No abstract

A house or a place to live is a primary need for all beings, but the lack of affordable housing to buy or rent can trigger a global housing crisis. After the collapse of the housing market in the US or the subprime crisis of 2008-2009 there was a revival of focus on the housing market. Empirical research has been conducted to look at the variables that affect house prices. However, it is still rare for researchers to examine the influence of macroeconomic variables in countries that have a strong role in the world economy. Therefore this study aims to determine the effect of the Consumer Price Index, Construction GDP, Unemployment Rate, Population Density, Exchange Rate and Power Purchasing Parity on the House Price Index as an indicator that reflects house prices. So, the contribution of this research is to provide novelty in the use of the house price index to determine the determinants that influence it. This research is a quantitative research using secondary data. The regression model used in this study is the Random Effects Model. The result of this study is the Consumer Price Index and Purchasing Power Parity have a significant positive impact on house prices. Therefore, the government needs to maintain the stability of these two indicators so that house prices remain stable. The Unemployment Rate and Exchange Rate show a significant negative effect on house prices. Therefore, the government needs to monitor and maintain the stability of the exchange rate and reduce the unemployment rate so that there is no significant decline in house prices. Meanwhile, construction GDP and population density show no effect on house prices. Additional studies are urgently needed to identify factors and housing price movements contributing to global and regional levels.

Depok Coast in Bantul Regency popular for fishing activities. The potential for considerable marine resources in Depok Coast is a major factor in the progress of the fisheries business. The potential of these marine resources can provide a great opportunity for the development of capture fisheries and raise the economy of coastal communities. Sword and white pomfret fish are the main commodities in capture fisheries households in Depok Coast. However, if the occurrence of continuous arrests without further study is feared to cause the end of the sword and white pomfret fish resources in the future. This study aims to determine fisheries resources especially Sword and White Pomfret in Depok coast waters, with dynamic system models up to 2030. The method used in this research is the modeling of dynamic systems, where the sub-systems of the ecological, economic and associated social and serve as a model system dynamic of sword and white pomfret fish resources. Data for the ecological sub-system is an inventory of sword and white pomfret fish and the condition of the waters of Depok Coast. Furthermore, for the economic sub-system interviews were conducted by focus group discussion for the fishermen on Depok Coast and results in quantitative form. Data for the social sub-system is the number of fishermen and the population of Depok Village. The results of this modeling shows that overfishing can reduce sword and white pomfret fish resources if it is not compensated by fish preservation.