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Yeni Kustiyahningsih
Contact Email
ykustiyahningsih@trunojoyo.ac.id
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+6282139239387
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kursor@trunojoyo.ac.id
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Informatics Department, Engineering Faculty University of Trunojoyo Madura Jl. Raya Telang - Kamal, Bangkalan 69162, Indonesia Tel: 031-3012391, Fax: 031-3012391
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INDONESIA
Jurnal Ilmiah Kursor
Published by Universitas Trunojoyo Madura
ISSN : 02160544     EISSN : 23016914     DOI : https://doi.org/10.21107/kursor
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal Ilmiah Kursor is published in January 2005 and has been accreditated by the Directorate General of Higher Education in 2010, 2014, 2019, and until now. Jurnal Ilmiah Kursor seeks to publish original scholarly articles related (but are not limited) to: Computer Science. Computational Intelligence. Information Science. Knowledge Management. Software Engineering. Publisher: Informatics Department, Engineering Faculty, University of Trunojoyo Madura
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 9 No 3 (2018)" : 5 Documents clear
IDENTIFICATION OF DIGITAL EVIDENCE FACEBOOK MESSENGER ON MOBILE PHONE WITH NATIONAL INSTITUTE OF STANDARDS TECHNOLOGY (NIST) METHOD Anton Yudhana; Imam Riadi; Ikhwan Anshori
Jurnal Ilmiah Kursor Vol 9 No 3 (2018)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i3.152

Abstract

Facebook Messenger is a popular social media. The increasing number of Facebook Messenger users certainly has a positive and negative impact, one of the negative effects is being used for digital crime. One of the sciences to get digital evidence is to do Digital forensics. Digital forensics can be done on a smartphone used by criminals. This research will carry out as much evidence of digital crime as possible from Facebook Messenger. In this study the forensic devices, Magnet AXIOM and Oxygen Forensics Suite 2014 were used using the National Institute of Standards Technology (NIST) method. NIST has work guidelines for both policies and standards to ensure that each examiner follows the same workflow so that their work is documented and the results can be repeated and maintained. The results of the research in the Magnet AXIOM and Oxygen Forensics Suite 2014 get digital evidence in the form of accounts, conversation texts, and images. This study successfully demonstrated the results of an analysis of forensic devices and digital evidence on Facebook Messenger. The results of the performance evaluation of forensic tools in the acquisition process using AXIOM Magnets are considered the best compared to Oxygen Forensics Suite 2014.
AN IMPROVED SIMULATED ANNEALING FOR THE CAPACITATED VEHICLE ROUTING PROBLEM (CVRP) Farhanna Mari; Wayan Firdaus Mahmudy; Purnomo Budi Santoso
Jurnal Ilmiah Kursor Vol 9 No 3 (2018)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i3.178

Abstract

In the industrial sector, in order to increase the company's competitive profit and ratio, must be able to suppress as much expenditure as possible. Product distribution is one of the logistics processes in the industry which consumes the most costs. Products must be distributed to customers in different locations and also with varying requests. The problem belongs to Capacitated Vehicle Routing Problem (CVRP) that is considered as one of the complex combinatorial optimization problems included in the NP-Hard Problem category, which is a problem that requires difficult computation and a lot of time along with the increasing size of the problem data. So, in this study improvisation will be carried out in the form of modifying the simulated annealing method to solve the combinatorial problem so that the optimal distance in the case of distribution will be obtained. In addition, in this study a comparison will be made between basic simulated annealing and also improved simulated annealing. Based on the results of the research it is proven that Improved Simulated Annealing can provide a better solution.
HYBRID INTRUSION DETECTION SYSTEM USING FUZZY LOGIC INFERENCE ENGINE FOR SQL INJECTION ATTACK Rajif Agung Yunmar
Jurnal Ilmiah Kursor Vol 9 No 3 (2018)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i3.147

Abstract

SQL injection attacks toward web application increasingly prevalent. Testing to the web that will published is the one of preventive measures. However, this method sometimes ineffective because constrained by various things. Instrusion detection system (IDS) is able to help protect the website from various attacks. This study proposed an IDS for web applications from SQL injection-based attacks. The IDS is based on hybrid architecture with a signature-based detection method, type of data to analyzed is network packet and error log. The fuzzy logic inference engine used to be drawn the conclusion based on analyzed data. Proposed hybrid IDS has good result on detecting the various type of SQL injection attack and significantly reduce or even remove the false positive and false negative.
THE OVERTAKING CAR SIMULATION USING THE TECHNOLOGY OF VIRTUAL REALITY Darlis Heru Mukti; Ridho Rahman Hariadi; Anny Yuniarti; Imam Kuswardayan; Wijayanti Nurul Khotimah
Jurnal Ilmiah Kursor Vol 9 No 3 (2018)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i3.116

Abstract

Currently, motor vehicles are very widely used in everyday life. In Indonesia the growth of motor vehicle is very rapid, even reaching 10 percent per year. With the high value of the development of this motor vehicle, the number of accidents also increases. The cause of the accident is not only from the error engine but also it can be caused by the driver fault. The driver should be given more attention and information about the rule and how to ride the motor vehicles well. Sometimes the experience is needed to learn how to act in the different condition when the driver drives the motor vehicle. This paper implements the technology of Virtual Reality for the simulation of overtaking. There are two additional devices used in this research. There are the Steering Wheel and the Oculus Rift. This research aims to explore the VR technology and explore the implementation of the Steering Wheel and the Oculus Rift in overtaking simulation game.
IDENTIFICATION OF DISEASE ON LEAVES SOYBEAN USING MODIFIED OTSU AND LEARNING VECTOR QUANTIZATION NEURAL NETWORKS Candra Dewi; Muhammad Sa’idul Umam; Imam Cholissodin
Jurnal Ilmiah Kursor Vol 9 No 3 (2018)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i3.158

Abstract

Disease of the soybean crop is one of the obstacles to increase soybean production in Indonesia. Some of these diseases usually are found in the leaves and resulted to the crop become unhealthy. This study aims to identify disease on soybean leaf through leaves image by applying the Learning Vector Quantization (LVQ) algorithm. The identification begins with preprocessing using modified Otsu method to get part of the diseases on the leaves with a certain threshold value. The next process is to identify the type of disease using LVQ. This process uses the minimum value, the maximum value and the average value of the red, green and blue color of the image. The testing conducted in this study is to identify two diseases called Peronospora manshurica (Downy Mildew) and phakopsora pachyrhizi (Karat). The result of testing by using 60 training data and the value of all recommendations parameters obtained the highest accuracy of identification is 95% %, but the more stable accuracy is 90%. This result shows that the method perform quite well identification of two mentioned disease.

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