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Phi : Jurnal Pendidikan Fisika dan Terapan
Published by Universitas Islam Negeri Ar-Raniry Banda Aceh
ISSN : 24604348     EISSN : 25497162     DOI : -
Core Subject : Science, Education, Engineering,
Earth & Planetary Sciences Education Engineering Physics Other
Jurnal Phi teregistrasi dengan ISSN : 2549-7162 (daring) dan ISSN : 2460-4348 (cetak) adalah jurnal yang mempublikasikan hasil-hasil riset dalam lingkung fisika dan pendidikan fisika yang berdampak pada pengetahuan dan teknologi. Kami tidak menerima tulisan yang masih berupa hasil pendahuluan atau tidak mengandung kebaruan. Jurnal Phi juga mempublikasikan penelitian interdisiplin ilmu yang mendukung pengembangan fisika dan pendidikan fisika. Secara khusus, topik-topik dan lingkup yang diterbitkan terdiri dari: Pengembangan model, metoda dan pendekatan pembelajaran. Pengembangan teknologi media pembelajaran dalam pendidikan fisika. Psikologi pendidikan fisika. IPA terpadu yang relevan dengan pendidikan fisika. Instrumentasi dan komputasi untuk teknologi pendidikan fisika. Fisika terapan termasuk geofisika dan teknologi material
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 203 Documents
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Geomechanical Integrity Assessment in Field X of the Telisa Formation Caprock for CO₂ Storage in the Central Sumatra Basin Abdillah, Hanif Ridho; Aurell Alyya Charissa; Handoyo Handoyo; Samosir, Sondang
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.34352

Abstract

Evaluating caprock integrity is essential to ensure the long-term security of geological CO₂ storage. This study assesses the elastic and geomechanical characteristics of the Telisa Formation in the Central Sumatra Basin as a potential caprock for Carbon Capture and Storage (CCS). The analysis integrates well log data from four wells (C-1, H-1, P-1, and T-1), including gamma ray, sonic, density, and predicted shear-wave velocity logs. Elastic parameters such as Young’s Modulus (1–15 GPa) and Poisson’s Ratio (0.3–0.5) were calculated and used to derive the Brittleness Index (0–1.5), while Unconfined Compressive Strength (35–65 MPa) was estimated to evaluate rock strength. The results indicate that the Telisa Formation is predominantly shale-dominated, characterized by high gamma ray values and low porosity, consistent with typical caprock properties. Acoustic Impedance, Young’s Modulus, and UCS generally increase with depth, reflecting progressive compaction and enhanced rock stiffness. Crossplot analyses reveal positive correlations between Acoustic Impedance, Young’s Modulus, Brittleness Index, and UCS, and a negative relationship between Poisson’s Ratio and stiffness-related parameters. Although localized less brittle-to-brittle intervals are identified, particularly in Well P-1, the formation overall exhibits ductile to less brittle behavior. These findings suggest that the Telisa Formation demonstrates favorable mechanical integrity for CO₂ containment, if injection pressures are carefully managed and structural discontinuities are properly evaluated to minimize leakage risk.
Screening Potential CO₂ Storage Reservoirs Basin Using Petrophysical Evaluation: Case Study in Field X, Central Sumatra Basin Charissa, Aurell Alyya; Abdillah, Hanif Ridho; Handoyo, Handoyo; Samosir, Sondang
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.34353

Abstract

This study was conducted to evaluate the feasibility of the Menggala Formation in the Central Sumatra Basin as a potential Carbon Capture and Storage (CCS) reservoir candidate based on the analysis of key petrophysical parameters. Well log analysis was carried out by determining reservoir depth, effective thickness, effective porosity, and Net-to-Gross (NTG) as indicators of reservoir suitability. The results show that the reservoir depth ranges from 1662.48 to 1805.14 m, with an average of 1705.108 m, thereby meeting the requirement for CO₂ storage under supercritical conditions. The average effective porosity of 15.54%, effective thickness of 23.38 m, and NTG value of 0.595 indicate adequate reservoir quality at the initial screening stage. Although lateral variation exists among the wells, the Menggala Formation generally meets the criteria as a potential CO₂ injection site. However, further studies, including volumetric storage capacity estimation and caprock (seal) integrity evaluation, are required to ensure long-term reservoir feasibility.
Geological CO2 Storage Potential in Coal Seam D, South Sumatra Basin Fadhillah, Tiara; Salinita, Silti; Handoyo, Handoyo
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.34426

