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Muh. Altin Massinai
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Departemen Geofisika, Fakultas Matematika dan Ilmu Pengetahuan Alam - Universitas Hasanuddin, Gedung MIPA, Kampus Unhas Tamalanrea - Jalan Perintis Kemerdekaan, Makassar - Sulawesi Selatan 90245
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Jurnal Geocelebes
Published by Universitas Hasanuddin
ISSN : 25795821     EISSN : 25795546     DOI : https://doi.org/10.20956/geocelebes.vxix.xxxxx
Core Subject : Science,
Earth & Planetary Sciences
Jurnal Geocelebes adalah jurnal peer-review yang dipublikasikan oleh Departemen Geofisika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Hasanuddin. Jurnal ini terbit dua kali dalam setahun pada bulan April dan Oktober. Jurnal ini diperuntukkan sebagai sarana publikasi ilmiah di bidang geofisika baik teoritik maupun terapan. Artikel yang dimuat merupakan hasil penelitian yang orisinal, tinjauan (review) tentang kemajuan terkini dari suatu topik tertentu, studi kasus aplikasi geofisika atau pun resensi tentang perangkat lunak yang berkaitan dengan geofisika. Fokus dan cakupan topik yang dimuat dalam Jurnal Geocelebes: Geofisika eksplorasi Seismologi Vulkanologi Geofisika lingkungan Hidrometeorologi Oseanografi Dinamika pantai dan lautan Geoinformatika Mitigasi bencana geologi
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Geofisika
Articles 10 Documents
 1 
Search results for , issue "Vol. 9 No. 2: October 2025" : 10 Documents clear
Phase Tensor Analysis and 2D Modeling of Magnetotelluric Method Data in The Nullarbor Area, South Australia Manurung, Sarah; Paembonan, Andri Yadi; Irawati, Selvi Misnia
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.34767

Abstract

Earth's geological structures are generally the result of tectonic processes. This study aims to determine the dimensions and direction of the geoelectric strike based on phase tensor analysis and 2D modeling to determine the subsurface structure in the Nullarbor area, South Australia using the magnetotelluric method. The magnetotelluric method is a passive geophysical technique used to create images of subsurface structures based on variations in rock resistivity. Data was obtained in EDI file mean the data has been processed and convert to apparent resistivity and frequency. Furthermore, data is analysis in the phase tensor process and then identify the Geoelectrical strike direction. Based on the tensor analysis, the results show that the study area has 2D dimensions, and the direction of the geoelectric cross section is from North to South, specifically N5°E. This geoelectric direction corresponds to the regional geological structure. After rotation in this direction, 2D inversion modeling of the MT data shows rock layers consisting of Eucla basins with sediment and volcanics rocks below 10 Ωm and Officer basin contain a sediment rock that has higher resistivity ranging from 10 to about 300 Ωm. Furthermore, the resistive layer with 300 – 2000 Ωm is expected as the upper crust in the central Coompana Province trending granite-rich corridor. This result show that the geological structure and lithology could be identified in this study area by analyzing the phase tensor and from the 2D model.
Analysis of Pollutant Distribution Due to Forest Fires in Ketapang Regency in 2015 Using The WRF-Chem Model Yani, Elyda; Ihwan, Andi; Ardianto, Randy; Adriat, Riza; Jumarang, Muhammad Ishak
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.42903

Abstract

A forest fire occurred on September 9, 2015, resulting in 616 hotspots distributed across several regencies in West Kalimantan, 442 of which were in Ketapang Regency. This study aims to analyze the spatial and temporal distribution of pollutants caused by forest fires in Ketapang Regency in 2015 using the Weather Research and Forecasting with Chemistry (WRF-Chem) model. The data used to run the model includes the Final Global Data Assimilation System (FNL) dataset, the Emission Database for Global Atmospheric Research (EDGAR), and The Fire Inventory from NCAR (FINN), which serve as input and emission source data. The highest concentrations of pollutants, which are PM2.5 and PM10 at 30 µg/m³ each and CO at 342.9 µg/m³, were observed in the southern part of Kalimantan, which is the main source of the forest fires. These pollutants subsequently dispersed toward the northern part of Kalimantan. During the fire events, pollutants were transported to the upper atmosphere from morning to noon but accumulated near the surface at night. This pattern was influenced by meteorological conditions, including wind speed and direction, surface pressure, and air temperature. During forest fires, pollutants are emitted into the atmosphere from morning to afternoon, and accumulate near the surface during the night. This pattern was influenced by meteorological factors, including wind speed and direction, surface pressure, and air temperature.
Relocation of the Hypocenter of an Earthquake with the Double Difference Method in the Mentawai Hanifah Maulani, Siti; Refrizon, Refrizon; Samdara, Rida; Agung Satria, Lori; Ahadi, Suaidi
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.43009

