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Journal : Jurnal technoscientia

Studi Eksperimen Unjuk-Kerja Modulasi DBPSK pada Platform Software-Defined Radio (SDR) Marpanaji, Eko; Trilaksono, Bambang Riyanto; Langi, Armein ZR; Kurniawan, Adit
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscentia Vol 1 No 1 Agustus 2008
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (159.557 KB) | DOI: 10.34151/technoscientia.v1i1.373

Abstract

This paper addresses Differential Binary Phase Shift Keying (DBPSK) modulation implemented on SDR platform for the development of digital data communications based on SDR. DBPSK modulation performance perceived at Packet Error Rate (PER) is evaluated in terms of Eb/No or S/N ratio, carrier frequency, bit rate, gain, roll-off factor of root Nyquist filter or root raised cosine filter, and of size of payload from delivered data. Based on this results, the smallest PER could be obtained by setting Eb/No value which is greater than 13 dB, carrier frequency of at least 0,3 MHz, optimum bit rate of 256 kbps, optimum range payload size of 2000 up to 4000 bytes, and roll-off factor of Nyquist or root-raised cosine filter of 0.1<alfa<0.9.
ANT-WUM: ALGORITMA BERBASIS ANT COLONY OPTIMIZATION UNTUK WEB USAGE MINING Abdurrahman -; Bambang Riyanto Trilaksono; Rila Mandala; Rajesri Govindaraju
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 2 No 1 Agustus 2009
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.665 KB) | DOI: 10.34151/technoscientia.v2i1.67

Abstract

This paper is continuity research from our previous work in Ant-Miner implementation for web user classification. In our previous work, we implemented Ant-Miner algorithm for web user classification same with Ant-Miner for classification task in data mining domain. In this paper, we propose modification of heuristic function of Ant-Miner based on web usage mining (WUM) problem, that we name Ant-WUM. The heuristic function ACO is based on local problem domain. Information theory is common heuristic function used in classification task, such as implemented in C4.5 algorithm and ant-miner algorithm. Ant-WUM uses heuristic function based on closeness principle that implemented in clustering problem in WUM. We propose to use data from web access log, profile user, and transaction data to provide some attributes as term candidate of classification rule by Ant-WUM algorithm. We compared Ant-WUM algorithm with Ant-Miner algorithm. The result indicates that Ant-WUM has competitive result in term of accuracy rate, amount of rules, and computation time.