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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 135 Documents
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CLASSIFICATION OF BATIK LAMONGAN BASED ON FEATURES OF COLOR, TEXTURE AND SHAPE Miftahus Sholihin; Siti Mujilahwati; Retno Wardhani
Jurnal Ilmiah Kursor Vol 9 No 1 (2017)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i1.114

Abstract

Classification aims to classify object into specific classes based on the value of the attribute associated with the object being observed. In this research designed a system that serves to classify Lamongan batik cloth based on color features using color moment, texture using Gray Level Co-occurence Matrix (GLCM), and shape using moment invariant, classification using K-Nearest Neighbors (K-NN) method. In outline the system was built consists of three main processes namely pre-processing, feature extraction, and classification. The highest accuracy rate in this study was 90.4% when the value of k = 6.
FOREIGN TOURIST ARRIVAL FORECASTING TO BALI USING CASCADE FORWARD BACKPROPAGATION Ayu Nikki Asvikarani; I Made Widiartha; Made Agung Raharja
Jurnal Ilmiah Kursor Vol 10 No 4 (2020)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v10i4.252

Abstract

Bali has a recognized tourism potential in the world arena. In order to improve the quality and development of the tourism sector in the midst of global competition, it is necessary to formulate appropriate strategies by decision makers such as private parties and government. In support of more accurate decision making, the authors make a system of forecasting the number of foreign tourist visits to Bali Province using Cascade Forward Backpropagation (CFB) method with coverage of Australia, Japan, and United Kingdom which are the top 3 countries with the highest foreign tourist arrival to Bali in that years. Factors used as input in forecasting include the number of visits of foreign tourists the previous year, the population of countries of origin of foreign tourists, Gross Domestic Product at current prices of countries of origin of foreign tourists, and Relative Consumer Price Index Origin of foreign tourists. In this study, optimization of activation function parameters, hidden neurons, and learning rate to obtain forecasting results with the lowest error rate. Forecasting results using the CFB method produces a fairly good accuracy with MAPE range of 6 - 30% where the activation function tanh work better than sigmoid activation function.
SUPERRESOLUTION USING PAPOULIS-GERCHBERG ALGORITHM BASED PHASE BASED IMAGE MATCHING Budi Setiyono; Mochamad Hariadi; Mauridhi Hery Purnomo
Jurnal Ilmiah Kursor Vol 6 No 3 (2012)
Publisher : Universitas Trunojoyo Madura

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Abstract

Citra resolusi tinggi (High Resolution Image) akan memberikan informasi yang lebih detail, sehingga analisis terhadap citra tersebut menjadi lebih akurat. Banyak bidang memerlukan citra resolusi tinggi antara lain adalah medical, penginderaan satelite, citra dari teleskop serta pengenalan pola.Pada penelitian ini dilakukan proses untuk mendapatkan citra resolusi tinggi, yang dikenal dengan superresolution. Sebagai citra referensi, digunakan lebih dari satu citra, namun demikian, citra-citra tersebut berada pada scene yang sama. Dua tahap utama dalam superresolution adalah registrasi dan rekonstruksi. Registrasi yang akurat diperlukan untuk mendapatkan hasil rekonstruksi yang baik. Phase-Based Image Matching (PBIM) digunakan untuk estimasi translasi pada tahap registrasi. Hanya translasi sampai ketelitian sub pixel yang berkontribusi dalam rekonstruksi. Untuk mendapatkan translasi sampai level sub pixel, dilakukan fitting disekitar puncak. Sedangkan untuk rekonstruksi ke dalam Grid Resolusi tinggi digunakan algoritma Papoulis-Gerchberg. Penulis melakukan kolaborasi antara registrasi dengan PBIM dan rekonstruksi menggunakan algoritma PapoulisGerchberg. Uji coba dilakukan penulis dengan obyek serangkaian citra dengan banyak tekstur dan sedikit tekstur. Dari hasil uji coba, citra dengan banyak tekstur akan menghasilkan Peak Signal to Noise Ratio (PSNR) rata-rata 21,62. Sedangkan untuk citra yang kurang mengandung tekstur 19,54. Kata kunci: Superresolution, Registrasi, Rekonstruksi, Phased Based Image Matching. Abstract High Resolution Image provide more detail information, so that it obtain more accurate image analysis. Many areas require high resolution image, such as medical, sensing satellite, image of the telescope and pattern recognition. This research make a process to obtain high resolution images, known as superresolution. This superresolution using a series of images in the same scene as the reference image. Two main stages in the super resolution are the registration and reconstruction. An accurate registration is required to obtain a great reconstruction results. Phase-Based Image Matching (PBIM) will be used to estimate pixels translation at the registration stage. Only sub-pixels translation which contribute to the reconstruction phase. We used the function fitting around the peak point, to obtain sub pixel accurate shift. While reconstruct a high-resolution image use Papoulis-Gerchberg algorithm. The author collaborate registration and reconstruction. Registration using PBIM and reconstruction using Papoulis-Gerchberg algorithm. Experiments have been done with a series of images that contain much texture and less texture. The experimental results with images contain much texture produces an average Peak Signal to Noise Ratio (PSNR) 21.62. While image contain less texture produces PSNR 19.54.
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
ONLINE KERNEL AMGLVQ FOR ARRHYTHMIA HEARBEATS CLASSIFICATION Elly Matul Imah; R. Sulaiman
Jurnal Ilmiah Kursor Vol 8 No 4 (2016)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v8i4.108

