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All Journal IT For Society : Journal of Information Technology
R.B Wahyu
President University
Computer Science & IT

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Implementing Cascade Classifier In Android Application “Find Marks” R.B Wahyu; Hidayat Saputra
IT for Society Vol 3, No 01 (2018)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.081 KB) | DOI: 10.33021/itfs.v3i01.581

Abstract

Nowadays going through other places is easier to do. Explore new area is quite common activities by every people since they have sense to know about the environment or situation around them or just curiosity about somewhere else they didn’t know yet. People have different ability to adapt and ways to know how the environment around them. Not all people feeling easy with their new environment and socialize with local people.This research intends to implement object detection as one of feature from computer vision in android application. This application also will assist users how to training image for cascade classifier. User will be able to do object detection using built in Android smartphone camera to receive direction to some place or building from provided marker or logo. It also gives user information about the current place.
Documents Clustering Using K-Means Algorithm R.B Wahyu; Arnold Vito
IT for Society Vol 3, No 02 (2018)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (512.717 KB) | DOI: 10.33021/itfs.v3i02.589

Abstract

Nowadays in the digital era, people could easily access and stored a wide range of information through the Internet into documents. With the huge number of unstructured documents with various type of information in digital storage, people need an application that could help them organize and classify the documents automatically. Documents Clustering using K-Means Algorithm is a desktop-based documents clustering application which implement K-Means Algorithm to provides clustering output based on the documents content similarity up to 85% accuracy based on the user expectation.
Co-Authors Arnold Vito Hidayat Saputra