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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 6 Documents
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Search results for , issue "Vol 7 No 1 (2013)" : 6 Documents clear
SHARED SECRET-BASED KEY AND FINGERPRINT BINDING SCHEME Tohari Ahmad
Jurnal Ilmiah Kursor Vol 7 No 1 (2013)
Publisher : Universitas Trunojoyo Madura

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Abstract

SHARED SECRET-BASED KEY AND FINGERPRINT BINDING SCHEME Tohari Ahmad Department of Informatics, Sepuluh Nopember Institute of Technology Gedung Teknik Informatika Lt. 2, Kampus ITS Sukolilo Jln Raya ITS, Sukolilo, Surabaya, 60111 E-Mail:a tohari@if.its.ac.id Abstrak Salah satu permasalahan utama di dalam melakukan otentikasi pengguna dalam suatu sistem adalah keseimbangan antara akurasi dan kenyamanan. Akurasi berhubungan dengan kemampuan sistem untuk mengenali pengguna yang benar-benar diijinkan atau tidak diijinkan; sedangkan kenyamanan berhubungan dengan penerimaan pengguna terhadap keberadaan sistem. Kedua faktor tersebut merupakan faktor yang penting karena keduanya menentukan apakah sistem otentikasi tersebut dapat diaplikasikan atau tidak. Hal ini berdasarkan asumsi bahwa metode otentikasi yang sangat akurat tetapi sulit dilakukan, akan kurang dapat diterima oleh pengguna. Pada makalah ini, kami mengkombinasikan kemudahan penggunaan sidik jari dan akurasi kunci/kata sandi, sehingga pengguna dapat memanfaatkan kunci/kata sandi yang kuat tanpa harus menghafalnya, dengan menggunakan skema shared secret. Di dalam metode yang diusulkan ini, suatu kunci yang panjang dan random disebarkan ke titiktitik minutiae pada sidik jari, dan selanjutnya dibagi kepada masing-masing deskriptor, yang dalam hal ini dinyatakan dalam suatu vektor. Kunci tersebut hanya bisa direkonstruksi jika terdapat sejumlah deskriptor dan titik minutiae yang saling tumpang tindih. Percobaan yang dilakukan dengan menggunakan basis data publik (FVC2002DB2a) menunjukkan bahwa pendekatan yang diusulkan mempunyai performa yang bagus. Kata kunci: Sidik Jari, Keamanan Data, Otentikasi, Biometrik, Kerahasiaan Data. Abstract One of critical issues in authenticating users to a system is thebalance between accuracy and convenience. The former relates to thecapability of the system to recognize authorized or unauthorizedusers; while the later relates to the user acceptance to the system.Both are important factors since they determine whether such authentication system is applicable or not. This is based on the assumption that an accurate but hard to use authentication method hasless user acceptance. In this research, we combine the convenience of the fingerprint and the accuracy of the password such that the users have a strong password without having to memorize it, by using theshared secret scheme. In this proposed scheme, a long and random password is shared among the fingerprint minutiae and further, shared among its descriptors (in this case, they are represented by vectors). The password can only be reconstructed if there is a substantial number of overlapping descriptors and minutiae points. The experiment which is conducted on the public database, FVC2002DB2a, shows that the proposed approach has a good performance. Key words: fingerprint, data security, authentication, biometrics, data confidentiality
NEAR-DUPLICATE REAL-LIFE FACE IMAGE Intan Yuniar Purbasari; Budi Nugroho
Jurnal Ilmiah Kursor Vol 7 No 1 (2013)
Publisher : Universitas Trunojoyo Madura