Abstract

This research aimed to accurately relocate the hypocenter of earthquakes in the Mentawai region to enhance precision in hypocenter determination. The arrival time data used were secondary data recorded in the seiscomp4 software at BMKG Class I Padang Panjang. The dataset comprised 66,979 arrival time data point form 2,380 earthquakes that occurred between September 2023 and September 2024. The Double-difference method, utilizing the Crust 2.0 velocity models, was employed for the relocation process. This method evaluated two hypocenters using a single recording station, provided that the distance between the hypocenters was less than the distance to the recording station. The HypoDD program was used for data processing. The relocation results indicated that the hypocenter had shifted and exhibited an increasing tendency toward cluster formation. The hypocenter depth was adjusted from an initial average of approximately 41.05 km to 51.05 km. This shift suggested am improvement in the quality of residual distribution. The enhancement of earthquake hypocenter resolution supported disaster mitigation by accelerating early warnings, improving construction safety in earthquake-prone areas, and optimizing emergency response. The relocation results in the Mentawai region identified 89 earthquake hypocenter points out of the 94 points recorded before relocation.
HVSR Microtremor Analysis to Assess Subsurface Fault Characteristics and Geothermal Potential in Kepahiang Rabbani, Muhammad Rifqi; Hadi, Arif Ismul; Harlianto, Budi; Farid, Muchammad; Raihana, Hana; Anggi, Arya Putra
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.43347

Abstract

Kepahiang, Bengkulu, is an area with considerable geothermal potential, especially in the Air Sempiang and Babakan Bogor areas. This study aims to analyze subsurface fault characteristics and assess geothermal potential using the Horizontal-to-Vertical Spectral Ratio (HVSR) microtremor method. This passive seismic method is used to determine key geophysical parameters, including dominant frequency (f0), amplification factor (A0), shear wave velocity (vs), and primary wave velocity (vp), which are essential for characterizing subsurface geological structures and identifying geothermal reservoir zones. The results show that dominant frequency values in Kepahiang range from 1.24 Hz to 20.45 Hz, while the amplification factor varies between 1.29 and 7.22. vs values range from 121.61 m/s to 3251.79 m/s, and vp values range from 214.91 m/s to 6469.79 m/s. These findings suggest that the surface layer consists mainly of alluvium and hard sandy gravel, with thicknesses varying between 10 and 50 meters. The 3D subsurface model constructed from the data indicates the presence of fault-controlled geothermal manifestations, mainly influenced by the Babakan Bogor Fault and Bogor Fault. These faults facilitate the upward migration of geothermal fluids, forming surface manifestations such as hot springs, fumaroles, and altered rocks. The geothermal system in the study area is classified as a low-temperature geothermal system, mainly caused by residual magmatic heat from Kaba Mountain and Bukit Hitam Crater. This research provides important insights for geothermal energy exploration and geotourism development in Kepahiang. These findings serve as a scientific basis for future geothermal resource assessment, land use planning, and sustainable energy utilization.
Spatial Analysis of the Seismic Gap Zone Based on Multiparameter Seismotectonics in Southern East Java as an Indicator of Megathrust Earthquake Potential Putri, Diva Maharani; Maharani, Nanda; Ilham, Ilham; Yulinda, Riska
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.44633

