cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hamidi
Contact Email
admin@balaipublikasi.id
Phone
+6281936732708
Journal Mail Official
hamidi@unram.ac.id
Editorial Address
Claster Granada DJ 15 Perumahan Grand Lingkar Mataram, Nusa Tenggara Barat
Location
Kota mataram,
Nusa tenggara barat
INDONESIA
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 All submitted articles should report original, previously unpublished research results, and will be peer-reviewed.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
 1   2 
Search results for , issue "Vol. 5 No. 1 (2026): February" : 15 Documents clear
Students’ and Lecturers’ Needs in the Design of the NanoPintar E-Module for Cell Biology Courses through Multiple Intelligences Susanti, Diana; Desa, Shakinaz
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.v5i1.491

Abstract

Cell Biology is a crucial yet challenging subject in which students often struggle with abstract concepts, particularly cell organelles, a difficulty exacerbated by traditional teaching methods that utilize static materials, which yield inadequate results, especially among students with limited visual-spatial abilities. This research investigated the preliminary needs of both students and lecturers for the development of the NanoPintar e-module using diverse data collection methods, including questionnaires, interviews, student visualization tests, and multiple intelligence assessments. The results indicated very low scores in student visualization and multiple intelligence tests; however, interview and questionnaire outcomes strongly confirmed that both students and lecturers require a NanoPintar e-module for the Cell Biology course, identifying the Endoplasmic Reticulum material as the most difficult topic and thus highly suitable for the development of the e-module
A Hybrid Ensemble Framework for Probabilistic Earthquake Forecasting in Northern California in Support of SDG 11: Sustainable and Resilient Cities Madlazim, Madlazim; Musta, Baba; Doyan, Aris; Susilo, Adi; Rehman, Khaista
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.v5i1.496

Abstract

Forecasting earthquakes is still one of the most difficult problems in geophysics, mainly because seismic activity is irregular and often influenced by many factors that interact in complex ways. In this study, we develop a leakage-controlled hybrid ensemble model that combines CatBoost, LightGBM, XGBoost, and Gradient Boosting to predict five earthquake parameters: magnitude, depth, latitude, longitude, and a scaled inter-event interval in Northern California. These models were trained using USGS earthquake data ranging from 1900 to 2025 (M ≥ 4.0), with a process designed to prevent time leakage through strict time separation, a moving window feature, and prospective validation. Overall, the hybrid models produced consistently low MAE and RMSE values ​​and very high R² values ​​(above 0.99) for all target variables. While the estimates performed impressively, the results should be interpreted in a probabilistic context, with recognition of the inherent uncertainty of seismic processes. The framework proposed here provides a clear and replicable approach that can support the development of systems for more reliable short-term earthquake forecasting
Teachers' Readiness and Perceptions of Augmented Reality for Sustainable STEM Education Sukmawati, Wati; Maarif, Samsul; Burhendi, Feli Cianda Adrin; Kadir, Kadzrina Abdul; Jamaludin, Norzalila Binti; Shaari, Hasnizam; Adlawan, Hendely A.
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.v5i1.505

Abstract

This study explores teachers' readiness and perceptions regarding the integration of Augmented Reality (AR) in STEM education. The research, conducted with 250 teachers from Indonesia and Malaysia, uses an explanatory survey design and Structural Equation Modeling (SEM) to analyze a framework combining Teacher Readiness, the Technology Acceptance Model (TAM), and Deep Learning Orientation. The results reveal that Teacher Readiness significantly influences Perceived Ease of Use (β = 0.48) and Perceived Usefulness (β = 0.42), which in turn affect Attitude Toward Use (β = 0.31) and Behavioral Intention (β = 0.52). Behavioral intention strongly predicts Deep Learning Orientation (β = 0.57). The model explains 56% of the variance in Behavioral Intention and 32% in Deep Learning Orientation. Multi-group analysis shows that these findings are consistent across countries, genders, education levels, and age groups, demonstrating the robustness and generalizability of the model. This research highlights the importance of teacher readiness in adopting AR technology, which fosters deeper learning in STEM education
Investigation of AR and VR Technologies in Plant Physiology Education: Assessment of Student Motivation and Preliminary Comprehension Afza, Aulia; Susanti, Diana; Nursyahra, Nursyahra; Devegi, Mourend; Supriatno, Bambang; Riandi, Riandi; Meriko, Lince
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.v5i1.508

