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All Journal JURNAL SISTEM INFORMASI BISNIS Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Electro Luceat AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Insect (Informatics and Security): Jurnal Teknik Informatika KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Patria Bahari Jurnal Informatika: Jurnal Pengembangan IT
Waliulu, Raditya Faisal
Politeknik Saint Paul Sorong
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Mechanical Engineering Social Sciences Transportation

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Deteksi dan Penggolongan Kendaraan dengan Kalman Filter dan Model Gaussian di Jalan Tol Waliulu, Raditya Faisal
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.907 KB) | DOI: 10.21456/vol8iss1pp1-8

Abstract

Monitoring systems are widely implemented in various sectors aimed at improving the security and productivity aspects. The research aims to detect moving objects in the form of video file tipefile (* .avi) 640x480 resolution and image class according to pixel area. Moving objects are given in the Region of Interest path for easy detection. Detection on moving objects using methods of Kalman filter and gaussian mixture model. There are two types of distribution, the distribution of Background and Foreground. The form of the Foreground distribution is filtered using Bit Large Object segmentation to obtain the dimensions of the vehicle and morphological operations. The feature extraction results from the vehicle are used for vehicle classification based on pixel dimension. Segmentation results are used by Kalman Filter to calculate the tracking of moving object positions. If the Bit Large Object segmentation is not found moving object, then it is continued on the next frame. The final results of system detection are calculated using Positive True validation, True Negative, False Positive, and False Negative by looking for the sensitivity and specificity of each morning, day and night conditions
Desain dan Implementasi Deteksi WebShell Malicious Web Shell (Backdoor Trap) Raditya Faisal Waliulu; Santrinita Trhessya Jumame
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 2 (2020): Volume 10 Nomor 2 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol10iss2pp188-194

Abstract

We present a report on hacker attacks against production servers on increased PHP vulnerabilities through SQL Injection attacks, XSS (Cross Site-Scripting), Cookie hijack, miss configuration, social engineering, CSRF (cross site request forgery), OTP bypass (take over account) and others. Hacker attacks leave a backdoor or webshell that will be accessed remotely (remote), this is common in blackhat hackers. Provides a shelltrap framework to use for and perform and clean the backdoor on the server. Because the back door has characteristics, namely: (1) taking over the physical server or localrooting; (2) adaptation to the run time environment; (3) using global variables to access the server. Have evaluated shelltrap on realworld server tame PHP Script and PHP backdoor. The experimental results get high level detection results of 98 %.
Co-Authors Agus Pramono Ardi Susanto ARIZAL HENDRIAWAN Delta Sari Lobo Ery Murniyasih Kahar, Muhammad Syahrul Luluk Suryani M Nishom M Yoka Fathoni Mandela, Wennie Marcelinus Petrus Saptono Santrinita Trhessya Jumame Saputro, Imam Trianggoro Sonny Rumalutur Sony Rumalutur Supardi Supardi Teguh Hidayat Iskandar Alam