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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 All submitted articles should report original, previously unpublished research results, and will be peer-reviewed.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 120 Documents
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Optimization of Polypropylene-Modified Asphalt Mixtures for Enhanced Road Durability in Tropical Regions: Advancing Sustainable Infrastructure Development Aligned with SDG 9 and SDG 12 Ahmad Rafii; Sani Isah; Adam Balcerzak; Rashidah Mohammad Ibrahim; Bincar Nasution
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 Muqamuddin Muhib; R Sridevi
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 Muhammad Iqbal; Zahraini Zahraini; Hayatul Ilmi; Mutasar Mutasar; Putri Naila; Ezio Marra
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; Muhammad Irfan; Supari Supari; Baba Musta; Nurul Dzakiya
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 Muhammad Zurhalki; Najib Hassan; Andika Prasetiadi; Xinhui Wang; Joydip Saha; Nanang Dwi Wahyono
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
Developing an IoT-Based Smart Soil Analyzer to Support Sustainable Agriculture and Contextual STEM Learning in Organic Chemistry Yulia Dewi Puspitasari; Matsun Matsun; Hendrik Pratama; Wahyu Saputra; Tri Wahyuni Maduretno; Muhammad Shohibul Ihsan; Zaqueu António Freitas
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i2.550

Abstract

Organic chemistry is often taught in abstract concepts, especially on topics related to soil organic matter, nutrient transformation, and the nitrogen cycle. This study aims to develop and validate an IoT-supported Smart Soil Analysis to support contextual STEM-based learning in organic chemistry. This research uses a Research and Development approach with a 4D model, limited to the defining, designing, and developing stages. The prototype was revised based on feedback from six subject matter experts, six media experts, and six evaluation experts prior to limited testing. Validity was measured using the Content Validity Index (CVI), resulting in average CVI scores of 0.88 (content), 0.91 (media), and 0.90 (evaluation), indicating high validity. A limited trial involving nine science education students showed an overall practicality score of 3.6 out of 4.0. This device integrates real-time measurements of soil pH, nitrogen (N), phosphorus (P), potassium (K), and electrical conductivity, allowing students to analyze organic matter decomposition, nutrient availability, and fertilization recommendations within a project-based STEM framework. The research results show that the Smart Soil Analyzer is a valid and practical learning medium that effectively connects organic chemistry concepts with real-world agricultural contexts.
Science Teachers' Perceptions on Integrating Sustainability Education into STEM-Based Deep Learning Hunaepi Hunaepi; Ketut Suma; Putu Budi Adnyana; Desak Made Citrawathi; Ebenezer Omolafe Babalola; Franklin Calaminos; Baiq Fatmawati
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i2.566

Abstract

This study examined junior high school science teachers’ perceptions of integrating sustainability education into STEM-based deep learning in West Nusa Tenggara (NTB), Indonesia. A quantitative cross-sectional survey design was employed involving 45 science teachers selected through purposive sampling. Data were collected using a five-point Likert-scale questionnaire consisting of 15 items measuring five constructs: perceived relevance, pedagogical self-efficacy, institutional support, perceived barriers, and implementation intention. The instrument demonstrated satisfactory reliability (Cronbach’s alpha = .87). Descriptive analysis showed that perceived relevance was rated very highly (M = 4.32, SD = 0.51), whereas institutional support was moderate (M = 3.21, SD = 0.71). Teachers reported high pedagogical self-efficacy (M = 3.85, SD = 0.62), high perceived barriers (M = 3.67, SD = 0.58), and very high implementation intention (M = 4.05, SD = 0.56). Sixty percent of the teachers had not attended STEM or sustainability-related professional development programs. Spearman’s rho analysis indicated that pedagogical self-efficacy (r = .52), perceived relevance (r = .48), and institutional support (r = .47) were positively associated with implementation intention, whereas perceived barriers were negatively associated with implementation intention (r = −.39). The findings highlight the importance of strengthening institutional support and sustained professional development to facilitate the integration of sustainability education into STEM-based deep learning
STEAM in Science Education: the Role of Art in Enhancing 21st Century Skills for Interdisciplinary Learning Izzatin Kamala; Insih Wilujeng; Slamet Suyanto
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i2.579

