Research Article
Smart City in the Building and Environmental Planning Program (RTBL) of the Ampenan Old Town Area
@INPROCEEDINGS{10.4108/eai.13-12-2019.2298311, author={Siti Puspita Hida Sakti MZ and Marzuki Adami}, title={Smart City in the Building and Environmental Planning Program (RTBL) of the Ampenan Old Town Area}, proceedings={Proceedings of the 2nd Warmadewa Research and Development Seminar (WARDS), 27 June 2019, Denpasar-Bali, Indonesia}, publisher={EAI}, proceedings_a={WARDS}, year={2020}, month={8}, keywords={smart city smart living ampenan old city rtbl}, doi={10.4108/eai.13-12-2019.2298311} }- Siti Puspita Hida Sakti MZ
Marzuki Adami
Year: 2020
Smart City in the Building and Environmental Planning Program (RTBL) of the Ampenan Old Town Area
WARDS
EAI
DOI: 10.4108/eai.13-12-2019.2298311
Abstract
The City Government of Mataram established the Ampenan old town as a strategic trade and tourism service center using the Regional Spatial Plan (RTRW) in 2011 - 2031. Through the Building and Environmental Planning Program (RTBL) in 2013, the government made an architectural arrangement and approach to the Ampenan Old Town to develop the city to a more civilized level. The Regional Medium Term Development Plan (RPJMD) in 2016-2021 attempts to actrualize the concept of Smart City in the Mataram City Area, including the Ampenan old town. The study uses a qualitative method to compile the concept of Smart City in the Ampenan Old town based on Smart Living and implement the Building and Environmental Planning Plan (RTBL) strategy. It helps the Government to transform Ampenan Old town to a tourism center by introducing old buildings with cultural values, a unique culinary heritage, and festivals related to the diversity of each ethnic groupt. The techniques used in collecting data include interview, observation, study data and documentation. This study shows that the development of the smart city should be supported by qualified networks, such as 4G, on mobile sim cards or access to the internet. Internet activities can be used as a basis for the development of smart cities oriented to nifty living with supporting infrastructure.