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Economic, Technological, and Environmental Feasibility of Green Hydrogen Adoption in Transportation: A Techno-Economic and Life Cycle Assessment Approach in Indonesia Silfia; Khitara Aldilla Chandra; Ayu Putri Ana; M Reza Alfikri
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.13443

Abstract

This research comprehensively evaluates the economic, technological, and environmental feasibility of green hydrogen adoption in Bogor City's transportation sector. Utilizing Techno-Economic Assessments (TEA), Life Cycle Assessment (LCA), and Scenario Modeling, the study compares centralized versus decentralized production pathways. TEA findings indicate that decentralized production is not financially viable, while centralized production with CCS technology shows positive financial potential, underscoring the role of economies of scale. LCA results confirm that green hydrogen offers significant emission reduction potential, up to 90% compared to fossil fuel alternatives, and produces zero emissions at the point of use, though high CCS costs remain a constraint. Scenario Modeling determined that Scenario 3 (high carbon tax, government subsidies, and reduced renewable energy prices) is the most effective pathway for accelerated adoption. Cost-Benefit Analysis (CBA) suggests that long-term non-economic benefits, such as improved public health and reduced air pollution, significantly outweigh high initial infrastructure costs. This study provides a novel, integrated assessment for a high-density urban context, advising policymakers to implement a higher carbon tax and subsidies to expedite the transition.
Integration of Portable NIRS Spectroscopy with the Internet of Things (IoT) for a Rice Quality Monitoring System in Storage Warehouses Ayu Putri Ana; Dwi Retno Mulyanti; M Reza Alfikri; Mahran Mawarid
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.14038

Abstract

Rapid and non-destructive monitoring of rice quality during storage is essential for supporting effective warehouse management. This study aims to develop and evaluate the integration of Portable Near-Infrared Spectroscopy (NIRS) with an Internet of Things (IoT) framework for real-time rice quality monitoring. A quantitative experimental approach was employed by acquiring NIRS spectra in the wavelength range of 740–1070 nm from fresh and aged rice samples. The spectral data were automatically transmitted via the IoT system to a centralized server for storage and analysis. Rice quality parameters, including moisture, fat, and protein content, were predicted using a Partial Least Squares Regression (PLS-R) model based on raw spectra without spectral pretreatment. The results indicate that the PLS-R model achieved good predictive performance for moisture and fat content, with validation correlation coefficients (R) ranging from 0.87 to 1.00 and Residual Predictive Deviation (RPD) values of 1.11–3.65 for moisture and 3.70–4.65 for fat in both fresh and aged rice samples. In contrast, protein prediction showed limited accuracy, particularly in fresh rice samples with an RPD value of 1.79. The IoT system primarily functioned as a real-time data acquisition and transmission platform, enabling integrated rice quality monitoring. Overall, the findings confirm that NIRS–IoT integration is feasible for monitoring rice quality based on moisture and fat content during storage.