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Siti Utari Rahayu
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Dept. of Physics, FMIPA, University of Sumatera Utara Jl. Bioteknologi No.1, Padang Bulan, Medan 20155
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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 132 Documents
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Delineation of Coal Identification Using Inversion Microtremor and Borehole at PT X Rahmawati, Nurul Ilmi; Refrizon, Refrizon; Kusuma, Budi Praba; Ansory, Andre Rahmat Al; Syah, M. Taufiqqurahman; Anggria, Della Cici; Triutami, Olga
Journal of Technomaterial Physics Vol. 6 No. 1 (2024): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v6i1.16077

Abstract

Coal is a natural resource composed of organic and inorganic materials. The potential of coal is one of the national and world resources. Microtremor method is a geophysical exploration method that utilises microseismic waves to identify the presence of hydrocarbons. Microtremor data processing is processed first using Geopsy software to obtain the H/V curve which will then be processed using Hv-Inv software to obtain the Vs value. Microtremor data is correlated with data from the borehole, the coal seam thickens to the southwest. Similarly, with the correlation results of other microtremor cross sections, the cross section shows that the coal seam is thickened and continuous to the west or southwest. This is further strengthened by the existence of boreholes as a correlation of coal Vs value data in the range of 613.37 m/s-887.70 m/s. Other constituent materials such as soil,claystone, sandstone, carboneseus. Based on the Vs value of the 1D model, it is known that the research area shows the distribution of coal at a depth of 53.5-76 metres. The coal layer in the study area is bituminous to sub-bituminous coal.
Distance Measurement of Low Reflectance Objects Using Indirect Time of Flight LiDAR Agitta Rianaris; Nofriha Rahmayani Siregar; Hari Pratomo; Surip Kartolo; Syahrul Humaidi; Dwi Hanto
Journal of Technomaterial Physics Vol. 6 No. 2 (2024): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v6i2.16988

Abstract

Remote sensing is a system that enables data collection without physical contact with the object or its environment. Light detection and Ranging (LiDAR) technology is increasingly important in various industries, particularly developing autonomous vehicles. In autonomous vehicle applications, LiDAR is expected to detect multiple objects from high and low reflectance to make it easy to recognize its surrounding area. We have designed a biaxial LiDAR range finder system based on indirect time of flight technology, which has been tested to measure the distance of an object with high reflectance. In this work, we employ the system to measure the distance of an object with low reflectance from High Impact PolySterene (HIPS). The results show that the systems can measure objects from HIPS up to 33 m, which is lower than when the system measures an object with high reflectance.
Characterization of Low-Density Polyethylene (LDPE) Thermoplastics with Rice Husk Ash Nanosilica Filler Synthesized Using the Coprecipitation Method Sahrinah, Erna Frida; Sahrinah
Journal of Technomaterial Physics Vol. 6 No. 2 (2024): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v6i2.17037

Abstract

LDPE thermoplastics have been made with rice husk ash nanosilica filler, which is synthesized using the coprecipitation method. The nanosynthesis of rice husk ash silica was carried out with HCl 2M and NaOH 2.5M solvents with a ratio of 1:3. The synthesized nanosilica was then characterized using XRD and obtained an average size of 23.09 nm. Based on the results of XRF characterization, it is known that there is 92.99% SiO2 and the most abundant element, namely Si, 43.47%. The composition of each LDPE/nanosilica rice husk silica was varied (100/0, 98/2, 96/4, 94/6, and 92/8 % by weight), and mechanical properties in the form of tensile strength, elongation at break, and modulus of elasticity were tested using ASTM D638 standard. The results of the mechanical test were obtained with the optimum tensile strength value in the composition (96/4% by weight) of 10.53 MPa, the optimal elongation value at the break in the composition (100/0% by weight) of 201.5%, and the optimum elastic modulus value in the composition (96/4% by weight) of 226.57 MPa. The addition of RICE HUSK SILICA nanosilica as a filler is proven to improve the mechanical properties of LDPE thermoplastic in terms of tensile strength and modulus of elasticity compared to LDPE without filler material (100/0% by weight).
Utilization of Bluetooth Module As An Additional Security of Arduino-Based Motorized Vehicles Kurnia Brahmana; Theresia Megarani
Journal of Technomaterial Physics Vol. 6 No. 2 (2024): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v6i2.17132

