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Solih Alfiandy
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Jl. Sapta Marga No.1, Birobuli Utara, Kec. Palu Selatan, Kota Palu, 94231, Provinsi Sulawesi Tengah
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Buletin GAW Bariri ( BGB)
Published by Stasiun Pemantau Atmosfer Global Lore Lindu Bariri
ISSN : 27217752     EISSN : 27219704     DOI : https://doi.org/10.31172/bgb.v3i1
Core Subject : Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Astronomy Computer Science & IT Earth & Planetary Sciences Environmental Science
Buletin GAW Bariri (BGB) merupakan buletin karya tulis ilmiah yang diterbitkan oleh Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu BMKG sebagai sarana publikasi hasil penelitian dan kajian di bidang Meteorologi, Klimatologi, Kualitas Udara, dan Geofisika (MKKuG), serta Lingkungan.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 53 Documents
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Kajian Awal : Prediksi Kabut Berdasarkan Data Observasi di Wilayah Bandara Zainuddin Abdul Madjid Dewita, Anggi; Alfiandy, Solih
Buletin GAW Bariri (BGB) Vol 5 No 2 (2024): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v5i2.135

Abstract

The reduction in visibility due to wet particles (fog and mist) is a phenomenon that can occur at Zainuddin Abdul Madjid Airport (ZAM). This event is quite difficult to predict using NWP models because the physical processes involved in its formation are very complex. This study aims to determine the threshold parameters that can be used as a forecasting guide to predict the occurrence of fog. The data used is from January 2024, with parameters assessed from METAR, AWOS, and Fklim71, including wind speed, temperature, dew point, cloud cover, and maximum temperature. The threshold values for each parameter will be determined and tested using a dichotomous verification method to obtain the accuracy value. Based on the analysis, fog in January 2024 formed early in the morning if there was precipitation during the afternoon, with the average wind speed at night being < 1 knot, the temperature difference between maximum temperature and air temperature after sunset being > 4.5°C, and the dew point depression at 17:00 UTC being below 1°C. In January 2024, a dichotomous verification was carried out, and the result showed an accuracy of 87%. Forecasting using this method is not 100% accurate.
Analisis Nilai Percepatan Tanah Maksimum dan Klasifikasi Kelas Situs di Kota Serang Provinsi Banten Widjayanti, Retno Yogi; AL HS, Usholl Auli; Rahman, Adtya Setyo; Permana, Dimas; Alfiandy, Solih
Buletin GAW Bariri (BGB) Vol 6 No 1 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i1.128

Abstract

Serang City exhibits a high level of seismic vulnerability due to its tectonic position near the convergent boundary between the Indo – Australian and Eurasian plates. Additionally, the local geological conditions, which are dominated by alluvial deposits, make seismic waves more susceptible to amplification and resonance, thereby increasing earthquake hazard potential. The objective of this research is to identify site class characteristics and calculate surface PGA values to assess seismic threat levels in the urban area. The data used include ground acceleration values from microzonation maps, local geological information, and regional seismic parameters. The analysis was conducted by classifying site conditions based on the average shear wave velocity to a depth of 30 meters (Vs30), and by estimating surface PGA values using local amplification factors. The results indicate that most areas of Serang City are classified as SE site class (soft soil), followed by SD site class (medium soil), predominantly in the southwestern part of the city. Surface peak ground acceleration values range from 0.84 to 0.91 g, which are considered very high. These findings suggest that all six districts in Serang City–Serang, Cipocok Jaya, Taktakan, Curug, Kasemen, and Walantaka–are at significant seismic risk in the event of an earthquake. Therefore, appropriate risk mitigation strategies are essential, including the reinforcement of spatial planning systems, the design of earthquake – resistant structures, and the development of more detailed seismic microzonation maps.
Analisis Sebaran Data Curah Hujan di Provinsi DKI Jakarta sebagai Proses Quality Control Data Secara Spasial Pramono, Setyo Aji; Halida, Mutiara
Buletin GAW Bariri (BGB) Vol 6 No 1 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i1.139

