Analisis Spasial Untuk Klasifikasi Pengembangan Tempat Penampungan
Sementara Menggunakan Metode Jaringan Syaraf Tiruan

Analisis Spasial Untuk Klasifikasi Pengembangan Tempat Penampungan
Sementara Menggunakan Metode Jaringan Syaraf Tiruan

Spatial Analysis, Web-GIS, Garbage Shelters, Artificial Neural Network, Backpropagation

Garbage is a problem that needs an in-depth study in urban areas because the development of an area has consequences on
increasing population density, facilities and infrastructure, public services, and other aspects that impact increasing the volume
of waste. The distribution of temporary waste shelters (TPS) in each area is still insufficient to accommodate the volume of
waste, and its availability is inadequate. The purpose of this study is to model spatial data through spatial analysis using
artificial intelligence methods in classifying the development of integrated temporary shelter locations (TPST) and regional
integrated temporary shelters (TPST Regions) by utilizing Web-based technology (Geographical Information System (WebGIS). The Artificial Neural Network method with the Backpropagation algorithm is used for the spatial analysis process based
on the parameters of the population, the amount of organic and inorganic waste, the amount of industrial waste, and the volume
of the TPST and Regional TPST capacity. The spatial analysis results using the Artificial Neural Network method obtained an
accuracy value of 7171.02%. The results of this study can be the basis for Department of Environment and Cleanliness policies
for the development of TPST and TPST areas with information coverage at the village level

Luqman Hakim1
, Anik Vega Vitianingsih2
, Gita Indah Marthasari3
,
Kresna Arief Nugraha4
, Anastasia Lidya Maukar5

Informatika, Teknik, Universitas Muhammadiyah Malang

27-02-2022

Fajar bagus W

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Indonesia

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