Open AccessOptimization Model for Subsidized Housing using Linier Programming Associated with Land Suitability
Author(s) -
Alif Catur Murti,
Muhammad Imam Ghozali,
Wibowo Harry Sugiharto
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1430/1/012056
Subject(s) - subsidy , government (linguistics) , population , subdivision , land use , quality (philosophy) , linear programming , computer science , business , engineering , civil engineering , economics , algorithm , linguistics , philosophy , demography , epistemology , sociology , market economy
The increasing population from year to year raises the problem of population density. The population density of the Kudus Distric from 2010 to 2014 increases in quality every year. Recorded in the Central Bureau of Statistics in 2010 the population density (Soul Per Km2) around 1833 and in 2014 reached 1931. Population growth rate is proportional to the growth rate of existing houses as shelter. The Government of Kudus District as a program implementing “million houses” from the President of the Republic of Indonesia provides solutions in terms of security in the administration of land administration. Developers of subsidized housing need to take several aspects in development, such as Spatial Planning in each region, especially Kudus District, the long-term program and government functions. There needs to be a system capable of determining the optimal level of the type of housing to be built with the suitability of existing land. There needs to be a system capable of determining the optimal level of the type of housing to be built with the suitability of existing land. condition that need to reach the optimal level can be done by using linear programming method. All these things can be integrated and execute with the existence of eco-friendly Development System