Kepadatan penduduk mempunyai pengar

Kepadatan penduduk mempunyai pengaruh tersendiri terhadap ciri-ciri demografi dan soial. Maka kefahaman terhadap kepadatan penduduk menjadi isu penting untuk dikaji. Dengan menggunakan seluruh daerah di Semenanjung Malaysia, tesis ini cuba membuktikan bahawa kepadatan penduduk sebagai angkubah penting dalam memahami ciri-ciri demografi dan sosial, di mana penyebaran penduduk dan kepadatan penduduk yang rendah dilihat sebagai masalah secara teori dan pratis dalam kalangan perancang bandar. Data sekunder iaitu data banci 2010 telah dikumpul menerusi Jabatan Perangkaan Malaysia, melibatkan 81 daerah untuk mengkaji hubungan antara kepadatan penduduk dengan indikator-indikator demografi dan sosial. Analisis Korelasi Pearson dilakukan dengan menggunakan perisian SPSS bagi menentukan kekuatan perhubungan empirikal antara kepadatan penduduk dengan indikator-indikator demografi dan sosial. Bagi setiap perhubungan antara kepadatan dan indikator yang dipilih ujian hipotesis dilakukan menggunakan paras kejituan 99 peratus (ralat piawai 1%) bagi menentukan kewujudan pertalian yang signifikan atau tidak. Kajian menunjukkan bahawa kepadatan penduduk mempunyai pertalian yang penting dengan indikator demografi dan sosial. Daripada 19 indikator yang diuji (nilai p

Hasil (Inggris) 1:

Population density has its own influence on the demographic characteristics and soial. The understanding of population density become significant issues for review. By using the entire districts in Peninsular Malaysia, this thesis tries to prove that population density as variables important in understanding the characteristics of the demographic and social, where the spread of the population and the low population density is seen as a problem in theory and pratis among urban planners. Secondary data is data which has been collected through the Census 2010 Department of statistics Malaysia, involving 81 districts to review the relationship between the population density with demographic and social indikator-indikator. Pearson correlation analysis was performed using SPSS to determine the strength of the empirical relationship between the population density with demographic and social indikator-indikator. For every relationship between density and selected indicators performed using hypothesis testing precision of level 99 percent (standard error 1%) to determine the existence of significant relationship or not. Studies show that population density has a significant relationship with social and demographic indicators. Of the 19 indicators tested (p value of < 0.05), the population density is not related to the 2 indicators only. In discussing this relationship results summary being made that population density was variables important to understand and explain the characteristics of the demographic and social in an area. Summary of these findings the town planner will be able to better understand the role of population density and the steps to be taken to solve the problem of imbalance of population density.

Hasil (Inggris) 2:

Overcrowding has its own influence on the demographic characteristics and soial. The understanding of the population is an important issue to be studied. With all regions in Peninsular Malaysia, this paper tries to prove that the overcrowding as an important variable in understanding the demographic characteristics and social, in which the distribution of the population and low population densities are seen as a problem in theory and pratis among urban planners. Secondary data that is census 2010 data were collected through the Department of Statistics Malaysia, involving 81 districts to study the relationship between population density and demographic indicators and social. Pearson correlation analysis was performed using SPSS software to determine the strength of the empirical relationship between population density and demographic indicators and social. For each relationship between the density and the selected indicators hypothesis testing was conducted using a 99 percent level of precision (standard error of 1%) to determine the existence of a significant relationship or not. Studies show that population density has a significant relationship with demographic and social indicators. Of the 19 indicators tested (p <0.05), the population density is not related to the two indicators alone. In discussing the results of this relationship have been made that the formulation of population density is an important variable to understand and clarify its demographic and social characteristics in an area. Formulations of the present invention enables planners to better understand the role of population density and the steps to be taken to solve the problem of overcrowding imbalance.