Abstract

Plant Physiology Education often faces challenges in visualizing complex internal and conceptual processes, such as photosynthesis, transpiration, and mineral nutrition. Traditional teaching methods often fail to motivate students and facilitate in-depth understanding. Investigation of AR and VR Technologies in Plant Physiology Education. This study employed a quantitative methodology with a descriptive design and correlational analysis, involving 50 students who completed a questionnaire regarding their motivation and comprehension of interactive digital books utilizing Augmented Reality (AR) and Virtual Reality (VR). The findings indicated a substantial enhancement in students' motivation and comprehension following the utilization of this technology. The Pearson correlation test indicated a positive link between students' motivation and comprehension, with a significance level of p-value <0.01. The t-test further validated a significant disparity in students' motivation and comprehension when utilizing AR and VR. This technology facilitates a more dynamic and immersive learning experience, aiding students in comprehending complex principles of plant physiology that are challenging to grasp through traditional techniques. This study advocates for the utilization of augmented reality (AR) and virtual reality (VR) technologies to enhance the quality of education in biology, particularly in the area of plant physiology
Development and Usability Perceptions of Spectral Crime Analysis Network Game with Augmented Reality for Ultraviolet-Visible Light Spectroscopy Hussain, Abbas Ali Iftikhar; Kamari, Azlan; Syamsudin, Frendi Ihwan; Harahap, Lenni Khotimah; Saputro, Sulistyo; Wiyarsi, Antuni; Sukkaew, Adulsman
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.v5i1.517

Abstract

The Spectral Crime Analysis Network (SCAN) game was developed using the ADDIE model, used a hybrid augmented reality embedded game-based learning approach and aligned with the learning standards of ultraviolet–visible (UV–Vis) spectroscopy. This game is developed as a learning and reinforcement tool in analytical chemistry instrumentation for undergraduate chemistry students. Based on a survey study conducted on 265 respondents, it was found that the SCAN game demonstrated high usability with mean scores of 3.49 (SD = 0.489) for usefulness, 3.49 (SD = 0.474) for ease of use, 3.48 (SD = 0.504) for ease of learning and 3.53 (SD = 0.476) for satisfaction. Overall, SCAN supports cooperative, technology-enhanced game-based learning, fostering greater interactivity and engagement in chemistry education. This innovation is aligned with the United Nations' Sustainable Development Goal number 4 (SDG4), which is quality education that utilises technology and interactive 21st-century learning.
Fostering Quality Education (SDG 4): Transforming QR Codes from 'Scanning' to 'Scaffolding' to Enhance Pre-Service Teachers' Critical Thinking Ibrahim, Ibrahim; Nurwahidah, Nurwahidah; Suranti, Ni Made Yeni; Alimuddin, Nurkhaerat; Bahtiar, Bahtiar; Maimun, Maimun; Faresta, Rangga Alif; Karim, Ismit Hi; Setiawan, Trisno
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.v5i1.523

Abstract

This study addresses the "pedagogical digital gap" by proposing a shift from using technology for content delivery ("scanning") to cognitive support ("scaffolding"). It investigates the effectiveness of a QR-Code Integrated Inquiry model on pre-service primary teachers' critical thinking skills. Employing a quasi-experimental design with 60 participants, data were analyzed using ANCOVA. Findings revealed a highly significant difference () between groups. The experimental group achieved a notably higher adjusted mean (57.43) compared to the control group (34.88), with a massive effect size (). The intervention successfully reduced extraneous cognitive load, facilitating deep reasoning consistently across genders and science topics. The study concludes that re-engineering simple technology as scaffolding creates a robust, inclusive learning ecosystem for teacher education
Green Artificial intelligence Foundations, Applications, and Pathways to Sustainable Development Hakimi, Musawer; Tarashtwal, Omid; Ghafory, Hamayoon
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.v5i1.524

Abstract

The fast evolution of artificial intelligence (AI) systems has worried people about their environmental impact thus prompting the rise of Green AI. In the present systematic review, we are going through the 32 articles published in peer-reviewed journals that were analyzed based on PRISMA standards regarding the conceptual bases, applications, and the future of Green AI. The review identified three paradigms: Green AI (computational efficiency), Sustainable AI (holistic socio-technical responsibility), and AI for Green (AI applied to sustainability challenges). A large part of the resources that would be used for the environments, monitoring, agriculture, and smart city applications can be saved by 15-30% through Green AI. The main difficulties are performance and efficiency balancing, limiting budget, and a research mentality that values precision more than sustainability. The research points out the dual function of AI in environmental matters as that of polluter and of a device for making the planet greener through humane practices and technologies. To sustainable AI, efficient algorithm design, regulatory support, the establishment of carbon-aware metrics, and collaboration among different disciplines to create the adoption of AI that is both economical and ethical are needed
A Comparative Study of Gadobutrol Relaxivity at 3 Tesla for Sustainable Contrast Management and Standardized Phantom Calibration Ha’, Maheran Che; Kamal, Izdihar; Kechik, Mohd Mustafa Awang; Sayuti, Khairil Amir; Mohammed, Yusri; Karim, Muhammad Khalis Abdul; Doyan, Aris
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.v5i1.527

