cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Herri Trilaksana, S.Si, M.Si, Ph.D
Contact Email
herri-t@fst.unair.ac.id
Phone
+6282142563056
Journal Mail Official
iapl@journal.unair.ac.id
Editorial Address
Physics Department, Faculty of Science and Technology, Airlangga University, Kampus C Mulyorejo, Surabaya, 60115
Location
Kota surabaya,
Jawa timur
INDONESIA
Indonesian Applied Physics Letters
Published by Universitas Airlangga
ISSN : -     EISSN : 27453502     DOI : http://dx.doi.org/10.20473/iapl.v1i2.23444
Core Subject : Science, Engineering,
Chemical Engineering, Chemistry & Bioengineering Electrical & Electronics Engineering Materials Science & Nanotechnology Physics
Indonesian Applied Physics Letter is an multi-disciplinary international journal which publishes high quality scientific and engineering papers on all aspects of research in the area of applied physics and wide practical application of achieved results. The field of IAPL, which can be described as encounter of material science, theoretical science, computational, instrumentation, biomedical, geophysics and applied physics, has become distinguishable integrated discipline of research-based endeavor.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 59 Documents
 2   3   4   5   6 
Fuzzy-Based Adaptive Switching Time Determination for VRLA Batteries Based on Discharge–Recovery Characteristics Soelistiono , Soegianto; Rahmadani, Muhammad Azzam
Indonesian Applied Physics Letters Vol. 6 No. 2 (2025): Indonesian Applied Physics Letters - December 2025
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v6i2.84886

Abstract

Valve Regulated Lead-Acid (VRLA) batteries are widely used in energy storage systems due to their reliability and low cost; however, their energy utilization is strongly affected by discharge patterns and recovery behavior. Recent studies have shown that dynamic battery switching can improve extractable energy compared to static configurations, yet the switching time is commonly treated as a fixed parameter, despite experimental evidence indicating that the optimal switching interval depends on battery capacity and operating conditions. This paper proposes a fuzzy-based framework for adaptive switching time determination in VRLA battery systems, where switching duration is treated as an explicit control variable inferred from discharge–recovery characteristics. Key indicators, including voltage drop rate, voltage recovery magnitude, and relative internal resistance, are incorporated as inputs to a Mamdani-type fuzzy inference system, while the switching time is defined as the fuzzy output. The proposed approach enables adaptive adjustment of switching duration without relying on detailed electrochemical models. Simulation-based analysis is conducted to qualitatively evaluate the behavior of the proposed method in comparison with fixed switching strategies. The results demonstrate that fuzzy-based adaptive switching produces smoother switching time evolution and more stable voltage trends, indicating improved utilization of discharge–recovery dynamics. This study establishes a conceptual foundation for adaptive switching time control and provides a basis for future experimental validation and real-time implementation in intelligent battery management systems.
Physical Characterization in the Fabrication of Taper Structured Fiber Optic Sensors Parastuti, Frazna; Hikmawati, Dyah; Trilaksana, Herri
Indonesian Applied Physics Letters Vol. 6 No. 2 (2025): Indonesian Applied Physics Letters - December 2025
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v6i2.84887

Abstract

In a fiber optic sensor with a taper structure, the sensor geometry is the main parameter that can affect the sensitivity of the sensor. Fiber taper fabrication is carried out using the pulling and heating method continuously and simultaneously. Based on this fabrication process, the optical fiber is pulled using an autograph until it enters the plastic deformation area. Mechanical properties analysis showed that the optical fiber had a stress of 50.24 MPa and an elastic modulus of 2.17 GPa. It was also found that the optical fiber experienced elongation up to 10.90%. The results of the digital microscope test showed that the taper process succeeded in reducing the diameter of the optical fiber by 19.77%. The optical power test shown in the form of output voltage proves that the taper process causes many evanescent waves to come out of the waveguide so that the voltage decreases up to 46.40%. Besides the ease of processing, the advantage of fabrication using this method is that the mechanical properties are measured in real-time, making this method reproducible on a mass scale.
CHARACTERIZATION SCAFFOLD 3D-PRINTING PLA WITH HYDROXYAPATITE-CHITOSAN-AgNPs COATING TO TREAT MANDIBULAR OSTEOMYELITIS Malini, Mirza Hema; Hanan, Annisa; Ady, Jan; Aminatun
Indonesian Applied Physics Letters Vol. 6 No. 2 (2025): Indonesian Applied Physics Letters - December 2025
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v6i2.84889

