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Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics
Published by Universitas Islam Negeri Syarif Hidayatullah Jakarta
ISSN : 26210215     EISSN : 2621489X     DOI : -
Core Subject : Science, Engineering,
Earth & Planetary Sciences Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics is a journal of physics that published by Departement of Physics, Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta. The aim of the journal is to disseminate the researches done by researchers both from Indonesian and overseas. This journal focused on physics field including Materials Sciences, Geophysics, Instrumentation Physics, and Theoretical Physics. AL-FIZIYA is also dedicated to preserving the transmission of knowledge of science. The journal welcomes contributions from scholars around the world in the physics field, both in English and Bahasa.
Arjuna Subject : -
Articles 154 Documents
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PREDICTIVE DECONVOLUTION BASED ON SEISMIC WAVEFORM DIAGNOSTICS FOR ENHANCED MARINE IMAGING RESOLUTION Fahmi, Muhammad; Syamputra, Dhani Nur Indra; Raharjo, Wiji; Sari, Tri Wulan; Nafian, Muhammad
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.8, N
Publisher : Physics Study Programme, Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v8i1.48064

Abstract

Short-period multiples are a persistent problem in marine seismic processing, particularly in shallow-water environments where near-surface reverberations interfere with primary reflections and decrease temporal resolution. Predictive deconvolution remains a widely used method for attenuating such coherent noise. However, conventional implementations often apply fixed operator parameters, limiting their adaptability to waveform variations across time and offset. This study introduces a predictive deconvolution framework guided by seismic waveform diagnostics, in which operator parameters specifically prediction lag and filter length are selected based on trace characteristics such as waveform periodicity and spectral energy distribution. The approach is designed to improve multiple suppression while preserving the fidelity of primary reflections on a 2D marine pre-stack seismic dataset acquired in a shallow offshore setting characterized by strong short-period multiples and limited bandwidth. The results demonstrate around 25% increase in frequency bandwidth, improved reflector continuity, and reduced coherent noise in pre-stack gathers. Compared to conventional deconvolution, the waveform informed design achieves a more effective balance between attenuation and resolution. The proposed approach is applicable to modern marine datasets where high-resolution imaging is limited by near-surface interference.
Analysis of Geothermal Potential Using Gravity Method in Way Ratai Area, Pesawaran Regency, Lampung Adelia, Putri; -, Suwondo; Martha, Agustya Adi; Franzisca, Tiara Grace
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.6, N
Publisher : Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v6i2.34659

Abstract

Way Ratai, Pesawaran is one of the areas in Lampung that has a surface manifestation, in the form of geothermal potential. Based on data from the Directorate of Geothermal in 2017, Way Ratai has a potential of more than 330 MW with the manifestation of hot springs and hot steam. This study aimed to determine the distribution of subsurface density of Mount Way Ratai, Pesawaran, Lampung region by using ggmplus satellite gravity data. Based on fault analysis method and 2D forward modeling in Oasis Montaj software. The results showed that the geothermal area of Way Ratai identified 2 types of faults, namely reverse faults and normal fault. Based on the results of forward modeling, subsurface density of Way Ratai area, Lampung offering can be identified at a density of 1.2 gr/cc suspected alteration rocks in the form of clay minerals, density of 1.55 gr/cc suspected sand gravel, density of 1.6 gr/cc suspected Tuff rocks, density of 2.3 gr/cc suspected breccia rocks and conglomerates, density 2.6 gr/cc suspected schist and chert, and density 2.99 gr/cc suspected basalt rocks.
Ammonia (NH3) Gas Control System in Chicken Coops Using Fuzzy Logic Based Internet of Things (IoT) Method Supriadi, Khasbianta; Hartono, Ambran Hartono; Putri, Salsabila Tahta Hirani; Fakhrurraja, Hanif
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.6, N
Publisher : Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v6i2.34757