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NEAR-DUPLICATE REAL-LIFE FACE IMAGE a Intan Yuniar Purbasari, bBudi Nugroho a,bTeknik Informatika, Fakultas Teknologi Industri, UPN “Veteran” Jawa Timur, Indonesia Jl. Raya Rungkut Madya, Gunung Anyar, Surabaya 60294 E-Mail: intan.yuniar@gmail.com Abstrak Content-based Image Retrieval (CBIR) merupakan metode temu kembali citra berdasarkan karakteristik numerik pada citra. Pencarian similaritas yang efisien pada ruang dimensi ultra-high telah diajukan menggunakan two-tier inverted file dan Local Derivative Patterns (LDP) sebagai metode ekstraksi fitur dengan tingkat keakuratan dan kinerja yang tinggi pada data set citra wajah eksperimental. Namun demikian, citra real-life memiliki ukuran dan resolusi yang berbeda serta noise bawaan. Masih belum diketahui apakah LDP dapat menunjukkan hasil yang sama memuaskan jika diberikan data set citra real-life. Penelitian ini merancang dan membangun search engine citra wajah untuk mencari citra nyaris duplikat pada citra real-life menggunakan metode LDP untuk ekstraksi fitur dan two-tier inverted file untuk pengindeks-an multidimensi. Sebuah metode ekpansi state juga diperkenalkan untuk lebih menangkap banyak detil dari histogram citra dengan mempertimbangkan informasi piksel tetangga. Eksperimen ini dilakukan pada 8083 citra wajah real-life dari berbagai ukuran antara 20x20 dan 80x80. Data set berisi kopi duplikat dari citra wajah setelah melalui beberapa proses transformasi. Hasil pencarian mengembalikan 20 citra yang memiliki kemiripan paling tinggi dengan citra query dan memiliki nilai presisi 0.75 atau 75%. Kata kunci: Content-Based Image Retrieval, Local Derivative Pattern, Two-tier Inverted File, Real-life Face Image. Abstract Content-based image retrieval (CBIR) is an image retrieval method based on the analysis of numerical characteristics of the image at the absence of text information. An efficient similarity search in ultra-high dimensional space has been proposed using two-tier inverted file and Local Derivative Patterns (LDP) as feature extraction method with high accuracy and high performance on experimental face image data sets. However, real-life images have different size, resolution and a potential noise. It is unknown whether LDP would show the same satisfactory result given real-life image data sets. This research designed and developed a face search engine to find near-duplicate face in real life images using LDP method to extract image features and two-tier inverted file for multidimensional indexing process. A state expansion method was also introduced to capture more detailed description of image histogram by considering neighbor information. The experiment was performed on 8,083 reallife face images of various sizes between 20x20 to 80x80. The data set contained duplicate copies of face images with some transformation processes. The search result returned top 20 images which had the most similarity with the query images and had an average precision rate of 0.75 or 75%. Keywords: Content-Based Image Retrieval, Local Derivative Pattern, Two-tier Inverted File, Real-life Face Image
SEMANTIC WEB SERVICE COMPOSITIONFOR ERP BUSINESS PROCESS Anang Kunaefi; Dwi Sunaryono; Imam Mukhlash
Jurnal Ilmiah Kursor Vol 7 No 1 (2013)
Publisher : Universitas Trunojoyo Madura

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SEMANTIC WEB SERVICE COMPOSITIONFOR ERP BUSINESS PROCESS aAnang Kunaefi, bRiyanarto Sarno, cDwi Sunaryono, d Imam Mukhlash a,b,c,d Institut Teknologi Sepuluh Nopember Surabaya E-Mail: an_kunaefi@yahoo.co.id Abstrak Saat ini, ERP (Enterprise Resource Planning) bergerak menuju layanan SaaS (Software as a Service) dan Multi-Tenancy, di mana aplikasi ERP melayani beberapa penyewa dengan proses bisnis yang berbeda dalam lingkungan berbasisweb service. Pada kasus Provider ERP, sangat penting untuk mencapai fleksibilitas proses bisnis penyewa sebagaimana didefinisikan dalam tingkatkematangan SaaS level 4, yaitu Configurable dan Scalable. Dengan cara ini, Penyedia dapat melayani proses bisnis penyewa secara dinamis.Penelitian ini menggunakan pendekatan komposisi semantik web service untuk menyelesaikan masalah fleksibilitas dalamproses bisnis. Ontologi digunakan sebagai representasi pengetahuan semantik pada domainpengetahuan ERP untuk proses pencarian dan komposisi web service. Selanjutnya, algoritma kemiripan berbasis fitur (Feature-based Similarity) dan kemiripan berbasis struktur (Structurebased Similarity)digunakan untuk melakukan