1,720,958 research outputs found
Side-hustle dalam Dinamika Kemiskinan Pekerja: Tinjauan Empiris di Indonesia
No full textWorking poverty remains a persistent issue in Indonesia. The high prevalence of working poor underscores the urgent need for effective poverty alleviation efforts. This study analyzes the relationship between side hustles, excessive working hours, and working poverty in Indonesia. Utilizing microdata from the March 2023 Susenas and applying binary logistic regression, the study assesses the effect of side hustle status and excessive working hours on the likelihood of being categorized as working poor, based on the international working poverty line. The results indicate that engaging in a side hustle without excessive hours actually increases the risk of working poverty, while side hustles with excessive working hours reduce that risk. These findings suggest that side hustles are only effective in alleviating poverty when performed with excessive hours, a condition that may further exacerbate worker vulnerability. This study implies the need for policies focused on improving job quality, regulating working hours, and providing social protection for individuals engaged in side hustles
Where Did Young Workers Go? The Increase of Youth NEET in Indonesia During Pandemic
Get PDFThe transition of young workers to youth Not in Employment, Education, and Training (NEET) is part of the problems of employment and welfare of the Indonesian population during the COVID-19 pandemic. Using the 2019 and 2020 National Labor Force Survey (Sakernas) data, this study aims to explain the characteristics and determinants of young workers transitioning to unemployed and inactive NEET compared to remaining employed using multinomial logistic regression, in all and gender model. Most of the young workers who are transitioning into youth NEET are concentrated in Java. Gender, education, digitalization, internet, skills, employment status, and business fields significantly affect the transition of young workers to unemployed and inactive youth NEET. In addition, minimum wages and GRDP, also affect the transition to NEET. Specifically, transition to youth NEET in males are influenced by regional labor market conditions, while females are more influenced by demographic factors and human capital. This research implies the urgency of an education and training investment policy that focuses on digitalization for young workers. Furthermore, COVID-19 gives important lessons about the flexibility of the labor market for young people and the importance of gender-specific employment policies as well as ease of access in human capital investment for female
Socioeconomic determinants of blue-collar employment in West Java Province: A binary logistic regression approach
Get PDFEmployment issues remain a persistent national challenge in Indonesia, particularly in West Java Province, which has a high concentration of blue-collar workers. These workers, typically engaged in manual and technical sectors, often face structural vulnerabilities, including low job security, limited social protection, wage stagnation, and restricted career advancement opportunities. This study aims to analyze the characteristics and determinants influencing individuals’ likelihood of becoming blue-collar workers in West Java Province. Using a quantitative approach, the research draws on microdata from the 2022 National Labor Force Survey (SAKERNAS) provided by Statistics Indonesia (BPS). A binary logistic regression model is employed to examine how individual and employment-related characteristics affect the probability of working in blue-collar occupations. The results show that gender, marital status, education level, job training, participation in the Pre-employment Card program, age group, regional minimum wage category, and area classification significantly influence this likelihood. Notably, individuals with lower educational attainment are 2.9 times more likely to become blue-collar workers. The findings underscore the critical role of education in shaping labor market segmentation. Strengthening the education, vocational training, and Pre-employment Card ecosystem is essential to reduce the vulnerability of blue-collar workers and expand their access to decent, inclusive employment opportunities
Pandemi Covid-19 Dan Tenaga Kerja Muda Indonesia: Analisis Transisi Pekerja Muda Ke Pemuda Not In Employment, Education Or Training ( Neet) Di Indonesia Tahun 2020
No full textTransisi pekerja muda ke pemuda NEET merupakan bagian dari
permasalahan ketenagakerjaan penduduk Indonesia di tengah pandemi covid-19.
Menggunakan data Sakernas 2019 dan 2020, penelitian ini bertujuan untuk
menganalisis karakteristik dan determinan transisi pekerja muda ke pemuda NEET
di Indonesia pada masa pandemi. Berdasarkan hasil regresi logistik multinomial
diketahui bahwa jenis kelamin, kelompok umur, status perkawinan, hubungan
dengan kepala rumah tangga, status migran, pendidikan, penggunaan digital dan
internet pada pekerjaan, keterampilan, klasifikasi wilayah, status resiko covid-19,
sektor pekerjaan, kelompok pendapatan, dan lapangan usaha berpengaruh
signifikan pada transisi pekerja muda menjadi pemuda NEET unemployed maupun
inactive. Selain itu, kondisi makro ekonomi seperti inflasi, upah minimum provinsi
(UMP), dan pertumbuhan ekonomi juga berpengaruh signifikan pada transisi
pekerja muda menjadi pemuda NEET. Oleh karena itu, stakeholder terkait perlu
menerapkan kebijakan ketenagakerjaan untuk pencegahan maupun
penanggulangan transisi pekerja muda ke pemuda NEET pada masa pandemi
yang lebih spesifik pada gender, kelompok umur muda, lapangan usaha sekunder
dan menciptakan lapangan pekerjaan yang fleksibel bagi pemuda dengan
berbasis digital dan internet baik pada sektor formal maupun informal
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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