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Pengaruh Fenomena Madden Julian Oscillation terhadap Curah Hujan di Indonesia Faras, Angelia Millenis; Putra, Yoga Satria; Adriat, Riza
PRISMA FISIKA Vol 13, No 2 (2025)
Publisher : FMIPA, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/pf.v13i2.69075

Abstract

Fenomena Madden Julian Oscillation (MJO) merupakan fenomena yang dapat memengaruhi curah hujan di Indonesia. Penelitian ini dilakukan untuk mengetahui pengaruh fenomena MJO fase 3,4,5 terhadap variabilitas curah hujan di wilayah Indonesia. Metode yang digunakan adalah analisis komposit terhadap parameter cuaca meliputi angin zonal dan curah hujan selama periode Desember, Januari, dan Februari pada tahun 2016 hingga tahun 2022. Hasil penelitian menunjukkan bahwa pengaruh dari MJO fase 3 dan 4 dapat meningkatkan intensitas curah hujan di wilayah Indonesia, dengan nilai rata-rata spasial masing-masing sebesar 35,81% dan 18,98%. Peningkatan intensitas curah hujan tertinggi selama MJO fase 3 dan 4 berada di Laut Halmahera masing-masing sebesar 350% dan 450%. Pada MJO fase 5 terjadi penurunan intensitas curah hujan di wilayah Indonesia sebesar 0,05% dan di pulau Sumatra bagian barat mengalami penurunan intensitas curah hujan sebesar 100% dari kondisi klimatologinya.
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.
Drought Analysis in Ketapang District using the Keetch-Byram Drought Index Method Massuro, Lusyndatul; Adriat, Riza; Muliadi, Muliadi; Ihwan, Andi; Sutanto, Yuris
JURNAL GEOCELEBES Vol. 8 No. 2: October 2024
Publisher : Departemen Geofisika, FMIPA - Universitas Hasanuddin, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/geocelebes.v8i2.36474

Abstract

Ketapang Regency is one of the areas in West Kalimantan that is prone to drought. Drought can trigger forest and land fires. In this research, the Keetch-Byram Drought Index (KBDI) method was used to determine the level of drought in Ketapang Regency. The KBDI method relies on annual rainfall accumulation, daily rainfall, and maximum air temperature. The KBDI values obtained were correlated with the number of hotspots using Pearson correlation. This research was conducted throughout 2018-2022. Based on the monthly average KBDI value, the highest drought in Ketapang Regency occurred in August and September, while the lowest drought occurred in December and January. In terms of the annual average, the highest drought occurred in 2019. During the ENSO phenomenon in 2019, the El Niño phase experienced higher drought than the La Niña phase and normal years. In the El Niño phase, drought levels reach high to extreme categories. The correlation value between annual KBDI and the number of hotspots is 0.88, indicating a solid relationship. An increase in the KBDI value will be followed by an increasing number of hotspots.
The statistical parameters analysis of bed load grains in Sungai Kakap Waters, Kubu Raya Regency Salawati, Salawati; Putra, Yoga Satria; Muhardi, Muhardi; Nurhasanah, Nurhasanah; Adriat, Riza
Acta Aquatica: Aquatic Sciences Journal Acta Aquatica: Jurnal Ilmu Perairan, Vol. 9: No. 3 (December, 2022)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/aa.v9i3.8686

Abstract

This study aims to analyze the statistical parameters of bed load grains in Sungai Kakap Waters, Kubu Raya Regency, West Kalimantan Province. Bed load sampling was carried out at seven stations, with five sampling points each. The hydrometer test on the sample was carried out to determine the grain type and size of the bed load, and statistical parameter analysis to determine the mean size, sorting, skewness, and kurtosis. The results showed that the fraction of bed load in the form of sand was 38.54%, silt was 42.11%, and clay was 19.28%. The bed load was dominated by three types namely clay loam, loam, and silt loam. Based on the grain size parameters of the bed load, the mean size (in φ units) is 0.94 - 2.24, with the classification of coarse sand to fine sand. The results also showed that the sorting obtained is poorly sorted, the skewness of the sediment is very fine skewed, and the kurtosis is platykurtic.Keywords: bed load; sorting; skewness; kurtosis
Suspended sediment distribution pattern using remote sensing techniques in the Sambas River of Sambas Regency Putri, Tiara Nusa; Putra, Yoga Satria; Risko, Risko; Muhardi, Muhardi; Adriat, Riza
Acta Aquatica: Aquatic Sciences Journal Acta Aquatica: Jurnal Ilmu Perairan, Vol. 10: No. 2 (August, 2023)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/aa.v10i2.9841