Abstract

Rising atmospheric CO₂ emissions from fossil fuel-based industries have intensified the need for effective mitigation strategies, with Carbon Capture and Storage (CCS) in geological formations, particularly un-mined coal seams necessitates specialized research into numerous critical factors that are equivalent thorough characterization of coal properties such as porosity, permeability, uniaxial compressive strength (UCS), poisson ratio, and brittleness. This study serves as a preliminary assessment of the CCS potential of Coal Seam D in the Suban Burung Block, South Sumatra Basin, using drilling data from four wells (within area 960 m × 860 m). This study aims to describe the coal seam D strata for underground CO2 storage. Coal Seam D was identified from core sample data, with laboratory analyses conducted to determine density and porosity values. Then, in this study we predict velocity (Vp and Vs), UCS values, and BI using petrophysical and rock physics approaches. The analysis by integrates well correlation, estimation of elastic and mechanical parameters, and spatial interpolation of petrophysical properties. Results indicate that Coal Seam D has a thickness of 8.1–10.7 m and porosity ranging from 0.14–0.198. Mechanical properties show Uniaxial Compressive Strength (UCS) values of 9.5-9.7 MPa and a Brittleness Index 0.47–0.50 which indicate coal with low to medium strength and medium brittleness. Based on the preliminary analysis, the coal seam D in this region exhibits favorable candidate for implementation CO₂ storage in South Sumatra, Indonesia.
Development of an IoT-Based Solar Power Plant (PLTS) Experimental Kit as a CPS–STEM Learning Media in Junior High School Putra, Gede Mudita Edi; Sriyanti, Ida; Marlina, Leni
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.34701

Abstract

Science learning in junior high schools is still dominated by abstract and teacher-centered approaches, failing to realize the principles of pedagogical Deep Learning, which emphasizes mindful, meaningful, and joyful student understanding. This study aimed to develop an Internet of Things (IoT)-based Solar Power Plant (PLTS) experiment kit as a valid, practical, and effective Creative Problem Solving–STEM learning media. The study employed a 4D development model (Define, Design, Develop, Disseminate) with a one-group pretest-posttest design. The developed product consisted of solar panels, a Solar Charge Controller, a battery, and an inverter, integrated with an ESP32-based IoT module, relays, sensors, and the Telegram Bot platform. Validation was conducted by five experts using the Content Validity Index (CVI). The research subjects were 104 ninth-grade students at SMP Negeri 02 Semendawai Timur. The results showed that the IoT-based PLTS experiment kit was highly valid (CVI = 0.90) and very practical, with an average learning implementation of 84.75% and a positive student response of 89.03%. Furthermore, the kit was effective in improving students' Creative Problem Solving abilities, achieving an N-gain value of 0.53 (moderate category). This IoT-based PLTS experiment kit provides a learning experience that aligns with the demands of Industrial Revolution 4.0 and the principles of holistic educational Deep Learning.
Development of FluidInsight: A PBL-Based Mobile Learning Application for Static Fluids Riski Yulianto Saputra; Dwi Nanto; Devi Solehat
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.34714