Abstract

Osteomyelitis The mandible can cause pathological fractures of the bones and interfere with the function of the mandible, so it is necessary to perform resection for the removal of the infected part. As a result of resection, it is necessary to carry out mandibular reconstruction using Scaffold. The study aims to discuss the effect of PLA surface modification with HA-Chitosan-AgNPs coating on morphological structure, porosity, compressive strength, hydrophilicity properties and antibacterial properties and determine the best sample variation from the characterization carried out. Scaffold made from PLA 3D-printing material using the Fused Deposition Modelling (FDM). The variation in composition (wt%) of hydroxyapatite-chitosan-AgNPs used as coatings was A (100:0:0), B (90:10:0), C (90:7:3), D (90:5:5), E (90:3:7), and F (90:0:10). The results obtained are Scaffold PLA with HA-chitosan-AgNPs coating has pores interconnected with rough surface walls. The porosity value varies between 40%-53%. HA-Kitosan-AgNPs as a surface modification are also able to increase compressive strength, antibacterial properties, and hydrophilicity Scaffold The PLA with the best sample variation is indicated by sample D (90:5:5). Based on these results, it shows that Scaffold PLA with HA-Kitosan-AgNPs coating is potentially used as a mandibular reconstruction.
Integrative Machine Learning for Optimizing Brushless DC Motor Discharge in Horizontal Photovoltaic Systems Yuspian, Galang Perwiradhani; Yhuwana, Yhosep Gita Yhun
Indonesian Applied Physics Letters Vol. 6 No. 2 (2025): Indonesian Applied Physics Letters - December 2025
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v6i2.84890

Abstract

This study explores the integration of machine learning to optimize the discharge of Brushless DC (BLDC) motors in horizontal photovoltaic (PV) systems, designed to maximize solar radiation capture with the assistance of Maximum Power Point Tracking (MPPT) technology to enhance battery charging efficiency. Using the Random Forest algorithm, the research develops a predictive model to analyze the relationship between PV input power, battery status, and BLDC motor speed, achieving power classification accuracy of 74% and speed prediction with an R-squared value of 0.9124 and low error rates. System testing, which includes PV modules, batteries, BLDC motors, and MPPT, demonstrates successful integration under various operational conditions, while a PyQt5-based interface enhances user accessibility through interactive features. The findings make a significant contribution to renewable energy management, support electric vehicle efficiency, extend operational range, and reduce environmental impact.
SYNTHESIS AND CHARACTERIZATION OF HYDROXYAPATITE/POLYLACTIC ACID/COLLAGEN NANOFIBROUS SCAFFOLDS FOR BONE REGENERATION Silvia Resa Pratama; Aminatun; Ersyzario Edo Yunata; Che Azurahanim Che Abdullah
Indonesian Applied Physics Letters Vol. 7 No. 1 (2026): Indonesian Applied Physics Letters - June 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v7i1.94212

Abstract

Bone defects caused by accidents, trauma, congenital abnormalities, and metabolic disorders remain a significant clinical challenge requiring effective therapeutic strategies. This study aimed to develop electrospun nanofibrous bone scaffolds based on hydroxyapatite (HA), polylactic acid (PLA), and collagen as potential candidates for bone tissue engineering by mimicking the structure of the extracellular matrix (ECM). The scaffolds were fabricated using the electrospinning technique with various HA–PLA–collagen compositions and characterized through FTIR, SEM, porosity analysis, degradation testing, mechanical property evaluation, and cytotoxicity assessment using the MTT assay. FTIR analysis indicated the absence of new chemical bond formation among the constituent materials, suggesting that the scaffold components were physically integrated. The optimal scaffold composition was obtained at an HA/PLA/collagen ratio of 50:30:20 (wt%), exhibiting an average fiber diameter of 856 ± 210 nm, porosity of 88.31%, degradation rate of 0.0238% h⁻¹, ultimate tensile strength of 1.435 ± 0.197 MPa, elastic modulus of 6.828 ± 1.037 MPa, elongation at break of 21.6%, and cell viability of 80.888%. These findings demonstrate that the HA/PLA/collagen scaffold possesses favorable physicochemical, mechanical, and biological properties, highlighting its potential as a bone scaffold for supporting and accelerating the bone remodeling process.
STROKE CLASSIFICATION IN NON-CONTRAST CT SCAN IMAGES USING THE VISION TRANSFORMER (ViT) METHOD Alfian Pramudita Putra; Valen Febrianti; Osmalina Nur Rahma; Khusnul Ain; Neimy Novitasari
Indonesian Applied Physics Letters Vol. 7 No. 1 (2026): Indonesian Applied Physics Letters - June 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v7i1.94224

