Faktor Yang Mempengaruhi Kematian Ibu Di Propinsi Jawa Timur Tahun 2010
DOI:
https://doi.org/10.55316/hm.v6i1.89Keywords:
Keywords : Maternal Mortality, Zero inflated, PoissonAbstract
Zero inflated Poisson Regression Analysis Regression (ZIP) is used for discrete data modeling which is indicated by many 0 values on the dependent variable. The objective of this research was to model the factors that affecting maternal mortality rate in East Java in 2010 using ZIP. This was a non reactive research with profile of East Java Provincial Health Office in 2010 as the secondary data. The profile data were the results of health centers routine recapitulation from Information and Research and Development Section on the whole regencies/cities in East Java. The unit analysis in this research was 950 health centers in the regions of East Java. The estimated results of ZIP log model parameter showed that childbirth assistance by health practitioners (?7 = -0.050655), postnatal care (?8 = 0.004500), and pregnancy complications (?9 = -0.004528) affected the number of maternal deaths while the estimated parameter logit model showed that occurrence probability of maternal mortality in East Java in 2010 was determined by the delivery helped by health practitioners (?7 = - 0.0662297) and care during postnatal period (?7 = -0.012563). ZIP model (AIC = 2199.391) was better when compared with the Linear regression (AIC = 3996.563), and Poisson regression (AIC = 2392.636). Each increase in birth numbers helped by health practitioners would reduce maternal mortality by 0.9506 times. Postnatal services would influence about 1.0045 times on the increased risk of maternal death, the increased pregnancy complications, and also the increased of maternal mortality probability by 1.0045 times. The conclusion is that ZIP estimates the incidence of maternal mortality far better than other forms of discrete data with many 0 values on the dependent variable.
References
Andres, N. D. 2011. Pemodelan Penyakit Malaria Di Provinsi Jawa Barat Dengan Regresi Zero-Inflated Poisson. http://repository.upi.edu (sitasi tanggal 20 Maret 2012. pukul 20.09 WIB))
Arulita. 2007. Faktor-faktor Resiko yang Mempengaruhi Kematian Maternal (Studi Kasus di Kabupaten Cilacap). Tesis. FKM-Universitas Diponegoro Semarang.
Bohning, D., Dietz, E., Schlattmann, P. 2012. Zero Inflated Count Model and Their Applications in Public Health and Social Science. Paper dalam http://www.ipn.uni-kiel.de (sitasi tanggal 06 Maret 2012 pukul 08.03 WIB).
Cameron AC dan Trivedi PK. 1998. Regression Analysis of Count Data. Cambridge: Cambridge University.
Dinkes Kabupaten Cirebon. 2006. Profil Kesehatan Kabupaten Cirebon tahun 2006. Cirebon: Dinas Kesehatan Kabupaten Cirebon.
Fauziah dan Sutejo. 2012. Keperawatan Maternitas Kehamilan. Vol 1. Jakarta: Kencana.
Famoye, F., & Singh, K.P. 2006, Zero-Inflated Generalized Poisson Regression Model with an Application to Domestic Violence Data. Journal of Data Science 4 (2006) 117-130
Famoye, F., Wulu, J.T., & Singh, K.P. 2004. On The Generalized Poisson Regression Model with an Application to Accident Data. Journal of Data Science, 2 (2004) 287-295
Firani, N.K. 2012. Hubungan Tingkat Pendidikan Ibu Hamil dengan Perilaku Ibu dalam Memilih Penolong Persalinan di Desa Curah Mojo Kabupaten Mojokerto. Ejournal. uin-malang.ac.id tanggal sitasi 8 Juli 2012.
Giuffrida, A., Iunes, R.F., dan Macias, H. 2001, Workers‟ Health in Latin America: An Econometrics Analysis of Work Related Injuries, jurnal Health Note No.5, Inter American Development Bank, Washington DC.
Hall, BB & Shen J. 2009. Robust Estimation For Zero Inflated Poisson Regression. Scandinavian Journal of Statistic, Blackwell Publishing Ltd.
Hardin, J.W dan Hilbe, J.M. 2007. Generalized Linier Models and Extensions. Texas: Stata press.
Istiana, Nofita. 2011. Overdispersion (overdispersi) pada Regresi Poisson. Dalam http://www.nofitaistiana.wordpress.com (sitasi tanggal 18 Juni 2012 pukul 9.50am).
