Secure SMS App

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An encryption-enabled (secure) sms messaging app. This app can deliver and receive sms with encryption and digital signature using ECDSA. Secure SMS was developed using Android Studio. Collaborate with Andre Susanto and Akhmad Fakhoni Listiyan Dede.

• Repository: SecureSMS
• Date: April 2016
• Service: Android Apps

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Oil Facts

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Interactive Data Visualization Project about World's Crude Oil Price and Production across countries. This project was developed using Bootstrap templates and D3.js as data visualization library. Collaborate with Linda Sekawati, Hendro Triokta Brianto and Jonathan Sudibya. Click here to see the website.

• Repository: OilFacts
• Date: April 2016
• Service: Data Visualization

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ITB DPK Service

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Restful API for finding DPK data from ITB course. This project was developed using Node.js framework.

• Repository: ITB-DPK-ServiceAdapter
• Date: September 2015
• Service: Web Development

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Secure File Upload

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Small scale research project. Build a new file authentication system for file uploading. This project was developed using jsrsasign (javascript encryption library) for client-side and Java Servlet for server-side.

• Repository: SecureFileUpload
• Date: May 2016
• Service: Web Development & Cryptography

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Simple PHP Blog

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A simple web blog using PHP (without framework) and MySQL for the database. User can post a plain article without any special formating, delete and edit a blog post, and also post a comment on a post. This web using AJAX for loading and posting a comment.

• Repository: Simple-Blog
• Date: Oktober 2014
• Service: Web Development

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Electric Thermometer (Arduino Platform)

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Minimum system for temperatur detecting. Using Arduino UNO R3 with temperature sensor, 7 segment LED for displaying temperature in 4 scale mode (Celcius, Fahrenheit, Kelvin, Reamur), and LED light for overheat indicator. Collaborate with Mamat Rahmat and Junita Sinambela.

• Repository: Eletric Thermometer
• Date: May 2015
• Service: Platform Development

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News Classifier

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Web application for classifying news article. Using WEKA 3.6 API for learning and classifying. User input the title and full text of the article which will be classified. The output is the label of the news. User may also give feedback on whether the news correctly classified or not. Collaborate with Luthfi Hamid Masykuri, Annisaur Rosi Lutfiana, Tirta Wening Rachman, and Tony.

• Repository: News Classifier
• Date: December 2014
• Service: Web Development - Machine Learning

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