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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 159 Documents
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EFFECTIVENESS OF THE FILTRATION METHOD USING ACTIVATED CARBON FROM KEPOK BANANA PEELS AND ZEOLITE TO REDUCE KMnO4 LEVELS Jumiati, Ety -; Husnah, Miftahul -; Asyari, Auly -
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.v7i1.40520

Abstract

The effectiveness of the filtration method using activated carbon from Kepok banana peels and natural materials such as zeolite has been studied. This research aims to reduce KMnO4 levels in well water so that it can be used for human needs. The well water samples used in the testing process with the filtration method were taken from a well located in Medan Marelan District, Tanah 600 Sub-district, North Sumatra Province. The utilization of Kepok banana peels for activated carbon to reduce KMnO4 levels involved using the chemical activator HCl 3M for 7 hours and an activation temperature of 600ºC for 45 minutes. The variations in composition used in the filtration method were sample A (75%:25%), sample B (50%:50%), and sample C (25%:75%). The most effective filtration result in reducing KMnO4 levels was sample A, with a KMnO4 reduction of 86.7%, which meets the clean water quality standards according to PERMENKES RI No 32 of 2017.
PHYSICAL TESTS OF ORGANIC INK BASED ON GUM ARABIC, GAMBIER, AND JANGGELAN LEAVES Masthura, Masthura; Pasha, Ikhwani; Wulandari, Sri; Panjaitan, Hilwa; Ramadhani, Devi
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.v7i1.40521

Abstract

The basic color of ink is black, which contains carbon, making it easier for us to use natural elements around us as the raw material for making organic ink, and it is, of course, more cost-effective. One potential natural material that can be used as a color source to replace synthetic materials in ink production is gum arabic, gambier, and janggelan leaves. This study aims to determine the physical tests of organic ink made from gum arabic, gambier, and janggelan leaves based on the Indonesian National Standard (SNI) No 06-1567-1989. The physical tests conducted include density, viscosity, and color pigment tests. The results of testing the three materials used—gum arabic, gambier, and janggelan leaves—showed that gum arabic is the most optimal for making organic ink. This is evident from the test results, which showed a density of 1.076 g/cm³, a viscosity of 2.56 poise, and a deep black color pigment.
SEISMIK VULNERABILITY INDEX ANALYSIS IN NAGARI MALALAK TIMUR AS AN EFFORT TO DETERMINE LANDSLIDE POTENTIAL AREAS THE HVSR METHOD Silitonga, Yese Angga Marito; 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.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.v7i1.41253

Abstract

Nagari Malalak Timur, Malalak Subdistrict, Agam Regency has experienced landslides caused by soil movement so that the soil conditions become unstable. Landslides are also influenced by external factors such as vibrations from earthquakes and vibrations from human activities. For this reason, a study was conducted to describe the distribution of seismic vulnerability index as an effort to determine the potential landslide area. The sampling was limited to 10 measurement points using a set of seismograph sysmatrack MAE sensor type S3S. The basic principle of HVSR method is to obtain the value of Dominant Frequency (f0) and Amplification Factor (A0) by comparing the value of horizontal component and vertical component of microtremor data. From the value of Dominant Frequency (f0) and Amplification Factor (A0), the calculation of Dominant Period (T0) and Seismic Susceptibility Index (Kg) can be done. The results of research in Nagari Malalak Timur show the value of Dominant Frequency (f0) is in the range of 2.676 - 7.22 Hz. The Amplification Factor (A0) value is in the range of 1.4 - 6.563. The Dominant Period (T0) value is in the range of 0.138 - 0.373 s. The Seismic Susceptibility Index (Kg) value is in the range of 0.365 - 14.62 cm/s2. Based on the distribution of Seismic Susceptibility Index (Kg) values in the 10 research points, the highest landslide potential is in point D with a Seismic Susceptibility Index (Kg) value of 14.62 cm/s2. This causes landslides to occur at any time.Keywords: Amplification Factor, Dominant Frequency, HVSR, Seismic Susceptibility Index
Synthesis and Characterization of Activated Carbon From Biomass Waste as A Microwave Absorber Material Nuras, Muhammad Ishaq; Saptari, Sitti Ahmiatri; Tjahjono, Arif; Priambodo, Danang Pamungkas; Haiqal, Amanda
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.v7i1.41310