Abstract

Chicken productivity increases every year, resulting in air pollution in the form of NH3 generated by chicken waste, which is felt by the residents living around the chicken coop. The purpose of this research is to design an ammonia gas control system using Matlab, with the ammonia gas sensor MQ-135 and the humidity sensor DHT11 as parameters, to minimize the ammonia gas levels. This system operates by transmitting information about the condition of ammonia gas levels using a fuzzy logic control system as the technical decision-making mechanism for driving the exhaust fan based on data from the DHT11 and MQ-135 sensors. In this research, the fuzzy logic method was employed to determine the membership functions for the DHT11 sensor (dry, moist, wet) and MQ-135 sensor (normal, moderate, high), resulting in decisions of safe, moderate, and dangerous levels. The data is monitored on a platform through the Blynk app and Thingspeak, thus connecting the Internet of Things (IoT) to the internet network using the NodeMCU ESP8266 as the microcontroller. This research yields an ammonia gas control system that effectively manages air quality affected by chicken waste, with sensor accuracy levels exceeding 97%.
ANALYSIS OF LANDSLIDE POTENTIAL IN GUNUNG OMEH SUB-DISTRICK LIMA PULUH KOTA REGENCY USING HVSR METHOD Nabilla, Agma; Syafriani, Syafriani
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.6, N
Publisher : Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v6i2.35996

Abstract

On BPBD Lima Puluh Kota designated Gunung Omeh Sub-district as a disaster-prone area due to the detected potential of moving soil. This mobile soil causes gaps in the soil with the potential to continue to move at any time and is exacerbated by unstable soil conditions that cause the risk of landslides. Therefore, there is a need for research in Gunung Omeh sub-district on landslide potential. This research aims to analyse the landslide potential in Gunung Omeh sub-district. Data collection is limited to 9 measurement points using a set of Sysmatrack MAE seismograph sensor type S3S. The data generated is in the form of seismic wave signals which are then processed with the HVSR method using Geopsy software to produce H/V curves with parameters A0 and f0. From these two parameters, the values of soil susceptibility index (Kg) and ground shear strain (γg) are obtained. The results showed that the susceptibility index ranged from 0.26 x 10-6 s2/cm to 16.34 x 10-6 s2/cm and ground shear strain ranged from 1.32 x 10-4 to 2.15 x 10-6. Thus, the highest landslide potential is found at point 6 with the highest susceptibility index of 16.34994479 and ground shear strain of 1.32x10¬4. 
Comparison of Kirchhoff Migration and Reverse Time Migration in the Time Domain: Case Study of Field "Y" North West Java Basin Moefti, Omar; Haris, Abdul
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.6, N
Publisher : Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v6i2.36356

Abstract

This study evaluates and compares two seismic migration methods, namely Kirchhoff Migration and Reverse Time Migration (RTM), using 2D seismic data in the North West Java Basin. The main objective of the research is to investigate the relative performance of the two methods in restoring the position of reflectors that have undergone distortion due to the propagation phenomenon of seismic waves. The study involves a detailed analysis and comparison of these methods in terms of accuracy and computational time efficiency. The results show that the Kirchhoff Migration method achieves high accuracy in handling reflectors with significant dip angles. Additionally, this method also demonstrates good computational time efficiency. On the other hand, Reverse Time Migration, although recognized as a sophisticated approach, shows less satisfactory results under the conditions of this study, highlighting its dependence on data complexity and velocity model optimality. This research provides important insights for the appropriate selection of migration methods based on geological characteristics and existing seismic data. Kirchhoff Migration emerges as a superior choice, especially for regions with geological complexity and high dip angles. In conclusion, the selection of migration methods should carefully consider the specific characteristics of the relevant region to achieve optimal results.
The Effects of Tempering and Cooling Media on The Strength of Hadfield Steel Sukmayanti, Putri; Tjahjono, Arif; Paristiawan, Permana Andi
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.6, N
Publisher : Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v6i2.36379

Abstract

Hadfield steel is a steel known for its good toughness, but it often experiences damage due to excessive loads. In this study, an analysis of the heat treatment process was conducted on Hadfield steel to enhance its strength through homogenization at a temperature of 850°C and tempering at 600°C with a holding time of 30 minutes, followed by a rolling process with a 20% reduction. The data analysis results indicate that the sample cooled using water as the cooling media produced the most optimum strength. This is evident from its tensile strength value, which reached 941 MPa, with a grain size of 3.51 µm. Although its hardness value 351.98 BHN is slightly lower compared to the sample cooled with air, the difference is not significant. The metallographic observations show that there is a phase change in the sample. Initially, the sample only had an austenite phase during the homogenization process. However, after undergoing tempering, there is a phase change to austenite, ferrite, martensite, and carbide phases. This change will result in an increase in the strength of Hadfield steel.
Computational Model of Boride Diffusion Layer on the Low Carbon Steel Sutrisno, Sutrisno
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.6, N
Publisher : Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v6i2.36554

