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All Journal ComTech: Computer, Mathematics and Engineering Applications
Prasetio, Yen Lina
Bina Nusantara University
Computer Science & IT Engineering Mathematics

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Journal : ComTech: Computer, Mathematics and Engineering Applications

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Aplikasi Rekomendasi Pola Makan Berbasis iOS Salman, Afan Galih; Prasetio, Yen Lina; Kanigoro, Bayu; Anggi, Anggi
ComTech: Computer, Mathematics and Engineering Applications Vol 3, No 2 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i2.2308

Abstract

The goal for implementing this system is to help users manage and track history about their eat pattern, choose proper food for body’s need, and pick restaurants. Methodology used for this research contains three parts, which is analysis, design, and literature study. In requirement analysis, we do some interview with nutritionist and food provider, analysis iOS user, compare with same kind of application, and identify components that we need. In design method, we use Unified Modelling Language approach, ERD design, and user interface design. The result is a food planning mobile application with iOS platform. This application can help user manage and track their eat pattern, help user choose balanced food that suitable for their body, and inform user where they can get food they plan to eat.
Perancangan E-Board Sebagai Alat Distribusi Informasi Pada Sistem Kerja Sama Asinkron Tersebar Yosanny, Agustinna; Prasetio, Yen Lina; Lasiman, Irwan; Welly, Welly
ComTech: Computer, Mathematics and Engineering Applications Vol 1, No 2 (2010): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v1i2.2356

Abstract

The design of e-Board was undertaken to meet the necessary of information between colleagues that nowadays has become more essential and vital especially in a team work that applying distributed asynchronous co-operative work system. In which, members of the team are distributed in time and space; therefore information should be well distributed to support the cooperative work between them. The research was applying analysis and design methodology. The analysis methodology was undertaken through literature study, current system observation, questionnaire survey to users to identify characteristics of the current and entailed information distribution media. The design methodology was undertaken through database, features, system, and screen layout design. Results of the research found that the information distribution media for team work which has applied distributed asynchronous co-operative work system should have the ability of private access for each member, better organization in information categorizing, structured information for task assignment, and supporting member's mobility. In conclusion, the application has been expected to help task assignment, distribution and organization of information in the distributed asynchronous co-operative work system to be easier and simpler.  
Implementasi Jaringan Syaraf Tiruan Recurrent Dengan Metode Pembelajaran Gradient Descent Adaptive Learning Rate Untuk Pendugaan Curah Hujan Berdasarkan Peubah Enso Salman, Afan Galih; Prasetio, Yen Lina
ComTech: Computer, Mathematics and Engineering Applications Vol 1, No 2 (2010): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v1i2.2384

Abstract

The use of technology of technology Artificial Neural Network (ANN) in prediction of rainfall can be done using the learning approach. ANN prediction accuracy measured by the coefficient of determination (R2) and Root Mean Square Error (RMSE).This research employ a recurrent optimized heuristic Artificial Neural Network (ANN) Recurrent Elman gradient descent adaptive learning rate approach using El-Nino Southern Oscilation (ENSO) variable, namely Wind, Southern Oscillation Index (SOI), Sea Surface Temperatur (SST) dan Outgoing Long Wave Radiation (OLR) to forecast regional monthly rainfall. 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 69.2% at leap 0 while the second data group that is 50% training data & 50% testing data produce the maximum R2 53.6%.at leap 0 Our result on leap 0 is better than leap 1,2 or 3. 
Pengembangan Aplikasi Penjadwalan Wisata Harian pada Smartphone dengan Pendekatan Scrum Prasetio, Yen Lina; Hanafiah, Novita; Yosanny, Agustinna; Yolanda, Catharine; Musbar, Febrina Piecella; Septianto, Denny
ComTech: Computer, Mathematics and Engineering Applications Vol 5, No 2 (2014): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v5i2.2175

Abstract

The technology development affects people activites especially in this 20th century. Mobile phone ischanged into smartphone and travelling becomes a new lifestlye. A Tourism scheduler with a reminder is created from this research to fulfill the new trend of people lifestyle. The travelling data is stored in the system and some information such as the point of interest of an area, hotel, and transportation to reach the area are provided. Waterfall model becomes the method to build this system. Hence, an application that can create a trip for the user is completely built in Blackberry application system, consist of the trip information. The history feature provided in this application can be an advantange for the user to choose the new travelling destination. Moreover, the application has a good interface follow the eight golden rules and has a good performance that helps the tourists/users to create their own schedule and set the reminder for them.
Co-Authors Anggi, Anggi Bayu Kanigoro Febrina Piecella Musbar, Febrina Piecella Hanafiah, Novita Lasiman, Irwan Salman, Afan Galih Septianto, Denny Welly, Welly Yolanda, Catharine Yosanny, Agustinna