Abstract

Excessive use of electronic technology can result in harmful radiation and electromagnetic interference, which pose risks to human health. To address this issue, researchers developed a material designed to absorb electromagnetic waves. The study focused on synthesizing and characterizing activated carbon derived from biomass waste, including water hyacinth, melinjo seed shells, and chicken eggshells, with the goal of reducing electromagnetic wave interference. The research process involved several key steps: washing the biomass materials, followed by carbonization, activation using a 65% KOH solution, and subsequent characterization of the material. The tests revealed that the activated carbon possessed a porous structure, which is essential for its absorption capabilities. The surface areas measured were 4.378 m²/g for water hyacinth, 2.518 m²/g for melinjo seed shells, and 2.992 m²/g for chicken eggshells. These surface areas are indicative of the material's potential effectiveness. Additionally, the microwave absorption capacities of the activated carbon were recorded as -18.342 dB for water hyacinth, -13.326 dB for melinjo seed shells, and -12.484 dB for chicken eggshells. These findings suggest that the activated carbons are highly effective as microwave absorber materials, with an absorption efficiency ranging between 94% and 98%.Excessive use of electronic technology can result in harmful radiation and electromagnetic interference, which pose risks to human health. To address this issue, researchers developed a material designed to absorb electromagnetic waves. The study focused on synthesizing and characterizing activated carbon derived from biomass waste, including water hyacinth, melinjo seed shells, and chicken eggshells, with the goal of reducing electromagnetic wave interference. The research process involved several key steps: washing the biomass materials, followed by carbonization, activation using a 65% KOH solution, and subsequent characterization of the material. The tests revealed that the activated carbon possessed a porous structure, which is essential for its absorption capabilities. The surface areas measured were 4.378 m²/g for water hyacinth, 2.518 m²/g for melinjo seed shells, and 2.992 m²/g for chicken eggshells. These surface areas are indicative of the material's potential effectiveness. Additionally, the microwave absorption capacities of the activated carbon were recorded as -18.342 dB for water hyacinth, -13.326 dB for melinjo seed shells, and -12.484 dB for chicken eggshells. These findings suggest that the activated carbons are highly effective as microwave absorber materials, with an absorption efficiency ranging between 94% and 98%.
Harnessing Machine Learning for Caprock Capacity and Seal Integrity Assessment in CCS: A Multi-Attribute Seismic Inversion Study from the F3 Block, North Sea Fadhlur Rahman; Abdul Haris; Dwandari Ralanarko; Humbang Purba; Wrahaspati Rulandoko; Praditio Riyadi; Muhammad Nafian; Muhammad Fahmi
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 : Department of Physics, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/vgq81h62

Abstract

Accurate characterization of subsurface petrophysical properties is a critical prerequisite for evaluating the suitability of geological formations for carbon capture and storage (CCS), particularly in identifying high-capacity reservoirs and effective sealing intervals. This study explores the use of a machine learning approach—Random Forest (RF) regression—for multi-attribute seismic inversion to predict porosity and acoustic impedance in the F3 Block, offshore Netherlands. The integration of ten seismic attributes with two well log datasets enables the construction of predictive models capable of resolving complex lithological variations within deltaic settings. The RF algorithm’s robustness against geological noise and its ability to model nonlinear relationships offer significant advantages over conventional inversion workflows, especially in heterogeneous and interbedded formations. The results demonstrate that RF-based inversion produces petrophysical volumes with improved spatial continuity and alignment with depositional patterns, offering a promising avenue for CCS site screening and reservoir-seal evaluation. The method’s ability to capture subtle textural and facies changes also enhances understanding of potential CO₂ migration pathways and trap integrity. This research underscores the potential of data-driven inversion frameworks in supporting geoscientific decision-making for CCS development, particularly in data-limited or geologically complex offshore regions.
3D Resistivity Modeling of Aquifers Based on Geoelectrical Data in Parungmulya Village, Karawang, West Java Az Hafiz Syach Putra Nugroho; Muhammad Faisal; Ananda Nur Fitria; Riane Agissa Putri; Devi Apriliani; Rahma Oktavia Helena
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics Vol. 8 No. 2 (2025): AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORET
Publisher : Department of Physics, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v8i2.45823

