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AMPLITUDO: Journal of Science & Technology Innovation
Published by Balai Publikasi Indonesia
ISSN : 28306171     EISSN : 28306902     DOI : https://doi.org/10.56566/amplitudo
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture
AMPLITUDO: Journal of Science & Technology Innovation is a scholarly, online international journal that aims to publish peer-reviewed original research result-oriented papers in the fields of science, technology, and Innovative Technology. Submitted papers will be reviewed by the technical committees of the Journal. All submitted articles should report original, previously unpublished research results, and will be peer-reviewed. Articles submitted to the journal should meet these criteria and must not be under consideration for publication elsewhere. Manuscripts should follow the style of the journal and are subject to both review and editing. AMPLITUDO is steered by a distinguished Board of Directors, Researchers, and Academicians and is supported by an international review board consisting of prominent individuals representing many well-known universities, colleges, and the corporate world.
Arjuna Subject : Umum - Umum
Articles 15 Documents
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Search results for , issue "Vol. 5 No. 1 (2026): February" : 15 Documents clear
Optimization of Polypropylene-Modified Asphalt Mixtures for Enhanced Road Durability in Tropical Regions: Advancing Sustainable Infrastructure Development Aligned with SDG 9 and SDG 12 Rafii, Ahmad; Isah, Sani; Balcerzak, Adam; Ibrahim, Rashidah Mohammad; Nasution, Bincar
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.v5i1.533

Abstract

Road pavements in tropical regions experience accelerated deterioration due to high temperatures; intense rainfall; and high humidity; necessitating innovative solutions that address both infrastructure durability and environmental sustainability. This experimental study evaluates asphalt mixtures modified with polypropylene (PP) plastic waste to enhance performance under tropical climate conditions. Laboratory samples containing 0% (control); 4%; 6%; and 8% PP by binder weight were subjected to Marshall stability; penetration; accelerated aging (Rolling Thin Film Oven Test and ultraviolet radiation); and moisture susceptibility testing. Results demonstrate that 6% PP incorporation yielded optimal performance; with Marshall stability increasing to 14.5 kN (22% improvement over control); penetration decreasing to 58 dmm (18% reduction); and post-aging stability retention of 85%. Moisture conditioning tests revealed reduced stability loss at 13.8% compared to 24.4% for control mixtures; indicating enhanced moisture resistance. Economic analysis confirms cost savings of approximately 30% when substituting recycled PP waste for conventional polymer modifiers such as SBS. These findings identify 6% PP as the optimal dosage for tropical asphalt applications; demonstrating the technical and economic feasibility of circular material approaches in infrastructure engineering.
Systematic Analysis of Quality-of-Service Optimization Strategies in Software-Defined Network Environments Muhib, Muqamuddin; Sridevi, R
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.v5i1.547

Abstract

Software-Defined Networking (SDN) heralds the future of networks with its programmability, centralized control, and flexibility that could easily surpass traditional networks in managing Quality-of-Service (QoS). This literature review, adhering to PRISMA 2020 guidelines, selects 62 studies from 1,142 initially found and published between 2016 and mid-2025, all of them peer-reviewed articles and obtained from four databases, IEEE Xplore, Scopus, Web of Science, and ScienceDirect. The review highlights six chief SDN-based research QoS enhancement methods: the machine, deep, and reinforcement learning methods; dynamic queuing and scheduling; controller positioning and load balancing; policy- or intent-based frameworks; telemetry-based closed-loop control; and combined SDN and legacy integration. The majority of the studies explore both data and control planes simultaneously. Improved performance parameters such as latency, throughput, jitter, and packet loss have been reported in the outcome, however, these results mostly come from small-scale testbeds, simulations, and synthetic workloads with very limited real-world deployment, security evaluation, energy assessment, or hardware-based validation. In any case, SDN is still considered to be an option for carrier-grade QoS optimization but its operational suitability is still not clear. Future research should focus on reproducible, realistic, and operationally grounded assessments to close the gap between theoretical promise and large-scale industrial implementation
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..
Outlier Identification Techniques in Daily Rainfall Data Sudirman, Sudirman; Irfan, Muhammad; Supari, Supari; Musta, Baba; Dzakiya, Nurul
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.v5i1.554

Abstract

A quality test was conducted on daily rainfall data in the Sumatra region to select good data. The data used came from 19 observation stations belonging to the Meteorology, Climatology, and Geophysics Agency (BMKG) spread across the Aceh-Lampung provinces from early 1985 to late 2023. The quality test aims to ensure data reliability, consistency, and validity. Daily rainfall data often face issues such as missing data, unrealistic extreme values, and recording discrepancies, which can reduce the accuracy of climate analysis. The quality test examined data completeness and outliers using the interquartile range. The quality test results showed a data completeness level of 93%, thus declaring the data valid. Outliers were identified in small amounts (<1%) for very high rainfall intensity at the Minangkabau meteorological station in West Sumatra (470 mm/day), the Bengkulu climatological station (400 mm/day), the FL Tobing meteorological station in North Sumatra (430 mm/day), the Fatmawati Soekarno meteorological station in Bengkulu (390 mm/day), the West Sumatra climatological station (320 mm/day), the South Sumatra climatological station (230 mm/day), and the Radin Intan II meteorological station in Lampung (265 mm/day). These values ​​were not removed from the analysis because they passed the data quality test and represented meteorologically realistic extreme rainfall events. The results of the evaluation of daily rainfall data in Sumatra during the study were representative and reliable enough to be used in further climatological analysis.
Design and Techno-Economic Evaluation of a Solar Photovoltaic Groundwater Pumping System for Irrigation and Rural Water Supply in Punjab, India Zurhalki, Muhammad; Hassan, Najib; Prasetiadi, Andika; Wang, Xinhui; Saha, Joydip; Wahyono, Nanang Dwi
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.v5i1.603

Abstract

Diesel-powered groundwater pumping remains common in Indian agriculture, contributing to high fuel use, costs, and greenhouse gas emissions. With rising irrigation demand and groundwater stress, an accelerated transition to low-emission irrigation technologies is increasingly urgent. This study assesses the technical and economic feasibility of replacing diesel-powered pumping with a solar photovoltaic (PV) system in Punjab, India. A 10 kWp PV system was found to reliably meet irrigation demand for one hectare of paddy cultivation and typical domestic water needs under seasonal variability. Life Cycle Cost and Break-Even analyses over a 15-year horizon show substantially lower costs than diesel pumping, with a break-even point in the first year under a replacement scenario. The PV system also reduces operational emissions by approximately 4.6 t CO₂e per rice growing season, supporting sustainable irrigation transitions in groundwater-dependent regions

Page 2 of 2 | Total Record : 15

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