Abstract

The southern region of East Java is located above an active subduction zone, where the Indo-Australian Plate is subducting beneath the Eurasian Plate. This tectonic condition makes the region potentially susceptible to large-scale megathrust earthquakes. This study aims to characterize the suspected seismic gap segments in the southern subduction zone of East Java, with a primary focus on the area between Pacitan and Lumajang. The approach used is based on high-resolution seismotectonic spatial analysis, combining three main parameters: seismicity distribution, earthquake return period estimates, and a-values and b-values as indicators of tectonic activity and stress condition. The analyzed data covers a long period of time, from 1910 to 2025, and was compiled by the BMKG and USGS catalogs. The results of the analysis show that the Pacitan-Lumajang segment experiences a lack of earthquake activity in the plate interface, although this area is tectonically active. In addition, this segment has a very long return period (> 500 years for Mw7 and > 4,000 years for Mw8), accompanied by low a-value and b-value, indicating low earthquake frequency and high stress accumulation. These findings indicate that the segment is a locked zone that has the potential to release large amounts of energy in the future. The results of this study provide an initial contribution in understanding the spatial distribution of seismic activity in the southern region of East Java, and can be used as supporting considerations in initial disaster risk assessments, especially in densely populated coastal areas.
Assessment of Ground Deformation and Landslide Susceptibility Using InSAR and Hypsometric Data in Jayapura City, Papua Anas, Nur Ayu; Hasudungan, Harsan Ingot; Indrajati, Rahmat; Yonas, Marcelino N.; Hutami, Harnanti Y.
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.45404

Abstract

Ground deformation and landslides are major geohazards affecting Jayapura City, Papua, due to its active tectonic setting and steep topography. This study aims to assess the correlation between surface deformation and landslide susceptibility using a combination of Interferometric Synthetic Aperture Radar (InSAR) and hypsometric analysis. Sentinel-1A SAR data from ascending and descending tracks, combined with DEMNAS elevation data, were used to detect deformation patterns and evaluate geomorphological maturity through hypsometric parameters. The results reveal significant deformation patterns, including subsidence up to –0.77 m and uplift up to +0.25 m, predominantly concentrated in sub-watersheds Sw2, Sw3, and Sw4. Hypsometric analysis indicates that most sub-watersheds are in the mature geomorphological stage (HI between 0.476 and 0.495), except Sw14, which is classified as young (HI = 0.501). Validation with the landslide inventory further confirms this correlation: 75% of documented landslides occurred in areas of high deformation, while 25% were associated with moderate deformation, and none in low or stable zones. These findings provide essential insights for disaster risk reduction, highlighting priority areas for slope stabilization, land-use management, and early warning systems.
Facies Characteristics and Depositional Environment Reconstruction of the Minahaki Formation, “DM” Field, Banggai Basin Sayaf, Ival Umar; Isnaniawardhani, Vijaya; Muljana, Budi; Suganda, Wingky
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.45784

Abstract

The Miocene Minahaki Formation in the Banggai Basin represented a key hydrocarbon reservoir, but its pronounced heterogeneity posed a challenge for field development. This study aimed to characterize the formation's carbonate facies and reconstruct its depositional environment in the “DM” field to establish a predictive model for reservoir distribution. The research employed an integrated subsurface analysis of core, cuttings, and wireline log data from seven wells. Four principal lithofacies (Bioclastic Coralline Floatstone, Dolomitic Algae Bioclastic Packstone, Argillaceous Dolomitic Foraminifers Bioclastic Wackestone, and Bioclastic Wackestone) were identified and subsequently grouped into two distinct facies associations: a high-energy Reef Margin Complex (FA-1) and a lower-energy Fore-Reef Slope (FA-2). Spatial correlation of these associations revealed a clear proximal-to-distal environmental gradient from west to east. The depositional architecture of the Minahaki Formation in the study area was interpreted as a rimmed carbonate platform. This model accounts for the observed reservoir heterogeneity, concluding that higher-quality reservoir bodies, characterized by moldic, vuggy, and intercrystalline porosity, are concentrated within the single reefal buildup that defines the western margin of the field. This finding provides a direct, geology-based predictive tool for optimizing future drilling activities and serves as a useful analogue for similar carbonate systems elsewhere.
Comparative Analysis of SARIMA, FFNN, and Hybrid Models for Sea Surface Temperature Prediction at Enggano Island (2018–2024) Natisharevi, Raditya Janaloka; Rizal, Jose; Firdaus, Firdaus; Novianti, Pepi; Lestari, Wina Ayu
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.46445

