Prediction Framework for Potential Tuna Fish Zone in Indonesia-Reference-Cited by-同舟云学术

Prediction Framework for Potential Tuna Fish Zone in Indonesia

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 Asia Pacific Information Technology Conference on - APIT 2019
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Author:

Fitrianah Devi¹,Zen Remmy A.M.²,Praptono Nursidik Heru³

Affiliation:

1. Dept. Computer Science, Universitas Mercu Buana, Meruya Selatan, Jakarta, Indonesia

2. Dept. of Computer Science, National University of Singapore, Computing Drive Singapore

3. Dept/ of Computer Science, Universitas Indonesia, Depok, Jawa Barat, Indonesia

Publisher

ACM Press

Reference9 articles.

1. D. Fitrianah, "Feature Exploration for Prediction of Potential Tuna Fishing Zones," Int. J. Inf. Electron. Eng., vol. 5, no. 4, pp. 270--274, 2015.

2. D. Fitrianah, N. H. Praptono, R. A. M. Zen, A. N. Hidayanto, and A. M. Arymurthy, "An integrated system architecture in managing fishery data in Indonesia," 2014 4th Int. Conf. Digit. Inf. Commun. Technol. Its Appl. DICTAP 2014, pp. 101--108, 2014.

3. D. Fitrianah, N. H. Praptono, A. N. Hidayanto, and A. M. Arymurthy, "A Conceptual Framework of Critical Success Factors to Develop an Integrated Application of Tuna Fishing Data Management in Indonesia," Icacsis 2014, pp. 113--118, 2014.

4. S. Mansor, C. K. Tan, H. M. Ibrahim, and A. R. M. Shariff, "Satellite Fish Forecasting in South China Sea," Engineering, vol. 2, no. November, pp. 5--9, 2001.

5. H. U. Solanki, P. C. Mankodi, S. R. Nayak, and V. S. Somvanshi, "Evaluation of remote-sensing-based potential fishing zones (PFZs) forecast methodology," Cont. Shelf Res., vol. 25, no. 18, pp. 2163--2173, 2005.

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