pencarian kemiripan antara permintaan proses bisnis dariPenyewa dan proses bisnis Penyedia layanan ERP di Registry. Hasil penelitian menunjukkan bahwa metode yang diusulkan mampu memenuhi permintaan proses bisnis penyewa, baik workflow sederhana maupun workflow yang lebih kompleks dengan hasil yang baik. Kata kunci: Web Servis Semantik, Komposisi Semantik, Proses Bisnis ERP, Featurebased Similarity, Structure-based Similarity. Abstract Nowadays, ERP (Enterprise Resource Planning) moves toward SaaS (Software as a Service) and Multi-Tenancy, where an ERP application serves multiple tenants with different business processes in a web-service based environment. In the case of ERP provider, it is very important to achieve business process flexibility among tenants as defined in SaaS Maturity Level 4, that is Configurable and Scalable. InThis way, Provider can serve tenant’s business processes request dynamically.This research usingsemantic Web Service Composition approach to address business process flexibility problem. Ontology is used as a semantic representation of ERP domain knowledge for web service discovery and composition. Afterwards, the combination of Feature-based Similarity and Structural-based Similarity algorithms are used to do the discovery and matchmaking process between tenant’s business process request and business process available in the ERP provider’s registry. The result showsthat the proposed method in this paper is able to fulfil tenant’s business process request both for simple workflow and complex workflow with a good result. Keywords: Semantic Web Service, Semantic Composition, ERP Business Process, Feature-based Similarity, Structure-based Similarity
INDEPENDENCE TEST OF GAMELAN INSTRUMENTS SIGNAL IN TIME DOMAIN AND FREQUENCY DOMAIN Atik Wintarti; Yoyon K . Suprapto; Wirawan Wirawan
Jurnal Ilmiah Kursor Vol 7 No 1 (2013)
Publisher : Universitas Trunojoyo Madura

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INDEPENDENCE TEST OF GAMELAN INSTRUMENTS SIGNAL IN TIME DOMAIN AND FREQUENCY DOMAIN aAtik Wintarti, bYoyon K. Suprapto, cWirawan a,b,cElectrical Engineering Dept., Faculty of Industrial Technology, Institut Teknologi Sepuluh Nopember, Surabaya 60111 aMathematics Dept., Faculty of Mathematics and Sains, The State University of Surabaya, Surabaya 60231 E-mail: a atik10@mhs.ee.its.ac.id Abstrak Gamelan merupakan salah satu warisan budaya Indonesia yang sudah diakui dunia sehingga perlu dilestarikan di antaranya dengan melakukan penelitian terhadapnya. Untuk menganalisa gamelan yang merupakan suatu orkestra dari beberapa instrumen diperlukan pemisahan di antara sinyal-sinyal instrumen gamelan tersebut. Salah satu metode pemisahan yang cukup handal adalah Independent Component Analysis (ICA) yang mensyaratkan komponen-komponennya independen secara statistik. Pada penelitian ini uji independensi pada sinyal gamelan dilakukan dengan menggunakan metode statistik non-parametrik yaitu Least-Square Independence Test (LSIT). Pada pengolahan sinyal digital terdapat dua domain yaitu domain waktu dan domain frekuensi. Uji independensi dilakukan pada setiap pasang sinyal instrumen gamelan dari keluarga balungan yaitu Demung, Saron, dan Peking tidak hanya dalam domain waktu namun juga domain frekuensi. Hasil penelitian menunjukkan nilai Squared-Loss Mutual Information (SMI) hasil LSIT pada domain waktu lebih rendah daripada nilai SMI hasil LSIT pada domain frekuensi. Hal ini mungkin disebabkan oleh pengaruh dari Fast Fourier Transform (FFT) dimana tidak semua hasil transformasi pada domain frekuensi digunakan namun hanya meliputi frekuensi dasarnya saja. Kata kunci: uji independensi, gamelan, LSIT, domain waktu, domain frekuensi . Abstract Gamelan is one of Indonesian cultural heritage that has been recognized worlwide that need to be preserved such as doing some researches. Analyzing gamelan that plays like an orchestra of several instruments is needed separation between them. One of powerful separation method is Independent Component