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Journal of Material Science and Radiation
Published by Balai Publikasi Indonesia
ISSN : -     EISSN : 31235379     DOI : https://doi.org/10.56566/jmsr
Core Subject : Science,
Materials Science & Nanotechnology Physics
Journal of Material Science and Radiation (JMSR) is an open-access, peer-reviewed scientific journal dedicated to the advancement of knowledge in the fields of materials science and radiation. The journal publishes original research articles, comprehensive scientific reviews, and concise scientific communications that are relevant and up to date. JMSR covers a wide range of topics related to material and radiation studies, and promotes interdisciplinary collaboration to support innovation and sustainable development in these fields. As an open-access journal, all articles published by JMSR are freely accessible to the academic community and the general public worldwide. This policy not only enhances the visibility and accessibility of research findings but also increases the scientific impact of each published work. Copyright of all articles is retained by the journal, while authors are granted a license to distribute their work for non-commercial purposes, provided that appropriate citation and attribution are given to the original publication in JMSR.
Arjuna Subject : Ilmu Material (semua kategori) - Ilmu Material (Lain-Lain)
Articles 28 Documents
 1   2   3 
Research Trends of Polymer Film for Radiation Radiotherapy: A Review Aris Doyan; Susilawati Susilawati; Syarful Annam; Muhammad Ikhsan; Nuraini Rachma Ardianti
Journal of Material Science and Radiation Vol. 2 No. 1 (2026)
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/jmsr.v2i1.690

Abstract

Polymer-based radiation dosimeters have attracted significant attention in recent years due to their capability to measure complex radiation dose distributions in radiotherapy applications. This study aims to analyze the research trends related to polymer film and polymer gel dosimetry used in radiotherapy through a systematic literature review and bibliometric analysis. The study employed the PRISMA methodology to systematically identify and select relevant publications from the Scopus and SINTA databases. A total of 30 articles published between 2018 and 2025 were included in the analysis. Bibliometric analysis was conducted using VOSviewer to examine publication trends, keyword co-occurrence networks, and research collaboration patterns. The results indicate a steady increase in research publications related to polymer dosimetry over the past decade. Keyword clustering analysis revealed several dominant research themes, including polymer gel dosimetry, radiation polymerization, dose distribution measurement, polymer film dosimeters, and nanoparticle-enhanced polymer materials. Among these topics, polymer gel dosimetry remains the most widely studied due to its capability to record three-dimensional radiation dose distributions. However, recent studies have increasingly explored polymer film dosimeters and nanocomposite materials to improve radiation sensitivity and dosimetric performance. Overall, the findings highlight the rapid development of polymer dosimetry technologies and their growing importance in modern radiotherapy quality assurance. Future research should focus on developing advanced polymer nanocomposites and integrating imaging-based dosimetry techniques to improve radiation dose measurement accuracy and clinical applicability.
A Modified Thermal Decomposition Approach for The Synthesis of Phase-Pure YBa₂Cu₃O₇−δ Superconductor Nur Athirah Che Dzul-Kifli; Nurul Zafirah Zakaria; Mohd Mustafa Awang Kechik; Chen Soo Kien; Lim Kean Pah; Abdul Halim Shaari; Muhammad Kashfi Shabdin; Aris Doyan; Yap Siew Hong; Nur Hidayah Mohd Hapipi
Journal of Material Science and Radiation Vol. 2 No. 1 (2026)
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/jmsr.v2i1.694

Abstract

High temperature superconductor of YBa2Cu3O7-δ (Y-123) has been synthesised using the modified thermal decomposition method (MTD). In this work, a pure Y-123 sample is produced using an acetate-based material as a precursor and sintered at 980 oC. The study on the phase formation, superconducting properties and microstructural characteristics of pure Y-123 was investigated using X-ray diffraction (XRD), four-point probe (4PP) and scanning electron microscopy (SEM) respectively. XRD analysis confirmed the formation of a single-phase orthorhombic Y-123 crystal structure with an orthorhombicity of 0.008, indicating high phase purity without detectable impurity phases. Electrical measurements revealed a sharp superconducting transition with a critical onset temperature, Tc-onset of 97.3. SEM observations showed plate-like grains with an average grain size of 2.25 µm and good grain connectivity. These results demonstrate that the modified thermal decomposition technique is an effective approach for producing phase-pure YBCO superconductors with excellent structural and superconducting properties, highlighting its potential for advanced superconducting applications
Predictive Modeling of Geohazards Using Artificial Intelligence: Earthquakes, Landslides, and Volcanic Risk Assessment Ahmad Fawad Faqiri; Nasrin Faqiri; Musawer Hakimi
Journal of Material Science and Radiation Vol. 2 No. 1 (2026)
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/jmsr.v2i1.706

