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Yeni Kustiyahningsih
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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
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Search results for , issue "Vol 7 No 4 (2014)" : 5 Documents clear
IMPACT OF PROPAGATION PARAMETERS ON ENERGY EFFICIENCY IN VIRTUAL MIMO-BASED WIRELESS SENSOR NETWORK Eni Dwi Wardihani; Wirawan Wirawan; Gamantyo Hendrantoro
Jurnal Ilmiah Kursor Vol 7 No 4 (2014)
Publisher : Universitas Trunojoyo Madura

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IMPACT OF PROPAGATION PARAMETERS ON ENERGY EFFICIENCY IN VIRTUAL MIMO-BASED WIRELESS SENSOR NETWORK a,bEni Dwi Wardihani, aWirawan, aGamantyo Hendrantoro aDept. of Electrical Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, 60111 b Dept. of Electrical Engineering, Politeknik Negeri Semarang, Semarang, E-mail : edwardihani@gmail.com Abstract Propagation parameters, i.e. transmission distance, constellation size and channel path loss exponent, dictate the design of energy efficient transmision techniques for WSN. In this paper, by considering these parameters we investigate to obtain the best modulation scheme and transmission strategy that minimizes the total energy consumption of the network, comprised of transmission energy and circuit energy. Analysis of virtual MIMO systems, where the sensor with a single antenna are cooperating to send the data to the Fusion Center (FC) having multiple antenna, for WSN with Alamouti-diversity scheme-based is presented, which has better spectrum efficiency but larger circuit energy consumption than Single Input Single Output (SISO) systems. Our study shows that in certain transmission distance with appropriate selection of constellation size, virtual MIMO systems for WSN have better energy efficient than SISO and Multi Input Single Output (MISO). . Key words: propagation, energy, efficiency, MIMO, sensor networks.
DESIGN AND DEVELOPMENT OF COMPONENT LIBRARY GENETIC ALGORITHM BY USING OBJECT-ORIENTED DESIGN AND PROGRAMMING Hadi Suyono; Adharul Muttaqin; Eka Prakarsa Mandyartha
Jurnal Ilmiah Kursor Vol 7 No 4 (2014)
Publisher : Universitas Trunojoyo Madura

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DESIGN AND DEVELOPMENT OF COMPONENT LIBRARY GENETIC ALGORITHM BY USING OBJECT-ORIENTED DESIGN AND PROGRAMMING aHadi Suyono, bAdharul Muttaqin, and cEka Prakarsa Mandyartha a,b,cDepartment of Electrical Engineering, Faculty of Engineering, University of Brawijaya E-Mail: hadis@ub.ac.id Abstrak Makalah ini menyajikan desain dan pembuatan komponen library Algoritma Genetik dengan menggunakan pendekatan object-oriented designand programming (OODP) dan Component-based Develepment (CBD). KomponenAlgoritma Genetika (AG) merupakan komponen software enginedibuat sendiri yang digunakan untuk membantu menyelesaikan persoalan optimisasi dengan menggunakan struktur Algoritma Genetika yang disebut dengan Library Algoritma Genetika (LibAGen). Metodologi OODP dan CBD meliputi analisis kebutuhan, diagram use-case, diagram kelas dan diagram sekuensial. Library Algoritma Genetika (LibAGen) ini terdiri dari 22 kelas yang dikelompokkan dalam namespace berdasarkan struktur desain AG yang diperlukan meliputi representasi populasi, fungsi evaluasi, operator genetika (crossover dan mutasi) dan seleksi. Untuk mengukur performansi dari engine LibAGen validasi telah dilakukan dengan menggunakan persamaan fungsi sinusoidal dua parameter. Waktu eksekusi dan nilai optimum parameter dengan beberapa pengujian dengan variasi jumlah generasi (iterasi) juga dilakukan pada makalah ini. Parameter AG yang digunakan adalah probabilitas crossover 25% dan probabilitas mutasi 1%. Hasil uji validasi menunjukkan bahwa nilai fitness terbaik adalah 388,501 dengan nilai parameter x1 = 11,6256 dan x2 = 5,7249. Terdapat perbedaan tidak signifikan antara nilai fitness terbaik dibandingkan dengan hasil Michalewicz (1999) yaitu sebesar 0,08%. Kata kunci:Algoritma Genetika, component library, object-oriented design and programming (OODP) Abstract This paper presents the design and development of Genetic Algorithm (GA) library components by using object-oriented design and programming (OODP) and Componentbased development(CBD). Genetic Algorithm component is an engine software component which is developed by own development for solving the optimization problem by using a structure of Genetic Algorithm (GA) called as Genetic Algorithm Library (LibAGen). OODP and CBD methodologies include requirement analysis, use-case diagrams, and class diagrams. Genetic Algorithm Library (LibAGen) consists of 22 classes which is grouped into namespaces based on GA design structure that include population representation, evaluation function, genetic operators (crossover and mutation) and selection. To measure the performance of the LibAGen engine, a validation has been carried outby using a sinusoidal function with two-parameters. Optimal parameter with some testing through variations of the number generations (iterations) have been performed in this paper. The GA parameters selected are crossover probability of 25% and mutation probability of 5%. Validation test results indicate that the best fitness and parameters are 388,501, x1 = 11,6256 and x2 = 5,7249. There is no significant result in term of the best fitness compared with Michalewicz (1999) i.e. 0.08% Key words:Genetic Algorithm, component library, object-oriented design and programming (OODP)
DESIGNING AN ENVIRONMENTAL INFORMATION MANAGEMENT SYSTEM (EIMS): THE CASE OF WEB MAPPING PORTAL FOR FARMERS Wahyudi Agustiono
Jurnal Ilmiah Kursor Vol 7 No 4 (2014)
Publisher : Universitas Trunojoyo Madura