Abstract

The Sambas River is part of the watershed of Sambas River which covers 71.03% of the total area of Sambas Regency. This river exhibits a mixed tidal regime with a tendency towards a double daily tide, which can cause sedimentation. Monitoring of this sedimentation can be conducted using remote sensing methods. The aim of this research is to analyze the concentration of suspended sediments based on direct measurements and appropriate algorithm processing. The data processing results from satellite images in 2022 using the Budhiman, Nurandani, and Lestari algorithms have a similar range of values to the direct measurements, ranging from 72 mg/L to 84 mg/L, although there are some data points that fall outside this range. However, the Budhiman algorithm demonstrates the best correlation with the direct measurements. The processed satellite data shows fluctuating values, indicating fluctuations in suspended sediment concentrations. Based on the conducted research, it is evident that the distribution pattern of suspended sediments in a river system can be analyzed using remote sensing techniques.Keywords: Remote Sensing; Suspended Sediment; Watershed
THE EFFECT OF LEAF AREA INDEX CHANGES ON LAND SURFACE TEMPERATURE IN WEST KALIMANTAN Aprilina Aprilina; Riza Adriat; Laras Toersilowati
International Journal of Remote Sensing and Earth Sciences Vol. 21 No. 1 (2024)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2024.v21.a3898

Abstract

West Kalimantan, located along the equator, is a tropical area with high surface temperatures. Decreasing forests or green spaces in this region could endanger the creatures living there, due to rising surface temperatures. Hence, analyzing the impact of Leaf Area Index changes on soil surface temperature is vital. This research employed remote sensing technology via the Terra-MODIS satellite to analyze this impact. The satellite imagery was used to determine Leaf Area Index (LAI) and Land Surface Temperature (LST), using image data from 2001 and 2021 in West Kalimantan Province. The research revealed that the region underwent changes, with wide pine forests being replaced by savanna land. The surface temperature value with the largest distribution area remained between 25ᵒC to 30ᵒC in both 2001 and 2021. LAI changes affected LST by 46% to 47%, but substantial changes require a significant number of years to observe.
Pemodelan Gelombang Laut Di Pantai Kijing Kabupaten Mempawah Dengan Pendekatan Komputasi Dinamika Fluida Okviani, Nadya; Putra, Yoga Satria; Ardianto, Randy; Muliadi, Muliadi; Adriat, Riza
Jurnal Kelautan Vol 18, No 3: Desember (2025)
Publisher : Department of Marine Sciences, Trunojoyo University of Madura, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/jk.v18i3.27496

