Analisis Pola Persebaran Puskesmas di Surabaya Menggunakan Spatial Poisson Point Process

Kusumaningrum, Choriah Margareta (2017) Analisis Pola Persebaran Puskesmas di Surabaya Menggunakan Spatial Poisson Point Process. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

[thumbnail of 1313100047-Undergraduate_Theses.pdf]
Preview
Text
1313100047-Undergraduate_Theses.pdf - Published Version

Download (1MB) | Preview

Abstract

Puskesmas merupakan salah satu fasilitas pelayanan kesehatan yang terdekat dengan masyarakat, yang berfungsi sebagai upaya kesehatan masyarakat dan perorangan tingkat pertama untuk mencapai derajat kesehatan masyarakat setinggi-tingginya. Ukuran ideal dari sebuah puskesmas adalah dapat mencangkup 30.000 penduduk. Kesenjangan jumlah cakupan per puskesmas terjadi di Surabaya, hal ini merupakan indikasi kurang meratanya persebaran lokasi puskesmas di Surabaya. Oleh karena itu pada penelitian ini dilakukan analisis dengan menggunakan model Spatial Poisson Point Process untuk mendapatkan efektifitas lokasi puskesmas di Surabaya dilihat dari posisi/lokasi pus-kesmas di wilayahnya. Hasil analisis yang diperoleh didapatkan bahwa pola persebaran puskesmas di Surabaya tidak homogen atau inhomogeneous Poisson process, kemudian didapatkan model dari intensitas kepadatan puskesmas di Surabaya dengan menggunakan mixture Poisson regression. Model yang diperoleh tidak ada variabel covariate yang memiliki pengaruh signifikan terhadap penambahan puskesmas. Efektifitas penambahan puskesmas di Surabaya perlu mempertimbangkan variabel covariate area seperti jumlah penduduk dan mempertimbangkan batas wilayah per kecamatan.
========================================================
Health center (Puskesmas) is one of the closest health service facilities for the community, which serves as one of the government’s effort to enhance the level of public health. The Increasing number of health center does not directly describe the fulfillment of basic health services needed in a region. Community health center which can cover up to maximum 30,000 people is the ideal size of one health center. The gap in coverage of each health center in Surabaya, this is an indication of the unbalance spread of health center in Surabaya. Therefore, this research aims to analyze the spread of health center in Surabaya using Spatial Poisson Point Process model in order to get the effective location of Surabaya’s health center which based on position/location of health center of each Surabaya’s area. The results of the analysis state that the distribution pattern of health center in Surabaya is not homogenous or called inhomogeneous Poisson process. Based on the model obtained by the simulation result, there are no covariate that have significant influence on the addition of health center. The effectiveness of the addition of health center in Surabaya need to consider variable of covariate area such as population and borderline in each district

Item Type: Thesis (Undergraduate)
Additional Information: RSSt 519.53 Kus a
Uncontrolled Keywords: Mixture Poisson Regression, Puskesmas,Spatial Poisson Point Process
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HA Statistics > HA30.3 Time-series analysis
Divisions: Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: Choriah Margareta Kusumaningrum
Date Deposited: 14 Feb 2018 02:44
Last Modified: 05 Mar 2019 08:27
URI: http://repository.its.ac.id/id/eprint/47812

Actions (login required)

View Item View Item