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All Journal Jurnal Matematika dan Statistika serta Aplikasinya (Jurnal MSA) Prosiding Seminar Nasional Official Statistics
Prawira Yuda Husada
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Mathematics Medicine & Pharmacology Social Sciences

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Analisis Faktor Penambahan Kasus Positif Covid-19 Berdasarkan Kelompok PDRB dan Dokter Umum Pada 34 Provinsi Di Indonesia Dengan Menggunakan Multiple Classification Analysis Fauziyah, Fina; Kezia Sibuea; Nur Meiliza; Prawira Yuda Husada; Zulkifli; Risni Julaeni Yuhan
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 9 No 2 (2021): VOLUME 9 NOMOR 2 TAHUN 2021
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v9i2.21776

Abstract

Virus COVID-19 telah menyebar ke seluruh penjuru dunia dengan cepat. Indonesia pun turut merasakan dampaknya. Tinggi rendahnya PDRB di suatu daerah tentunya akan mempengaruhi keleluasaan pemerintah dalam menerapkan kebijakan untuk menjaga imunitas penduduknya. Di sisi lain, ketimpangan jumlah tenaga kesehatan di Indonesia masih sangat terasa. Penelitian ini bertujuan untuk mengetahui pengaruh PDRB dan ketersediaan tenaga kesehatan khususnya dokter umum terhadap jumlah kasus positif COVID-19 seluruh provinsi di Indonesia. Adapun metode analisis yang digunakan adalah Multiple Classification Analysis. Hasilnya, variabel PDRB dan dokter umum memengaruhi jumlah kasus positif COVID-19. Semakin tinggi kedua kategori pada variabel tersebut maka semakin tinggi penambahan kasus positif COVID-19.
Analisis Spasial Angka Kematian Neonatal di Pulau Jawa Tahun 2020 Prawira Yuda Husada; Aisyah Fitri Yuniasih
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (435.225 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1273

Abstract

The high infant mortality in area can be described by the infant mortality rate. The infant mortality rate is very important because it’s able to describe the level of health and a reflection the level of social and economic development in a region. The purpose of this study was to obtain an overview of variables that affect the neonatal mortality rate in districts/cities in Java Island in 2020 using spatial regression method. The results showed that the variables of low birth weight and obstetric complications coverage had a positive effect, while the coverage of K4 visits had a negative effect on the neonatal mortality rate in the districts/cities of Java Island. Based on these results, the community and government are expected to pay more attention to condition of newborns, improve health services by building more equitable facilities, and improve the quality of health workers to reduce neonatal mortality in Java.
Co-Authors Aisyah Fitri Yuniasih Fauziyah, Fina Kezia Sibuea Nur Meiliza Risni Julaeni Yuhan