Prediksi Tinggi Curah Hujan Dan Kecepatan Angin Berdasarkan Data Cuaca Dengan Penerapan Algoritma Artificial Neural Network (Ann)

Panggabean, Doni Albert Hasiholan; Sihombing, Firman Maranatha; Aruan, Nenni Mona

doi:10.47002/seminastika.v3i1.237

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…Kecepatan ideal yang dibutuhkan nyamuk adalah dibawah 25-31 mil/jam. menurut (Panggabean, 2021) kecepatan angin dapat dapat memprediksi tingkat 54 curah hujan, tinggi rendahnya curah hujan pada suatu daerah mempengaruhi perkembangbiakan vektor, tidak hanya itu curah hujan yang tinggi juga akan berdampak pada tingkat kelembaban udara dan suhu. Penyakit DBD adalah penyakit infeksi yang disebabkan oleh virus dengue yang mengakibatkan demam akut.…”

Section: Kejadian Kasus Penyakit Dbd Berdasarkan Kondisi Iklim (Curah...unclassified

Studi Kejadian Penyakit DBD di Wilayah Kerja Puskesmas Luwuk Berdasarkan Kondisi Iklim

Magdalena,

Balebu,

Sakati

2023

BKM

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Penyakit DBD adalah penyakit infeksi yang ditularkan oleh virus dengan bantuan nyamuk Aedes Aegypti. Peningkatan dan penurunan kasus DBD membutuhkan bantuan iklim dalam penyebaran, unsur iklim yang berupa suhu, kelembaban, curah hujan dan kecepatan angin ikut berperan dalam mendukung perkembangbiakan vektor. Tujuan dari penelitian adalah untuk menggambarkan kasus kejadian penyakit DBD di Wilayah Kerja Puskesmas Simpong berdasarkan kondisi iklim. Pada lima tahun terakhir yakni pada tahun 2017 sampai dengan tahun 2021.Jenis penelitian ini adalah penelitian deskriptif, dengan menggunakan data sekunder, data Kasus DBD di dapatkan dari Puskesmas Simpong dan data kondisi iklim yang merupakan suhu, kelembaban, curah hujan dan kecepatan angin didapatkan dari kantor BMKG Kabupaten, data diolah menggunakan aplikasi excel, serta penyajian data berupa tabel dan grafik. Hasil analisis trend Kasus DBD yang disandingkan dengan kondisi iklim, gambaran kejadian kasus DBD berdasarkan suhu udara, terdapat adanya kasus penyakit pada suhu tidak normal, kejadian kasus DBD berdasarkan kelembaban terdapat kasus pada bulan dengan tingkat kelembaban normal, kejadian kasus DBD berdasarkan curah hujan terdapat kasus pada bulan dengan tingkat kondisi tinggi dan terdapat kasus pada bulan dengan tingkat curah hujan rendah, kejadian kasus DBD berdasarkan kecepatan angin, terdapat kasus pada bulan dengan tingkat kecepatan angin normal atau < 25-31 mil/jam. Perlu adanya peningkatan kewaspadaan dini dan upaya pencegahan terhadap kejadian DBD pada akhir tahun dan awal tahun. Dengue fever is an infectious disease that is transmitted by a virus with the help of the Aedes aegypti mosquito. The increase and decrease in DHF cases requires climate assistance in spreading, climatic elements in the form of temperature, humidity, rainfall and wind speed play a role in supporting vector breeding. The aim of this study was to describe cases of dengue fever in the Simpong Health Center working area based on climatic conditions. In the last five years, namely from 2017 to 2021. This type of research is descriptive research, using secondary data, DHF case data was obtained from the Simpong Health Center and climate condition data namely temperature, humidity, rainfall and wind speed were obtained from district BMKG office, data is processed using the excel application, as well as data presentation in the form of tables and graphs. The results of trend analysis of DHF cases coupled with climatic conditions, an overview of the incidence of DHF cases based on air temperature, there are cases of disease at abnormal temperatures, the incidence of DHF cases based on humidity there are cases in months with normal humidity levels, the incidence of DHF cases based on rainfall there are cases in months with high levels of conditions and there are cases in months with low levels of rainfall, the incidence of DHF cases is based on wind speed, there are cases in months with normal wind speeds or <25-31 mph. There is a need to increase early awareness and prevention efforts against DHF incidents at the end of the year and at the beginning of the year.

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Section: Kejadian Kasus Penyakit Dbd Berdasarkan Kondisi Iklim (Curah...unclassified

Studi Kejadian Penyakit DBD di Wilayah Kerja Puskesmas Luwuk Berdasarkan Kondisi Iklim

Magdalena,

Balebu,

Sakati

2023

BKM

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“…Air and sea transportation activities are carried out by considering weather conditions such as rainfall and wind speed. Therefore, rainfall and wind speed forecasts are important for the success of all planned transportation activities [1].…”

Section: Introductionmentioning

confidence: 99%

Vector Autoregressive With Outlier Detection on Rainfall and Wind Speed Data

Lestari,

Sulistianingsih,

Perdana

2024

BAREKENG: J. Math. & App.

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Vector Autoregressive (VAR) is a multivariate time series model that analyzes more than one variable where each variable in the model is endogenous. VAR is one of the models used in forecasting rainfall and wind speed. In observations of rainfall and wind speed, there are usually a series of events whose values are far from other observations or can be said to be outliers. The purpose of this study is to compare the VAR model on rainfall and wind speed data before and after outlier detection. This study uses secondary data, namely monthly data on rainfall and wind speed from 2019 to 2021. From the analysis results, the smallest AIC value obtained in the VAR model before outlier detection was 4.94, then the smallest AIC value in the VAR model after outlier detection was 0.25. Thus, it can be concluded that the best model is obtained in the VAR model after outlier detection seen from the smallest AIC value of the two VAR models.

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Prediksi Tinggi Curah Hujan Dan Kecepatan Angin Berdasarkan Data Cuaca Dengan Penerapan Algoritma Artificial Neural Network (Ann)

Cited by 2 publications

References 1 publication

Studi Kejadian Penyakit DBD di Wilayah Kerja Puskesmas Luwuk Berdasarkan Kondisi Iklim

Studi Kejadian Penyakit DBD di Wilayah Kerja Puskesmas Luwuk Berdasarkan Kondisi Iklim

Vector Autoregressive With Outlier Detection on Rainfall and Wind Speed Data

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