Farahdina Risky Ramadani, - (2023) Model Estimasi Timbulan Sampah Kota Pekanbaru Menggunakan Algoritma Backpropagation. JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING, 7 (1). ISSN ISSN: 2549-6247 (Print) | ISSN: 2549-6255 (Online) (In Press)

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Abstract

Waste generation in Pekanbaru City, Riau Province cannot be managed optimally. Based on 2020 data, less than 50% of the waste that reaches the Final Disposal Site (TPA) reaches. To overcome this problem, this study creates an estimation model that can estimate the amount of waste generated each year. So that it can help the authorities to implement various policies to control waste generation. The estimation model is created using the backpropagation algorithm. The attributes used are those related to population and waste generation. Based on the results of experiments conducted using RapidMiner software, the best network architecture model is the 6-6-1 model, namely six nodes in the input layer, six nodes in the hidden layer, and one node in the output layer. The six nodes in the input layer refer to the number of attributes used. The activation function used is binary sigmoid. The RMSE value generated from the best model is very low, namely 0.0181. So it can be concluded that this model can be used to estimate waste generation in Pekanbaru City.

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