Abstract

Rainfall plays an important role in the global water and energy cycle. Accurate rainfall predictions are very important to be used as a warning for hydrometeorological disasters. Therefore, it is necessary to calculate the relationship (correlation) of rainfall between regions to see the extent to which rainfall in one place affects rainfall in another place. It is also necessary to see the difference in rainfall values ​​between these regions to be used as a reference that this difference in value is the minimum acceptable value. The Spatial Quality Control (QC) method is used to see the difference in rainfall values ​​between locations. This method uses the calculation of rainfall data correlation, then an analysis is carried out from the results of the correlation value and associated with the distance between the locations. The results obtained are that the distance considered ideal in the rainfall phenomenon in Jakarta Province is 7.9 km with a correlation value above 0.71, while the average rainfall value that is still considered good is below 10 mm / day.
Peningkatan Literasi Perubahan Iklim Generasi Muda di Universitas Muhammadiyah Sorong Syafaati, Ayu Diah; Satria, Budi
Buletin GAW Bariri (BGB) Vol 6 No 1 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i1.140

Abstract

Climate change has become a crucial issue affecting various aspects of life worldwide. The younger generation plays a vital role as agents of change in mitigating the impacts of climate change by increasing literacy and awareness of this issue. This study aims to examine the improvement of climate change literacy among young people in Muhammadiyah University of Sorong through an intervention in the form of material exposure. The research employs both quantitative and qualitative approaches with a pretest and post-test design, as well as the creation of climate action content. The intervention is conducted by providing material on climate change before the post-test is administered. Data is analyzed using the Normality Test and Hypothesis Test. The Paired Sample T – test is used as the Hypothesis Test to determine the difference in literacy levels before and after the intervention. A significant increase in students' understanding of climate change was observed, rising from 46% to 73%. The results indicate a significant improvement in climate change literacy after the intervention, demonstrating the effectiveness of this method.
Pemanfaatan Metode Fuzzy Logic dalam Memprakirakan Hujan (2025 – 2030) di Stasiun Meteorologi Kelas I Sultan Hasanuddin Prasetiyo, Adi; Husain, Husain; Subaer, Subaer; Arsyad, Muhammad; Palloan, Pariabti
Buletin GAW Bariri (BGB) Vol 6 No 1 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i1.146

Abstract

Sultan Hasanuddin International Airport is an airport with a unique topography, making the process of rainfall formation at this airport very dynamic. To ensure safe flight operations at Sultan Hasanuddin International Airport, rainfall forecasting is needed using fuzzy logic methods, with input data influencing rainfall formation, such as precipitable water, relative vorticity, and divergence. In this study, the data used for applying fuzzy logic can be divided into three types: training data (for developing the fuzzy logic method), validation data (for validating the fuzzy logic method), and testing data (for testing the fuzzy logic method). Therefore, validating the fuzzy logic method to obtain results and accuracy of rainfall events, as well as testing the fuzzy logic method for rainfall event forecasting, are the goals of this research. The precipitable water, relative vorticity, divergence, and rainfall data in this study are divided into three types: training data (2010 – 2021), validation data (2022 – 2024), and testing data (2025 – 2030). The validation results for 2022 – 2024 were dominated by non – rain events, with 7.051 occurrences, while there were 948 occurrences of rain events. The accuracy of the fuzzy logic validation method was found to be 78.58% during 2022 – 2024, allowing the fuzzy logic method to be applied for forecasting rainfall events in 2025 – 2030, beginning with the creation of input data using the moving linear regression algorithm. The forecasting results for 2025 – 2030 using the fuzzy logic method were dominated by non – rain events, with 15.232 occurrences, while there were 2.296 occurrences of rain events.
Analisis Arah dan Kecepatan Angin Permukaan untuk Operasional Penerbangan di Bandara Internasional Zainuddin Abdul Madjid Primadi, Topan Satria; Dewita, Anggi; Zulaichah, Nur Siti; Dewi, Aprilia Mustika
Buletin GAW Bariri (BGB) Vol 6 No 1 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i1.148

