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Proboscis Monkey Habitat (Nasalis larvatus Wurmb) in the area of IUPHHK-RE PT. Ekosistem Khatulistiwa Lestari experiences pressure and disruption due to human activities, resulting in a decrease in habitat quality and quantity. Seeing these conditions, it is necessary to take action to protect the habitat of proboscis monkeys and their populations. To support efforts to save and protect the proboscis monkey habitat and its population, information is needed on the area chosen by proboscis monkey as its suitable habitat in the IUPHHK-RE PT. Ekosistem Khatulistiwa Lestari through Geography Information System (GIS). The study was conducted using a field observation method and analyzed the thematic maps of each variable used, such as river thematic maps, plantation thematic maps, and canopy cover thematic maps (NDVI). The data analysis method used in estimating the suitability of Proboscis monkey habitat in this study was logistic regression analysis. This logistic regression analysis is basically built in order to predict the dependent variable or response, which is a binary variable and categorical, using independent variables that are categorical or of a continuous size scale which are known in magnitude. The logistic regression formula obtained is P = 1 / (1 + e ^ (- (3,9- (0,003 * JPE) - (12,690 * NDVI))) The spatial model built from the opportunity value of the logistic regression calculation using SPSS 23 software obtained the opportunity data distribution value in the lowest pixel (X1) 0 and the highest (Xn) 1, with an average of 0.537 and standard deviation (sd) 0.439. Based on the values of Xn and X1, the intervals of each class are determined using the formula c = (Xn - X1) / k, so that 3 classes of suitability are obtained, namely low compatibility with an area of 664.83 ha (27.26%), medium suitability class with 124 , 28 ha (5.1%) and high suitability class with an area of 1,649.32 ha (67.64%). The habitat component favored by proboscis monkeys is high canopy cover which is used as a playground and also a bed, close to water sources to meet water needs and away from plantations where there is high community activity.