Jansakul N dan Hinde, JP. 2001. Score Test For Zero Inflated Poisson Models. Journal Computational Statistics & Data Analysis. 40. 75-96.
Khoshgoftaar,T.M.,Gao.K, dan Szabo,R.M. 2004. Comparing Software Fault Prediciton Of Pure and Zero Inflated Poisson Regression Models. International Journal Of System Science. 36.(11). 705-715
Kleinbaum, D.G., Kupper, L.L, dan Muller, K.E. 1988. Applied Regression Analysis and Other Multivariable Methods, second edition. Boston: PWS-KENT Publishing Company.
Kleinbum, D.G Kupper, Lawrence, L.K., Azhar, N., Keith, M., 2008. Applied Regression Analysis and Other Multivariable Methods. California: Thomson.
Kuntoro, Melania, S., Mahmudah, Notobroto, H.B, Mazumdar, S. 2011. Poisson Regression For Predicting The Number of Visits to Health Services Places Given Predictors Concerning Health Services System. An Evaluation Study of Social Security Net-Health Sector in East Java Provoince, Indonesia. Collection of Presented Papers at International Conference in Mathematics and Applications Mahidol University. Bangkok. Thailand.
Kuntoro. 2002. Pengantar Statistik Multivariate. Surabaya: Pustaka Melati
Kuntoro. 2009. Dasar Filosofis Metodologi Penelitian. Surabaya: Pustaka Melati
Lambert, D. 1992. Zero Inflated Poisson Regression, With An Application To Detect In Manufacturing, Journal Techno metrics, Feb 1992 Vol 32 no 1.
Leger, P., Chansel, J. 2006. Maternal Health: For Safe Motherhood. Edisi 3 / Juli 2006. Banda Aceh: Aide Médicale Internationale.
Liao, T.F. 1994. Interpreting Probability Models Logit, Probit, And Other Generalized Linear Models, London: SAGE Publications.
Loeys, T., Moerkerke, B., De Smet, O., and Buysse, A. 2012. The Analysis of Zero Inflated Count Data: Beyond Zero-Inflated Poisson Regression. British Journal of Mathematical and Statistical Psychology, Vol 65. 163-180
Mamady, C., Johanne, S., Sirivagen. 2005. Maternal Mortality in The Rural Gambia. A qualitative study on acsess to emergency obstetric care. Reproductive Health Journal. ISSN: 1742-4755 dalam http: // www.reproductive-health-journal.com tanggal sitasi 8 Juli 2012.
Martin, T.G., Wintle, B.A., Rhodes, J.R., Kuhnert, P.M., Field, S.A., Low-Choy, S.J., Tyre, A.J., dan Possingham, H.P. 2005. Zero Tolerance Ecology: Improving Ecological Inference by Modelling The Source of Zero Observations, paper Ecology Letters (2005) 8: 1235-1246.
Pamungkas, Dimas Haryo. 2003. Kajian Pengaruh Overdispersi dalam Regresi Poisson. Skripsi. Departemen Statistika, FMIPA. IPB.
Pardosi, Maida. 2006. Analisis Faktor-Faktor Yang Berhubungan Dengan Perdarahan Pasca Persalinan Dan Upaya Penurunannya Di Wilayah Kerja Puskesmas Kota Medan Tahun 2005. dalam Jurnal Ilmiah PANMED. Vol. 1 tanggal 1 Juli 2006 dalam http:www. repository.usu.ac.id tanggal sitasi 7 Maret 2012 pukul 14.55 WIB.
Reeder, Martin, Koniak-Griffin. 2003. Keperawatan Maternitas, Kesehatan Wanita, Bayi dan Keluarga. Vol 2. Jakarta: EGC.
Retnaningsih, E. 2009. Kontribusi Pemilihan Penolong Persalinan Untuk Mencegah Kematian Ibu di Propinsi Sumatera Selatan. Dalam Jurnal Pembangunan Manusia Vol. 7. No. 1 bulan April 2009.
Ridout, et all. 2001. A Score Test for Testing a Zero-Inflated Poisson Regression Model Against Zero-Inflated Negative Binomial Alternatives. Article first published online: 4 MAY 2004. Jurnal Biometrics. Volume 57, Issue 1, pages 219–223, March 2001.
Roeshadi, R.H., 2004. Gangguan dan Penyulit Pada Masa Kehamilan. Artikel dipublikasikan di USU digital library. Tanggal sitasi 12 April 2012 pukul 05.09 WIB