Abstract

The integration of art in STEM (STEAM) is increasingly important for 21st-century learning. Nevertheless, its implementation in the science education sector remains underexplored. This paper explores the implementation of STEAM in science education, the role of art, and its contribution to developing 21st-century skills for students. This study employed a systematic review of 19 articles selected from the Scopus database based on predetermined inclusion and exclusion criteria. The publication period of the articles was constrained from January 2020 to April 2025. The data processing stage employed the PRISMA flowchart as a methodological framework. The analysis revealed that STEAM implementation in science education promotes active, collaborative, contextual, and meaningful learning through inquiry-based learning (IBL) and project-based learning (PBL). The integration of art contributes not only to aesthetic enrichment but also to students’ motivation, creativity, self-expression, efficacy, and collaboration. Overall, the findings suggest that STEAM serves as a transformative and interdisciplinary approach that effectively supports the development of students’ 21st-century skills, including critical thinking, communication, collaboration, creativity, digital literacy, social and citizenship awareness, thereby contributing to the advancement of interdisciplinary learning.
Analysis of Crystalline Structure and Phase of PLA-OPEFB-Based Biocomposite Filaments for 3D Printing Handika Dany Rahmayanti; Novitri Hastuti; Nurul Akmalia; Riri Murniati; Lala Hucadinota Ainul Amri
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i2.591

Abstract

The development of biomaterial-based filaments has become a strategic approach to promoting sustainability in additive manufacturing technologies. This study aims to analyze the crystalline structure and phase behavior of polylactic acid (PLA)-based biocomposite filaments reinforced with Oil Palm Empty Fruit Bunch (OPEFB) cellulose as an environmentally friendly filler for fused deposition modeling (FDM) applications. The biocomposite filaments were fabricated via an extrusion process using PLA as the polymer matrix and OPEFB cellulose in the form of microfibrillated cellulose, with composition variations of 0, 2, 10, and 30 wt.%. Extrusion was conducted at a processing temperature of 135 °C and a screw speed of 840, under controlled conditions to ensure stable filament formation and uniform diameter. The crystalline structure and phase characteristics of the filaments were characterized using X-ray Diffraction (XRD). The XRD results reveal that all filament compositions retain the primary crystalline phase of PLA, indicating that the incorporation of OPEFB cellulose does not alter the fundamental crystal structure of the polymer matrix. However, increasing OPEFB content leads to a reduction in diffraction peak intensity and a corresponding increase in the amorphous phase contribution, indicating a decrease in the degree of crystallinity of PLA. This reduction becomes more pronounced at OPEFB contents of 10 wt.% and 30 wt.% due to restricted molecular chain mobility caused by the presence of cellulose as a reinforcing filler. Overall, the findings demonstrate that OPEFB cellulose influences the crystalline structure of PLA filaments in a progressive manner without inducing the formation of new crystalline phases. Filaments with low to moderate OPEFB contents exhibit the most favorable balance between crystalline and amorphous structures, highlighting their potential as sustainable filament materials for 3D printing applications
Prioritizing Sustainability Criteria for Food-Processing SMIs Using Bayesian Best-Worst Method toward the Sustainable Development Goals Dzilalin Najmi; Andes Ismayana; Nastiti Siswi Indrasti; Maulana Paldia Samil; Aman Ahmed Kuniyil; Muamar Kadafin
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i2.592

Abstract

Small and medium industries (SMIs) in the food-processing sector play an important role in supporting local economic development but face various challenges in achieving sustainable development. This study aims to identify and prioritize key sustainability criteria for the development of food-processing SMIs using Bayesian Best Worst method within an extended triple bottom line framework. The framework integrates economic, social, environmental, and technology dimensions to capture the multidimensional aspects of sustainability. Expert judgments were collected from relevant stakeholders and analyzed using the Bayesian Best–Worst Method (BWM) to determine the relative importance of sustainability criteria. The results indicate that operational and institutional performance, hygiene and production sanitation, and human resource competence are the most influential criteria in supporting sustainable SMI development. At the sub-criteria level, compliance with food safety and halal standards, maintenance and hygiene of production equipment, and the use of digital promotion and payment systems emerge as the most critical factors. These findings provide a structured understanding of sustainability priorities and offer a useful reference for policymakers and practitioners in promoting sustainable development of food-processing SMIs

Page 10 of 12 | Total Record : 120

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