This paper aims to investigate the role of inflation, unemployment, and economic growth in explaining the prevalence of poverty in Bengkulu Province. The study used a time series data for 26 years . The data were secondarily sourced from statistics bureau. Ordinary least square (OLS) was used as an analytical technique. Empirical results show that inflation and unemployment have positive and economic growth has negative impact on poverty. The paper recommends to applied an appropriate macroeconomic policy which is crucial for poverty alleviation. To improve economic growth, efforts must be put in place to increase productivity; improving the level of local production. To restrain the surging rate of unemployment, it is necessary to creates a work training center, opening new economic centers, and linking education and skills needed in the labor market. Furthermore, there must be concrete efforts to controlling inflation, because inflation affects poverty mainly through its impact on real wage. In other word, inflation affects people's purchasing power.
The aim of this research is to analyze how are opportunity occured unemployment based on characteristics of populations in Bengkulu province. Characteristics of populations that used are education, training/course certificate, age, gender, work experience, marital status, status in the family, and area of residence. The analytical method used to achieve this goal is the logistic regression analysis. Type of key data use row data derived from the National Labor Force Survey (Sakernas) February 2018. The result of the calculation using the program SPSS 20.0 was found that not all the variables of population characteristics significantly affect the chances of unemployment with a confidence level of 95 percent. Education and age are significantly affect of unemployment in Bengkulu Province, while training/course certificate, gender, work experience, marital status, status in the family and area residence are not significantly affect of unemployment in Bengkulu Province. Keywords: Logistic Regression Analysis, National Labor Force Survey (Sakernas), Unemployment.
The purpose of this paper is to describe the role of Local Economic Developmet (LED) in achieving the Sustainable Development Goals (SDG;s). This paper uses previous research articles as a basis for describing the implementation of LED in various aspects and their relation to the achievemnet of the SDG’s. the results of the research show that LED is one way to achive the SDGs, especially with regard to inclusive and sustainable economic growth, full and produktive employment, and decent work for all.
Keywords: Local Economic Developmet1, Sustainable Development Goals2
Multimodality has been studied in relation to a variety of text genres, but it has yet to be used to textbook covers. This paper is aimed at examining the representational meaning of visual resources in the covers of selected English textbooks and how the verbal and visual modes strengthen each other’s meaning. This is a qualitative research that uses a multimodal discourse analysis paradigm. Visual and verbal data were gained from two covers of selected English textbooks. The analysis includes representational meaning (Kress van Leeuwen, 2006), text generic structure (Cheong, 2004), and intersemiotic complementarity (Royce, 2007). The findings indicate that the representational meaning consists of narrative and conceptual representations within the structures of lead, display, announcement and emblem. Through the relationships of repetition, synonymy, and meronymy, verbal and visual modes help each other build cohesiveness. The cohesion signifies the relation between visual images and verbal texts to convey meaningful messages of the covers. Certain implications were also elaborated in this study.
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