Nofiandri (2015) Regresi Linear Ganda Data Panel Denganestimasi Generalized Method Of Moment (Gmm) Pada Angka Kejadian Penyakit Malaria Di Maluku Utara 2010-2014. Thesis thesis, UNIVERSITAS AIRLANGGA.

	Text (HALAMAN JUDUL) 1. HALAMAN JUDUL.pdf Download (773kB)
	Text (ABSTRAK) 2. ABSTRACT.pdf Download (556kB)
	Text (DAFTAR ISI) 3. DAFTAR ISI.pdf Download (587kB)
	Text (BAB I) 4. BAB I PENDAHULUAN.pdf Download (600kB)
	Text (BAB II) 5. BAB II TINJAUAN PUSTAKA.pdf Restricted to Registered users only until 20 May 2023. Download (3MB) | Request a copy
	Text (BAB III) 6. BAB III ALGORITMA PENELITIAN.pdf Restricted to Registered users only until 20 May 2023. Download (570kB) | Request a copy
	Text (BAB IV) 7. BAB IV METODE PENELITIAN.pdf Restricted to Registered users only until 20 May 2023. Download (569kB) | Request a copy
	Text (BAB V) 8. BAB V HASIL ANALISIS DATA.pdf Restricted to Registered users only until 20 May 2023. Download (764kB) | Request a copy
	Text (BAB VI) 9. BAB VI PEMBAHASAN.pdf Restricted to Registered users only until 20 May 2023. Download (627kB) | Request a copy
	Text (BAB VII) 10.BAB VII PENUTUP.pdf Restricted to Registered users only until 20 May 2023. Download (548kB) | Request a copy
	Text (DAFTAR PUSTAKA) 11. DAFTAR PUSTAKA.pdf Download (587kB)
	Text (LAMPIRAN) 12. LAMPIRAN .pdf Restricted to Registered users only until 20 May 2023. Download (880kB) | Request a copy

Abstract

The reason of using GMM is this method as asemiparametric estimation which used frequently on data which has some information about the distribution (Greene, 2008). The incidence of malaria is closely related to climate change that affect the growth and spread of various infectious diseases, including through the intermediary of mosquitoes. Climatic factors is one of the indirect factors that affect the occurrence of malaria. The climatic factors are the air temperature, precipitation, solar radiation, humidity and wind speed. North Maluku is one of the endemic area of malaria. This study aims to estimate parameters of multiple linear regression model panel data with Generalized Method of Moment (GMM) and apply multiple linear regression panel data with GMM estimates on the incidence of malaria to the climate through data of 2010-2014 in North Maluku. This study include the study of non-reactive. The data obtained from the Department of Health Malaria North Maluku while climate of BMKG of. North Maluku Province in 2010-2014, the results of multiple linear regression analysis using panel data with GMM estimation was found that from the five predictor variables that consist of temperature, humidity, rainfall, wind speed and solar radiation, there only three variables (rainfall, wind speed and irradiation Sun) that affect to the incidence of malaria inNorth Maluku Province. Effective contribution to Y, with the value of R square = 0.934. This indicates that the effective contribution of variables significantly to the rise and fall of Y by 93.4%, while other factors contribute to the Y at 6.6%.

Actions (login required)

View Item