Abstract

The escalation in motorcycle ownership has paralleled a rise in theft incidents, challenging the efficacy of existing security measures. Despite the integration of standard security systems on motorcycles, the persistence of thefts underscores the need for innovative solutions. This study introduces a novel security device that leverages Bluetooth HC-05 technology and an ATmega328 microcontroller to address this issue. The proposed system transcends conventional security protocols by establishing a dynamic link between the motorcycle and its owner. An alarm is triggered when the distance between the paired Bluetooth devices exceeds a predefined threshold, signaling potential unauthorized movement. Moreover, the system is engineered to deactivate the motorcycle's ignition upon Bluetooth connectivity loss, immobilizing the engine and thwarting theft attempts. This advanced security mechanism enhances the protection of motorcycles by incorporating proximity-based alerts and automated engine shutdown features, offering a formidable deterrent against theft. The article delineates this security system's design, implementation, and potential impact, positioning it as a critical advancement in motorcycle anti-theft technology.
Comparative Analysis of Gasoline and Liquefied Petroleum Gas (LPG) on Motorcycle Engine Performance Yamin, Octo Muhammad; Nasution, Devi Maiya Sari; Noer, Zikri; Lubis, Hariyati; Sofie, Tengku Machdhalie
Journal of Technomaterial Physics Vol. 6 No. 2 (2024): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v6i2.18270

Abstract

This research aims to determine the efficiency of LPG fuel performance compared to gasoline in motorcycle engines. The research method involves a brake dynamometer test with engine speed variations of 2000 rpm, 2200 rpm, and 2500 rpm. Based on the results obtained, the exhaust gas temperature (°C) at an engine speed of 2000 rpm with gasoline is 148°C and 146°C, while with LPG, it is 107°C and 108°C. The fuel consumption rate (cc/min) at 2000 rpm is 15.8 cc/min, 16.2 cc/min with gasoline, and 9.36 cc/min with LPG. At 2200 rpm, the fuel consumption is 16.2 cc/min, 22.8 cc/min with gasoline, and 10.48 cc/min with LPG. At 2500 rpm, it is 20.2 cc/min, 19.4 cc/min with gasoline, and 14.40 cc/min with LPG. In terms of fuel consumption savings, using LPG as a fuel can significantly reduce fuel usage.
Enhancing the Crack Resistance of Polyester Resin Composites with Rice Husk Fiber Reinforcement Nusyirwan, Nusyirwan; Hijar, Yul; Malik, Adam
Journal of Technomaterial Physics Vol. 7 No. 1 (2025): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v7i1.18895

Abstract

Polymers have been widely developed as alternative materials to replace metal materials due to various advantages such as low density and an easy manufacturing process. Still, polymers have many disadvantages, including not having high mechanical strength, easy to crack when hit by impact. One of the materials studied is an unsaturated polyester polymer widely used for composite matrices in vehicle structural components, aircraft and ship bodies, and vehicle components. One of the studied fibers is rice husk particle fiber. The study of cracks is crucial because it causes the material to no longer be able to support the load according to the previous plan and causes failure to occur more quickly. One way to overcome material failure due to cracks in the composite material is to prevent crack propagation by adding reinforcing material. In this study, a composite material was made using rice husk fiber to increase the crack resistance of the polyester composite matrix. From the results of crack testing, there is a tendency to increase the percentage of rice husks by 5%, 10%, 15%, and 20%. The value expected to be obtained for determining the crack resistance of the material is the value of the stress intensity factor (K1). The largest K1 value was obtained at the variable percentage of rice husk 15% with MMA as much as 10% and MEKP 4% obtained a stress intensity factor of 1,558 MPa.m0.5; this value can increase the value of the stress intensity factor of pure polyester K1 by 0.667 MPa.m0.5 which shows an increase of 233.58%.
Effect of Bending Properties on the Impact Strength of Pineapple Leaf Fiber-Polyester Composites Jumiati, Ety; Hutauruk, Siti Aulia
Journal of Technomaterial Physics Vol. 7 No. 1 (2025): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v7i1.19522

