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Siti Utari Rahayu
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Journal of Technomaterial Physics
Published by TALENTA PUBLISHER
ISSN : 26560747     EISSN : 26560755     DOI : https://doi.org/10.32734/jotp
Core Subject : Science, Engineering,
Astronomy Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics
Journal of Technomaterial Physics (JoTP) is a peer-review national journal that is published twice a year, in February and August. JoTP provides an open access policy for the writer and free publication charge. Due to its open access policy, JoTP serves online publication and a fast review process. The scope of this journal are: 1. Theoretical Physics 2. Applied Physics 3. Material Physics 4. Computational Physics and Machine Learning 5. Experimental Physics 6. Nuclear Physics and Particle Physics 7. Biophysics and Medical Physics 8. Geophysics 9. Energy and Energy Conversion 10. Advanced Materials (photonics, nanomaterial and nanotechnology) 11. Electronics and Electrical Engineering 12. Metrology JoTP receives an original article with the maximal length of 10 pages and provides an open access policy for the writers and free publication charge.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 155 Documents
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Influence of Mode of Hydrothermal Treatment and Precursor State on Phase Formation and Crystallinity of Sodium Titanate Ervina Putri Wulandari; Zikri Noer; Martha Rianna; Syahrul Humaidi; Muhammad Abduh Akram Agus; Alya Nazwariva; Jihan Murtadha Rambe
Journal of Technomaterial Physics Vol. 8 No. 1 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i1.24729

Abstract

Sodium titanate was synthesized via a sol–gel-assisted hydrothermal method to study phase evolution and crystallinity under different hydrothermal treatment conditions and precursor compositions. Four processing routes were designed: continuous hydrothermal treatment (24 h), interrupted hydrothermal cycles (3 × 8 h), dried-gel hydrothermal treatment, and fresh-gel hydrothermal treatment. X-Ray Diffraction (XRD) was used to analyze the resulting crystal phases and crystallite sizes. Continuous treatment of fresh gel produced monoclinic Na₂Ti₆O₁₃ with small crystallites (12.4 nm), while interrupted processing increased crystallite size to 15.5 nm. Pre-drying of the sol–gel precursor prior to continuous hydrothermal treatment yielded well-defined Na₂Ti₆O₁₃ with enhanced crystallinity and larger crystallites (27.6 nm). In contrast, insufficient precursor stabilization redirected phase evolution toward monoclinic Na₂TiO₃ despite comparable crystallite size. The results demonstrate that the hydrothermal treatment mode primarily governs crystallite growth, whereas the precursor state controls phase selectivity. These findings provide a clear synthesis–structure relationship for tailoring sodium titanate materials.
Preparation and Characterization of Chitosan/Titanium Dioxide Film for Electrochemical Sensing Applications Astri Anjelina Nasution; Irwana Nainggolan; Andriayani Andriayani; Sagir Alva
Journal of Technomaterial Physics Vol. 8 No. 1 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i1.25063

Abstract

Chitosan/TiO₂-modified electrodes were characterized using the cyclic voltammetry method. The electrodes were fabricated through an electrodeposition technique to produce a coating on the substrate surface. TiO₂ concentrations of 50, 100, 150, 200, and 250 mg/L were used. The chemical structure and functional group interactions of the films were characterized using Fourier Transform Infrared (FTIR) spectroscopy, which revealed characteristic chitosan functional groups and Ti–O–Ti stretching bands, indicating the dispersion of TiO₂ within the chitosan matrix. The electrochemical performance of the electrodes was evaluated in phosphate-buffered saline (PBS) solution at pH 7. The results showed that the chitosan/TiO₂ concentration variation of 150 mg/L produced the highest anodic current response, while the optimum scan rate was obtained at 75 mV/s. A linear relationship between peak current and scan rate was obtained, with a regression equation of y = 0.0014x + 0.3788 and a coefficient of determination (R²) of 0.9869, indicating a strong linear correlation. Based on these results, the chitosan/TiO₂ material exhibited electrochemical responses with potential for further development in electrochemical sensing applications.
Analysis of Rock Layering Structure Using Shear Wave Velocity from HVSR Inversion Delpa Astuti; Refrizon Refrizon; Arif Ismul Hadi; Muhammad Najib Syami Muqtadir
Journal of Technomaterial Physics Vol. 8 No. 1 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i1.25203

