scholarly journals Eksploitasi terhadap Anak yang Bekerja di Indonesia

2013 ◽  
Vol 13 (2) ◽  
pp. 177-195
Author(s):  
Beta Septi Iryani ◽  
D.S. Priyarsono

This study investigated the severity of exploitation of working children and factors determining exploitation of working children. This study used data resulted from National Labor Force Survey (Sakernas) 2011 and utilized logistic regression as the analytical tool. Based on the severity of exploitation, there are three provinces which are always of high value severity of exploitation, namely DKI Jakarta, Banten, and West Java. Education level of household is an influential factor of exploitation measured by working hours and access to education. The lower level of education of head of household, the greater chance the child to be exploited. As for the exploitation measured by wage, girls have a chance 2.357 times greater than that of boys to be for exploited measured by wages.AbstrakStudi ini bertujuan menganalisis tingkat keparahan eksploitasi terhadap anak yang bekerja dan faktor-faktor yang memengaruhi terjadinya eksploitasi. Data Sakernas 2011 dan regresi logistik digunakan sebagai alat analisis. Berdasarkan tingkat keparahan eksploitasi, terdapat tiga provinsi yang selalu tinggi nilai keparahan eksploitasinya, yaitu DKI Jakarta, Banten, dan Jawa Barat. Pendidikan kepala rumah tangga (KRT) merupakan salah satu faktor yang berpengaruh terhadap eksploitasi dari segi jam kerja dan akses pendidikan. Semakin rendah pendidikan KRT, semakin besar peluang anak untuk tereksploitasi. Sedangkan untuk eksploitasi dari segi upah, anak perempuan memiliki peluang 2,357 kali untuk tereksploitasi dari segi upah dibandingkan anak laki-laki.

Author(s):  
Wiji Rosiana ◽  
Ida Ayu Nyoman Saskara

Rapid economic growth has resulted in the emergence of small, medium, and large industries. One of the fastest growing industries is the household laundry industry, where most of the workers are women. The purpose of this research are: 1) To analyze the effect of education level, worker's wage, husband's income, age, number of family dependent and working hours directly to household expenditure; 2) To analyze the effect of education level, worker's wage, husband's income, age and amount of family dependent on household expenditure through working hours. Data collection methods used were interviews and questionnaires, with a total of 87 respondents. The analytical tool used is descriptive analysis and path analysis. The results showed that the level of education, worker's wage and husband's income had a positive significant impact on the working hours of female workers. Age negatively significantly affects the working hours of female workers. The number of family dependents has a positive insignificant effect on the working hours of female workers. Worker's wage, husband's income, the number of family dependents and working hours have a positive significant impact on the expenditure of female workers' households. The level of education and age has a negative insignificant effect on the expenditure of female workers' households. Working hours mediate the influence of education level, the influence of the wage of the worker, the husband's income and age on the expenditure of the female worker's household. While working hours do not mediate the number of family dependents on household expenditure of female workers working in the household laundry industry in South Denpasar District.