Abstract

Stroke is a cerebrovascular disorder that can cause tissue damage, disability, and death. Early diagnosis is important in stroke management, particularly in the acute phase. Non-contrast CT scan (NCCT) is a widely available imaging modality, but its images often show subtle findings that are difficult to identify visually. This study aims to develop a stroke classification model on NCCT images using the Vision Transformer (ViT) method, analyze the effect of skull removal preprocessing on classification results, and evaluate model performance. The data were obtained from the Acute Ischemic Stroke Detection (AISD) dataset, consisting of non-contrast CT scan sclices images from normal (without lesion) and ischemic stroke (with lesion) classes. The research method included data collection, image preprocessing using two scenarios, namely without skull removal and with skull removal, CLAHE and resize implementation, data augmentation, dataset splitting, ViT model training, and evaluation. The results showed that non-pre-trained ViT-Large model on this dataset reached a best performance of 66.53%, with an average of around 65%. These results indicate that the model is capable of learning basic stroke patterns quite well but still has limitations in generalization due to the limited amount of training data. This finding is reinforced by the results of a comparative test using a transfer-learning-based ViT model with pre-trained ImageNet weights, which was able to increase accuracy to 85.96%. Thus, the Vision Transformer method has the potential for high accuracy in supporting stroke diagnosis, but its performance is highly dependent on the availability of large amounts of training data
Exploration of the Potential of 3D-Printed PLA Coated with Hydroxyapatite-Gelatin for Dual Applications in Bone Tissue Engineering and Multi-Layer Cigarette Filters Nadia Septiana Wulandari; Dyah Hikmawati; Aminatun; Frazna Parastuti
Indonesian Applied Physics Letters Vol. 7 No. 1 (2026): Indonesian Applied Physics Letters - June 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v7i1.94232

Abstract

This study investigated the effect of hydroxyapatite–gelatin (HAp–gelatin) coating composition on the physicochemical properties of electrospun-coated 3D-printed polylactic acid (PLA) scaffolds for bone tissue engineering and potential applications as multi-layer cigarette filters. PLA scaffolds were fabricated via Fused Deposition Modelling (FDM) with a rhombitruncated cuboctahedron geometry (strut size: 0.8 mm). Five HAp–gelatin compositions (10:90, 20:80, 30:70, 40:60, and 50:50 %wt) were electrospun at 19 kV, a collector distance of 15 cm, and a flow rate of 0.90 mL/h. The 50:50 formulation failed to produce continuous fibers owing to excessive HAp agglomeration and insufficient gelatin chain entanglement; therefore, only the 10:90–40:60 %wt formulations were characterized by SEM-EDX, FTIR, porosity measurement, water contact angle, and in vitro degradation testing. Electrospinning transformed the smooth PLA surface into a homogeneous nanofibrous layer with fiber diameters of 322.13–469.10 nm. EDX confirmed the presence of C, N, O, P, and Ca, while FTIR verified gelatin amide and HAp phosphate groups without altering the PLA substrate chemistry. Coated scaffolds maintained favorable porosity (58.63–59.19%), exhibited improved hydrophilicity with contact angles decreasing from 90.17° to 59.59–79.41°, and demonstrated controlled degradation behavior over 21 days. Among all formulations, the 40:60 (%wt) HAp–gelatin composition achieved the most balanced performance in fiber homogeneity, hydrophilicity, porosity preservation, and degradation control. The combination of nanoscale fiber architecture, preserved porosity, enhanced wettability, and adsorption-active functional groups makes this formulation the most promising candidate for trabecular bone tissue engineering applications. Furthermore, these physicochemical characteristics indicate potential applicability as a future multi-layer cigarette filter material by facilitating particulate capture and interaction with smoke toxicants. However, direct smoke filtration studies are required to validate filtration performance. Overall, the developed HAp–gelatin coated PLA scaffold demonstrates promising potential for both biomedical and environmental applications.
Performance-Target-Oriented PID Tuning Using Extreme Learning Machine for Peristaltic Pump in Automated Peritoneal Dialysis Roshied Mohammad; Riries Rulaningtyas; Amila Sofiah; Franky Chandra; Inten Firdhausi Wardhani
Indonesian Applied Physics Letters Vol. 7 No. 1 (2026): Indonesian Applied Physics Letters - June 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v7i1.94235

