scholarly journals Analisis Pengaruh Kepadatan Penduduk Dan Jumlah Lansia Terhadap Kasus Kematian Akibat Covid-19 di Provinsi DKI Jakarta Menggunakan Multiple Classification Analysis (MCA)

2021 ◽  
Vol 14 (1) ◽  
pp. 30-37
Author(s):  
Habni Hamara Azmaty ◽  
Hussein Adi Permana ◽  
Lisa Agustina ◽  
Muhamad Fikri Ramdhani ◽  
Naufal Abdul Rafi Zaqi ◽  
...  
Keyword(s):  
Severe Acute Respiratory Syndrome ◽  
Classification Analysis ◽  
Multiple Classification Analysis ◽  
Multiple Classification

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) adalah virus yang menyebabkan penyakit Covid-19. Di Indonesia, jumlah kasus terkonfirmasi positif Covid-19 sudah lebih dari 1,7 juta orang dengan jumlah kasus kematian mencapai 49 ribu orang. DKI Jakarta merupakan salah satu provinsi dengan kasus kematian akibat Covid-19 tertinggi di Indonesia. Tujuan dari penelitian ini adalah untuk menganalisis pengaruh kepadatan penduduk dan jumlah penduduk lansia terhadap jumlah kasus kematian akibat Covid -19 di DKI Jakarta. Metode analisis yang digunakan adalah Multiple Classification Analysis (MCA) dengan unit observasi sebanyak 267 kelurahan yang berada di Provinsi DKI Jakarta. Hasil penelitian ini menunjukkan bahwa kepadatan penduduk dan jumlah penduduk lansia berpengaruh secara signifikan terhadap jumlah kasus kematian akibat Covid-19 di Provinsi DKI Jakarta. Semakin tinggi kepadatan penduduk maka jumlah kematian akibat Covid-19 cenderung meningkat. Begitu juga dengan jumlah penduduk lansia, semakin tinggi jumlah penduduk lansia, maka jumlah kasus kematian akibat Covid-19 juga cenderung meningkat.

scholarly journals ANALISIS DETERMINAN PENDAPATAN PEKERJA MISKIN DI PROVINSI ACEH TAHUN 2015

2017 ◽  
Vol 2 (2) ◽  
pp. 218-235
Author(s):  
Rudi Hermanto ◽  
Teuku Zulham ◽  
Chenny Seftarita
Keyword(s):  
Rural Areas ◽  
Agricultural Sector ◽  
Descriptive Analysis ◽  
Working Hours ◽  
Considerable Effect ◽  
Working Poor ◽  
Classification Analysis ◽  
Independent Variables ◽  
Multiple Classification Analysis ◽  
Multiple Classification

The purpose of this study is to see how the demographic characteristics of the working poor in The Province of Aceh and analyze the factors that determines the income of the working poor as well as the influence of each of these factors. The data used is the data of the National Socioeconomic Survey (Susenas) in 2015 using the model of Multiple Classification Analysis (MCA). Descriptive analysis showed that there is a significant relationship between income and each independent variable gender, region of residence, marital status, age, education level, field of business, sector employment and working hours. MCA results indicate that the independent variables simultaneously significant effect on income. From 8 demographic variables studied, the undertaking of independent variables, sex, age and level of education have a considerable effect on the incomes of the working poor. In an effort to alleviate the working poor, it takes real action especially the improvement of education and vocational training, the development of the agricultural sector, increased investment in potential rural areas, and the development of informal sector.Penelitian ini bertujuan ingin melihat bagaimana karakteristik demografi dari pekerja miskin di Provinsi Aceh dan menganalisis faktor-faktor apa yang menjadi penentu pendapatan dari pekerja miskin serta besar pengaruh dari masing-masing faktor tersebut. Data yang digunakan adalah data hasil Survei Sosial Ekonomi Nasional (Susenas) 2015 dengan menggunakan model Multiple Classification Analysis (MCA). Hasil analisis deskriptif menunjukkan bahwa terdapat hubungan yang signifikan antara pendapatan dan masing-masing variabel bebas jenis kelamin, wilayah tempat tinggal, status perkawinan, umur, tingkat pendidikan, lapangan usaha, sektor pekerjaan, dan jam kerja. Hasil MCA menunjukkan bahwa variabel bebas secara simultan memberikan pengaruh yang nyata terhadap pendapatan. Dari 8 variabel demografi yang diteliti, variabel bebas lapangan usaha, jenis kelamin, umur dan tingkat pendidikan mempunyai pengaruh yang besar terhadap pendapatan pekerja miskin. Dalam upaya pengentasan pekerja miskin, maka dibutuhkan tindakan nyata terutama peningkatan pendidikan dan pelatihan kerja, pengembangan sektor pertanian, peningkatan investasi di daerah perdesaan yang potensial, serta pengembangan sektor informal.

scholarly journals PERBANDINGAN FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT PENGANGGURAN TERBUKA DI INDONESIA SEBELUM DAN SAAT PANDEMI COVID-19

2021 ◽  
Vol 3 (2) ◽  
pp. 25
Author(s):  
Adinda Putri ◽  
Alya Azzahra ◽  
Denita Dwi Andiany ◽  
Dicki Abdurohman ◽  
Prido Putra Sinaga ◽  
...  
Keyword(s):  
Growth Rate ◽  
Unemployment Rate ◽  
Classification Analysis ◽  
Multiple Classification Analysis ◽  
Multiple Classification ◽  
Before And After ◽  
Drastic Increase ◽  
The One ◽  
The Impact

