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Topography Effects on Rainfall Characteristics in Bandung City and Cilacap Regency for the 2016-2020 Period Afghani, Fadhli Aslama; Mashuri, Imawan; Khirtin, Ramadoni; Cahyo, Muhammad Adi
Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Vol. 20 No. 2 (2023): Sainmatika : Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/sainmatika.v20i2.11898

Abstract

Topography and rainfall correlate with each other. Therefore, this study aims to determine the effect of topography on rainfall characteristicss in the Cilacap and Bandung areas. The research method used is a descriptive statistical analysis of average monthly, seasonal, and annual rainfall. In addition, time series and regression tests were carried out using the SPSS application. The data used is the daily rainfall data period of 2016–2020. The results of the descriptive analysis show that the variability of monthly rainfall in Bandung is higher than in Cilacap, with a value range that is 113.6–643.82 mm/month for Bandung and 92.1-355.56 mm/month for Cilacap. Global climate dynamics for instance apparent sun motion, Monsoon, ITCZ, ENSO, and IOD, as well as local weather systems like valley winds, also affect seasonal and annual rainfall variability in Bandung and Cilacap. The rainfall time series test produces values that are not stationary concerning the variance but stationary concerning the average. A simple linear regression test shows the effect of a topography of 55.2% on rainfall. The purpose of simple linear regression is to understand and model the relationship between two variables: the independent variable (topography) and the dependent variable (rainfall characteristics).
Long-Term Changes In Rainfall Under Climate Change In East Nusa Tenggara Province 1971-2020 Wibowo, Ofana Tri; Afghani, Fadhli Aslama; Mashuri, Imawan; Asifin, Hasyid Agha Zuhairul
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat132569172024

Abstract

The current climate change is when the Earth's temperature increases due to increased greenhouse gas concentrations. The increase in greenhouse gasses has the potential to change the global climate system, one of which can impact changes in rainfall patterns. As a result, changes occur in various aspects of the planet, especially the atmosphere's composition, which can affect life on Earth. This study aims to analyze the characteristics of rainfall changes in East Nusa Tenggara Province during the 1971-2020 period. The data used is ERA5 reanalysis data in the form of daily rainfall with a spatial resolution of 0.25° X 0.25° for 50 years in East Nusa Tenggara Province for the period 1971-2020. The results of the analysis show that rainfall in East Nusa Tenggara Province has decreased from 1971-2020, with monthly and seasonal averages per period. The highest average monthly rainfall occurred in period 1 (1971-2000), with an average value of 137,491 mm, while the lowest value occurred in period 3 (1991-2020), with an average value of 125,242 mm. The highest average seasonal rainfall occurred in period 1 (1971-2000) of the DJF season, with an average of 757.19 mm, while the lowest value occurred in period 3 (1991-2020) of the SON season, with an average of 143.69 mm.
Long-Term Changes In Rainfall Under Climate Change In East Nusa Tenggara Province 1971-2020 Wibowo, Ofana Tri; Afghani, Fadhli Aslama; Mashuri, Imawan; Asifin, Hasyid Agha Zuhairul
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 13, No 2 (2024): September
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat132569172024

Abstract

The current climate change is when the Earth's temperature increases due to increased greenhouse gas concentrations. The increase in greenhouse gasses has the potential to change the global climate system, one of which can impact changes in rainfall patterns. As a result, changes occur in various aspects of the planet, especially the atmosphere's composition, which can affect life on Earth. This study aims to analyze the characteristics of rainfall changes in East Nusa Tenggara Province during the 1971-2020 period. The data used is ERA5 reanalysis data in the form of daily rainfall with a spatial resolution of 0.25° X 0.25° for 50 years in East Nusa Tenggara Province for the period 1971-2020. The results of the analysis show that rainfall in East Nusa Tenggara Province has decreased from 1971-2020, with monthly and seasonal averages per period. The highest average monthly rainfall occurred in period 1 (1971-2000), with an average value of 137,491 mm, while the lowest value occurred in period 3 (1991-2020), with an average value of 125,242 mm. The highest average seasonal rainfall occurred in period 1 (1971-2000) of the DJF season, with an average of 757.19 mm, while the lowest value occurred in period 3 (1991-2020) of the SON season, with an average of 143.69 mm.
Atmosphere Response to Tropical Cyclone Herman at Java Island Afghani, Fadhli Aslama
Navigation Physics : Journal of Physics Education Vol 6, No 2 (2024): Navigation Physics : Journal of Physics Education Vol. 6 No. 2 Tahun 2024
Publisher : UNIVERSITAS INDRAPRASTA PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/npjpe.v6i2.2594