Abstract

Geohazards such as earthquakes, landslides, and volcanic eruptions pose severe threats to human life and infrastructure, causing significant global losses every year. Existing hazard assessment methods are limited by single-hazard focus, high computational cost, sparse data integration, and poor real-time forecasting capabilities, which limit their operational use. This study aims to develop a unified artificial intelligence (AI) framework for multi-hazard forecasting by integrating convolutional neural networks (CNNs), long short-term memory (LSTM) models, random forest classifiers, and ensemble fusion techniques. A multi-source dataset consisting of seismic, geospatial, and geochemical data was processed using an 80/10/10 split train-validate-test, cross-validation, and spatial validation strategies. The results show strong performance, with earthquake classification AUC-ROC of 0.961, magnitude prediction RMSE of 0.23 Mw, landslide sensitivity AUC of 0.957, and volcanic classification accuracy of 91.2%, outperforming several state-of-the-art benchmarks. Ensemble fusion improved performance by 2.1–3.7% over individual models. The key contribution is a scalable ensemble-based AI framework that enables integrated multi-hazard forecasting on heterogeneous datasets. However, limitations include information heterogeneity and reduced cross-regional generalizability. The framework supports real-time early warning systems, disaster risk management, and land-use planning, especially in hazardous areas.
A Review: Research Trends on Development of a Sensor-Based Linear Motion Kit with Problem-Based Learning Model to Improve Problem-Solving and Critical Thinking Skills Susilawati Susilawati; Prapti Sedijani; Jaswadi Jaswadi; Syarful Annam
Journal of Material Science and Radiation Vol. 2 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/jmsr.v2i2.666

Abstract

This study aims to synthesize and map research trends related to the development of sensor-based linear motion kits integrated with a Problem-Based Learning (PBL) model to enhance students’ problem-solving and critical thinking skills in physics education. A Hybrid Systematic Literature Review (SLR) and Bibliometric Review was employed following PRISMA guidelines. Articles published between 2020 and 2026 were retrieved from Scopus and SINTA databases. After identification, screening, eligibility, and inclusion processes, 30 relevant studies were analyzed. Bibliometric techniques were used to identify publication trends, keyword co-occurrence, and thematic clusters, while qualitative synthesis examined pedagogical approaches and learning outcomes. The findings indicate a growing research interest in sensor-supported physics learning and PBL integration. Studies consistently report that sensor-based linear motion kits embedded in PBL environments effectively support real-time data interpretation, experimental reasoning, and collaborative inquiry, leading to significant improvements in problem-solving and critical thinking skills. However, gaps remain in the integration of low-cost, curriculum-aligned sensor kits and in long-term empirical validation. This review highlights the pedagogical potential of integrating sensor-based linear motion kits with PBL and provides evidence-based insights to guide future research and instructional design in physics education
Surface Morphology Evolution of Y-123 and Y-123+Sm Thin Films Before and After Post-Annealing Siew Hong Yap; Mohd Mustafa Awang Kechik; Nur Nabilah Mohd Yusuf; Arebat Ryad Alhadei Mohamed; Soo Kien Chen; Kean Pah Lim; Muhammad Kashfi Shabdin; Muhammad Khalis Abdul Karim; Nurhidayah Mohd Hapipi; Aris Doyan; Abdul Halim Shaari
Journal of Material Science and Radiation Vol. 2 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/jmsr.v2i2.695

Abstract

Thin film surface morphology strongly influences their superconducting properties. However, there remains a research gap in comparative studies on the surface morphology of YBa₂Cu₃O7-δ (Y-123) thin films with Sm nano-inclusions (Y-123+Sm) and the effects of post-annealing. Therefore, this study presents a comparative analysis of the surface morphology of pure Y-123 and Y-123+Sm superconducting thin films deposited by Pulsed Laser Deposition (PLD). The deposited films were post-annealed in flowing oxygen at 900 °C for 18 hours. Surface morphology observations using a Polarized Optical Microscope (POM) for both pure Y-123 and Y-123+Sm thin films before and after post-annealing reveal a reduction in pores and agglomerated grains, accompanied by a decrease in grain size. Further analysis using an Atomic Force Microscope (AFM) indicates that the pure Y-123 film exhibits a decrease in average surface height and surface roughness after post-annealing. Interestingly, compared with the film before post-annealing, the Y-123 thin film after post-annealing shows more hole-like features and volcano-like island growth structures, together with a reduction in island peak height from 377.2 nm to 170.5 nm. In contrast, Y-123+Sm thin films demonstrate a more desirable island growth morphology despite exhibiting a relatively rougher surface after post-annealing. Structural analysis of X-ray Diffraction (XRD) spectra indicates improved crystallinity for both Y-123 and Y-123+Sm thin films after post-annealing. These findings provide fundamental insights for the development of superconducting materials for future applications, such as quantum computing devices and power transmission technologies based on Y-123 superconductors
Gamma Irradiation Induced Surface Functionalization of Carbon Nanotubes Synthesized from Polyethylene Terephthalate (PET) Waste Nor Adnin Ezani Mohd Ezani; Mohd Hamzah Harun; Izzuddin Mohd Zaharuddin; Norfazlinayati Othman; Mahathir Mohamed; Mohd Sofian Alias; Mohd Faizal Abd Rahman; Khairil Nor Kamal Umar; Nurul Huda Mudri; Farah Fadzehah Hilmi; Khairul Azhar Abdul Halim; Rida Tajau
Journal of Material Science and Radiation Vol. 2 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/jmsr.v2i2.722