Abstract

This study aimed to characterize the relaxivity profiles of pure agarose and gadobutrol in 1% (w/v) agarose under two experimental conditions (within the air and tap-water immersion). T1 and T2 values were quantified at 3 Tesla, Siemens, Vida scanner using inversion recovery turbo spin echo (IR-TSE) for T1 and multi-echo turbo spin echo (ME-TSE) for T2. Different concentration of agarose (0.2 – 4.0% w/v) and gadobutrol (0.5 – 6.0 mM) and their T1 and T2 value for each concentration were measured. Pure agarose demonstrated low longitudinal relaxivity (r1 » 0.04 - 0.05 s-1.(%w/v)-1 vs. r1 » 2.97 - 3.52 s-1mM-1) and high transverse relaxivity (r2 » 5.00 - 6.34 s-1.(%w/v)-1 vs. r2 » 3.80 - 4.55 s-1mM-1) compared to gadobutrol. Agarose showed a very high r2/r1 ratio (129.4-160.0) than gadobutrol (1.28-1.29), reflecting stronger gel-matrix effects on transverse dephasing than on longitudinal recovery. Tap-water immersion had shortened T1 by »9% relative to air, without significantly increasing variability. These findings provide relaxivity values for agarose and gadobutrol under well-defined conditions and illustrate how their complementary relaxation behavior can tune T1 and T2 values over a wide range to create customizable MRI calibration phantom for research and clinical use
Development of Local Wisdom-Based Digital Teaching Materials to Enhance Cultural Literacy and Character: A Needs Analysis Siska, Felia; Melia, Yenni; Junaidi, Satrio; Saadoon, Abather Rahi
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.v5i1.529

Abstract

Digital transformation in education has not been optimally utilized to enhance students’ cultural literacy and character development in junior high school Social Studies (IPS). The limited availability of digital learning materials integrating local wisdom has contributed to weak cultural literacy and insufficient character education. This study aims to analyze the need for developing local wisdom-based digital learning materials to improve students’ cultural literacy and character in Social Studies learning in Sijunjung Regency. Using a Research and Development approach with the Borg and Gall model, data were collected through Focus Group Discussions, questionnaires, interviews, and observations involving 10 Social Studies teachers and 153 students from six junior high schools. The findings indicate that Social Studies learning remains largely textbook-centered, with minimal integration of local culture. While 88% of students show interest in digital-based learning, only 34% are familiar with the Marosok tradition, and 90% of teachers have not used culturally integrated digital materials. These results reveal a gap in cultural literacy and highlight the need for contextual digital learning materials that integrate Social Studies content with local values
Gamma Radiation Effects on SAC305 Lead-Free Solder for Space and Nuclear Electronics: XRD and Microstructural Evolution Hanifah, Muhamad Mukhzani Muhamad; Ismail, Norliza; Amat, Azuraida; Ahmad, Nurazlin; Rosman, Muhammad Nur Hisyam; Paulus, Wilfred; Susilawati, Susilawati; Yusoff, Wan Yusmawati Wan
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.v5i1.531

Abstract

This study examines how gamma radiation (0–50,000 Gy) affects SAC305 (Sn‑3.0Ag‑0.5Cu) solder. Solder joints were irradiated using a Co‑60 source. Structural changes were evaluated by X‑ray diffraction and microstructural evolution were observed with optical microscopy after etching. XRD of β‑Sn reflections indicates smaller crystallite size with dose, together with higher lattice strain and greater dislocation density, consistent with crystal‑level alteration under irradiation. Microstructure observations show coarsening of β‑Sn grains and thickening of the Cu₆Sn₅ intermetallic (IMC) layer at the Cu/solder interface as dose increases. These outcomes reveal a two‑scale response: nanoscale coherent domains refine due to defect formation and accumulation, while microscale grains grow and the IMC layer thickens due to radiation‑enhanced diffusion, which increases atomic mobility. Recognizing that the system involves different length scales helps resolve the apparent contradiction between the decreasing crystallite size and the increasing grain size. Practically, the combined increases in lattice strain, dislocation density, and IMC thickness may reduce reliability and fatigue life of SAC305 solder joints in high‑radiation environments such as space and nuclear applications

Page 1 of 2 | Total Record : 15

 1   2 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Vol. 5 No. 1 (2026): February Vol. 4 No. 2 (2025): August Vol. 4 No. 1 (2025): February Vol. 3 No. 2 (2024): August Vol. 3 No. 1 (2024): February Vol. 2 No. 2 (2023): Agustus Vol. 2 No. 1 (2023): February Vol. 1 No. 2 (2022): August Vol. 1 No. 1 (2022): February