Pemodelan Jumlah Kasus Kusta di Kabupaten Mojokerto dan Kabupaten Jombang Tahun 2019 Menggunakan Regresi Zero-Inflated Poisson Inverse Gaussian

Azwarini, Rahmania (2021) Pemodelan Jumlah Kasus Kusta di Kabupaten Mojokerto dan Kabupaten Jombang Tahun 2019 Menggunakan Regresi Zero-Inflated Poisson Inverse Gaussian. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kusta atau lepra adalah penyakit yang menyerang berbagai bagian tubuh diantaranya saraf dan kulit yang disebabkan oleh infeksi bakteri Mycobacterium leprae. Jawa Timur merupakan provinsi dengan jumlah penderita kusta tertinggi di Indonesia hingga tahun 2019 sebanyak 3.306 kasus. Stigma negatif masyarakat terhadap penderita kusta menyebabkan munculnya perkampungan kusta di dusun Sumberglagah, Kabupaten Mojokerto. Selain adanya kampung kusta, pada Kabupaten Mojokerto juga terdapat rumah sakit kusta terbesar di Jawa Timur yang menjadi pusat pengobatan kusta baik di Kabupaten Mojokerto maupun di daerah sekitarnya seperti Kabupaten Jombang. Penelitian ini menggunakan data jumlah kasus kusta di Kabupaten Mojokerto dan Kabupaten Jombang tahun 2019 sebagai variabel respon dan enam variabel lainnya sebagai variabel prediktor. Data jumlah kasus kusta tersebut memiliki proporsi nilai nol sebesar 30,77%, lalu nilai mean sebesar 2,179 serta varians sebesar 6,625. Hal ini mengindikasikan bahwa adanya extra zeros serta terdapat pelanggaran asumsi equidispersi. Regresi Zero Inflated-Poisson Inverse Gaussian (ZIPIG) merupakan metode pengembangan regresi yang mampu menangani overdispersi serta extra zeros pada variabel respon data observasi. Faktor yang berpengaruh signifikan terhadap jumlah kasus kusta berdasarkan hasil pemodelan regresi ZIPIG yaitu persentase pelayanan kesehatan untuk penduduk usia lanjut (X6).
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Leprosy is a disease that attacks various parts of the body, including the nerves and skin, which is caused by infection of Mycobacterium leprae bacteria. East Java is the province with the highest number of leprosy sufferers in Indonesia until 2019 with 3,306 cases. Society’s negative stigma towards people with leprosy has led to the emergence of a leprosy village in Sumberglagah village, Mojokerto Regency. In addition, there is the largest leprosy hospital in East Java which is located in Mojokerto Regency and becomes leprosy center treatment both in Mojokerto Regency and also in surrounding areas such as Jombang Regency. This study uses data of the number of leprosy cases in Mojokerto and Jombang districts in 2019 as response variables and six other variables as prediktor variables. Zero Inflated-Poisson Inverse Gaussian Regression (ZIPIG) is a regression development method that is able to handle overdispersion and extra zeros on the response variable of the observation data. The number of leprosy cases data has a proportion of zeros value namely 30,77%, then the mean value is 2,179 and the variance is 6.625. This indicates that there are extra zeros and there is a violation of the equidispersion assumption. The factor that significantly influences the number of leprosy cases based on the results of ZIPIG regression modeling is percentage of health services for the elderly population (X6).

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Extra Zeros, Kusta, Overdispersi, Regresi Zero-Inflated Poisson Inverse Gaussian (ZIPIG), Extra Zeros, Leprosy, Overdispersion, Regresi Zero-Inflated Poisson Inverse Gaussian (ZIPIG).
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HA Statistics > HA31.3 Regression. Correlation
Q Science > QA Mathematics
Divisions: Faculty of Science and Data Analytics (SCIENTICS) > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User: RAHMANIA AZWARINI
Date Deposited: 30 Aug 2021 06:27
Last Modified: 30 Aug 2021 06:27
URI: http://repository.its.ac.id/id/eprint/90783

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