Hasil Pencarian  ::  Simpan CSV :: Kembali

"[ABSTRAKPenelitian ini bertujuan untuk mengetahui bagaimana probabilitas perempuan dalam menentukan preferensi antara bekerja dan menikah yang dilakukan secara bersama-sama, serta faktor-faktor yang mempengaruhinya dengan menggunakan data dari Survey Sosial Ekonomi Nasional (Susenas) tahun 2012. Keputusan partisipasi kerja pada seorang perempuan sangat berkaitan erat dengan keputusannya dalam status perkawinan. Status perkawinan perempuan telah diketahui akan mempengaruhi keputusan perempuan dalam berpartisipasi di pasar kerja. Metode yang digunakan adalah model sequential probit, dimana masing-masing keputusan dilakukan secara berurutan menurut model probit biner. Hasil penelitian menunjukan bahwa berdasarkan perbandingan karakteristik daerah tempat tinggal dan tingkat pendidikan, di dapatkan bahwa probabilitas terbesar seorang perempuan dalam menentukan pekerjaan dan perkawinanya adalah probabilitas perempuan bekerja dan menikah dengan pendidikan Perguruan Tinggi dan tinggal di daerah perkotaan yaitu sebesar 65.39 persen. Sedangkan probabilitas terkecil adalah probabilitas perempuan yang tidak bekerja dan tidak menikah yang tinggal didaerah perkotaan dengan pendidikan SD yaitu sebesar 0.004 persen.;

---

ABSTRACTThis study aims to determine how the probability of women in determining her preferences between work and married and the factors that influence it, using data from the National Socioeconomic Survey (Susenas) in 2012. Decisions on a female labor forcr participation is closely related to the decision in marital status. Marital status would influence a woman's decision to participate in the labor market. The method used is sequential probit models, where each decision made in sequence according to a binary probit model. The results showed that by comparison the characteristic of the residence and level of education, found that the greatest probability is the probability of working and married women with education Universities and live in urban areas in the amount of 65.39 percent. While the smallest probability is the probability of women who do not work and are not married who live in urban areas with primary education that is equal to 0.004 percent.;This study aims to determine how the probability of women in determining her preferences between work and married and the factors that influence it, using data from the National Socioeconomic Survey (Susenas) in 2012. Decisions on a female labor forcr participation is closely related to the decision in marital status. Marital status would influence a woman's decision to participate in the labor market. The method used is sequential probit models, where each decision made in sequence according to a binary probit model. The results showed that by comparison the characteristic of the residence and level of education, found that the greatest probability is the probability of working and married women with education Universities and live in urban areas in the amount of 65.39 percent. While the smallest probability is the probability of women who do not work and are not married who live in urban areas with primary education that is equal to 0.004 percent., This study aims to determine how the probability of women in determining her preferences between work and married and the factors that influence it, using data from the National Socioeconomic Survey (Susenas) in 2012. Decisions on a female labor forcr participation is closely related to the decision in marital status. Marital status would influence a woman's decision to participate in the labor market. The method used is sequential probit models, where each decision made in sequence according to a binary probit model. The results showed that by comparison the characteristic of the residence and level of education, found that the greatest probability is the probability of working and married women with education Universities and live in urban areas in the amount of 65.39 percent. While the smallest probability is the probability of women who do not work and are not married who live in urban areas with primary education that is equal to 0.004 percent.]"

"Penelitian ini bertujuan untuk melihat pengaruh dari sandwich generation terhadap keputusan perempuan menikah dalam pasar kerja dengan menggunakan data IFLS5. Hasil dari penelitian ini menunjukkan bahwa perempuan menikah yang berada dalam kondisi sandwich generation memiliki kecenderungan untuk tidak bekerja. Perempuan sandwich generation memiliki kemungkinan sebesar 4,7 persen untuk tidak bekerja. Di antara kedua elemen sandwich generation, yaitu anak dan orang tua, keberadaan anak khususnya anak usia balita masih menjadi pertimbangan utama bagi sandwich generation dalam pengambilan keputusan dalam pasar kerja. Selain itu, kondisi kesehatan orang tua yang tidak baik juga turut membuat perempuan memilih untuk tidak bekerja meskipun tidak signifikan secara statistik.