Abstract

Zainuddin Abdul Madjid International Airport (BIZAM), located on Lombok Island, serves both international and domestic flight operations. In aviation, wind effects are categorized as headwind, tailwind, and crosswind. However, tailwind and crosswind with significant speeds are generally considered hazardous to flights. This research aims to analyze surface wind direction and speed patterns at BIZAM to identify potential flight risks associated with tailwind and crosswind phenomena and provide appropriate mitigation recommendations. The study employed windrose diagrams and statistical methods, using 10 years of surface wind direction and speed data (2014–2023) obtained from synoptic observations at the Class II Zainuddin Abdul Madjid Meteorological Station. Findings indicate that wind patterns in the BIZAM area are influenced by monsoon wind movements, with peak wind speeds exceeding ≥21.58 knots. A significant temporal shift in wind dominance was observed: westerly winds (from the west to southwest sector) are now dominant not only from December to February but also extend into March. Conversely, the dominance of winds from the southeast sector begins earlier, in April, and persists until December, reflecting the Australian Monsoon's earlier onset and longer duration than usual. The highest incidence of crosswind events with speeds >13 knots was recorded in December, accounting for 0.15%. Assuming aircraft are landing on Runway 31, pilots are recommended to use this runway in January, February, March, and December, as the percentage of tailwind during these months is lower than the percentage of headwind. Given the potential hazards posed by crosswind and tailwind events, pilots and flight operators are advised to exercise caution when flying during these months.
Perspektif Masyarakat Sulawesi Tengah terhadap Isu dan Dampak Perubahan Iklim Alfiandy, Solih; Hamid, Syarwan; Ilahi, Asep Firman; Sunardi, Sunardi
Buletin GAW Bariri (BGB) Vol 6 No 1 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i1.152

Abstract

Limited public understanding and perception of climate change indicate that adaptive capacity at the local level remains constrained. This study aims to examine the perceptions, awareness, and engagement of Central Sulawesi communities regarding climate change. A mixed-mode survey—offline and online—was conducted using a questionnaire with 14 structured items and an open-ended essay prompt for additional suggestions. From the sampled respondents drawn from the entire population of Central Sulawesi, the Margin of Error (MoE) was calculated at 7.92%, with a confidence level of 92.08%. The findings reveal that 96% of participants are aware of climate change, although only a small proportion consider themselves well-informed. Furthermore, 75% regard climate change education as highly important, and 96% identify social media as an effective means for disseminating climate knowledge. Moreover, 43% of respondents believe climate change significantly affects their lives, and 45% express concern about its impacts. A majority support mitigation efforts, endorsing reforestation and educational programs as priority strategies. While public awareness appears relatively high, a gap persists between knowledge and tangible action. These insights highlight community readiness—and existing limitations—for supporting local-level climate change interventions.
Pengaruh ENSO terhadap Curah Hujan di Sulawesi Tengah Rangga, Imron Ade; Zuhrita, Annisa; Zalsabilah, Putri
Buletin GAW Bariri (BGB) Vol 6 No 2 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i2.145

Abstract

The El Nino – Southern Oscillation (ENSO) has an influences rainfall variability in Central Sulawesi. This study aims to analyze the relationship between ENSO, measured using the Oceanic Nino Index (ONI), and rainfall anomalies at four observation locations: Stamet Luwuk, Poso, Toli – Toli, and Palu. Rainfall data were obtained from BMKG meteorological station observations, while ONI data were sourced from the Climate Prediction Center (CPC) for the period 1991–2024. Analysis was conducted using Pearson correlation and the coefficient of determination to assess the relationship between ENSO and rainfall anomalies. The study results indicate that, in general, El Nino tends to cause a decrease in rainfall, whereas La Nina is often associated with increased rainfall. However, the influence of ENSO is not uniform across all regions and largely depends on its intensity. A relatively strong negative correlation was found in Stamet Toli – Toli and Palu, whereas in Luwuk and Poso, other factors such as local atmospheric variability and intraseasonal phenomena played a more dominant role in determining rainfall patterns. Strong and Very Strong El Nino events have a more significant impact on reducing rainfall, while La Nina exhibits a more varied pattern of influence.
Kalibrasi Estimasi Curah Hujan CHIRPS dengan Data Observasi di Semarang Jatmiko, Retnadi Heru; Ismail, Prayoga
Buletin GAW Bariri (BGB) Vol 6 No 2 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i2.147

