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ComTech: Computer, Mathematics and Engineering Applications
Published by Universitas Bina Nusantara
ISSN : 20871244     EISSN : 2476907X     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Engineering Mathematics
The journal invites professionals in the world of education, research, and entrepreneurship to participate in disseminating ideas, concepts, new theories, or science development in the field of Information Systems, Architecture, Civil Engineering, Computer Engineering, Industrial Engineering, Food Technology, Computer Science, Mathematics, and Statistics through this scientific journal.
Arjuna Subject : -
Articles 62 Documents
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Search results for , issue "Vol 2, No 1 (2011): ComTech" : 62 Documents clear
Implementasi Jaringan Syaraf Tiruan Recurrent Menggunakan Gradient Descent Adaptive Learning Rate and Momentum Untuk Pendugaan Curah Hujan Salman, Afan Galih; Prasetio, Yen Lina
ComTech: Computer, Mathematics and Engineering Applications Vol 2, No 1 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i1.2707

Abstract

The artificial neural network (ANN) technology in rainfall prediction can be done using the learning approach. The ANN prediction accuracy is measured by the determination coefficient (R2) and root mean square error (RMSE). This research implements Elman?s Recurrent ANN which is heuristically optimized based on el-nino southern oscilation (ENSO) variables: wind, southern oscillation index (SOI), sea surface temperatur (SST) dan outgoing long wave radiation (OLR) to forecast regional monthly rainfall in Bongan Bali. The heuristic learning optimization done is basically a performance development of standard gradient descent learning algorithm into training algorithms: gradient descent momentum and adaptive learning rate. The patterns of input data affect the performance of Recurrent Elman neural network in estimation process. The first data group that is 75% training data and 25% testing data produce the maximum R2 leap 74,6% while the second data group that is 50% training data and 50% testing data produce the maximum R2 leap 49,8%.
Pengembangan Website E-Marketing: Studi Kasus Pada PT. Usaha Gedung Bank Dagang Negara Honni, Honni; Amelia, Fitri
ComTech: Computer, Mathematics and Engineering Applications Vol 2, No 1 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i1.2779

Abstract

Use of the Internet has become a part of business activities, one of which is marketing via the Internet. Marketing is an activity that determines a company?s success. A web-based marketing can eliminate the existing limitations of conventional marketing such as time constraints and distance. Therefore, through this paper is proposed the development of marketing via the internet, or commonly known as e-marketing, so that the company can obtain maximum benefits as expected. The methodology used in the development of e-marketing website is The Seven Stage Cycle of Internet Marketing. The result achieved is a company?s e-marketing website. Conclusions obtained is that by using a web-based marketing, it is expected to help companies overcome the existing deficiencies, and can provide added value in improving promotions to better introduce the company to the market as well as to achieve profit increase. 

Page 7 of 7 | Total Record : 62

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