ANALISIS DETERMINAN PENDAPATAN PEKERJA MISKIN DI PROVINSI ACEH TAHUN 2015

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.

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Variations in the Duration of Reign of Monarchs

Comparative Political Studies ◽

10.1177/0010414085018001005 ◽

1985 ◽

Vol 18 (1) ◽

pp. 104-122

Author(s):

EUI HANG SHIN ◽

IK KI KIM

Keyword(s):

Causal Relationships ◽

Historical Trends ◽

Classification Analysis ◽

Longitudinal Changes ◽

Independent Variables ◽

Multiple Classification Analysis ◽

Multiple Classification ◽

Cross National

This article analyzes cross-national variations and longitudinal changes in the duration of the reigns of monarchs. Data cover 439 monarchs from 10 selected nations for the period from 877 to 1972. Using multiple classification analysis, we examine the effects of kinship type of succession, cause of removal of predecessor, age at ascent, duration of life, nation, and year of ascent on the duration of monarchical reigns. The results of our analysis indicate that about 43% of successions to the throne have been by the eldest sons, and the monarchs whose successions have been on the principles of the primogeniture system have tended to have longer durations of reign than those who have gained their monarchical power through other types of succession systems. The five independent variables jointly account for up to 37% of the variance in the duration of the reigns of monarchs. Significant cross-national and European-Asian variations in the characteristics of monarchs are observed. However, no consistent historical trends in causal relationships are apparent from observed interrelationships between variables.

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Fenomena Penuaan Petani dan Berkurangnya Tenaga Kerja Muda serta Implikasinya bagi Kebijakan Pembangunan Pertanian

Forum penelitian Agro Ekonomi ◽

10.21082/fae.v34n1.2016.35-55 ◽

2016 ◽

Vol 34 (1) ◽

pp. 35 ◽

Cited By ~ 4

Author(s):

Sri Hery Susilowati

Keyword(s):

Rural Areas ◽

Agricultural Development ◽

Structural Changes ◽

Agricultural Sector ◽

Descriptive Analysis ◽

Young Workers ◽

Agricultural Industry ◽

Agricultural Diversification ◽

Determining Factors ◽

The Government

English Qualified human resources with a good commitment to develop agricultural sector is one of the determining factors toward sustainable agricultural development. However, agricultural development deals with significant issue especially reduction in the number of young farmers. This paper aims to review structural changes from perspective of aging farmer and declined number of young farmers in Indonesia and other countries. Specifically, this paper identifies various factors causing the changes and describes the policies needed to support young workers to enter agricultural sector. The method used in this paper is both descriptive analysis and cross tabulation. The results show that aging farmers and young farmers decline in Indonesia keep increasing. The phenomena are also found in other countries in Asia, Europe, America and Australia. Various factors causing lack interest of young workers in agricultural sector, namely less prestigious, high risk, less assurance, unstable earning. Other factors are small size land holding, limited non-agricultural diversification and agricultural processing activities in rural areas, slow farm management succession, and lack of incentive for young farmers. To attract youth to enter agricultural sector, it is necessary to transform youth’s perception that agricultural sector currently is interesting and promising. The government needs to development agricultural industry in rural areas, introduces technology innovation, offers special incentives for young farmers, modernizes agriculture, and conducts training and empowerment of young farmers. Indonesian Sumber daya manusia yang berkualitas dan memiliki komitmen membangun sektor pertanian merupakan salah satu faktor keberhasilan pembangunan pertanian berkelanjutan. Namun, pembangunan pertanian menghadapi permasalahan cukup serius, yaitu jumlah petani muda terus mengalami penurunan, baik secara absolut maupun relatif, sementara petani usia tua semakin meningkat. Tujuan makalah ini adalah melakukan review tentang perubahan struktural tenaga kerja pertanian dilihat dari fenomena aging farmer dan menurunnya jumlah tenaga kerja usia muda sektor pertanian di Indonesia dan di berbagai negara lainnya, mengidentifikasi berbagai faktor penyebab perubahan tersebut, serta kebijakan yang diperlukan untuk mendukung tenaga kerja muda masuk ke sektor pertanian. Metode penelitian yang digunakan adalah analisis deskriptif dan tabulasi. Hasil analisis menunjukkan bahwa secara umum fenomena penuaan petani dan berkurangnya petani muda di Indonesia semakin meningkat. Kondisi seperti ini bukan hanya terjadi di Indonesia, namun juga di negara-negara lain di Asia, Eropa, dan Amerika. Berbagai faktor penyebab menurunnya minat tenaga kerja muda di sektor pertanian, di antaranya citra sektor pertanian yang kurang bergengsi, berisiko tinggi, kurang memberikan jaminan tingkat, stabilitas, dan kontinyuitas pendapatan; rata-rata penguasaan lahan sempit; diversifikasi usaha nonpertanian dan industri pertanian di desa kurang/tidak berkembang; suksesi pengelolaan usaha tani rendah; belum ada kebijakan insentif khusus untuk petani muda/pemula; dan berubahnya cara pandang pemuda di era postmodern seperti sekarang. Strategi yang perlu dilakukan untuk menarik minat pemuda bekerja di pertanian antara lain mengubah persepsi generasi muda bahwa sektor pertanian merupakan sektor yang menarik dan menjanjikan apabila dikelola dengan tekun dan sungguh-sungguh, pengembangan agroindustri, inovasi teknologi, pemberian insentif khusus kepada petani muda, pengembangan pertanian modern, pelatihan dan pemberdayaan petani muda, serta memperkenalkan pertanian kepada generasi muda sejak dini.

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Multiple Classification Analysis for Arbitrary Experimental Arrangements

Technometrics ◽

10.1080/00401706.1968.10490531 ◽

1968 ◽

Vol 10 (1) ◽

pp. 13-27 ◽

Cited By ~ 4

Author(s):

Hugh E. Bradley

Keyword(s):

Classification Analysis ◽

Multiple Classification Analysis ◽

Multiple Classification

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New Presses for Old Grapes: I: Multiple Classification Analysis

Historical Methods A Journal of Quantitative and Interdisciplinary History ◽

10.1080/01615440.1978.9955236 ◽

1978 ◽

Vol 11 (4) ◽

pp. 174-176 ◽

Cited By ~ 3

Author(s):

Richard Jensen

Keyword(s):

Classification Analysis ◽

Multiple Classification Analysis ◽

Multiple Classification

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

Jurnal Kajian Ekonomi dan Pembangunan ◽

10.24036/jkep.v3i2.11592 ◽

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.

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PENENTUAN GARIS KEMISKINAN PROVINSI MENGGUNAKAN METODE MULTIPLE CLASSIFICATION ANALYSIS

Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya ◽

10.26418/bbimst.v8i4.36198 ◽

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

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The Distribution of Household Tasks

Journal of Family Issues ◽

10.1177/019251390011002001 ◽

1990 ◽

Vol 11 (2) ◽

pp. 115-135 ◽

Cited By ~ 72

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.

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