Hari, Fisty Aprila Tiara (2016) Pemodelan Prevalensi Malaria Di Papua Berserta Faktor Yang Mempengaruhinya Menggunakan Regresi Nonparametrik Spline. Diploma thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Menurut Kementrian Kesehatan RI malaria merupakan penyakit
menular yang menjadi perhatian global, termasuk di Indonesia.
Penyakit ini masih merupakan masalah kesehatan masyarakat karena
menimbulkan Kejadian Luar Biasa (KLB), berdampak luas terhadap
kualitas hidup dan ekonomi, serta dapat mengakibatkan kematian.
Papua merupakan provinsi dengan insiden dan prevalensi penyakit
malaria tertinggi di Indonesia sehingga perlu adanya penelitian lanjut
mengenai faktor-faktor yang mempengaruhi kejadian penyakit
malaria. Regresi nonparametrik spline untuk memodelkan prevalensi
malaria di Papua menghasilkan variabel-variabel yang signifikan
terhadap prevalensi kejadian malaria anatara lain persentase rumah
tangga menggunakan plafon kayu/tripleks, persentase rumah tangga
menguras bak mandi seminggu sekali, persentase rumah tangga
memakai air bersih (20-49,9 liter), persentase pengobatan malaria
dengan mendapatkan obat ACT (Artemisinin-based Combination
Therapy), dan persentase rumah tangga menggunakan tempat
sampah terbuka. Regresi nonparametrik spline mempunyai nilai
R2=95.62%. Hal ini berarti variabel-varaibel yang signifikan mampu
menjelaskan variabilitas prevalensi kejadian malaria di Papua tahun
2013 sebesar 95.62%.
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According to the Health Ministry of Indonesia, malaria is one kind of
infectious diseases that has become the world’s center of attention.
This disease is a public health’s problem since it generates extreme
incident, have huge impacts on economy and people’s life quality,
and also can cause death. Papua is a province with the highest
malaria’s incidents and prevalence in Indonesia, so it needs further
research about the factors that influence malaria. Nonparametric
spline regression to represent malaria’s prevalence in Papua
produce significant variables towards the occurrence of malaria,
those are households’ percentage in using triplex, households’
percentage in draining bath tubs once a week, households’
percentage in using clean water (20 – 49.9 liters), the percentage of
malaria treatment by using ACT (Artemisinin-based Combination
Therapy) and the households’ percentage in using opened trash
cans. Nonparametric spline regression has the value of R2=95.62%.
This means, those significant variables are able to explain the
variability of malaria prevalence in Papua in 2013 as much as
95.62%.
| Item Type: | Thesis (Diploma) |
|---|---|
| Additional Information: | RSE 519.536 Har p |
| Uncontrolled Keywords: | Malaria, Papua, Regresi Nonparametrik Spline, Regresi Parametrik Linear Berganda |
| Subjects: | Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49401-(D3) Diploma 3 |
| Depositing User: | ansi aflacha |
| Date Deposited: | 08 Jan 2020 04:00 |
| Last Modified: | 08 Jan 2020 04:00 |
| URI: | http://repository.its.ac.id/id/eprint/72595 |
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