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All Journal Jurnal Ilmu Lingkungan JUITA : Jurnal Informatika
Elfizar Elfizar
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Computer Science & IT Environmental Science

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Sistem Informasi Geografis Pemetaan Kantor Polisi Wilayah Kota Pekanbaru Provinsi Riau Sukamto Sukamto; Elfizar Elfizar; M Bimo Septiono
JUITA : Jurnal Informatika JUITA Vol. 5 Nomor 2, November 2017
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (905.298 KB) | DOI: 10.30595/juita.v5i2.1857

Abstract

Abstract  This research discusses about the Geographical Information System (GIS) mapping of Police Station in the city of Pekanbaru in  Riau province. The absence of information about the existence of digital spread Police Station in the city of Pekanbaru that makes people want to take care of these needs when police agencies Pekanbaru be hampered because it takes a long time to find the police station .. It is underlying this research. SIG provides information to the public regarding the location and type Police Station in the city of Pekanbaru, so as the public will more easily find the Police Station to take care of the police office purposes. Besides GIS also helps the police Pekanbaru in determining the crime- prone locations occur so police can take preventive measures or planning to build a new police station. The information systems using programming language HTML, CSS, JQuery, PHP, XML, and Google Maps,  and then MySQL as a database. To design the system using System Flowchart, Data Flow Diagram, and Entity Relation Diagram.  Keywords : Mapping of Police station, Geographical Information System,
PENERAPAN MODEL BERBASIS ARTIFICIAL NEURAL NETWORK UNTUK MEMPREDIKSI KUALITAS AIR DI SUNGAI SUBAYANG KABUPATEN KAMPAR Endang Agus Damanhuri; Yusni Ikhwan Siregar; Elfizar Elfizar
Jurnal Ilmu Lingkungan Vol 14, No 1 (2020): Jurnal Ilmu Lingkungan
Publisher : Program Pascasarjana Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jil.14.1.p.18-28

Abstract

Water quality management is very important to do, because water is an inseparable part of everyday human life. Monitoring water quality is a way to maintain the quality of waters, especially rivers. River quality monitoring that is usually done requires a lot of equipment, effort and expertise so that its application becomes expensive and complicated. Technology that is growing rapidly nowadays puts forward artificial intelligence as the backbone of the Industrial Revolution 4.0 which promises many conveniences for industry and government. One of artificial intelligence technology is machine learning with Artificial Neural Network algorithm which is commonly used to predict or forecast a future value. This artificial neural network can be used to help monitor river water quality. The objective of this research to develop Artificial Neural Networks (ANN) model to predict the paramater of river quality (DO, pH, turbidity, temperature, water flow, conductivity) in the Subayang River, Kampar Regency, using software Rapidminer. The performance of the ANN models was evaluated using root mean squared error (RMSE) and correlation squared (R2) as a second comparison, then the results of the testing implementation are compared with direct measurements in the field. With the RMSE values obtained in the test results of each parameter DO = 1.613, pH = 0.098, turbidity = 4.730, temperature = 0.493, water flow = 0.121 and conductivity = 0.909. The lower the RMSE level, the closer it is to Artificial Neural Network accuracy for value prediction.  
Co-Authors Endang Agus Damanhuri M Bimo Septiono Sukamto, Sukamto Yusni Ikhwan Siregar