Article Per Year (5 Year)
p-Index From 2019 - 2024
0
P-Index
This Author published in this journals
All Journal Jurnal Sains dan Teknologi Jurnal Komputer Terapan
Syefrida Yulina
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Engineering Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
A DEPTH PRE-PROCESSING DATA ANALYSIS FOR INTRUSION DETECTION SYSTEM USING OUTLIER DETECTION AND BOX-COX TRANSFORMATION TECHNIQUE Dahliyusmanto Dahliyusmanto; Abdul Hanan Abdullah; Syefrida Yulina
Jurnal Sains dan Teknologi Vol 13, No 1 (2014): Jurnal Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.959 KB) | DOI: 10.31258/jst.v13.n1.p%p

Abstract

An Intrusion Detection System (IDS) seeks to identify unauthorized access to computer systems’ resources and datausing a statistical approach. The scale on which a dataset variable is measured may not the most appropriate forstatistical analysis or describing variation, and may even hide the basic characteristics of the data. This paper proposed apre-processing analysis for detecting unusual observations that do not seem to belong to the pattern of variabilityproduced by the other observations. The pre-processing analysis consists of outliers detection and Transformation.Outliers are best detected visually whenever this is possible. Usually, the original data sets are not normally distributed.If normality is not a viable assumption, one alternative is to make non-normal data look normal. This paper explains thesteps for detecting outliers’ data and describes the Box-Cox power transformation method that transforms them tonormality. The transformation obtained by maximizing lamda functions usually improves the approximation tonormality.Keywords : IDS, dataset, outliers, transformation, pre-processing
Rancang Bangun RAPS dalam Mengukur Tingkat Partisipasi Belajar pada Teknik Pembelajaran Think-Pair-Share Syefrida Yulina
Jurnal Komputer Terapan  Vol. 2 No. 2 (2016): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (557.466 KB)

Abstract

RAPS adalah sebuah sistem yang dapat menilai tingkat partisipasi peserta didik dalam berkolaborasi dilingkungan forum diskusi online. Berbagai penelitian telah banyak dilakukan untuk membentuk peserta didik agar aktif dan kreatif dalam memberikan ide ataupun pengetahuan di online collaborative learning (OCL). Pada penelitian ini akan membahas tentang perancangan dan pembangunan RAPS serta dengan mengimplementasikan salah satu teknik pembelajaran kolaboratif Think-Pair-Share. Think-Pair-Share digunakan agar peserta didik aktif berinteraksi dengan grup  pasangannya dalam membahas suatu topik diskusi daripada secara individual dan mampu berbagi ide serta pengetahuan dengan sesama peserta didik lainnya. Hasil pada penelitian ini menunjukan bahwa RAPS dapat membantu pendidik mengukur tingkat partisipasi peserta didik terhadap suatu forum diskusi online
Co-Authors Abdul Hanan Abdullah Dahliyusmanto Dahliyusmanto