Abstract

In this paper, a computation model was used  to analysis  the growth kinetic of two boride layers FeB and Fe2B on the surface of low carbon steel. St41 one of the low carbon steel was used as the basic sample and given the treatment by adding the powder pack boriding in the temperature of 700, 800, and 9000C for the 8 hours of treatment time. To perform the morphology and dimension of the boride layers used the optical microscope. The computation model based on the diffusion equation from the Fick’s Law and solved under the certain assumptions with the parabolic growth of iron boride. For this study, a numerical method was created to determine the iron borides layer thickness as a function of process parameters (temperature and time).By using the parabolic growth constant  it can be determined the diffusion coefficient for the phase of FeB, Fe2B, and diffusion zone. Based on the diffusion coefficient it can be predicted the depth and thickness of borided layer on the surface of St41 low carbon steel
Development of Perovskite Manganate-Based Materials as Microwave Absorbers (A Literature Study) Haiqal, Amanda; Priambodo, Danang Pamungkas; Faddakiri, Fattah Ardhi
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.6, N
Publisher : Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v6i2.36991

Abstract

The 5.0 industrial revolution has led to the rapid development of digital devices and radar detection technology. Electromagnetic (EM) radiation generated by digital devices, such as smartphones, computers, and airplanes, is proven to cause great harm to human health. Manganese perovskite is one material that can produce changes such as its crystal structure, electron transfer, electrical properties, and magnetic properties. Doping applied to manganese perovskite-based materials can induce phenomena such as Colossal Magnetoresistance (CMR) and Magnetocaloric Effect (MCE), giving manganese perovskite-based materials great potential to be used as microwave absorbers. Through this article, the development of various manganese perovskite-based materials as microwave absorbers will be reviewed and summarized. Synthesis methods and microwave absorption mechanisms will also be reviewed. This article focuses on the doping of A-site and B-site manganese perovskite-based materials and their performance in absorbing microwaves. Hopefully, this article can be one of the guidelines for designing new manganese perovskite-based materials, to be applied as microwave absorbers.
The IoT-Based Mathematical Pendulum Real Laboratory Tool Sudarmanto, Agus; Poernomo, Joko Budi; Maulana, Andika Rifqi
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.6, N
Publisher : Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v6i2.37445

Abstract

Blended learning is a learning approach that combines face-to-face instruction and online learning. In this case, blended learning will be applied to the mathematical pendulum topic through practical experimentation. The mathematical pendulum experiment is a method used to enhance students understanding of the subject matter. This study aims to develop an IoT-based design for a practical mathematical pendulum tool. The research method is based on Research and Development (R&D). The study results in the development of a practical mathematical pendulum tool and control system through the Blynk application. The data displayed on the Blynk application includes the period (t) and the number of oscillations (n). The accuracy of the infrared sensor FC-51 is tested by comparing it with a stopwatch, resulting in a period data accuracy ranging from 96% to 99%. The period data is then used to calculate the acceleration due to gravity (g) with an accuracy ranging from 93% to 97%.
Reservoir Characterization Using Amplitude Versus Offset (AVO) Analysis of Lakota Formation, Teapot Dome Field, Wyoming, USA Samudera, Nadia; Herawati, Ida
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.7, N
Publisher : Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v7i1.38304

Abstract

Lakota Formation is one of the prolific  formations at Teapot Dome Field. The objective of this study is to analyze hydrocarbon potential of Lakota Formation using Amplitude Versus Offset (AVO) analysis. AVO analysis is performed to determine AVO class, intercept (A) and gradient (B) values of Lakota reservoir. This study uses pre-stack 3D gather data and three wells, 17-WX-21, 48-X-28 and 41-2-X-3. The Lakota formation is known to be an oil-bearing sandstone reservoir which supported by log interpretation. Analysis of AVO modelling using well data by crossplotting reflectivity (R) with sin2 θ, shows that the Lakota Formation is in Class IIP for wells 17-WX-21 and 41-2-X-3 and Class II for well 48-X-28. An estimation of AVO intercept and gradient based on the seismic data show that the Lakota Formation is  class II AVO response. A-B plane shows that the pay zones of Lakota formation are fall within hydrocarbon zone, but very close to background trend (wet sands/shale). AVO attributes; A*B and scaled Poisson Ratio  at well location showing difficulty in differentiate the presence of oil and brine. Therefore, it can be concluded that AVO attributes can not distinguish between water and oil zone in Lakota Formation, and therefore we can not determine distribution of oil in the Lakota reservoir. 

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