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All Journal Jurnal Teknik Industri
Saiful Bukhori
4Fakultas Teknologi Industri, Jurusan Teknik Elektro, Institut Teknologi Sepuluh Nopember Surabaya
Industrial & Manufacturing Engineering

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Pengembangan Graph Mining untuk Prediksi Jaringan Kerja Sistem Pembayaran dalam Real Time Gross Settlement Berbasis Clearing House Saiful Bukhori; Mochamad Hariadi; I Ketut Eddy Purnama; Mauridhi Heri Purnomo
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 12 No. 1 (2010): JUNE 2010
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (175.978 KB) | DOI: 10.9744/jti.12.1.33-40

Abstract

This research develops the settlement mechanism in the Real Time Gross Settlement using so called clearing house through a serious game method. In this approach banks are represented as nodes that do the settlement process according to the simple rules. Moreover, the graph mining approach is used for predicting the activity networks on those banks. As the result, for constant nodes indicate that the more the activity networks among banks are available, the more the activity networks can be identified. Furthermore, the smaller the differences among the bank health’s level are, the greater the network activities can be identified. This behavior is a consequence of chosen fixed point assumption.
Co-Authors I Ketut Eddy Purnama Mauridhi Heri Purnomo Mochamad Hariadi