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Land use is one of the dynamic surface parameters that will changes. Semarang is the capital city of Central Java Province which experienced a fairly high land use change. The impact of regional development is the land use changes, that is occur from agricultural land into built land. Analysis with remote sensing data is a cheap and accurate method to identifying of the land use changes. Landsat imagery is data that has a long data record series. So that the data can be used to surface monitoring. Landsat image data has a multispectral band that can be used for digital analysis. Maximum likelihood Classification is a digital classification that gives quite accurate results. The results obtained in this study is map comparison of the land use type in Semarang City between 1991 and 2019. Changes occur on agricultural lands and bare land into satlement, so that the right targets in development need to be. So that the results can be used as recommendations for the Central Java Provincial Government for the direction of the sustainable development sector.