Abstract

Indonesia, which is located in a tropical region, often experiences tropical cyclone phenomena. Tropical cyclones occur repeatedly every year with an occurrence time between February and April and last for 3-18 days. Many tropical cyclones have occurred in Indonesia, such as Tropical Cyclones Cempaka, Aamang, and Seroja. A natural phenomenon in the form of a cyclone that has recently occurred in Indonesia, namely Tropical Cyclone Herman. This research aims to analyze meteorological conditions during Tropical Cyclone Herman and its impact on rainfall on the island of Java. The data used in this research comes from ERA-5 for meteorological parameters, 13th band Himawari-9 satellite imagery (IR) for identification of Tropical Cyclone Herman, as well as identification of rainfall events from GSMaP from 29-31 March 2023 time interval 6 hours with the method used in the form of descriptive analysis. The development of Tropical Cyclone Herman was formed on March 29 2023 with the closest distance to Java Island on March 30 at 00:00 UTC of 673 km, which then moved further away with its furthest distance reaching 1093 km on March 31 2023 at 18:00 UTC. Tropical Cyclone Herman was triggered by cyclonic movements, Sea Surface Temperature (SST), Monsoon Trough (MT), and Intertropical Convergence Zone (ITCZ) conditions. This causes an updraft resulting in the growth and increase of convective clouds. On the other hand, moisture transport supports the conditions for the formation of rain on the island of Java which occurred after Tropical Cyclone Herman. The impact felt in the form of increased rainfall on the island of Java occurred on March 29 at 06:00 UTC and 12:00 UTC, March 30 at 00:00 UTC, 12:00 UTC and 18:00 UTC and March 31 at 06:00 UTC until 18:00 UTC with remote effect.
Kualitas Kenyamanan Iklim Termal di Pulau Geser Menggunakan Humidity Index, Holiday Climate Index, dan Temperature Humidity Index Afghani, Fadhli Aslama
Jurnal Sains Matematika dan Statistika Vol 11, No 1 (2025): JSMS Januari 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v11i1.30071

Abstract

Sektor pariwisata menjadi sektor ekonomi yang menjadi penyumbang terbesar bagi negara-negara du dunia bahkan di Indonesia yang dapat mencapai nilai Rp 634 trilium tahun 2017. Sektor pariwisata tidak lepas dari isu perubahan iklim yang telah melanda dunia karena iklim mempengaruhi daya tarik dan motivasi wisatawan terhadap suatu destinasi. Pulau Geser dengan beragam potensi pariwisata menjadi perhatian penting sehingga informasi pengeni tingkat kenyamanan iklim termal diperlukan serta perlunya rekomendasi waktu terbaik untuk berkunjung. Penelitian ini menggunakan data tahun 2014-2023 dari Stasiun Meteorologi Kuffar dengan mengkaji tingkat kenyamanan menggunakan Humidity Index (Humidex), Holiday Climate Index (HCI), dan Temperature Humidity Index (THI). Hasil yang didapatkan berupa terjadi kecenderungan tren yang meningkat untuk ketiga indeks kenyamanan pengaruhnya rendah sekali. Selain itu, frekuensi kriteria indeks yang mendominasi secara berturut-turut untuk Humidex, HCI, dan THI, yaitu “Perasaan Sangat Tidak Nyaman Hingga Menimbulkan Rasa Tersengat” (51.57%), “Baik” (52.12%), dan “Tidak Nyaman” (52.65%). Kalender pariwisata yang didapatkan menghasilkan kesimpulan bahwa waktu terbaik untuk mengunjungi Pulau Geser berlangsung selama bulan Juni-September. Hal ini terjadi karena kriteria setiap indeknya “Ditoleransi” (THI), “Nyaman” (HCI), dan “Tidak Nyaman” (Humidex).
Rainfall Conditions When Maden Julian Oscillation Strong and Weak: Temporal Distribution in Jakarta, Bogor, and Tangerang Wibowo, Ofana Tri; Afghani, Fadhli Aslama; Christofelts, John Pieter; Halawa, Jordana Christian
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 5, ISSUE 1, April 2024
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol5.iss1.art1

Abstract

The Indonesian Maritime Continent has high rainfall variability with one of the causes, namely the Madden Julian Oscillation (MJO), especially in phases 3, 4, and 5. Madden Julian Oscillation (MJO) and rainfall have a correlation with one another. Therefore, this study aims to determine the effect of MJO on rainfall conditions in terms of intensity and frequency of occurrence every three months from 2013-2022 in Jakarta, Bogor, and Tangerang. The research method used is descriptive statistical analysis in the form of quarterly rainfall averages and anomalies as well as the Pearson correlation test. The data used is daily rainfall data for the 2013-2022 period. The results of the descriptive analysis show that the highest average rainfall occurs in the DJF period and the lowest is in the JJA period with the anomalies occurring in the DJF and JJA periods. On the other hand, the lowest frequency of strong and weak MJO events occurs during JJA, while the highest occurs during the DJF period. The correlation test conducted between the Madden Julian Oscillation (MJO) and rainfall found that the highest positive correlation value was 0.197073 on MAM and the highest negative correlation on SON was -0.11866, so the relationship is weak.
Analysis of Monthly Rainfall Characteristics in Nusa Tenggara Timur and its Spatial and Temporal Shifts Afghani, Fadhli Aslama; Ofana Tri Wibowo; Imawan Mashuri; Zuhairul A, Hasyid Agha
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 5, ISSUE 1, April 2024
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol5.iss1.art9

Abstract

The spatial characteristics of rainfall in Nusa Tenggara Timu for the periods 1961-1990 and 1991-2020 show similarities in terms of topography influencing local variations in rainfall intensity. Additionally, inland areas and the northern side of region experience higher rainfall compared to the coastal areas and the southern side. On the other hand, temporal characteristics reveal a monsoonal rainfall pattern with peak precipitation occurring in January and the lowest rainfall in August. Furthermore, there is a normal shift in rainfall patterns between the two periods, marked by a reduction in the intensity of dark colors in the 1991-2020 period compared to 1961-1990. There is also a positive shift in normal rainfall values for the months of April and December, while the remaining months experience a negative shift.