Abstract

ABSTRACTSimulation and prediction of extreme waves are important issues in disaster mitigation and coastal infrastructure governance. Kijing Beach is one of the beaches in the West Kalimantan region, Mempawah, which often experiences high wave phenomena, one of which occurred on July 14, 2021, at 02.00 WIB which resulted in the collapse of the connecting road between the pier and the Kijing Port. Information on the mechanism of the occurrence of this large wave is quite important to study in more depth. This research applies a computational approach to fluid dynamics with Delft3D software using input data in the form of tidal components from TPXO 08, surface pressure wind components u and v from the European Center for Medium-Range Weather Forecasts (ECMWF), and bathymetry data from the General Bathymetric Chart of the Oceans (GEBCO). Wave modeling has been successfully carried out, which is validated using tidal data from the Automatic Weather Station (AWS) from the Pontianak Maritime Meteorological Station by showing the percentage value of the Mean Absolute Error (MAE) of 0.089. The value is included in the small category, and the correlation coefficient value is in a very strong category with a value of 0.96. Significant wave height analysis has also been successfully carried out by analyzing sampling points and spatial models, which show wave height results around Kijing Port ranging from 0.03 m to 0.21 m, and the dominant direction moves from the south to the northwest, north, and northeast.Keywords: Computational Fluid Dynamics, Delft3D, Kijing Beach, Ocean waves, Significant wave height.ABSTRAKSimulasi dan prediksi gelombang ekstrem merupakan suatu isu penting dalam melakukan mitigasi bencana dan tata kelola infrastruktur pesisir pantai. Pantai Kijing merupakan salah satu pantai di wilayah Kalimantan Barat, Mempawah yang sering mengalami fenomena gelombang tinggi, salah satunya terjadi pada tanggal 14 Juli 2021 pukul 02.00 WIB yang mengakibatkan jalan penghubung antara dermaga dan Pelabuhan Kijing roboh. Informasi mekanisme terjadinya gelombang besar ini cukup penting dikaji secara lebih mendalam. Penelitian ini menerapkan pendekatan komputasi dinamika fluida dengan software Delft3D menggunakan data input berupa komponen pasang surut dari TPXO 08, tekanan permukaan komponen angin u dan v dari European Centre for Medium-Range Weather Forecasts (ECMWF), dan data batimetri dari General Bathymetric Chart of the Oceans (GEBCO). Pemodelan gelombang telah berhasil dilakukan yang divalidasi menggunakan data pasang surut dari Automatic Weather Station (AWS) dari Stasiun Meteorologi Maritim Pontianak dengan menunjukkan nilai persentase kesalahan rata-rata absolut atau Mean Absolute Error (MAE) sebesar 0,089 dan nilainya tersebut masuk pada kategori kecil, kemudian untuk nilai koefisien korelasi masuk pada kategori yang sangat kuat dengan nilai sebesar 0,96. Analisis tinggi gelombang signifikan juga telah  berhasil  dilakukan  dengan  menganalisis  sampling point dan spasial model yang menunjukkan hasil tinggi gelombang di sekitar Pelabuhan Kijing berkisar antara 0,03 m hingga 0,21 m dan arahnya dominan bergerak dari arah selatan menuju ke barat laut, utara dan timur laut.Kata kunci: Delft3D, Gelombang laut, Komputasi dinamika fluida, Pantai Kijing, Tinggi gelombang signifikan.
Co-Authors . Apriansyah A.A. Ketut Agung Cahyawan W Abdul Muid Abdul Muid Agus Prasetiono Aliftha, Tita Anastasia Anastasia Andi Ihwan andriani, riski Angga Irfandi Yudistira Anggreni, Reni Annisa, Citra Agita Anugerah, Anugerah Aprilina Aprilina Aprilina, Aprilina Ardianto, Randy Ariyani, Riri Nur Arsyad, Ya' Muhammad Asih Astarini Azrul Azwar Bintoro Siswo Nugroho Delfi Warsita Masdat Dewanti, Yanuarti Pasta Dwiria Wahyuni Elfrida Ratnawati Erna Wati Eva, Theresia Faras, Angelia Millenis Febriana Diah Permata Fernanda, Anastasia Gracia Fitriani Fitriani Fransiska, Butet Galuh Utamia Dillayati Hajrul, Siti Hasanuddin Hasanuddin Heni Susiati Hidayat, Fitri Dayanti Irfana Diah Faryuni Jannati Jannati Jesiani, Eka Mey Joko Sampurno Joko Sampurno Jumarang, Muh Ishak Laras Toersilowati Mahavira Zen Massuro, Lusyndatul Mega Sari Juane Sofiana Merlyn Elsyani Monica Monica Muh. Ishak Jumarang Muhammad Sholeh Muhardi Muliadi Muliadi Muliadi Muliadi Muliadi Muliadi Muliadi Muliadi Nanda Darmawan Natasha, Ingga Niyati, Nurasniyati Noang, Aurel Vivaldi Novi, Maria Brigita Nugraha, Alfa Nur Fitri Nurhasanah Nurhasanah Nurhasanah Nurhasanah Nurhasanah Nurhasanah Nurhasanah Nurhasanah Okto Ivansyah Okviani, Nadya Perawiska, Erni Perdana, Radhitya Perdhana, Radhitya Prabowo, Ridho Puteri, Martsa Farindi Dwi Putri, Evi Pania Putri, Tiara Nusa Rahwanda Rahwanda Ramat, Muhammad Farhan Riri Nur Ariyani Risko, Risko Rista, Lorensiana Safitri, Andriani Salawati Salawati Salawati, Salawati Sariana Sariana, Sariana Satria Putra, Yoga Satyawardhana, Haries Siti Helmyati Suhardi Irawan Tantri, Oktaviana Toersilowati, RR. Laras Tri, Mario Andika Tyas Khansa Tsabita Wahyu Tri Hidayat Wahyuni, Ade Tri Wilnaldo, Andre Ya' Muhammad Arsyad Yani, Elyda Yoga Satria Putra Yoga Satria Putra Yudha Arman Yulia Agustin Yuris Sutanto Yusuf Arief Nurrahman Zibar, Zan Zulfian Zulfian