Suchergebnisse

This qualitative study was analyzed using semi-detailed method is based on the assessment of data and information that is more accurate, can be quantitative. Primary data was collected through interviews with the stakeholders starting from the government officials, the academics and community leaders to get information about important issues emerging in Bolaang Mongondow. Secondary data collected from various government agencies and institutions or personnel associated with the research. The results showed that the mining activities in BolaangMongondow both for exploration and exploitation cause negative impacts by 50%. Starting from the conversion of land that have growing increasingly by time which can certainly bring problems in the future. The implication of uncontrolled agricultural land conversion can threaten food supply capacity and even in the long term can cause social harm. The mining activities, plantation and cultivation will lead to fragmentation of forest landscapes. Forest fragmentation will cause the forest to be smaller in which to live for animals and resulted in less food available for wildlife. There are 6 rivers in Bolaang Mongondow indicated that some parameters that are already above the value of standard quality. They are River Toraut located in the Sub-district of West Dumoga, Totabuan River, Tombolango River located in the Lolak Sub-district, upstream and downstream sections of Wineru River and Nonapan River located in Poigar Sub-District. In addition, natural disasters often occur in Bolaang Mongondow including floods and landslides. This natural disaster resulted in tremendous losses for the community. This study concludes that need to enactment of Regions to regulate mining activities in the area. And also there are should be intensive supervision from the institution concerned. The most important thing is also necessary accomplishment of an alternative control strategies are based on community participation.

This study aims to peel identifier factors of employment status on the educated working age population in North Sulawesi. Moreover, in this paper also calculated the deficit of decent work opportunities in North Sulawesi in 2015. Sources of key data used in the analysis and calculations using secondary data Sakernas 2013. Methods of analysis using multinomial logistic regression. Processing results obtained three significant variables: age, number of household members who work, and gender. Logistic regression models were obtained form 68.6% concordance rate. For a decent amount of work that needs to be createdat least 107 thousands between 2012 and 2015 or 35 thousands per year, if the target of 6.62% poverty rate and unemployment rate of 3.94% in 2015 to be achieved. The study recommends further research by incorporating several new variables among household income. Government needs to empower the productive population and women. Other decent employment targets also need to be developed such as a decrease in youth unemployment. Keywords: Labor, Population of Working Age