Abstract

The Musi Ujan Mas Hydropower Plant (HPP) area in Kepahiang lies within an active tectonic zone influenced by the Sumatra Fault, making it prone to earthquakes. This study aims to analyze subsurface rock structures and seismic vulnerability using shear wave velocity derived from the Horizontal to Vertical Spectral Ratio (HVSR) inversion method with TerraWareHV software. Microtremor data were collected at 40 measurement points, each recorded for approximately 30 min. HVSR analysis was used to derive the dominant frequency ( ) and amplification factor ( ), which were subsequently used to generate shear wave velocity models . The results show that the  values range between 1.28 and 5.55 Hz, with most locations characterized by low frequencies associated with thick sediment layers and weak soil materials. The values vary between 2.99 and 16.86,  with higher amplification observed in areas composed of less compact lithology. The inversion results indicate noticeable variations in shear wave velocity with depth, suggesting heterogeneous subsurface conditions. The study area is predominantly composed of thick sediment layers with moderate to high amplification potential. These findings provide valuable insights into local site effects and support seismic hazard assessment and infrastructure development in the region.
Smart IoT-Based Feeding System with Solar Panel Integration as an Efficient Solution for Freshwater Fish Farming Mardiana; Idham Kamil; Tuti Adi Tama Nasution; Fera Damayanti; Al Qadry
Journal of Technomaterial Physics Vol. 8 No. 1 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i1.24851

Abstract

Freshwater aquaculture plays a crucial role in supporting food security and economic growth; however, manual feeding practices often lead to irregular schedules, inefficient feed utilization, and increased labor requirements. This study proposes an Internet of Things (IoT)-based automatic fish feeding system integrated with a solar energy supply to improve operational efficiency and sustainability. The system employs an ESP32 microcontroller, an ultrasonic sensor for feed level detection, and a servo motor as the feeding actuator. Remote monitoring and control are implemented through the Blynk application, enabling real-time scheduling and notification. The system is powered by a solar panel combined with battery storage to ensure continuous operation in outdoor aquaculture environments. Experimental results show that the system achieves a sensor error of 3.56%, a feeding delay of 2–4 seconds, and a response time of less than 2 seconds, indicating reliable real-time performance. The proposed system improves feeding accuracy, reduces feed waste, and minimizes labor dependency. In addition, integrating solar energy enhances system sustainability and enables deployment in off-grid aquaculture areas. Therefore, this system provides an efficient, reliable, and scalable solution for modern aquaculture management.
Development of an IoT-Based MAX30102 Optical Sensor Device to Analyze Oxygen Saturation and Heart Rate During Qur’an Recitation Muhammad Sontang Sihotang; Wahyu Imam Mulya
Journal of Technomaterial Physics Vol. 8 No. 1 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i1.24931

Abstract

Reading the Qur’an as an active spiritual vocalization activity can influence physiological responses, particularly oxygen saturation (SpO2) and heart rate. This study aims to design and evaluate a detection device to measure the effect of active Qur’an recitation on SpO2 and heart rate using a MAX30102 optical sensor integrated with an Internet of Things (IoT) system. The system consists of a MAX9814 sound sensor, ATmega328 microcontroller, RTC DS3231 module, microSD storage, LCD display, and real-time monitoring via the Blynk application. The experiment involved five healthy students (3 males and 2 females, aged 20–22 years) from the Diploma Program in Physics, Universitas Sumatera Utara. Measurements were conducted for five minutes under three conditions: before, during, and after Qur’an recitation. The results show a significant decrease in heart rate by 12.08% (p < 0.05) and a significant increase in oxygen saturation by 1.69% (p < 0.001) after recitation. The system achieved accuracy levels with 7.06% error for heart rate and 0.67% for SpO2. This study demonstrates the novelty of integrating optical sensing and IoT-based real-time monitoring to analyze physiological responses to active Qur’anic recitation.
Synthesis and Optical Characterization of N-Doped Carbon Dots Derived from Citric Acid Rahmadani Fitri; Marpongahtun; Saharman Gea
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.25359

Abstract

Carbon dots (CDs) derived from citric acid have gained significant attention because of their excellent photoluminescence properties and low toxicity. However, the optimization of nitrogen doping concentration to improve fluorescence efficiency remains insufficiently explored. In this study, CDs and nitrogen-doped carbon dots (N-CDs) were synthesized hydrothermally from citric acid using ethylenediamine (EDA) at concentrations of 5%, 10%, and 15% (v/v). The influence of EDA concentration on the optical properties and fluorescence efficiency of N-CDs was systematically investigated. FTIR analysis confirmed the presence of O–H/N–H, C=O, C–O, and C–N functional groups, indicating successful nitrogen incorporation into the carbon structure. UV–Vis spectra exhibited characteristic absorption peaks corresponding to π→π* and n→π* transitions, while PL analysis revealed blue emission in the range of 445–447 nm. Nitrogen doping enhanced fluorescence intensity and quantum yield through improved surface passivation and reduced non-radiative recombination. Among the synthesized samples, N-CDs with 10% EDA showed the highest quantum yield of 43.98%, indicating the optimum doping concentration. In contrast, excessive EDA addition at 15% slightly decreased optical performance because of possible defect formation and fluorescence quenching effects.
Analysis of ULF Geomagnetic Anomalies as Earthquake Precursor Indicators in Bengkulu Dama Rahma Sagita; Arif Ismul Hadi; Detalia Nurutami
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.25750

