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Yeni Kustiyahningsih
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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 2 (2017)" : 5 Documents clear
THE IMAGE RETRIEVAL OBJECT GANESHA IMAGE USING INVARIANT MOMENT METHOD Hendro Nugroho; Eka Prakarsa Mandyartha
Jurnal Ilmiah Kursor Vol 9 No 2 (2017)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i2.98

Abstract

In the findings of the statue of Ganesha in Trowulan Mojokerto area is no longer intact, because the statue of Ganesha is found to have been on the surface of soil or underground, so the archaeologist is very difficult to categorize the findings. This research proposes to overcome the above problems it is necessary to the Image Retrieval system (image retrieval) that can provide information about the results of the discovery of such historic objects. For the image taken as Image Retrieval as an example of research trials is the Ganesha Arca. From the Ganesha Statue is searched for feature extraction value by using Moment Invariant method, after which to get the result of image retrieval using Manhattan method. Image Retrieval information system work is image of Ganesa Arca in pre-processing with size 200x260 pixel BMP, then image in edge detection using Roberts method and extraction of Moment Invariant feature and inserted into database as data traning. For data testing the same process with data traning so searched the closest distance using Manhattan method. From the results of 15 image testing statues Ganesha level to the accuracy of the true states there is 62% and stated wrong 38%. Research can be further developed using various methods to improve image retrieval accuracy
BASIS PATH TESTING OF ITERATIVE DEEPENING SEARCH AND HELD-KARP ON PATHFINDING ALGORITHM I Gede Surya Rahayuda; Ni Putu Linda Santiari
Jurnal Ilmiah Kursor Vol 9 No 2 (2017)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i2.129

Abstract

This research is a continuation of previous research, where in previous research discussed about the implementation of both methods. Implementation is done using visual basic programming language. Both methods are compared based on the results obtained. While in the current study, research is more focused on the analysis of the program flow that has been made. Evaluation is done by using basis path method, there are several processes performed on the method, such as: flowgraph, independent path, cyclomatic complexity and graph matrix. In addition to the evaluation of program flow, evaluation is also done based on program performance. Performance tests are based, time, cpu and memory. Based on the evaluation using the base path, obtained flowgraph structure and independent path different, but obtained the result of CC and Graph Matrix calculation of the same between IDS and HK method is 4. Based on evaluation in terms of performance, process the program from entering data and until getting the result, the HK method takes a longer time than the IDS method. The IDS method takes 2.7 seconds while the HK method takes 2.8 seconds.
MATURITY LEVEL OF INFORMATION TECHNOLOGY USING COBIT FRAMEWORK 4.1 (CASE STUDY: CLOUD COMPUTING SERVICE PROVIDER) Mohammad Idhom; Ronggo Alit; Akhmad Fauzi
Jurnal Ilmiah Kursor Vol 9 No 2 (2017)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i2.146

Abstract

This research is focused on the analysis of cloud computing service provision by both division IT Project and IT Support Division at PT. Eikon Technology in Surabaya to improve business process in this company, by examining the extent of cloud services provided by the company to customers through the two divisions by applying information technology. The total detailed control objective used was 38 detail controls performed by the IT Project division and 40 control details performed by the IT Support division. The result of this research is analysis of current and expected maturity level from sub domain PO4, PO7, DS1, DS5, and DS7, got the average total maturity level is 2.7 and the expected maturity level is 3.76. Recommendations and conclusions are expected to develop the process of information technology governance in the form of providing cloud computing services to better and efficient in supporting the business in PT Eikon Technology, Surabaya
PREPROCESSING WITH SYMMETRICAL FACE AND GAMMA CORRECTION FOR FACE RECOGNITION UNDER VARYING ILLUMINATION WITH ROBUST REGRESSION CLASSIFICATION Eva Y Puspaningrum; Budi Nugroho; Andri Istifariyanto
Jurnal Ilmiah Kursor Vol 9 No 2 (2017)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i2.142

Abstract

Facial recognition is one of the most popular issues in the field of pattern recognition.Face recognition with uncontrolled lighting conditions is more significant than thephysical characteristics of individual faces. Uncontrolled lighting from the right and leftcan affect the face image. A lot of research on facial recognition, but little attention givento the face image is symmetrical object. Several studies to explore and exploit thesymmetrical properties of the face for face recognition were performed. In this paper, wepropose a pre-processing method to solve one of the common problems in facial imageswith varying illumination. We utilize the symmetric property of the face then performedgamma correction then classified using Robust Regression. The results of this experimentgot an average accuracy of 94.31% and the proposed technique improves recognitionaccuracy especially in images with extreme lighting conditions using gamma correctionparameters γ = 0.3.
THE ALGORITHM OF GIVING AUTOMATIC HARAKAT ON ARABIC SCRIPT Dini Hidayatul Qudsi; Maksum Ro’is Adin Saf
Jurnal Ilmiah Kursor Vol 9 No 2 (2017)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i2.145

Abstract

The majority of Arabic reference books in Arabic writing without a vowel/harakat causestudents to have difficulty in learning Arabic. Reading Arabic Script without harakatrequires an understanding of the science of Nahwu-Sharf (Arabic Grammar) to be able tounderstand its contents. Therefore, in this study the basic rules of Nahwu-Sharf Sciencehave been translated into an algorithm that can be used to provide an automatic harakaton Arabic script (without harakat). Based on the interview results with the expert, sixexamples of sentences that represented the types(conditions) of basic sentences in theArabic language have been used as scenarios to examine the generated algorithm. Theallowed sentence is limited to one sentence only and cannot be in the form of poetry orsatire. Additionally, Cyclomatic Complexity Testing is used to examine scenarios in a testcase. All the steps of the Cyclomatic Complexity have been performed, which are creatingthe flowgraph, calculating the independent path, and testing scenario. The scenarios wereexamined in a test case through 13-path test case examination and result match withexpected output. In addition, 24 examples which represented the six conditions have beenutilized to examine for more detailed analysis and also results accuracy 100% inaccordance with the basic rules of Nahwu-Sharf science.

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