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All Journal Jurnal Aplikasi Statistika & Komputasi Statistik Indonesian of Health Information Management Journal (INOHIM)
Dwi Ari Suryawan
Politeknik Statistika STIS
Computer Science & IT Decision Sciences, Operations Research & Management Health Professions Mathematics

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Sex and Age Group Differences in The Spread of Tuberculosis In Indonesia: An Agent Based Modeling Approach Dwi Ari Suryawan. S; Tiodora Hadumaon Siagian
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 13 No 2 (2021): Jurnal Aplikasi Statistika dan Komputasi Statistik
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v13i2.342

Abstract

Tuberculosis (TB) is a serious contagious disease. TB is even categorized as one of the top 10 main causes of death worldwide. According to WHO, in 2019 there were around 10 million cases of the population worldwide affected by TB. It is estimated that there are 1.4 million deaths due to TB worldwide in 2019. Whereas in Indonesia, it is estimated that there are 842,000 TB cases in 2018 and even around 32% of this cases have not been reported. Data and information of the number and distribution of TB cases are very limited in Indonesia, as it requires certain expertise and large costs in the data collection. Numerous research found that incidence of TB vary among different age groups and between men and women. The elderly population are more susceptible to exposure to TB due to multiple comorbidities and deficient immune response, while men are more likely to be exposed to infectious TB by other men. This condition highlights the importance of further studies on the spread of TB by age groups and sex in Indonesia. Therefore, this study used an agent based model to enhance the understanding of the aggregate and the spread of TB in Indonesia. The study results confirmed that at national level, TB incidences varied among different age groups and sexes. The results of this study also revealed the need for further study on the spread of TB in the age group under 15 years. It is expected that this study result can be useful for TB control program in Indonesia.
Pengelompokan Daerah Rawan Demam Berdarah Dengue di Provinsi DKI Jakarta Afifatul Ilma Widyatami; Dwi Ari Suryawan
Indonesian of Health Information Management Journal (INOHIM) Vol 9, No 1 (2021): INOHIM
Publisher : Lembaga Penerbitan Universitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/inohim.v9i1.241

Abstract

AbstractIndonesia is the country with the highest cases of dengue fever in Southeast Asia, according to The World Health Organization (WHO) from 1968 to 2009. DKI Jakarta with high population density and flood intensity being cautioned for being aware of cases of dengue fever, because it may make growth in dengue mosquitoes spreading. Data show that almost every year DKI Jakarta is in the top 10 provinces with the highest cases of dengue fever. By using the clustering method, it is possible to make groups of data with similar characteristics into specific classes. Data used is secondary data from 2016 which is collected from the website https://data.jakarta.go.id/. The result from clustering can be used to decide which zone needs special treatment based on numbers of dengue fever cases, prone to flood, areas wide, total population, temporary landfills, and green space numbers variables. From the analysis, we can conclude that DKI Jakarta has 19 sub-districts with high risk, 10 sub-districts with medium risk, and 15 sub-districts with low risk.Keyword: dengue fever, cluster analysis, DKI Jakarta AbstrakIndonesia merupakan negara dengan kasus demam berdarah dengue tertinggi di Asia Tenggara sejak tahun 1968 hingga tahun 2009 berdasarkan data World Health Organization (WHO). DKI Jakarta dengan kepadatan penduduknya yang tinggi dan intensitas banjir yang cukup tinggi menjadi perhatian agar dapat waspada terhadap kasus demam berdarah dengue, dikarenakan dapat memicu perkembangan nyamuk penyebab demam berdarah dengue. Data profil kesehatan Republik Indonesia menunjukan bahwa hampir setiap tahunnya provinsi DKI Jakarta memasuki 10 besar provinsi di Indonesia dengan kasus demam berdarah dengue terbanyak.  Dengan menggunakan metode klaster, dapat dilakukan pengelompokan data dengan karakteristik yang memiliki kemiripan menjadi kelas-kelas tertentu. Data yang digunakan merupakan data sekunder pada tahun 2016 yang dikumpulkan melalui website https://data.jakarta.go.id/. Hasil dari analisis klaster dapat digunakan untuk menentukan daerah mana yang masuk ke dalam kategori yang perlu penanganan khusus berdasarkan variabel jumlah penderita demam berdarah dengue, jumlah rw rawan banjir, luas wilayah, jumlah penduduk, tempat pembuangan sementara dan jumlah ruang terbuka hijau. Dari analisis data yang dilakukan, dapat disimpulkan bahwa di DKI Jakarta terdapat kecamatan dengan tingkat kerawanan tinggi sebanyak 19 kecamatan, 10 kecamatan dengan tingkat kerawanan sedang dan 15 kecamatan dengan tingkat kerawanan rendah.Kata Kunci: demam berdarah, analisis klaster, DKI Jakarta
Co-Authors Afifatul Ilma Widyatami Tiodora Hadumaon Siagian