Abstract

Earthquake prediction remains an unresolved scientific challenge, motivating extensive efforts to identify physical phenomena that can serve as reliable precursors to seismic events. This study investigates Ultra Low Frequency (ULF) geomagnetic signal anomalies using the ratio of the vertical to horizontal geomagnetic field components (Z/H) as potential earthquake precursor indicators. In addition, the relationship between anomaly amplitude and earthquake characteristics is evaluated. The analysis utilizes geomagnetic H and Z component data recorded at the Kepahiang Geomagnetic Station (KPY), earthquake events with magnitudes greater than 4.5 that occurred in Bengkulu Province between May and December 2022, and the Disturbance Storm Time (Dst) index to distinguish seismogenic anomalies from geomagnetic storm effects. ULF anomalies were identified using the moving average and standard deviation of the Z/H ratio, followed by lead-time analysis, Dst-based validation, and linear regression to examine the relationship between anomaly amplitude and earthquake magnitude. The results show that most earthquake events were preceded by detectable ULF anomalies occurring 3–25 days before the mainshock. Furthermore, a positive linear relationship was observed between the Z/H anomaly amplitude and earthquake magnitude, although the correlation strength was relatively weak. These findings suggest that ULF geomagnetic anomalies derived from the Z/H ratio have potential as earthquake precursor indicators in Bengkulu Province, while further studies using longer observation periods and larger datasets are required to improve their reliability and predictive capability.
Design and Development of a Door Access Prototype Using a Voice Recognition and Password Module Based on the NodeMCU ESP32 Putri Nur Azmina; Nini Firmawati
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.25417

Abstract

Door access security is an important aspect of room protection systems, yet conventional locking methods still have limitations in preventing unauthorized access. This study designed and implemented a NodeMCU ESP32-based smart door prototype integrating voice recognition and password authentication to provide a dual-layer authentication mechanism for smart door access. The system consists of a NodeMCU ESP32 as the main controller, a voice recognition module for voice input, a keypad for password entry, a relay as an actuator, a solenoid door lock as the locking mechanism, and an LCD to display system status. The voice recognition module detects previously trained and stored voice commands to grant access, while unregistered voices are rejected automatically. The keypad password serves as a secondary layer of security. The system was evaluated based on voice recognition performance at different distances and environmental conditions, including quiet, normal, and rainy conditions. Experimental results show that the voice recognition module can detect voices effectively at distances up to 1,250 cm in quiet conditions, 400 cm in normal environments, and 100 cm in noisy or rainy conditions. Overall, the prototype successfully implemented a dual-security access mechanism combining voice recognition and password authentication, while providing additional real-time security monitoring through the integrated system.
Tribological and Corrosion Performance of Reduced Graphene Oxide and Nanochitosan Reinforced Silicone Oil Coatings on Metal Surfaces Ikhwanuddin; Yok Suprobo; Nurul Wahyuni; Markus Yando; Retno Sawitri Wulandari; Zikri Noer
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.25447

Abstract

Friction, wear, and corrosion critically affect the durability and reliability of metallic components in engineering and marine environments. Despite the established potential of reduced graphene oxide (rGO), nanochitosan, and silicone oil, their combined contribution within a multifunctional surface treatment remains insufficiently established. Here, an rGO/nanochitosan-reinforced silicone oil (PDMS) formulation was developed and assessed on aluminium and copper substrates through X-ray diffraction (XRD), surface roughness, coefficient of friction (CoF), wear rate, and corrosion rate measurements. XRD revealed rGO reflections at 2θ = 26.3° and 43.1° and nanochitosan reflections at 10.1° and 20.1°, with apparent crystallite sizes of 6.54–9.87 nm. The formulation containing 0.3 wt% rGO exhibited the most favorable response, lowering surface roughness, CoF, wear rate, and corrosion rate by approximately 40, 90, 86, and 90%, respectively, relative to uncoated surfaces. These findings establish a structure–performance relationship in the ternary rGO/nanochitosan/PDMS system, highlighting the role of optimized reinforcement content in achieving balanced tribological and corrosion resistance. The developed approach offers practical potential for metallic components operating under coupled mechanical and corrosive conditions.
Application of the Modified Benedict–Webb–Rubin Equation of State (EoS) for Predicting Hydrogen Gas Mass Production Siti Umira Nanda; Elin Yusibani; Gunawati; Zulfalina
Journal of Technomaterial Physics Vol. 8 No. 2 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i2.25358

Abstract

This study aims to predict hydrogen gas production using equations of state (EoS). It highlights the behaviour of real gases, which deviates from that of ideal gases under extreme conditions. The EoS considered are the ideal gas (PVT), Peng–Robinson (PR), and Modified Benedict–Webb–Rubin (MBWR) models. These models are used to compare predicted hydrogen gas production based on volume, pressure, and temperature parameters. The results indicate that at low temperatures and pressures, predictions from the ideal gas (PVT) and PR models are agree with experimental data. However, significant deviations occur at higher temperatures and pressures. Predictions using the MBWR equation show deviations up to 20% at 25 to 150 °C for pressure up to 20 MPa. The PVT and PR models exhibited deviations of up to 90%, Overall, the simulation demonstrates that the MBWR equation provides a higher accuracy compared to the other two models.

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