Since Covid-19 arrived in Indonesia, all policies have been carried out to stop the spread of this virus, one of which is the PSBB. The impact of the PSBB is felt by the drastic increase in the number of unemployed in Indonesia. Using Multiple Classification Analysis (MCA), this research was conducted in order to see the condition of the Open Unemployment Rate (TPT) in each province in Indonesia between before and during the pandemic, and to find out the factors that influenced it. The results show that both before and after the pandemic, provinces with an HDI below the national figure led to higher TPT. The growth rate of GDRP and UMP has a different effect between before and during the pandemic. Other results also show that before the pandemic, UMP had the greatest influence on TPT. But after the pandemic, the one that had the biggest impact was HDI.

scholarly journals PENENTUAN GARIS KEMISKINAN PROVINSI MENGGUNAKAN METODE MULTIPLE CLASSIFICATION ANALYSIS

2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Alvin Firdaus, Shantika Martha, Nurfitri Imro’ah
Keyword(s):  
Classification Analysis ◽  
Multiple Classification Analysis ◽  
Multiple Classification

Multiple classification analysis (MCA) adalah metode yang dapat digunakan untuk menganalisis hubungan  beberapa variabel bebas yang berskala kategorik (nominal atau ordinal) dengan sebuah variabel terikat yang berskala numerik (interval atau rasio). Metode MCA memberikan hasil yang memuaskan dalam mengidentifikasi hubungan antara variabel bebas dan terikat, dimana MCA dapat menghasilkan parameter untuk seluruh kategori, dan juga dapat mengukur besarnya hubungan variabel dependen dengan masing-masing variabel bebas sebelum dan setelah dikontrol variabel bebas lain melalui statistik eta dan statistik beta. Tujuan dari penelitian ini adalah untuk menentukan model MCA pada faktor-faktor yang berpengaruh terhadap garis kemiskinan provinsi (GKP). Data yang digunakan pada penelitian ini adalah data publikasi BPS tahun 2017 yang meliputi data rata-rata lama sekolah (RLS), product domestic regional bruto (PDRB), pengeluaran perkapita perbulan (PPP), upah minimum provinsi (UMP), tingkat pengangguran terbuka (TPT) dan inflasi (I) pada 34 provinsi di Indonesia. Hasil analisis menunjukkan bahwa RLS, PDRB dan PPP berpengaruh signifikan terhadap GKP. PPP merupakan faktor yang paling berpengaruh terhadap GKP yaitu dengan nilai eta sebesar 71,9%  dan  beta sebesar 58,1%. Sedangkan variabel PDRB memiliki  nilai eta sebesar 65,7%  dan nilai beta 39,9%. Variabel RLS hanya memiliki nilai eta 47,2% dan beta sebesar 14,0%. Model MCA yang diperoleh juga memberikan hasil yang sangat baik karena memiliki nilai MAPE 8,93%.Kata Kunci: MCA, Statistik Eta, Statistik Beta

The Distribution of Household Tasks

1990 ◽  
Vol 11 (2) ◽  
pp. 115-135 ◽  
Author(s):  
BETH ANNE SHELTON
Keyword(s):  
Employment Status ◽  
Full Time ◽  
Classification Analysis ◽  
Household Tasks ◽  
Housework Time ◽  
Multiple Classification Analysis ◽  
Multiple Classification ◽  
Employed Women ◽  
The Relationship ◽  
Mean Time

This article examines the relationship between wives' employment status and their own and their husbands' time spent on specific household tasks. Using Multiple Classification Analysis, we compared the adjusted mean time that women and men spend in a variety of specific household tasks. The findings showed that gender roles are somewhat more egalitarian in households where women are employed than can be discerned from analyses of only total housework and child-care time. Employed women spend less time on female-typed tasks than full-time homemakers, while their time spent on male-typed or neutral tasks is generally not significantly different from that of full-time homemakers. The findings also showed that men's total housework time does not vary by wives' employment status and that wives' employment also seems to have little effect on their husbands' time spent on specific tasks.

Adolescent Involvement in Legal and Illegal Drug Use: A Multiple Classification Analysis

Social Forces ◽  
1976 ◽  
Vol 55 (2) ◽  
pp. 438 ◽  
Author(s):  
Denise B. Kandel ◽  
Donald Treiman ◽  
Richard Faust ◽  
Eric Single
Keyword(s):  
Drug Use ◽  
Illegal Drug ◽  
Classification Analysis ◽  
Illegal Drug Use ◽  
Multiple Classification Analysis ◽  
Multiple Classification

Party Identification and Public Spending Priorities in the American Electorate

1982 ◽  
Vol 30 (2) ◽  
pp. 221-235 ◽  
Author(s):  
David Lowery ◽  
Lee Sigelman
Keyword(s):  
Party Identification ◽  
General Social Survey ◽  
Public Spending ◽  
Public Expenditures ◽  
Social Survey ◽  
Classification Analysis ◽  
Specific Policy ◽  
Mass Public ◽  
Multiple Classification Analysis ◽  
Multiple Classification

In a study published in 1980, Alan Lewis found that members of the British mass public tend to have clearly defined preferences on spending in specific policy areas and that these preferences are closely related to party identification. This paper examines Lewis's conclusion in the American setting. Data on eleven spending policies from the 1973 and 1980 General Social Survey are examined via factor analysis and multiple classification analysis. While some change is observed between 1973 and 1980, the preferences of the American public on public expenditures appear to be quite stable and, contrary to Lewis's findings these preferences are unrelated to party identification.

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