2014 ◽  
Vol 3 (1) ◽  
pp. 79
Author(s):  
Selli Nelonda

Abstract : As in other countries, in Indonesia, children are considered very valuable both as themselves as well as human resources that will determine the future of the country. For various reasons, there are still quite a lot of children in Indonesia, especially in West Sumatra are leaving school and entering the labor market too early. This in turn will lead to low levels of school enrollment. The low level of school participation is allegedly linked to the issue of child labor hours. Long working hours for children will lose the impact of educational opportunities, learning time is reduced even none at all. Using data Susenas West Sumatra 2012 and logistic regression showed that employment status variable RT head, sector head of household work (agriculture), the working hours of children, as well as the status of child labor (workers family / unpaid) significant partial affect the chances of child labor to school. While variables such as gender, region, education level of the head of household, type of work  RT, the proportion of food, as well as the age of the head of household is partially not affect the chance of working children aged 10-15 years to go to school Kata Kunci : logistic regression model, odds ratio, working children   Abstrak : Seperti halnya di negara lain, di Indonesia anak-anak dianggap sangat berharga baik sebagai diri mereka sendiri maupun sebagai sumber daya manusia yang akan menentukan masa depan negara. Untuk berbagai alasan, masih cukup banyak anak-anak di Indonesia khususnya Sumatera Barat yang meninggalkan sekolah dan memasuki pasar tenaga kerja terlalu dini. Hal ini nantinya akan berakibat kepada rendahnya tingkat partisipasi sekolah. Rendahnya tingkat partipasi sekolah ini diduga terkait dengan isu jam kerja anak. Jam kerja yang panjang bagi anak akan memberi dampak kehilangan kesempatan memperoleh pendidikan, waktu belajar berkurang bahkan tidak ada sama sekali. Dengan menggunakan data Susenas Sumatera Barat tahun 2012 dan regresi logistik penelitian ini memberikan hasil bahwa variabel status pekerjaan kepala RT, sektor pekerjaan kepala rumah tangga (sektor pertanian), jam kerja anak, serta status pekerjaan anak (pekerja keluarga/tidak dibayar) secara parsial signifikan mempengaruhi peluang pekerja anak untuk bersekolah. Sedangkan variabel seperti jenis kelamin, wilayah, tingkat pendidikan kepala RT, jenis pekerjaan kepla RT, proporsi makanan, serta umur kepala RT secara parsial tidak berpengaruh terhadap peluang pekerja anak usia 10-15 tahun untuk masuk ke sekolah. Kata Kunci : regresi logistik, odds ratio, pekerja anak


GANEC SWARA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 50
Author(s):  
NI MADE TAMAN AYUK

The purpose of this study was to find out: 1) the influence of working hours, education level and work experience partially on the income of workers of soft weaving craftsmen in Marga Subdistrict, Tabanan Regency, 2) the effect of working hours, education level and simultaneous work experience on income workers of soft weaving crafts in Marga Subdistrict, Tabanan Regency.     The test results show that: 1) working hours have a significantly positive positive effect on the income of workers of soft weaving craftsmen, with t count greater than t table (3.875> 1.696) and the significance is smaller than 0.05 (0.001 <0.05), 2) the level of education has no significant effect on the income of workers of soft weaving craftsmen, with t count smaller than t table (0.645 <1.696) and its significance is greater than 0.05 (0.524> 0.05) and 3) influential work experience partially positive real to the income of workers of soft weaving craftsmen in Marga Subdistrict, Tabanan Regency, with t count greater than t table (2,297> 1,696) and the significance is smaller than 0.05 (0.029 <0.05).     Simultaneously working hours, level of education and work experience significantly influence income. This can be seen from the F value of 18.195 greater than the F table value of 2.91


2019 ◽  
Vol 8 (1) ◽  
pp. 41-53
Author(s):  
Panggno Septiawan ◽  
Rahma Nurjanah ◽  
Candra Mustika

This study aims: 1) To find out and analyze the socio-economic characteristics of street vendors on Jalan Basuki Rahmat until General H. Agus Salim; 2) To find out and analyze what factors influence the income of street vendors on Jalan Basuki Rahmat until Jenderal H. Agus Salim by using multiple linear regression analysis tools. Based on the analysis of the characteristics of street vendors who are respondents according to the average age of 33 years, the highest sex is male, the most marital status is married, the number of family dependents is 3 dependents, according to the highest level of education, namely high school, the length of hours work that is 8 hours working time in a day, selling as a main job, average fixed capital of Rp. 2,212,000, operating capital with an average of Rp. 250,000 per day and for an average income of Rp. 3,376,000 per month. Based on the regression results indicate that the variables of capital, age, and working hours have a significant effect on the income of street vendors. Keywords: Income, Capital, Age, Working Hours, Education Level.


Author(s):  
Alpha Marlvin Manjera ◽  
Alpha Marlvin Manjera

This paper, seek to assess factors that are hindering diffusion of process innovation under the Zimbabwean dairy industry. The paper utilized 400 smallmedium scale dairy farmers in Zimbabwe who are registered under Zimbabwe Association of Dairy Farmers (ZADF). The rationale behind the research issue is that Zimbabwean dairy sector has failed to adopt process innovations such as e-marketing and e-extension. The paper adopted a binomial logistic regression model and majority of the dairy farmers in Zimbabwe have not acquired any form of education and based on such evidence, level of education has affected the level of adoption of process innovations such as e-marketing and e-extension. The research recommends the dairy sector to introduce nonformal courses and trainings on change management and innovations prior to introduction of new process innovations.


