Publikasi

@conference{Maulana2020b,

title = {A spatial decision support system for peatland fires prediction and prevention in Bengkalis Regency, Indonesia},

author = {Sandhi I Maulana and Lailan Syaufina and Lilik B Prasetyo and M N Aidi},

url = {https://iopscience.iop.org/article/10.1088/1755-1315/528/1/012052/meta},

doi = {10.1088/1755-1315/528/1/012052},

year  = {2020},

date = {2020-07-21},

volume = {528},

publisher = {IOP Conf. Ser.: Earth Environ. Sci},

abstract = {A Spatial decision support system (SDSS) is an integrated computer-based system that can be used to support decision makers in addressing spatial problems through iterative approaches with functionality for handling both of spatial and non-spatial databases, analytical modelling capabilities, decision making support, as well as effective data and information presentation utilities. Previously, many studies have proven that this kind of decision support system is also useful in addressing wildfires problems effectively. Considering this technological advancement, this study is primarily aimed to develop a peatland fires management system by implementing the concept of SDSS. Developed system in this study is consisting of two separate sub-system, namely prediction and prevention sub-systems, which are then integrated into one whole working scheme using loose coupling method. Overall, it can be concluded that such integrated prediction and prevention system has various advantages. Firstly, it is useful to establish rapid coordination among involved stakeholders in deciding suitable approaches to prevent peatland fires. Secondly, promoting a more pro-active fire management system that is relied on predict-and-prevent approach. Thirdly, avoiding further delay on fires prevention while minimizing error in resources allocation. Lastly, this kind of decision support system can be rapidly updated following on-going technological and field situation developments.},

keywords = {Bengkalis, DSS, fire, peat land, Riau},

pubstate = {published},

tppubtype = {conference}

}