Abstract

Parungmulya Village, Karawang Regency, West Java, faces challenges in accessing clean water. This study aims to identify groundwater potential in the area using the resistivity geoelectric method. Measurements were conducted along six survey lines using the Schlumberger configuration to analyze subsurface layer characteristics and aquifer potential. The results indicate that a sandstone layer with high porosity and permeability has the potential to serve as a groundwater source for the local community. The resistivity values for this sandstone range from 306 to 2675 Ohm.m, with a maximum volume of 7,178.1 m³. This layer demonstrates a significant capacity for storing and transmitting groundwater. Additionally, a tuffaceous sandstone layer also exhibits aquifer potential, with resistivity values ranging from 408 to 1488 Ohm.m and a total volume of 28,892 m³. The findings of this study are expected to serve as a foundation for groundwater exploration planning to mitigate the water shortage problem in Parungmulya Village.
LANDSLIDE VULNERABILITY MAPPING USING FUZZY LOGIC METHOD FOR DISASTER MITIGATION: Case Study of Bungaya District, Gowa Regency Amirin Kusmiran; Jusniati; Ayusari Wahyuni; Minarti Minarti; Muhammad Tajuddin
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics Vol. 8 No. 2 (2025): AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORET
Publisher : Department of Physics, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v8i2.48919

Abstract

Landslides are a significant threat to the Bungaya District in Gowa Regency, Indonesia, with five incidents recorded in 2019. This study aimed to map landslide vulnerability using the Fuzzy Logic method implemented in ArcGIS software and propose appropriate mitigation strategies. The analysis incorporated six parameters: rainfall intensity, soil type, elevation, slope, land cover type, and geology. The results revealed four categories of vulnerability: not vulnerable (592.91 ha), low (3,093.32 ha), medium (9,139.72 ha), and high (7,557.29 ha). Areas with high vulnerability were characterized by steep topography, easily eroded soil and rock types, and inappropriate land-use practices. Rannaloe, Sapaya, Bissoloro, and Buakkang villages were classified as highly susceptible to landslides. Mitigation strategies were proposed based on the vulnerability level, with a combination of technical and vegetative methods recommended for high- and moderate-vulnerability areas, whereas vegetative methods alone were deemed sufficient for low-vulnerability regions. This study contributes to advancing spatially informed disaster risk management by integrating susceptibility mapping with actionable mitigation recommendations tailored to the vulnerability levels identified in the Bungaya District.
Smart Mini Spirometer Monitoring System Based on ESP32 and MQTT Communication Protocol Elvan Yuniarti; Muhammad Tiorahman Hakim; Thallut Malik Khatam; Irvanza Huga Fausta; Hernanda Thoriq Hermansyah; Edi Sanjaya; Ambran Hartono
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics Vol. 8 No. 2 (2025): AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORET
Publisher : Department of Physics, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v8i2.50212

Abstract

A system created can also provide solutions for remote monitoring that can be read through the dashboard on the WEB. Lung health monitoring is very important. This can be used to detect lung disease in its early stages. The parameters used to detect lung health are lung function parameters, especially Forced Vital Capacity (FVC) and Forced Expiratory Volume in one second (FEV1). This study aims to design a smart mini spirometer that can calculate the parameters of PVC and FEV1. The tools and materials used are the pressure sensor, MPX5010DP, venturi pipe, ESP32, 0.96-inch OLED, laptop, Arduino IDE, Message Queuing Telemetry Transport (MQTT) protocol, Web dashboard, and WiFi Internet. The results obtained successfully created a Smart Mini Spirometer Monitoring System. This system has an accuracy performance of 97.5% with a standard volume reference of 3.7 L. The system created can also provide solutions for remote monitoring that can be read via the dashboard on the WEB.
INTEGRATED SEISMIC HAZARD EVALUATION OF JAVA ISLAND BASED ON PEAK GROUND ACCELERATION AND HISTORICAL SEISMICITY Tati Zera; Rindi Antika Sari; Talitha Adinda
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics Vol. 8 No. 2 (2025): AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORET
Publisher : Department of Physics, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v8i2.50213

Abstract

Abstract.  Java Island is characterized by intense seismic activity due to its position at the convergence of the Indo-Australian, Eurasian, and Pacific plates. This tectonic setting, compounded by the presence of active fault systems, renders the region highly vulnerable to destructive earthquakes. This study investigates seismic hazards over a fifty-year period (1974–2024), focusing on events with magnitudes greater than 5 and depths shallower than 60 km. Peak Ground Acceleration (PGA) was selected as the primary parameter, given its critical role in assessing potential structural damage. Three established models—Donovan, Esteva, and McGuirre—were applied, producing PGA values ranging from 0.0046–0.1573 g, 0.00019–0.0292 g, and 0.00682–0.2206 g, respectively. These results were subsequently converted into the Modified Mercalli Intensity (MMI) scale to provide a practical measure of seismic hazard. The highest PGA was linked to the M 6.6 earthquake of January 14, 2022. Findings underscore the necessity of empirically grounded mitigation strategies to enhance resilience and inform sustainable development across Java. Keywords: Donovan, Esteva, earthquake, McGuire method, peak ground acceleration  

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