Abstract

Precipitation is a crucial component of weather and climate, playing a fundamental role in the Earth's water cycle. However, in situ, rain gauge networks are still limited in their ability to comprehensively monitor precipitation across all regions, including Semarang regency and city. Satellite – based remote sensing and cloud computing technology, such as Google Earth Engine (GEE), offer a solution for generating rainfall estimates with spatial coverage. This study optimizes CHIRPS rainfall estimates through a calibration process using BMKG rain gauge data over the Semarang region for 2021 – 2023. It evaluates the spatial distribution and performance of CHIRPS before and after calibration. Compared to observational data, the original CHIRPS dataset exhibited significant spatial discrepancies, with a daily RMSE of 44 mm/day, a coefficient of determination (RSQ) of 0.02, and a SMAPE of 99%. The collinearity analysis showed that the relationship between CHIRPS and observational data tends to be scattered and less linear on a daily scale, but after calibration, this relationship becomes stronger. Calibration using the Geographical Differential Analysis (GDA) method successfully improved CHIRPS accuracy, as indicated by a reduction in daily RMSE to 25 mm/day, an increase in daily RSQ to 0.62, and a decrease in daily SMAPE to 70%. These improvements were also observed in monthly and annual rainfall estimates. The calibrated CHIRPS data exhibited enhanced spatial distribution and performance, with a 10% reduction in annual RMSE, a 25% increase in annual RSQ, and a 20% decrease in annual SMAPE compared to the original dataset. Furthermore, sensitivity to rainfall intensity improved, particularly for heavy to extreme rainfall events, as evidenced by a 58% reduction in the FAR, a 73% increase in the POD, and a 48% improvement in the CSI.
Penggunaan Proyeksi Iklim untuk Optimalisasi Tata Tanam dengan Kc Berbeda (Studi Kasus : Tanaman Jagung di Satu Titik Tertentu di Jawa Timur) Amalia, Aqila; Herlina, Ninuk; Kurniawan, Andang
Buletin GAW Bariri (BGB) Vol 6 No 2 (2025): BULETIN GAW BARIRI
Publisher : Stasiun Pemantau Atmosfer Global Lore Lindu Bariri - Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/bgb.v6i2.150

Abstract

Planting plans in East Java have not yet incorporated climate information. Maize cropping plan is affected by climate change. Many studies related to climate and agriculture still rely on a constant crop coefficient (Kc). This research aims to provide an overview of the use of climate projections in planting plans by employing two different Kc approaches (constant and variative). The 8.5 emission scenarios, subsequently used as inputs in RegCM4 and CSIROMk3.6, used as input of climate change information. Historical interpolated rainfall observation data from 1991 – 2020 (official operational data) is utilized to correct projected rainfall. Projected maximum, average, and minimum temperature data are used to calculate evapotranspiration, which is then refined using in – situ openpan evaporimeter data. Soil water availability is calculated based on parameters outlined in the FAO56 document. Irrigation requirement data is derived from the difference between water availability and the target, determined by the depletion factor using two distinct Kc approaches. The results illustrate how climate projection information, corrected with in-situ data, can be applied to future planning (2021 – 2050 and 2051 – 2080). Consistent with the theory, water availability is expected to decrease, potential harvests to decline, and irrigation needs to rise. This study provides quantitative data that can be further utilized. Future research should consider that employing constant Kc may lead to significant discrepancies in water requirement calculations, contrast with the fact that each plant growth phase has different Kc.

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