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Model Cellular Automata-Markov Chain for simulation of settlement development has developed in recent years because it effectively predicts spatial and temporal variations of land use. Population growth causes settlement land to increase and makes an area in providing settlement land needs to consider. Balikpapan city has a strategic position in the cross position of national and international transportation lines. It close to the prospective capital city of Indonesia has the potential to increase population growth. This study aims to provide input in the capital relocation policy, especially as a land-use management strategy and spatial planning. The method used in this study is the CA-MC model to predict the development of settlements in Balikpapan City in 2032. This study's variables are the Population, distance from the road, distance from the coastline, distance from the river, elevation, and slope used to simulate settlement land development's spatial distribution. The results showed an increase in settlement land in Balikpapan city. The event of settlement land occurs in areas with the right physical conditions and accessibility. The model shows the changes that occur linearly with the driving factor in the study. The availability of settlement land is less than they need; thus, a good land use management strategy must balance Balikpapan settlements' expansion.