---

This study aims to examine the effect of sandwich generation on married women 39 s decisions in the labor market using IFLS5 data. The results of this study indicate that women who are in sandwich generation conditions have a tendency to not work. Female sandwich generation has a 4.7 percent chance of not working. Among the two elements of sandwich generation, children and parents, the existence of children, especially children under five years old is still a major consideration for sandwich generation women in decision making in the labor market. In addition, poor health conditions of parents also make women choose not to work even though not statistically significant."

"Penelitian ini menggunakan data dari Sakernas Agustus 2021 untuk menganalisis pengaruh pelatihan dan partisipasi kerja perempuan dengan disabilitas di Indonesia. Dengan menggunakan regresi logistik biner, dapat diketahui terdapat pengaruh pelatihan terhadap partisipasi kerja perempuan dengan disabilitas. Probabilitas perempuan dengan disabilitas untuk memasuki pasar tenaga kerja pun akan semakin besar ketika mengikuti pelatihan yang bersertifikat. Namun, partisipasi kerja akan bervariasi berdasarkan jenis dan tingkat keparahan disabilitas yang dialami. Perempuan dengan disabilitas penglihatan memiliki kemungkinan yang lebih tinggi untuk bekerja. Sedangkan, perempuan dengan disabilitas fisik (mobilitas dan jari/tangan) dan mental mengalami kemungkinan yang paling kecil untuk bekerja. Kemudian, probabilitas perempuan dengan disabilitas untuk bekerja pada jenis pekerjaan apapun akan berkurang dengan meningkatnya tingkat keparahan yang dialami. Terlepas dari status disabilitasnya, perempuan dengan disabilitas yang berada dalam kelompok usia produktif (35 – 45 tahun), berpendidikan >=SMA/sederajat, bertempat tinggal di pedesaan, berstatus pernah menikah memiliki probabilitas bekerja yang lebih tinggi.......This study utilizes data from Sakernas Augustus 2021 to analyze the effect between training and work participation of women with disabilities in Indonesia. Using binary logistic regression, this study discovered that training has an impact on how many women with disabilities participate in the workforce. When they enroll in certified training, the likelihood of disabled women entering the workforce will increase even more. However, work participation will vary based on the type and degree of disabilities, where women with vision disabilities face the highest likelihood of working participation. Meanwhile, women with mental and physical disabilities (mobility and finger/hand) face the lowest likelihood of working participation. In addition, as the degree of disability increases, it becomes less likely that she will work in any sector of economic activity. Regardless of their disability status, those in the productive age group (35 – 45), have completed at least a high school education, live in rural areas, and have been married are more likely to work."

"Pendidikan suami dalam pola pernikahan diduga memiliki hubungan terhadap partisipasi kerja perempuan, salah satunya adalah assortative mating, yaitu fenomena ketika perempuan menikahi laki-laki dengan pendidikan setara. Untuk mengkaji hubungan ini, digunakan data SUSENAS 2020 yang diolah dengan metode regresi logit biner. Hasilnya, perempuan dalam pola marry-up high, assortative mating mid, marry-down low, marrydown high, dan assortative-mating high memiliki kecenderungan lebih tinggi untuk bekerja dan bekerja di sektor formal daripada perempuan dalam pola assortative-mating low. Akan tetapi, hasilnya sebaliknya untuk perempuan dengan pola marry-up low. ......The husband’s education is believed to be related to female’s job participation, one of which is assortative mating, a phenomenon when individuals married those with the same level of education. To examine this relationship, the study analyzed the SUSENAS 2020 data using the binary logistic regression method. The results show that females in the marriage pattern of marry-up high, assortative mating mid, marry-down low, marry-down high, and assortative-mating high tend to work and engage in formal sector work compared to female in the assortative-mating low. However, the effect is the opposite for females in the marry-up low."