Prosiding ICASID UBSI 2223

research
  • 04 Nov
  • 2023

Prosiding ICASID UBSI 2223

Unduhan

 

REFERENSI

1.
Lakshmanan
V.
Adrianto
I.
Smith
T.
Stumpf
G.
 (
2005
). 
A spatiotemporal approach to tornado prediction
Proceedings of the International Joint Conference on Neural Networks
3
1642
1647
2.
Saleem
K.
Sadjadi
S. M.
Chen
S. C.
 (
2008
). 
Towards a self-configurable weather research and forecasting system
5th International Conference on Autonomic Computing
ICAC
 2008, 
195
196
3.
Bala
K.
Choubey
D. K.
Paul
S.
 (
2017
). 
Soft computing and data mining techniques for thunderstorms and lightning prediction: A survey
Proceedings of the International Conference on Electronics, Communication and Aerospace Technology
ICECA
 2017, 2017-Janua, 
42
46
4.
Otsuka
T.
Torii
Y.
Ito
T.
 (
2014
). 
Anomaly detection algorithm for localized abnormal weather using low-cost wireless sensor nodes
Proceedings - IEEE 7th International Conference on Service-Oriented Computing and Applications
, SOCA 2014, 
304
308
5.
Salman
A.
Kanigoro
B.
Heryadi
Y.
 (
2015
). 
ICACSIS 2015: 2015 International Conference on Advanced Computer Science and Information Systems: October 10th and 11th 2015: Pusat Studi Jepang Universitas Indonesia, Depok Indonesia. ICACSIS 2015, 337
.
6.
Cahyanti
R.
Hutama
R. B.
Ramdlon
R. H.
Dwiastuti
W.
Hardiansyah
F. F.
Basuki
A.
 (
2017
). 
Whirlwind prediction using cloud movement patterns on satellite image
Proceedings - International Electronics Symposium on Knowledge Creation and Intelligent Computing, IES-KCIC 2017, 2017-Janua
252
257
7.
 
"
Badan Nasional Penanggulangan Bencana (BNPB)
," 24 Maret 
2021
. [Online]. Available: http://dibi.bnpb.go.id/.
8.
 
Badan Meteorologi Klimatologi dan Geofisika (BMKG)
,” 25 Maret 
2021
. [Online]. Available : http://data.bmkg.go.id/
9.
P.-N.
 
Tan
M.
 
Steinbach
, and 
V.
 
Kumar
2006
Introduction to data mining
Pearson Addison Wesley
Boston
.
10.
J. R.
 
Quinlan
1993
C4.5: Programs for Machine Learning
USA
Morgan Kaufmann
11.
J.
 
Sreemathy
 and 
P.
 
Balamurugan
, “
An efficient text classification using knn and naive bayesian
,” 
International Journal on Computer Science and Engineering
, vol. 
4
, no. 
3
, pp. 
352
351
2012
.