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All Journal Jurnal Informatika Jurnal Telematika
The Houw Liong
Departemen Teknik Informatika Institut Teknologi Harapan Bangsa Jalan Dipatiukur No. 83–84 Bandung
Computer Science & IT Electrical & Electronics Engineering

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Journal : Jurnal Informatika

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PREDIKSI CUACA MENGGUNAKAN METODE CASE BASED REASONING DAN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM Chaniago, Ria; Liong, The Houw; Wardani, Ken Ratri Retno
Jurnal Informatika Vol 12, No 2 (2014): NOVEMBER 2014
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.721 KB) | DOI: 10.9744/informatika.12.2.90-95

Abstract

Weather is one of the nature elements that can influence decision making in human's life. Based on that issue, the author wants to make an application that is able to predict weather with good accuracy. The application is a weather forecasting system, using computer technology that implements expert system. The methods used are Adaptive Neuro Fuzzy Inference System (ANFIS) and Case Based Reasoning (CBR), and a combination of both methods will applied to the system. The system also has learning methods like Backpropagation Error (BPE) and Recursive Least Error (RLSE), to increase its accuracy. Clustering and data cleaning also done inside the system, as it needed by forecasting process to achieve a good result. K-Means is the clustering algorithm, while Box and Whisker Plot is the algorithm for data cleaning. The result from this project is to create a weather forecasting system with high accuracy.
Co-Authors Hartanto, Harry Ken Ratri Retno Wardani Martina, Inge Ria Chaniago Wijaya, Jayme Yeremia