Analisis Kesesuaian Lahan untuk Lokasi Permukiman di Kota Pekanbaru

Putra, Ryan Rianda (2019) Analisis Kesesuaian Lahan untuk Lokasi Permukiman di Kota Pekanbaru. Other thesis, Universitas Islam Riau.

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Abstract

One of the issues in the Pekanbaru City is increasing population so it also increases the need for settlements and lead to the construction of settlements on land that is not supposed to be. The purpose of this research is to analize the land suitability for settlements locations in Pekanbaru City with the goals is (1) To identify the land use in Pekanbaru City, (2) To identify the appropriate distribution of land suitability for settlements locations based on physical aspects in Pekanbaru City, (3) To identify the class of suitability of settlements land in Pekanbaru City. This research uses a deductive process with quantitative descriptive researh methods and overlay methods. Quantitative descriptive analysis is used to describe the results of the analysis presented in the form of the land use maps and the overlay maps results, while the overlay method is used to unification data from several different maps. The sampling technique was carried out using random sampling which was distributed randomly in 12 sub-districts in Pekanbaru City. The results of this research are (1) Land use in Pekanbaru City is divided into eight regions, where the settlements area continues to increase, that is from 125,49 km 2 2 to be 132,56 km from 2007 to 2016, (2) Appropriate distribution of land suitability for the settlements location based on phisycal aspects in the Pekanbaru City is divided into four class, that is suitable which has area of 208,95 km 2, enough suitable which has area of 111,45 km 2, marginal suitable which has 2 area 208,99 km, and not suitable which has area of 108,19 km 2, (3) The suitable of settlements area in Pekanbaru City is increased every year that is from 86,92 km 22 to be 90,63 km from 2007 to 2016 and the settlements area which not suitable tend not to increase that is 5,22 km 2 from 2007 to 2016.

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