Abstract

Raman Spectroscopic Analysis of Cu-Ag-In-S/CdSe Core/Shell Quantum Dots Grown on Mesoporous TiO2 Substrates Rahayu, Siti Utari; Candra, Andy
Journal of Technomaterial Physics Vol. 7 No. 1 (2025): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v7i1.19717

Abstract

This study investigates the structural and vibrational properties of Cu-Ag-In-S/CdSe core/shell quantum dots (QDs) grown on the mesoporous TiO2 (mp-TiO2) substrates using Raman spectroscopy and 3D Raman mapping.  The Raman spectra revealed distinct vibrational modes of AgInS2 and CdSe, compared to Cu-Ag-In-S, with a notable shift observed in the A1 mode (282.2 cm-1 to 260.8 cm-1), E and B2 modes (316.7 cm-1 to 326.4 cm-1), and an additional Cu-S mode (289.3 cm-1 to 283.4 cm-1). These shifts indicate significant interactions between the QDs and the substrate, as well as the presence of Cu and CdSe phases. 3D mapping provided spatial distribution data, showing enhanced Cu-incorporation and morphological variations across the substrates, with darker regions signifying Cu-enriched areas. The alterations in the Raman spectrum suggest a strong interaction between Cu-Ag-In-S and CdSe. The findings contribute to a deeper understanding of Cu-Ag-In-S/CdSe QDs, highlighting their potential to optoelectronic application.   
Comparison of Artificial Neural Network Models for Rainfall Prediction in Palu City Arya Zaki Ramadhan; Febby Debora Abigael; Muhammad Fany Nur Wibowo
Journal of Technomaterial Physics Vol. 7 No. 1 (2025): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v7i1.19757

Abstract

Rainfall prediction is crucial to support natural disaster mitigation and water resource management, especially in areas like Palu City with dynamic rainfall patterns. This study evaluated the performance of three Artificial Neural Network (ANN) models with different architectures to identify the most accurate model in predicting rainfall in 2023. To obtain the model, the historical data of nine meteorological parameters in Palu City from 2018 to 2022 was processed using the Python programming language through pre-processing, processing, post-processing, and verification stages. All three models obtained are designed with hidden layers and different nodes. The best model obtained was Model A with one hidden layer, 8 nodes, and a MAPE value of 9.42%, putting it in the excellent category. Meanwhile, Model B and Model C are in a suitable category with MAPE values of 14.43% and 10.23%. The challenge of using the ANN method in predicting rainfall is its tendency to equalize extreme rain. Therefore, complete data is needed to improve ANN performance.
An In-depth Study of Relation Between Band Gap Energy and Lattice Constant for Cubic Phase LiSnX3 (X = F, Cl, Br, and I) Perosvkite Ong, Russell; Sagala, Junaina Sahputri; Rahayu, Siti Utari
Journal of Technomaterial Physics Vol. 7 No. 1 (2025): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v7i1.19772

Abstract

Organic perovskites or inorganic perovskites are very popular among researchers who are designing the most efficient perovskite solar cells. Besides, they can be used as materials for other optoelectronic applications, such as light-emitting diodes. In this paper, we reported the results of studies on the electronic property of LiSnX3 (X = F, Cl, Br, or I) perovskite in the cubic phase. This electronic property is the density of states, which one can determine the band gap energy value. These studies were undertaken to understand the relation between their band gap energy and lattice constant through anion X variations. The Quantum ESPRESSO program calculated These two crucial quantities with norm-conserving Troullier-Martins pseudopotentials and Generalized Gradient Approximation Perdew-Burke-Enzerhof exchange-correlation functional. The computation results show that the band gap energy ranged from 0,3 eV to 0,99 eV while the lattice constant ranged from 6,183 Å to 4,625 Å for anion halide from I till F, respectively. The contrast trend between these quantities' values matches the Kronig-Penney Model.

Page 12 of 14 | Total Record : 132

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