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All Journal Jurnal Sains dan Teknologi Jurnal Komputer Terapan Proceeding Applied Business and Engineering Conference Jurnal Kecerdasan Buatan dan Teknologi Informasi
Syefrida Yulina
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Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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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
Rancang Bangun Sistem Informasi Inventory pada "Happy Mart" Menggunakan Metode EOQ Hestiara Sinta; Syefrida Yulina
ABEC Indonesia Vol. 11 (2023): 11th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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Abstract

An inventory information system is a system that functions to find out the inventory of goods in warehouses that are used or developed with various technologies. The Happy Mart store does not yet have an inventory information system, where currently the management of inventory in the warehouse is still done manually, and the recording of inventory is still stored in the general ledger. Therefore, the Happy Mart store requires an inventory management system in the warehouse so that inventory management and recording at the Happy Mart store can run efficiently. This system is built based on a website and applies the Economic Order Quantity (EOQ) calculation method to determine the optimal number of goods ordered. This research has conducted black box testing with the results of the system in accordance with the specifications and requirements, user acceptance testing with the results of this system can help the store manage goods and be able to manage relevant reports and data for future business decision making, and usability testing with an overall result of 94%, which means that this system is easy to understand and easy to understand by users so that users feel satisfied with the system being built. Keywords: black box testing, Economic Order Quantity (EOQ), inventory information system, User Acceptance Test (UAT), Usability Testing.
DETEKSI WAJAH MENGGUNAKAN HAAR CASCADE DAN FEATURE DESCRIPTOR HOG MELALUI KAMERA IP CCTV DIRUANG KELAS Syefrida Yulina; Nengsih, Warnia
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 3 No. 2 (2024): May 2024
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v3i2.125

Abstract

Closed Circuit Television (CCTV) secara umum untuk tujuan keamanan mendapatkan informasi dalam jangka waktu tertentu. Identifikasi wajah manusia adalah salah satu fokus utama untuk teknologi ini. Pada penelitian ini, metode deteksi wajah manusia diterapkan pada ruang kelas belajar siswa dengan nilai akurasi. Metode ini nantinya dapat digunakan secara luas di era teknologi karena identifikasi biometrik adalah salah satu metode verifikasi terbaik. Dalam metode yang diusulkan, menyebarkan bagian-bagian fitur wajah yang berbeda seperti: hidung, mata dan mulut dapat dilakukan secara efektif dan cepat, tanpa memperhatikan cahaya atau iluminasi di latar belakang orang tersebut agar dapat digunakan di dalam ruangan kelas.
Co-Authors Abdul Hanan Abdullah Dahliyusmanto, Dahliyusmanto Hestiara Sinta Warnia Nengsih