Analysis (ICA) that has prerequisite independent statistically for its components. In this research we use non-parametric statistical independence test, i. e. Least-Square Independence Test (LSIT). In digital signal processing there are two domain, e.g. time domain and frequency domain. The independence test is held for balungan group that consists of Demung, Saron, and Peking signals not only in time-domain but also frequency-domain. The results show that the Squared-Loss Mutual Information (SMI) value of LSIT in time-domain is lower than that in frequency domain. This may be due to the influence of Fast Fourier Transform (FFT) where not all of the results in the frequency domain transformations used but only just covering the fundamental frequency. Key words: independence test, gamelan, LSIT, time domain, frequency domain
DESIGN OF POTENTIAL CELLULASE PRIMER USING MULTIPLE SEQUENCE ALIGNMENT METHOD Bahrul Ulum; Wisnu Ananta Kusuma; Joni Prasetyo
Jurnal Ilmiah Kursor Vol 7 No 1 (2013)
Publisher : Universitas Trunojoyo Madura

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DESIGN OF POTENTIAL CELLULASE PRIMER USING MULTIPLE SEQUENCE ALIGNMENT METHOD aBahrul Ulum, bWisnu Ananta Kusuma, c Joni Prasetyo a,bDepartment of Computer Science, Bogor Agricultural University, Bogor, Indonesia aDepartment of Informatics Engineering, Al-Kamal Institute of Science and Technology, Jakarta cRenewable Energy Division, BPPT, Serpong, Indonesia E-mail: aabahrul@gmail.com Abstrak Selulase mempunyai peranan utama dalam pemanfaatan limbah biomassa yang mengandung lignin, hemicellulose, dan cellulose (lignocellulose). Limbah biomassa ini sangat banyak terdapat di lingkungan dan sampai saat ini masih belum dimanfaatkan secara maksimal, dikarenakan banyak mikroorganisme dari alam yang memproduksi enzim selulase dengan jumlah terbatas (aktifitasnya rendah). Dalam rangka meningkatkan produktivitas mikroorganisme untuk menghasilkan selulase, salah satu cara yang dapat diterapkan adalah merancang primer sekuens gen penyandi selulase yang dirangkum dari beberapa mikroorganisme penghasil selulase. Dalam penelitian ini, kami melakukan penyejajaran sekuen DNA penyandi selulase untuk mencari potensial primer untuk meningkatkan produktivitas enzim selulase dengan teknik Multiple Sequence Alignment (MSA). Metode yang digunakan adalah metode progresif (Progressive Alignment Algorithms). Hasil penelitian menunjukan bahwa pada tahap penyejajaran, didapatkan tiga daerah konservatif (conserved regions). Sedangkan pada tahap perancangan dengan beberapa parameter yang telah ditentukan didapatkan 46 pasang primer dari lima sekuen gen penyandi selulase yang didapat dari National Center for Biotechnology Information (NCBI). Kata kunci: Selulase, Multiple Sequence Alignment, Perancangan Primer. Abstract The role of cellulase is very important in degrading cellulose which is abundant in the environment, such as in biomass waste that is containing lignin, hemicellulose, and cellulose. Biomass waste is abundant in the environment and is still not fully utilized, because many of the natural microorganisms that produce cellulase enzymesproduce the enzyme in a limited amount (have low activity). In order to improve the productivity of microorganisms in producing cellulase, one of the ways that can be applied is to design primer sequences of genes encoding cellulase summarized from several cellulase-producing microorganisms. In this research,we perform alignment of DNA sequences coding of cellulase to look for potential primer in order to increase the productivity of cellulase enzymes by Multiple Sequence Alignment (MSA) method. The method used is progressive (Progressive Alignment Algorithms). The results showed that in the alignment phase, three conserved regions were obtained. However, in the planning phase by using some predetermined parameters 46 pairs of primer sequences were obtained from five genes encoding cellulase taken from NCBI. Keywords: Cellulase, Multiple Sequence Alignment, Primer design.
