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All Journal REKAYASA Knowledge Engineering and Data Science
Mochammad Hariadi
Jurusan Teknik Elektro Bidang Studi Jaringan Cerdas Multimedia, ITS
Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Engineering Physics

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SWAKALIBRASI KAMERA MENGGUNAKAN MATRIKS FUNDAMENTAL Rahmanita, Eza; Mulyanto, Eko; Hariadi, Mochammad
Rekayasa Vol 3, No 2: Oktober 2010
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.714 KB) | DOI: 10.21107/rys.v3i2.2295

Abstract

Makalah ini membahas proses kalibrasi yang memerlukan data koordinat citra untuk bisa mendapatkan semua informasi dari kamera. Data koordinat citra diambil dari 2 view kamera. Koordinat citra dari 2 view kamera tersebut dapat terkoresponden dengan adanya matrik fundamental. Metode yang digunakan dalam swakalibrasi ini menggunakan matrik fundamental. Matrik fundamental merupakan korespendensi antarkoordinat citra pada view 1 dengan garis epipolar pada view ke-2. Titik potong garis epipolar disebut dengan titik epipole. Data tersebut dapat digunakan dalam penelitian selanjutnya pada proses rekonstruksi objek 3D. Kata kunci: swakalibrasi, matriks fundamental, garis epipolar, titik epipole AbstractThis paper discuses process to get all information about parameter camera, the process only used information from two views of camera about image coordinate. The image coordinate from two views of camera is correspondence with fundamental matrix. For this selfcalibration using fundamental matrix.The fi of fundamental matrix can get the correspondence image coordinate at one view of camera with the epipolar line at another view of camera. All epipolar line intersection at a point called epipole. The methode from this research can be used for process for reconstriction object 3D. Keywords: selfcalibration, fundamental matriks,epipolar line, epipole point
Market Basket Analysis to Identify Customer Behaviorsby Way of Transaction Data Kurniawan, Fachrul; Umayah, Binti; Hammad, Jihad; Nugroho, Supeno Mardi Susiki; Hariadi, Mochammad
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

Transaction data is a set of recording data result in connections with sales-purchase activities at a particular company. In these recent years, transaction data have been prevalently used as research objects in means of discovering new information. One of the possible attempts is to design an application that can be used to analyze the existing transaction data. That application has the quality of market basket analysis. In addition, the application is designed to be desktop-based whose components are able to process as well as re-log the existing transaction data. The used method in designing this application is by way of following the existing steps on data mining technique.The trial result showed that the development and the implementation of market basket analysis application through association rule method using apriori algorithm could work well. With the means of confidence value of 46.69% and support value of 1.78%, and the amount of the generated rule was 30 rules.
Co-Authors Binti Umayah, Binti Eza Rahmanita Fachrul Kurniawan Jihad Hammad, Jihad Mulyanto, Eko Supeno Mardi Susiki Nugroho, Supeno Mardi