Jurnal IPTEK
Vol 23, No 2 (2019)

Development of Artificial Neural Network for Predicting The Photodegradation of Reactive Black 5 Dye

Widiana, Dika Rahayu (Unknown)
Adhitya, Ryan Yudha (Unknown)

Article Info

Publish Date
31 Dec 2019

Abstract

We applied a multilayer artificial neural network (ANN) developed using a Lavenberg–Marquadt algorithm to predict the photodegradation activity of the Reactive Black 5 (RB5) dye. A copper-doped titanium dioxide was employed as a photocatalyst. A copper doped titanium dioxide was synthesized through a wet-impregnation method. To optimize the network the operational parameters including the RB5 initial concentration, photocatalyst dose, irradiation time, hydrogen peroxide concentration, and visible light intensity were used as the input parameter. Removal efficiency of RB5 was selected as output. The number of neurons in the second hidden layer was optimized to determine the suitable ANN model structure for the RB5 removal. ANN based through Levenberg-Marquadth algorithm with structure 1-10-21-1 gave the best performance in this study. The criteria for the applicability of the model were the root mean square error (0.1) and coefficient of correlation (0.98275).

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Journal Info
Jurnal IPTEK
Website

Abbrev

IPTEK

Publisher

Institut Teknologi Adhi Tama Surabaya

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Industrial & Manufacturing Engineering Mechanical Engineering

Description

Jurnal IPTEK - Media Komunikasi Teknologi Diterbitkan secara berkala setahun 2 (dua) kali pada bulan Mei dan Desember oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM), Institut Teknologi Adhi Tama Surabaya (ITATS). Jurnal ini memuat hal-hal yang berkaitan dengan bidang Teknik Sipil, ...