The growing patterns in cultural and mining sectors are interesting particularly in developed country such as in Indonesia. Here, we investigate the local characteristics of stocks between the sectors of agriculture and mining which si representing two leading companies and two common companies in these sectors. We analyze the prediction by using Adaptive Neuro Fuzzy Inference System (ANFIS). The type of Fuzzy Inference System (FIS) is Sugeno type with Generalized Bell membership function (Gbell). Our results show that ANFIS is a proper method to predicting the stock market with the RMSE : 0.14% for AALI and 0.093% for SGRO representing the agriculture sectors, meanwhile, 0.073% for ANTM and 0.1107% for MDCO representing the mining sectors.
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30 September 2015
THE 5TH INTERNATIONAL CONFERENCE ON MATHEMATICS AND NATURAL SCIENCES
2–3 November 2014
Bandung, Indonesia
Research Article|
September 30 2015
Prediction analysis and comparison between agriculture and mining stocks in Indonesia by using adaptive neuro-fuzzy inference system (ANFIS)
Irsantyo Mahandrio;
Irsantyo Mahandrio
a)
Physics of Earth and Complex Systems,
Institut Teknologi Bandung
, Indonesia
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Andriantama Budi;
Andriantama Budi
Physics of Earth and Complex Systems,
Institut Teknologi Bandung
, Indonesia
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The Houw Liong;
The Houw Liong
Physics of Earth and Complex Systems,
Institut Teknologi Bandung
, Indonesia
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Acep Purqon
Acep Purqon
Physics of Earth and Complex Systems,
Institut Teknologi Bandung
, Indonesia
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a)
Corresponding author: [email protected], [email protected]
AIP Conf. Proc. 1677, 080004 (2015)
Citation
Irsantyo Mahandrio, Andriantama Budi, The Houw Liong, Acep Purqon; Prediction analysis and comparison between agriculture and mining stocks in Indonesia by using adaptive neuro-fuzzy inference system (ANFIS). AIP Conf. Proc. 30 September 2015; 1677 (1): 080004. https://doi.org/10.1063/1.4930735
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