Abstract

The scarcity of interactive media in static fluid topics often poses difficulties in engaging high school students actively and comprehensively. This study seeks to develop FluidInsight, a Problem-Based Learning (PBL)-based Android application created via the Kodular platform to improve student learning outcomes. The research followed a Research and Development (R&D) design using the 4D model, specifically limited to the Develop stage. Participants included 28 eleventh-grade students involved in a one-group pretest-posttest design. Expert validation yielded an average score of 85.6% (highly feasible), while practicality testing through the User Experience Questionnaire (UEQ) showed high ratings in the stimulation (2.143) and attractiveness (2.036) dimensions. The effectiveness test demonstrated an improvement in learning outcomes with an average N-gain score of 0.55 (moderate). These findings indicate that FluidInsight effectively visualizes abstract concepts and facilitates student-centered learning. Therefore, the integration of PBL into Android-based media serves as an innovative digital transformation strategy for physics instruction.
Mapping Conceptual Transformation of Pre-Service Physics Teachers in Modern Physics Learning Ramadhan, Teuku Muhammad Hary; Mustari, Andi; Saputri, Mawarni; Musdar, Musdar; Fernanda, Dimas
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.35039

Abstract

Misconceptions in modern physics remain a major challenge among pre-service physics teachers due to the abstract nature of the concepts. This study aimed to analyze misconceptions and conceptual transformation after implementing the Conceptual Change Model (CCM) in modern physics learning. A mixed-methods sequential explanatory design was conducted involving 55 pre-service physics teachers at the Department of Physics Education, Universitas Syiah Kuala. Data were collected using a five-tier diagnostic test and semi-structured interviews. The diagnostic test identified five conceptual categories: Scientific Conception (SC), Lack of Knowledge (LK), False Positive (FP), False Negative (FN), and Misconception (MC). Conceptual transformation was analyzed through changes in conceptual categories between pretest and posttest results. Findings showed that misconceptions dominated the pretest phase (38.2%), while Scientific Conception increased from 18.2% to 61.8% after CCM implementation. Misconceptions also decreased significantly from 38.2% to 12.7%. The highest complete conceptual transformation occurred in pair production (58.2%), whereas photon–gravity interaction showed dominant partial transformation due to its abstract characteristics. Interview results indicated that conceptual transformation occurred through dissatisfaction, intelligibility, plausibility, and fruitfulness stages. Overall, CCM effectively promoted conceptual restructuring and reduced misconceptions, while the five-tier diagnostic test provided comprehensive information regarding conceptual understanding, reasoning consistency, and confidence levels among pre-service physics teachers.
Design and Implementation of a Portable Air Quality Monitoring Device Using Nova Fitness SDS011 Sensor Technology in Urban Areas Sirait, Naza Fahrul; Nengsih, Sri
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.32124

Abstract

This study presents the design and implementation of a portable air-quality monitoring device based on the Nova Fitness SDS011 sensor to measure PM2.5 concentrations. The system integrates a microcontroller-based processing unit with real-time data display and audio warning features. Device performance was evaluated by calibrating against a reference instrument (BAM 1020, BMKG), yielding an average measurement error of 2.43%. In addition, validation by media experts indicated a high feasibility level of 95%, confirming the device’s suitability for practical use. Field testing conducted in several urban locations revealed significant variations in PM2.5 concentration, influenced by factors such as traffic density, industrial activity, and population distribution. The results demonstrate that the proposed device provides a reliable, low-cost, and portable solution for real-time PM2.5 monitoring in urban environments. This study contributes to the development of easy-to-use tools for monitoring air quality in support of environmental awareness and educational applications.
Application of the Adam Gradient Descent Optimizer (AGDO) for One-Dimensional Magnetotelluric (MT) Data Inversion Harahap, M. Fadhilah Al Yasir; Irawati, Selvi Misnia; Junian, Wahyu Eko
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.34593