Abstract

This study proposes Online Kernel Adaptive Multilayer Generalized Learning Vector Quantization (KAMGLVQ) for handling imbalanced data sets. KAMGLVQ is extended version of AMGLVQ that used kernel function to handling non-linear classification problems. Basically AMGLVQ is vector quantization based learning. The vector quantization based learning is very simple algorithm that can be applied to the multiclass problem and the complexity of LVQ can be controlled during training process. KAMGLVQ works at online kernel learning system that integrating feature extraction and classification. The architecture network of KAMGLVQ consists of three layers, input layer, hidden layer, and an output layer. The hidden layer of KAMGLVQ is adaptive; this algorithm will generate a number of hidden layer nodes. The algorithm implement on real ECG signals from the MIT-BIH arrhythmias database and synthetic data. The experiments showed that KAMGLVQ able improve the accuracy of classification better than SVM or back-propagation NN; also able to reduce the time computational cost.
Electronic Data Interchange (EDI) Applications Use the Decision Tree Method to Determine Vendor Recommendations Mariana Rospilinda Siki; Nisa Hanum Harani; Cahyo Prianto
Jurnal Ilmiah Kursor Vol 10 No 2 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v10i2.217

Abstract

Electronic Data Interchange (EDI) is an electronic data exchange mechanism between a company and another company or Business to Business (B2B) in a supply chain cycle. In this study, EDI's role in managing the procurement of goods as well as the EDI model has been applied. Determination of vendor recommendations is one element of vendor performance evaluation of the procurement process. Lack of information and analysis obtained by PT. Cinovasi Rekaprima makes it difficult to predict vendor recommendations. Predicted vendor recommendations can help the Procurement Division in developing appropriate strategies to determine recommended vendors. This problem can be applied to data mining techniques to make predictions using the classification method. Decision Tree is a method that converts facts into decision trees that represent rules that can be interpreted by humans. Attributes that influence the determination of vendor recommendations consist of the availability of goods, services, ease of ordering and product quality. Sample data obtained directly from the Procurement Division of PT. Cinovasi Rekaprima is primary data in the form of vendor data (quotation) and secondary data in the form of vendor performance evaluation forms. The result of the EDI application is a classification consisting of 2 classes, namely recommended vendors and non-recommended vendors and the Procurement Division can use it for decision making to determine the right vendor, so that the procurement process becomes easier and increases company profitability. The testing model uses k-fold cross-validation with the k value is 1 to 10 fold. This application can determine vendor recommendations with the highest accuracy 87.00 % on k-3 and k-5 fold.
SIMULASI PENERAPAN ANFIS PADA SISTEM LAMPU LALU LINTAS ENAM RUAS Buana Suhurdin Putra; Romi Satria Wahono; Rufman Iman Akbar E
Jurnal Ilmiah Kursor Vol 6 No 2 (2011)
Publisher : Universitas Trunojoyo Madura