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Today concerns for environmental sustainability practices are getting lots of attention due to the regulatory requirements, market pressure and natural resources deterioration. While many businesses have responded these demands by incorporating sustainable thinking into their strategies, in the same vein, researchers have attempted to provide different ground in understanding environmental sustainability best practices. IS researchers is no exception due to the growing recognition that the ICT and IS as being part of the solution to the environmental sustainability problem. This study, therefore, addresses this call by presenting the results of longitudinal and indepth investigation of an IS design for supporting environmental information management and referred as Environmental Information Management System (EIMS). To better understand how a new EIMS can be designed, it then considers the design of a new Web Mapping Portal to assist farmers in land management and monitoring as a fruitful empirical context of investigation. Overall, the findings of this study show the value of IS scholars going beyond the dominant research on IS designed for supporting business (e.g. ERP, SCM and ERP) into more emerging research stream by addressing research question on how can IS be designed to address the complex problem in environmental sustainability.
RESTRICTED CONTENT CLASSIFICATION BASED ON VIDEA METADATA AND COMMENTS (CASE STUDY : YOUTUBE.COM) Stefanus Thobi Sinaga; Masayu Leylia Khodra
Jurnal Ilmiah Kursor Vol 7 No 4 (2014)
Publisher : Universitas Trunojoyo Madura

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RESTRICTED CONTENT CLASSIFICATION BASED ON VIDEA METADATA AND COMMENTS (CASE STUDY : YOUTUBE.COM) aStefanus Thobi Sinaga, aMasayu Leylia Khodra a,bSekolah Teknik Elektro dan Informatika, Institut Teknologi Bandung, Jl. Ganesha 10 Bandung E-Mail: s.thobi.sinaga@gmail.com Abstrak Klasifikasi konten terbatas merupakan kegiatan memisahkan konten video yang layak untuk seluruh pengguna dari konten yang tidak layak untuk pengguna di bawah umur (<18 tahun). Pada situs Youtube, proses klasifikasi konten terbatas dilakukan secara manual oleh karyawan berdasarkan laporan yang dikirimkan oleh komunitas pengguna. Pada penelitian ini dirancang sebuah sistem klasifikasi konten terbatas secara otomatis yang dapat melakukan klasifikasi terhadap video Youtube berdasarkan teks metadata (judul, deskripsi) dan komentar dari video tersebut. Sistem tersebut memanfaatkan model klasifikasi hasil eksperimen terhadap dataset video Youtube yang telah dikumpulkan. Judul dan deskripsi video dipilih sebagai atribut klasifikasi karena mengandung informasi utama yang ditulis oleh penggunggah terkait video yang diunggah. Sedangkan komentar dipilih sebagai atribut klasifikasi karena dapat dijadikan sumber informasi ketika informasi yang disediakan oleh pengunggah tidak dapat mereprentasikan video yang digunakan. Melalui eksperimen, didapatkan model klasifikasi dengan F-Measure sebesar 83,45%. Model dibangun dengan menggunakan pendekatan leksikal terhadap dataset judul dan deskripsi video (tanpa komentar), Support Vector Machines sebagai algoritma klasifikasi, serta metode binary sebagai metode pembobotan fitur. Dengan menggunakan model tersebut, telah dikembangkan sistem klasifikasi konten terbatas berdasarkan teks metadata dan komentar video. Kata kunci: Klasifikasi, Konten Terbatas, Support Vector Machines. Abstract Restricted content classification is an activity of labeling video content into two category, which are restricted content that is appropriate for all audiences and non-restricted content that are not appropriate for minor audiences (age < 18). On Youtube, restricted content classification is being processed manually by the expert staffs based on user reports. This research aims to build automatic restricted content classification system which is able to classify Youtube video based on its metadata (title, description) and video comments. This system would use the best model achieved from the experiment on Youtube video dataset. Video title and description are chosen as the classification attribute since they contain the main information about the video provided by the uploader. Meanwhile, video comments are chosen as the other classification attribute under the assumption that they would provide the information necessary when video title and description are not able to give any information related to the video. Our experiment shows that the best classification model with F-Measure of 83.45% is achieved by using lexical feature on dataset built from video title and description (without comments). We employed Support Vector Machines as the classification algorithm and binary as the feature weighting method. In this paper, a restricted content classification system based on metadata and video comments has been built. Keywords:Classification,Restricted Content, Support Vector Machines.
IMPRESSION DETERMINATION OF BATIK IMAGE CLOTH BY MULTILABEL ENSEMBLE CLASSIFICATION USING COLOR DIFFERENCE HISTOGRAM FEATURE EXTRACTION Hani Ramadhan; Isye Arieshanti; Anny Yuniarti; Nanik Suciati
Jurnal Ilmiah Kursor Vol 7 No 4 (2014)
Publisher : Universitas Trunojoyo Madura