Abstract

This study investigates the application of the Adam Gradient Descent Optimizer (AGDO) for one-dimensional (1D) magnetotelluric (MT) inversion. The algorithm was evaluated using a benchmark function, synthetic MT datasets generated from layered Earth models with 5% Gaussian noise, and field MT data from the Cloncurry region, Australia. For the synthetic datasets, AGDO successfully reconstructed the target resistivity structures, yielding RMSE values ranging from 0.0599 to 0.0603 across four models with different resistivity configurations. For the field datasets, the inversion produced RMSE values between 0.0225 and 0.0582, indicating good agreement between the observed and calculated responses. The ensemble of models obtained from 100 independent runs clustered around the best-fit solutions, demonstrating stable convergence and consistent inversion results despite different random initial populations. These results indicate that AGDO provides an effective and reliable optimization framework for one-dimensional MT inversion and represents a promising alternative for addressing the nonlinear and non-unique nature of the problem.
Identification of Coal Seams Using Ground Penetrating Radar (GPR) Integrated with Borehole Logging Data at PIT “SWIM”, South Palembang Sub-Basin Situmorang, Vivin Julianty; Paembonan, Andri Yadi; Andika, Putu Pradnya; Alamshah, Muhammad
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.34704

Abstract

Coal remains one of the main energy sources in Indonesia, contributing more than 40% to national energy consumption. Therefore, an effective exploration method is needed to identify subsurface coal seams. This study aims to identify the presence of coal seams using the Ground Penetrating Radar (GPR) method integrated with borehole logging data at PIT “SWIM”, South Palembang Sub-Basin. The study utilized four GPR survey lines and four borehole log datasets. The GPR data were acquired using a 25 MHz antenna frequency and processed through the stages of move starttime, dewow filtering, automatic gain control, bandpass Butterworth filtering, background removal, running average, and topography correction Interpretation was carried out based on reflection patterns, reflector continuity, amplitude characteristics, and correlation with gamma-ray and density logs. The results indicate five coal seam zones, namely A1, A2, B, C, and D, at depths of approximately 8–60 m. Among these, Seam B exhibits the most consistent continuity across the survey lines, while Seam D appears as a prominent deeper reflector. Strong, continuous, high-amplitude reflectors indicate significant dielectric property contrasts between the coal and the surrounding lithologies. This study demonstrates that the integration of low-frequency (25 MHz) GPR and logging data can effectively support coal seam identification and illustrates the application of electromagnetic wave propagation, reflection, attenuation, and dielectric contrast principles in subsurface exploration, making it relevant to the fields of applied physics and geophysics.
Characterization of the Menggala Formation Sandstone Reservoir Using Multi-Attribute Seismic in the “X” Field, Central Sumatra Basin Sani, Dinda Zahra; Handoyo, Handoyo; Samosir, Sondang
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.34507

Abstract

Field X in the Central Sumatra Basin presents unique characteristics due to suboptimal data quality for seismic inversion analysis. However, a comprehensive reservoir characterization is still required. Therefore, alternative strategies are needed to optimize the available data, one of which is multi-attribute seismic analysis. This study aims to characterize the reservoir in the Menggala Formation, Central Sumatra Basin, using multi-attribute seismic analysis. The petrophysical parameters used include density porosity (DPHI), water saturation (Sw), and shale volume (Vsh) as primary indicators for assessing reservoir quality. The dataset consists of post-stack 3D seismic data and well log data from four calibration wells, including gamma ray, density, neutron, and resistivity logs. The research workflow began with petrophysical analysis to derive DPHI, Sw, and Vsh values from the well log data, followed by seismic attribute extraction within the target reservoir intervals. Multi-attribute linear regression was then applied to establish a quantitative relationship between seismic attributes and well log data, enabling the lateral prediction of petrophysical parameter distributions across the study area. Model validation was conducted by comparing the predicted values against well log data, yielding correlation coefficients of r= 0.63 (Vsh), r= 0.85 (DPHI), indicating sufficiently reliable and acceptable prediction results. Based on the modeled property distributions, potential reservoir zones are characterized by low Vsh, high DPHI, reflecting the presence of clean sandstone with good hydrocarbon potential. These findings serve as a valuable reference for identifying prospect zones and supporting future development planning within the study area.

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