Abstract

Sea Surface Temperature (SST) is a key oceanographic variable that influences fish distribution and the livelihoods of coastal communities. On Enggano Island, where most residents rely on fishing, SST is critical for identifying optimal fishing grounds due to limited accessibility and high operational costs. Accurate modeling and forecasting of SST are therefore essential for effective fisheries management and sustainable resource use. This study analyzes and predicts monthly SST patterns in Enggano Island using Seasonal Autoregressive Integrated Moving Average (SARIMA), Feed Forward Neural Network (FFNN), and Hybrid SARIMA-FFNN models. SARIMA effectively captures linear trends and seasonal variations but struggles with nonlinear dynamics and requires statistical assumptions. Conversely, FFNN models nonlinear relationships without such assumptions but is less efficient in representing linear and seasonal structures. The hybrid SARIMA-FFNN combines the strengths of both approaches, integrating linear-seasonal accuracy with nonlinear adaptability. Monthly SST data from January 2018 to December 2024, covering northern, eastern, southern, and western regions of Enggano Island, were analyzed. Results show that all models achieved high predictive accuracy, with MAPE values below 10%. Based on RMSE, FFNN outperformed the other models across all regions (north: 1.173, east: 0.999, south: 1.245, west: 1.049), confirming FFNN as the most accurate model for SST prediction. Predicted SST values across the four regions exhibited only minor differences, offering fishermen flexibility in selecting fishing grounds. Sustainable fishing strategies should also consider species-specific temperature preferences and other ecological factors influencing fish distribution.
Subsurface Characterization using Electrical Resistivity Tomography (ERT) for Sponge City Planning in Nusantara Capital City (IKN), Indonesia: Karakterisasi Bawah Permukaan Menggunakan Geolistrik Resistivitas (ERT) untuk Perencanaan Kota Spons di Ibu Kota Nusantara (IKN), Indonesi Wahidah, Wahidah; Lepong, Piter; Supriyanto, Supriyanto; Djayus, Djayus; Firdaus, Muhamad Akmal; Azisyarlina, Dwi
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.47083

Abstract

Clay shale dominates the lithology along access roads in the IKN development area. Its impermeable nature poses challenges to implementing the Sponge City concept, which relies on enhanced rainwater absorption to reduce surface runoff. This study aims to map the spatial distribution of clay shale and assess its implications for Sponge City planning. The geoelectrical resistivity method was applied at three sites, each consisting of one long section and three cross sections. Resistivity contrasts were used to delineate subsurface lithology, producing two- and three-dimensional models. The results reveal three main lithological units: topsoil, clay shale, and sandy clay. Topsoil shows heterogeneous resistivity values with thicknesses ranging from <1 m to 5 m. Clay shale exhibits resistivity values below 50 Ωm and thicknesses of <5–30 m, while sandy clay exceeds 50 Ωm with variable thicknesses up to 30 m. The thick, low-resistivity clay shale indicates poor permeability, which limits infiltration and groundwater storage. These findings suggest that the IKN area is less suitable for a natural sponge system. Therefore, stormwater management should prioritize engineered solutions such as green roofs, retention ponds, and bioretention facilities to control runoff and support sustainable urban development.
Shear-Wave Velocity Structure in Southeast Asia from the 2025 Mw 8.8 Kamchatka Earthquake Using Hilbert–Huang Transform Kurniawan, Andri; Dani, Ilham; Erfani, Sandri
JURNAL GEOCELEBES Vol. 9 No. 2: October 2025
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v9i2.47278

Abstract

The 2025 Mw 8.8 Kamchatka earthquake generated long-period teleseismic surface waves recorded at stations in Australia (CTAO), Thailand (CHTO), and Indonesia (KAPI) at epicentral distances of ~6,400–8,200 km. These records provide a useful dataset to probe crust and upper-mantle structure across contrasting Southeast Asian tectonic domains. We apply the Hilbert–Huang Transform (HHT) to vertical seismograms to extract dispersion from non-stationary wave trains. Seismograms are decomposed by empirical mode decomposition, and dispersion ridges in the Hilbert spectrum are tracked to identify frequency-dependent group arrivals. Group-velocity curves are smoothed with a low-order polynomial, and dual-frequency anchors are used to enforce phase-velocity continuity. Group velocities increase from ~3.0 km/s at periods ≥150 s to ~5.5 km/s at 40–60 s, while phase velocities span 3.3–4.6 km/s. Phase-velocity curves initialized with CRUST1.0 are inverted for 1-D shear-wave velocity (Vs), indicating crustal thicknesses of ~30–40 km: thicker beneath CHTO, intermediate at CTAO, and thinner with a slower upper mantle beneath KAPI. These lithospheric variations are consistent with regional deformation inferred from GPS and InSAR. Overall, HHT yields stable dispersion measurements and reliable Vs models relative to global references, underscoring its utility in complex tectonic regions.

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