DESAIN UMKM CORNER PADA DINAS PERINDUSTRIAN DAN PERDAGANGAN KABUPATEN TULUNGAGUNG
Keywords:
information system design, UMKM corner, data processing, data integration, data presentationAbstract
UMKM Sector of Disperindag Tulungagung collects UMKM data for updating data periodically
in the region of Tulungagung. Unfortunately, in UMKM data processing, Disperindag still uses
file-oriented data processing, which is a grouping of data done manually and has different format
for each central industry. This kind of data processing has some problems. The problems are 1)
Ineffective, 2) Impractical, 3) Wasting a lot of times and efforts, 4) Difficult in performing data
integration. Based on that problems, Disperindag Tulungagung needs information System Design
of UMKM Corner to make data processing system more practical, fast, safe, integrated and less
risk for the user. The advantage of UMKM Corner System is the applications build as a desktop
program based on geographic information systems. So the data presentation can be done by
accessing based on the districts map, the industrial district menu, and the industrial group menu.
References
Wong & Kin-Man Lam. (2008).
Simplified Gabor wavelets for human face recognition, Elsevier, Pattern
Recognition 41, pp. 1186-1199
Wei Jiang, Kin-Man Lam & Ting-Zhi Shen.
(2009). Efficient Edge Detection Using
Simplified Gabor Wavelets, IEEE
Transactions on Systems, Man and
Cybernetics-Part B: Cybernetics,
Vol.39, No.4, pp.1036-1047.
Wei Jiang, Ting-Zhi Shen, Yu Hu & Xin-Yi
Wang. (2008). Gabor wavelets for
Image Processing, IEEE International
Colloquium on Computing,
Communication, Control, and
Management, Vol.1.pp.110—114.
Selvathi, D., Sujatha, C. (2012). An Optimal
Solution For Image Edge Detection
Problem Using Simplified Gabor
Wavelet, International Journal of
Computer Science, Engineering and
Information Technology, Vol.2, No.3,
pp. 99-115.
Song-Iin Liu, Zhao-dong Niu, Gang Sun, &
Zeng-ping Chen. (2014). Gabor FilterBase
Edge Detection: A Note, Elsevier,
Optik 125, pp.4120-4123.
Serrano, A., Diego, I.M., Conde, C., &
Cabello, E. (2010). Recent Advances in
Face Biometrics with Gabor Wavelets,
Elsevier Pattern Recognition Letters,
Vol. 31, pp. 372-381.
Tai Sing Lee. (1996). Image Representation
Using 2D Gabor Wavelets, IEEE
Transaction on Pattern Analysis and
Machine Intelligence, Vol 18, No. 10.
Grigorescu, S.E., Petkov, N., & Kruizinga, P.
(2002). Comparison of Texture Features
Based on Gabor Filters, IEEE
Transactions on Image Processing, Vol.
11, Nol. 10, pp. 1160-1167.
Yiming Ji, Kai H. Chang, & Chi-Cheng
Hung. (2004). Efficient Edge Detection
and Object Segmentation Using Gabor
Filters, ACMSE, pp. 454-459.
Jian-Jun Hao, Qiang Jiang, Jian-Wei Wei, &
Lin Mi. (2010) Research of Edge Detection Based on Gabor Wavelet,
IEEE International Conference on
Measuring Technology and
Mechatronics Automation, Vol. 2,
pp.1083-1086.
Gonzalez. R & Woods R.E. (1992). Digital
Image Processing, Addision- Wesley
Publishing Co.Inc.
Jun Li. (2003). A Wavelet Approach to Edge
Detection. Thesis The Department of
Mathematics and Statistics Sam Houston
State University.
Daugman, J.G. (1988). Complete Discrete 2D
Gabor
Transforms
by
Neural
Network
for
Image Analysis and Compression,
IEEE Transaction On Acoustics,
Speech, And Signal Processing, Vol. 36,
No. 7, pp. 1169-1179.
Fu Chang, Chun-Jen Chen, & Chi-Jen Lu.
(2003). A Linear-time Component-Labeling
Algorithm Using Contour Tracing
Technique, Elsevier, Computer Vision and
Image Understanding