduced risky online interactions by 40%. Findings demonstrate that integrating disruptive technologies with cognitive-behavioral methods produces both technical and attitudinal benefits. The study contributes theoretically to technology-mediated deradicalization and practically to policy-driven curriculum design, with implications for cross-cultural scalability and longitudinal research..