2020 ◽  
Vol 3 (2) ◽  
pp. 27-36
Author(s):  
Framintolia Kaiway ◽  
Siti Aisah Bauw ◽  
Marcus R. Maspaitella

Women act as wives and even mothers for children in the household by carrying out domestic tasks at home to take care of and serve their husbands and family members. When women have many dependent needs in the family, women take on a dual role to be absorbed in the world of work in the informal sector as traders by trading in the market in order to generate income in order to meet the needs of family life. This study aims to analyze the factors of age, working hours, education level, and the number of dependents on the income of female traders in Sanggeng Manokwari Market by using multiple linear regression analysis tools. The regression results show that there is a significant effect of age and working hours on the income of female traders, while the level of education and number of dependents does not show a significant effect on the income of female traders in the Sanggeng Manokwari Market.


2012 ◽  
Vol 1 (2) ◽  
pp. 195
Author(s):  
Ratu Eva Febriani

Most research on labor force participation of elderly and its connection with social security program is based on macro data. This paper offers a different perspective. The research used small sample from elderly population. It is limited on education level, especially higher education (bachelor, master, and doctor) and the previous job as lecturer. This paper is using micro data from a university in Yogyakarta. It’s collected through questionnaire and interview. Using logistic regression, it is shown that health is important factor in determining the labor force of elderly decision to work, whereas social security in this case is not determining factor.


Populasi ◽  
2016 ◽  
Vol 18 (2) ◽  
Author(s):  
Endang Ediastuti Mustar

Women are a unique creature, in life they perform double fuction, as production and reproduction fuction. The number of women in Indonesia can be used as an important labor force, unfortunately they usually have lower level of education level. This at the end forced them to go abroad and being TKW which not always a good thing to do. Most of them being abused by their employers. Even though some women do not work economicly they still taking care their families which also an uneasy job to do. In the future, the empowerment of women could produce more quality generation.


GANEC SWARA ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 557
Author(s):  
NI PUTU FEBBY SUNDARI ◽  
PUTU KARISMAWAN ◽  
EMY SALMAH

Theoretically, development of the city depends on labor resources. Generally, labor resources of the city come from periphery area. Developed infrastructure is a factor that mobilized labor resources from periphery to the city. There are two alternatives to the workers who come from periphery area; first they can stay in the city by renting apartment or the second as commuter. Many of the workers choose as commuter, so it is quite interesting to know what factors influence workers make choice as commuter. It is more specific whether factors such as income, length of work, age, distance, education level, and marital status influence the interest of workers to conduct circular migration. The analytical tool used is logistic regression analysis, Binary Regression Logistic. This research is a descriptive study that uses quantitative analysis using 1 dependent variable, namely interest in migration and six independent variables, namely income, length of working, age, distance, education level, and marital status. To achieve these objectives in this research logistic regression analysis was used, namely Binary Regression using primary data as many as 80 respondents. The results show that above variables; income, length of working, age, distance, level of education and marital status simultaneously and significantly influence on interest of workers in doing circulation migration to the Mataram City. Factors that partially influence significantly on the interest of workers doing migration to the Mataram City with a significance value with an alpha level of 5% are income, length of working, distance and level of education. While the age variable and marital status is not significant in effect.


2021 ◽  
Vol 17 (1) ◽  
pp. 52-59
Author(s):  
Danang Sudarso Widya Prakoso Joyo Widakdo ◽  
Abdul Holik ◽  
Lutfi Nur Iska

The purpose of this study was to determine the effect of age and level of education on the performance of agricultural extension assistants, either simultaneously or partially. This research is an explanatory study with a quantitative approach. The sample of the research was the Agricultural Extension Assistants in Banyuwangi Regency. The sampling technique was a total sampling of 40 respondents. The main data of this research are primary data obtained by data collection techniques using a questionnaire. The analytical tool used multiple linear regression to determine the effect simultaneously and partially. The results showed that age and education level had a positive and significant effect on the performance of agricultural extension assistants, either simultaneously or partially.  


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