Abstract

Carbon nanotubes were synthesized by using chemical vapor deposition using polyethylene terephthalate (PET) waste. The CNTs that were produced were functionalized with organic acid namely benzoic acids from 0 up to 70 kGy using gamma irradiation. To determine the acid groups, acid base titration was utilized whereas transmission electron microscope was used to determine the morphology of the functionalized CNT and dispersion characteristic was carried out for pristine and functionalized CNTs. The results obtained show that gamma irradiation significantly induce acid functionalized CNT as compared to unirradiated acid functionalized CNT. This indicates the importance of radiation technique in functionalizing carbon nanomaterials which is feasible, green, clean and process-effective.
Tuning Hydrophobicity of Fluorinated Sol–Gel Coatings via Graphene Oxide Loading for Sustainable Surface Applications Norfazlinayati Othman; Mohd Hamzah Harun; Izzuddin Mohamad Zaharuddin; Nor Adnin Ezani Mohd Ezani; Mahathir Mohamed; Mohd Sofian Alias
Journal of Material Science and Radiation Vol. 2 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/jmsr.v2i2.723

Abstract

Thin fluorinated silica-based sol–gel films incorporating graphene oxide (GO) (0 – 1.0 wt.%) were synthesized to investigate their surface wettability and optical properties. The films were prepared via a sol–gel route and characterized using contact angle measurements, UV–Vis spectroscopy, and atomic force microscopy (AFM). Although GO is intrinsically hydrophilic, the water contacts angle (WCA) increased from 109◦ to 125◦, with the highest WCA at 1.0 wt.% GO. This enhancement is attributed to the formation of hierarchical surface roughness, as confirmed by AFM, which dominates over the intrinsic hydrophilicity of GO in accordance with Wenzel/Cassie–Baxter wetting behavior. UV–Vis analysis showed that the films retained high optical transparency, with transmittance of above 90% at 400 – 800 nm, although a slight decrease was observed with increasing GO loading due to light scattering effects. These findings demonstrate that controlled incorporation of GO can enhance surface functionality without significantly compromising transparency, highlighting the potential of fluorinated sol–gel coatings for advanced protective and self-cleaning applications
Eco-Friendly Radiation Curable Acrylate Coatings Reinforced with Functionalized Carbon Nanotubes for Antimicrobial Application Nur Zetty Amirah Kadri; Mohd Hamzah Harun; Izzuddin Mohd Zaharuddin; Nor Adnin Ezani Mohd Ezani; Norfazlinayati Othman; Mahathir Mohamed; Mohd Sofian Alias; Mohd Faizal Abd Rahman; Khairil Nor Kamal Umar; Nurul Huda Mudri
Journal of Material Science and Radiation Vol. 2 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/jmsr.v2i2.724

Abstract

This study presents the development of high-performance radiation curable acrylate coatings reinforced with functionalized carbon nanotubes (F-CNTs) synthesized from waste plastic bottles by chemical vapor deposition method for antimicrobial applications. Epoxy and polyurethane acrylate resins (Ebecryl 600 and Ebecryl 210) were formulated with varying F-CNT loadings (0.05–0.70 wt%) and subjected to different ultraviolet (UV) curing exposure by varying UV exposure. Fourier Transform Infrared (FTIR) analysis confirmed successful photopolymerization through the reduction of acrylate functional groups and formation of a crosslinked network. Thermogravimetric analysis (TGA) demonstrated enhanced thermal stability and increased char residue at higher F-CNT concentrations (0.70 wt%), attributed to the barrier effect of nanotubes with the expense of crosslinking density due to the shading effect of F-CNTs. Antimicrobial study using E. coli revealed a significant reduction in bacterial viability, achieving near-complete inhibition within 24 h of exposure. The results highlight that optimal F-CNT dispersion is critical, as potential excessive loading can hinder curing efficiency due to agglomeration. Overall, this work demonstrates a sustainable and effective strategy for developing multifunctional coatings with enhanced durability and antimicrobial performance for healthcare and industrial applications

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