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IMPRESSION DETERMINATION OF BATIK IMAGE CLOTH BY MULTILABEL ENSEMBLE CLASSIFICATION USING COLOR DIFFERENCE HISTOGRAM FEATURE EXTRACTION aHani Ramadhan, b Isye Arieshanti, cAnny Yuniarti, d Nanik Suciati a,b,c,d Informatics Engineering, Faculty of Information Technology, Institut Teknologi Sepuluh Nopember (ITS) E-Mail: hani.its.042@gmail.com Abstrak Hampir setiap orang akan memperhatikan impresi busana yang dipakai, termasuk busana dengan motif batik. Namun, perpaduan berbagai motif dan warna batik memberikan impresi yang beragam. Sehingga, penentuan impresi dari satu kain batik menjadi sulit. Untuk membantu seseorang dalam menentukan impresi dari busana batik yang dipilih, dibutuhkan sistem yang mampu mengklasifikasikan impresi citra kain batik secara otomatis. Akan tetapi, pembuatan sistem klasifikasi label jamak merupakan memiliki tantangan tersendiri. Penelitian sebelumnya membuktikan bahwa metode klasifikasi ansambel label jamak dengan pencarian threshold mampu menjawab tantangan tersebut dengan kehandalannya dalam menangani himpunan data label jamak. Studi ini bertujuan untuk mengembangkan sistem yang menerapkan metode klasifikasi ansambel label jamak untuk menentukan impresi citra kain batik. Sistem ini memanfaatkan fitur tekstur dan warna yang dihasilkan dari Histogram Perbedaan Warna. Hasil uji coba metode ini memberikan performa yang baik dalam evaluasi label jamak. Nilai evaluasi tersebut antara lain Hamming Loss sebesar 0,173 dan Average Precision 0,866. Kata kunci: Histogram Perbedaan Warna, Impresi Citra Kain Batik, Klasifikasi Label Jamak Abstract Many people will consider the fashion products’ impression that will be worn, including the one with batik motif. Unfortunately, diverse impressions could be produced from combinations of the motif and color from a single batik cloth. Therefore, impression determination becomes a difficult case. To overcome this difficulty, an automatic batik cloth multi-impression classification system should be necessary to aid in choosing certain batik cloth. Nevertheless, this system implementation has its own intriguing challenge. Previous researches implied that multilabel ensemble classification method could deal with the problem against the highly imbalanced dataset. Thus, the aim of this study is to develop the multilabel classification system, which features come from the color and texture feature by Color Difference Histogram. From the test, this method demonstrated good performance by several multilabel evaluations, which are 0.173 by Hamming Loss and 0.866 by Average Precision. Keywords: Color Difference Histogram, Batik Cloth Image Impression, Multi-Label Classification.

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