ENHANCEMENT OF 3D SURFACE RECONSTRUCTION OF UNDERWATER CORAL REEF BASE ON SIFT IMAGE MATCHING USING CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION AND OUTLIER REMOVAL Pulung Nurtantio Andono; Ricardus Anggi Pramunendar; Catur Supriyanto; Guruh Fajar Shidik; I Ketut Eddy Purnama; Mochamad Hariadi
Jurnal Ilmiah Kursor Vol 7 No 1 (2013)
Publisher : Universitas Trunojoyo Madura

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ENHANCEMENT OF 3D SURFACE RECONSTRUCTION OF UNDERWATER CORAL REEF BASE ON SIFT IMAGE MATCHING USING CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION AND OUTLIER REMOVAL aPulung Nurtantio Andono, bRicardus Anggi Pramunendar, cCatur Supriyanto, dGuruh Fajar Shidik,e I Ketut Eddy Purnama, fMochamad Hariadi a,b,c,dFaculty of Computer Science, Dian Nuswantoro University Jalan Imam Bonjol, No. 207, Semarang 50131, Indonesia e,fFaculty of Industrial Technology, Dept. of Electrical Engineering, ITS, Surabaya, Indonesia Email: a pulung@research.dinus.ac.id Abstrak Penelitian ini menggambarkan peningkatan kualitas rekonstruksi 3D permukaan terumbu karang bawah laut menggunakan sistem kamera stereo. Algoritma Contrast Limited Adaptive Histogram image Equalization (CLAHE) diusulkan untuk meningkatkan kualitas citra bawah laut tersebut, karena menurunnya kualitas citra bawah laut dapat disebabkan oleh penyerapan dan hamburan sinar matahari. Dalam mengembangkan rekonstruksi 3D permukaan bawah laut, pasangan citra stereo diekstrak secara manual dari rekaman video yang diperoleh, yang kemudian dilakukan proses pencocokan citra stereo menggunakan algoritma SIFT. Kelebihan algoritma SIFT tersebut adalah tahan terhadap perubahan skala, transformasi, dan rotasi dari sepasang citra tersebut. Banyaknya matching point antar 2 citra stereo dijadikan ukuran untuk mengetahui kinerja CLAHE terhadap algoritma SIFT. Hasil penelitian menunjukan bahwa penggunaan CLAHE dan outlier removal mampu meningkatkan jumlah matching point sebesar 56%. Keberhasilan CLAHE tersebut perlu diujikan ke beberapa algoritma matching point yang lain. Perbandingan beberapa algoritma matching point yang menerapkan CLAHE dapat membuktikan bahwa CLAHE sangat cocok dalam meningkatkan kinerja algoritma matching point dan rekonstruksi permukaan 3D citra bawah laut. Kata kunci: Rekonstruksi 3D, Citra Bawah Laut, SIFT, CLAHE. Abstract This research describes an enhancement of 3D Reconstruction coral reef images using stereo camera system. Contrast Limited Adaptive Histogram image Equalization (CLAHE) algorithm was proposed to enhance the image quality in preprocessing area, since the quality of underwater images degrades by the absorption and scattering of light. To develop a 3D-representation of the seafloor, image-pairs were first extracted from the video footage manually, then corresponding points are automatically extracted from the stereo-pairs by SIFT matching algorithm, which is invariant to scale, translation, and rotation. Number of matching points is used to evaluate the performance of SIFT with and without CLAHE. As a result, the promising techniques provides better 3D reconstruction details of coral reef imagesin total, the combination of CLAHE and outlier removal performs the enhancement for 56%. For further, CLAHE need to be performed to other image matching techniques. The comparison of different image matching techniques with and without CLAHE can prove that CLAHE is appropriate as image enhancement method for image matching and 3D surface reconstruction. Key words: 3D Reconstruction, Underwater Image, SIFT, CLAHE.

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