Abstract

Automated Peritoneal Dialysis (APD) requires accurate dialysate flow regulation to ensure stable fluid transfer during fill and drain phases. Flow instability may prolong transfer processes and potentially reduce effective dwell time. This study proposes a performance-target-oriented Proportional-Integral-Derivative (PID) tuning framework based on Extreme Learning Machine (ELM) for APD peristaltic pump flow-rate control. A multi-domain simulation model was developed by integrating a DC motor actuator model and a lumped-parameter fluid dynamic model of a roller-type peristaltic pump in MATLAB/Simulink. The ELM model was trained using simulation-generated data to map desired response-performance parameters, including rise time, settling time, percent overshoot, and Integral Time Absolute Error (ITAE), into PID gains. The proposed method was evaluated under five target-performance scenarios and compared with the conventional Ziegler–Nichols tuning method. The balanced-focus ELM configuration achieved the most suitable overall response, with rise time of 0.1382 s, settling time of 1.8860 s, percent overshoot of 17.6694%, ITAE of 78.1001, and steady-state error of 0.0162. Compared with Ziegler–Nichols, the proposed method reduced overshoot by 74.87%, settling time by 55.46%, ITAE by 83.04%, and steady-state error by 96.11%. These results indicate that ELM-based PID tuning can improve APD flow-control stability and tracking accuracy under ideal simulation conditions for APD
Data-Driven Discovery of Calcium--Phosphate Biomaterial Scaffolds Using Materials Informatics and Machine Learning Clustering Soegianto Soelistiono; Mohd Kamarulzaki Mustafa
Indonesian Applied Physics Letters Vol. 7 No. 1 (2026): Indonesian Applied Physics Letters - June 2026
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v7i1.94237

Abstract

The discovery of biomaterial scaffolds for bone tissue engineering remains challenging due to the vast compositional space and the limitations of conventional experimental approaches. In this study, a data-driven and AI-assisted framework is developed to identify promising calcium--phosphate biomaterial candidates using materials informatics. A total of 508 compounds were retrieved from a computational materials database and systematically screened based on thermodynamic stability, density, and electronic properties, resulting in 129 biomaterial-relevant candidates. An initial multi-parameter scoring model combined with unsupervised learning techniques reveals that electronic properties, particularly band gap, strongly influence material differentiation. However, this dominance introduces descriptor bias, potentially limiting the physical realism of the screening results. To address this limitation, a balanced multi-objective scoring model is introduced, incorporating density, formation energy, and energy above hull to achieve a more physically meaningful evaluation. The refined model consistently identifies Ca3(PO4)2 as a top candidate, in agreement with its well-established role in bone tissue engineering, thereby providing validation of the proposed approach. Comparative analysis between the initial and balanced models reveals significant ranking shifts, demonstrating that descriptor balancing substantially affects material prioritization. Furthermore, a trade-off is observed between clustering separability and physical interpretability, highlighting the limitations of purely statistical evaluation metrics in materials screening. Overall, this study demonstrates that integrating materials informatics with machine learning enables efficient and scalable biomaterial discovery. More importantly, it shows that correcting descriptor bias through multi-objective balancing is essential for achieving reliable and physically meaningful results. The proposed framework provides a reproducible pathway for identifying next-generation scaffold materials for biomedical applications.

Page 6 of 6 | Total Record : 59

 2   3   4   5   6 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol. 7 No. 1 (2026): Indonesian Applied Physics Letters - June 2026 Vol. 6 No. 2 (2025): Indonesian Applied Physics Letters - December 2025 Vol. 6 No. 1 (2025): Indonesian Applied Physics Letters - June 2025 Vol. 5 No. 2 (2024): Indonesian Applied Physics Letters - December 2024 Vol. 5 No. 1 (2024): Indonesian Applied Physics Letters - June 2024 Vol. 4 No. 1 (2023): Indonesian Applied Physics Letters - June 2023 Vol. 3 No. 2 (2022): Indonesian Applied Physics Letters - December 2022 Vol. 3 No. 1 (2022): Indonesian Applied Physics Letters - June 2022 Vol. 2 No. 2 (2021): Indonesian Applied Physics Letters - December 2021 Vol. 2 No. 1 (2021): Indonesian Applied Physics Letters - June 2021 Vol. 1 No. 2 (2020): Indonesian Applied Physics Letters - Desember 2020 Vol. 1 No. 1 (2020): Indonesian Applied Physics Letters - June 2020 More Issue