Abstract
The wind is the horizontal movement of air masses. Wind can occur if there is any difference in pressure between one place to another place. The pattern from the wind movement is the direction and velocity. That pattern becomes a part to influence the rainfall. This research is to determine the direction and velocity of wind who more dominant happens in the Tangerang district using a windrose method and to determine the relationship between the direction and velocity of wind to the distribution of rainfall with multiple linear regression analysis. This research uses secondary data which is daily data during the period of January 2011 to December 2020 and then the data will be processed using WRPLOT and Minitab software. Based on the results using the windrose method the data obtained that the direction of the wind is more dominant blows from the west to the east with an average wind speed of 2.93 m/s. Through the Kolmogorov-Smirnov test, the rainfall distribution test in the Tangerang district is normally distributed. The results of multiple linear regression show that wind has a negative effect on rainfall. The highest rainfall occurred in February 2020 as much as 556 mm with the wind blowing from the west-northwest.
Highlights
The wind is the horizontal movement of air masses
Wind can occur if there is any difference in pressure
dominant happens in the Tangerang district using a windrose method
Summary
Dalam penelitian ini digunakan data harian arah dan kecepatan angin, serta curah hujan dari BMKG Budiarto Curug Tangerang periode Januari 2011 sampai dengan Desember 2020. Data arah dan kecepatan angin kemudian disimpan dalam Ms.Exel yang kemudian akan digunakan untuk analisis dengan metode windrose berbantuan software WRPLOT View versi 8.0.2. X = Nilai rata - rata hujan Sd = Standar deviasi (simpangan baku) YT = Nilai reduksi variat (reduced variate) dari variabel yang diharapkan terjadi pada periode ulang T tahun Yn = Niilai rata-rata dari reduksi variat (reduce mean) nilainya tergantung dari jumlah data (n) Sn = Deviasi standar dari reduksi variat (reduced standart deviation) nilainya tergantung dari jumlah data (n) Analisis regresi linear berganda ini digunakan untuk mengetahui sejauh mana. Hubungan sebuah variable bebas yaitu curah hujan (Y) dengan beberapa variabel tak bebas yaitu temperature (X1), kelembaban (X2), kecepatan angin (X3) dan tekanan udara (X4), maka digunakan Persamaan 3 regresi linear berganda adalah sebagai berikut [10]:.
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