Abstract—Locating the target nodes of indoor environment using the received Signal Strength Indicator (RSSI) measurement, often applies in several field areas. With the rise of location services applications, the need for positioning extends from indoor to outdoor areas, using same indicator in estimated position process. To address these challenges, this paper aims to propose indoor to outdoor positioning system using RSSI-based technique from Bluetooth Low Energy (BLE) transmission as a low-cost method in localization. By combining an Extended Kalman Filter (EKF) with Different Distance Correction (DDC) as the position estimation algorithm, it shows that the position accuracy result from the conventional multi-lateration based four RSSI measurement references can be significantly increased. To comprehensively evaluate the system performance, experiments are carried out in laboratory campus as the indoor environment and hallway outside the laboratory as the outdoor environment. The experimental results show that the proposed system using EKF-DDC can achieve error estimation only in 0.34 meters and the accuracy reaches up to 95.9% compared with only using conventional multi-lateration reached high error estimation up to 8.15 m at indoor to outdoor environment.