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Model Prediksi Angka ISPU CO dan PM10 dengan Faktor Meteorologis di DKI Jakarta Menggunakan LSTM / Emanuella M C Wattimena
Pengarang
Wattimena, Emanuella M C
Annisa (Pembimbing I)
Sitanggang, Imas Sukaesih (Pembimbing II)
Jenis bahan
Tesis
Edisi
-
Penerbitan
Bogor : IPB University, 2022
Deskripsi fisik
halaman :xiv, 35 : Ilustrasi ; ill ; 29 cm.
Bahasa
-
ISBN / ISSN / ISMN
-
Subjek
Matematika dan Ilmu Pengetahuan Alam-- Ilmu Komputer
Computer science-- Software engineering-- 2021-- DKI Jakarta
Abstrak
Jakarta is one of the areas in Indonesia that has poor air quality. This makes air quality in Jakarta a problem that deserves serious attention. Currently, the air quality standard index that is officially used in Indonesia is the Air Pollutant Standard Index (ISPU). ISPU calculations are carried out on 7 parameters, namely PM10, PM2.5, NO2, SO2, CO, O3, and HC. Of all ISPU parameters, the parameters that have a negative impact in a relatively small range are CO and PM10. One way to solve the problem of air pollution in DKI Jakarta is to make temporal predictions of air quality using data from the past. This study aims to create PM10 and CO prediction models in DKI Jakarta using LSTM with meteorological parameters as predictors, namely wind speed, solar radiation, humidity and air temperature to see how these variables affect the model. The data used in this study are ISPU data and weather data from January 1, 2017 to March 31, 2021. This study has successfully built a prediction model for CO and PM10 indices
Catatan
Tesis (Magister). -- IPB University, 2022
Akses online
http://repository.ipb.ac.id/handle/123456789/111032
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