Public procurement issues have drawn many concerns and became a public debate because the rules and regulations are constantly reformed and restructured. Public procurement contributions in the world economy are very significant. In Indonesia, according to the Ministry of Finance, public procurement spending for 2009 was 33.4 percent of total government spending. This study aims to determine implementation practices of Public Procurement Plans or Rencana Umum Pengadaan (RUP) in Bitung City of the North Sulawesi Province. The multiple statistical regression equation is used to process data from 47 respondents from regional apparatus task forces (SKPD) and the results show that the influence of independent variables (X) on dependent variable (Y) is 87.3 percent (R2), while 12.7 percent is influenced by other factors. The result of F-test shows that F-result = 36.231> F- table = 3.21. The calculated probability value is 0.000 which is smaller than 0.05. The partial test (t-test) from 9 independent variables (X) identifies 7 variables that have significant effects on the scores of RUP implementation (Y), while the other two variables have no significant effect. The overall results of t-test show that the implementation practices of public procurement plans have significant effects on the output of goods and services in the administrative district of Bitung City, which is a direct effect of the higher compliance rates of the bureaucratic apparatus performances in implementing public policies.

Each region has potentials and economic advantages that can be used as the source of its regional growth. The capability of each region to promote its own growth depends on its economic competitive advantages. This study is aimed to determine the centers of economic growth and regional development in West Halmahera Regency in the North Moluccas Province. The data used for analysis is secondary data which were collected using documentation method and internet browsing. The method of analysis used is scalogram analysis. The results show that among 9 subdistricts observed in this study, only 4 have the highest scores for socioeconomic infrastructures completeness. The subdistrict located in the central administrative area is the center of growth or growth pole, and the other 3 subdistricts act as the buffer areas. Based on scalogram analysis results, it is found that the growth of each subdistrict is relatively similar, with only 1 subdistrict that shows a relatively more advance growth in Hierarchy II with the highest Index of Subdistrict Growth (ISG) at 21.3433. The other 8 subdistricts are under-developedregions within Hierarchy III with variable Index of Subdistrict Growth (ISG).