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Abstract

SIMULASI PENERAPAN ANFIS PADA SISTEM LAMPU LALU LINTAS ENAM RUAS aBuana Suhurdin Putra, bRomi Satria Wahono, cRufman Iman Akbar E a Sekolah Tinggi Teknologi Jakarta, Jl. Raya Jatiwaringin 273, Pondok Gede 17411 b PT Brainmatics Cipta Informatika, Jakarta, Menara Bidakara, Lantai 2, Suite 0205 Jl. Jend. Gatot Subroto Kav. 71-73, Jakarta 12870 c Sekolah Tinggi Manajemen Informatika dan Komputer Eresha, Jakarta Jl. Haji Samali No. 51, Kalibata 12740 E-Mail: a buana_s@yahoo.com Abstrak Sistem lampu lalu lintas atau alat pemberi isyarat lalu lintas bertujuan untuk dapat mengatur arus lalu lintas di sebuah persimpangan. Pengaturan durasi lampu hijau di tiap ruas dapat dilakukan secara statis maupun secara dinamis. Pengaturan durasi yang tepat, tidak hanya terwujud dengan kelancaran arus lalu lintas namun dapat juga terwujud dengan waktu tunggu kendaraan yang tidak terlalu lama di persimpangan. Penelitian ini dilakukan untuk membandingkan waktu tunggu rata-rata yang dihasilkan dari pengaturan metode statis dan metode dinamis dengan neuro-fuzzy menggunakan ANFIS di persimpangan enam ruas. Data penelitian dibuat berdasarkan pengamatan lapangan terhadap waktu rata-rata kedatangan kendaraan di suatu ruas persimpanagan, waktu rata-rata kendaraan melewati ruas persimpangan, serta durasi lampu hijau di setiap ruas persimpangan. Kemudian data ini diolah menggunakan suatu perangkat lunak simulasi untuk memperoleh hasil pada metode statis. Tahap berikutnya pada rutin perangkat lunak tersebut ditambahkan sistem ANFIS untuk menentukan durasi lampu hijau berdasarkan kondisi ruas lainnya sehingga diperoleh hasil untuk metode dinamis. Hasil penelitian menunjukkan bahwa metode dinamis menggunakan ANFIS dapat memberikan hasil hingga 20,24% lebih optimal dari metode statis yang diterapkan saat ini. Kata kunci: sistem lampu lalu lintas, Neuro-Fuzzy, ANFIS. Abstract The traffic light system aims to control the flow of traffic at an intersection. Arrangement the duration of green lights on every section can be done either statically or dynamically. The right duration arrangement not just can be proved by the smooth flow of traffic but also the waiting time of the vehicles that are not too long at the intersection. This research was conducted to compare the average of waiting time between static method arrangement and dynamic method arrangement using ANFIS at the six-way intersection. Research data are based on field observations of the average arrival time of vehicles, the average time when vehicle passes the segment of intersection, and duration of green lights on each segment of intersection. Then the data are processed using simulation software to obtain the static method result. The next step, ANFIS system is added to the software routine to determine the duration of green lights based on the condition of the other segments in order to obtain the dynamic method results. The result showed that the dynamic method using ANFIS can provide 20,24% more optimal result than the static method that is applied today.
OPTIMIZING OF BOXING AGENT BEHAVIOR USING ELITISM BASED GENETIC ALGORITHM Anang Kukuh Adisusilo; Mochamad Hariadi; Ahmad Zaini; Supeno Mardi Susiki Nugroho
Jurnal Ilmiah Kursor Vol 7 No 2 (2013)
Publisher : Universitas Trunojoyo Madura

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Abstract

OPTIMIZING OF BOXING AGENT BEHAVIOR USING ELITISM BASED GENETIC ALGORITHM aAnang Kukuh Adisusilo, bMochamad Hariadi, cAhmad Zaini, d Supeno Mardi Susiki Nugroho aDepartment of Information Engineering, Faculty of Engineering, University of Wijaya Kusuma Surabaya b,c,dIntelligent Network Expertise Multimedia Department of Electrical Engineering, Faculty of Industrial Technology, Sepuluh Nopember Institute of Technology Surabaya Email: anang@anang65.web.id Abstrak Pola perilaku agen tinju pada permainan tinju dipengaruhi oleh beberapa faktor antara lain teknik gerakan bertinju, jenis pukulan tinju, stamina, dan energi pukulan. Pola perilaku agen tinju secara umum menggunakan variabel random dengan distribusi event dari setiap state secara acak. Penelitian dengan menggunakan FSM (Finite State Machine) berbasis algoritma genetika, menghasilkan nilai fitness 0.96, untuk pola perilaku agen cenderung maju kearah lawan, energi pukulan cenderung sedikit, dan menggunakan jenis pukulan dengan objektivitas tinggi. Penelitian ini menggunakan fungsi elitism pada algoritma genetika untuk dapat menghasilkan nilai fitness yang stabil dan pola perilaku agen tinju yang lebih baik dibandingkan tanpa menggunakan fungsi elitism. Nilai fitness yang dihasilkan dari penelitian ini diantara 3.101748 sampai 3.14738 dan nilai fitness optimal diantara 2.78083 sampai 3.167174, dengan siklus algoritma genetika lebih besar sama dengan generasi ke-25. Pola perilaku agen tinju yang dihasilkan berdasarkan nilai fitness adalah menyerang menggunakan satu jenis pukulan uppercut right dan tiga pukulan jab, dengan energi pukulan diantara 48 sampai 52 dan pola permaianan cenderung maju sambil melindungi wajah (covered). Pola perilaku agen tinju dari nilai fitness adalah menyerang menggunakan satu jenis pukulan uppercut right dan tiga pukulan jab dengan energi pukulan diantara 48 sampai 52 dengan pola permaianan cenderung maju dan melindungi wajah (covered). Kata kunci: Perilaku agen, Algoritma Genetika, Optimasi, Permainan Tinju, FSM. Abstract Boxing agent behavior patterns in the game of boxing is affected by several factors, i.e. the technique of boxing movements, type of punch, stamina, and energy of the punch. Boxing agent behavior patterns in general use variable random event where is state distribution randomly. A study using FSM (Finite State Machine) based on genetic algorithms, resulting fitness value 0.96 for boxing agent behavior patterns that tend to move towards the opponent , used energy to blow is likely small, and it uses the kind of blow that has high objectivity. This study will utilize elitism function in genetic algorithms to produce a stable fitness and better boxing agent behavior patterns than the one use genetic algorithms without elitism function. Fitness value result from this study between 3.14738 and 3.101748 and the optimal fitness value between 2.78083 to 3.167174, with a genetic algorithm cycle equal or more than the 25th. The boxing agen behavior patterns generated from fitness value is to attack using single type of blow, right uppercut punch and jab with a three-punch blow energy between 48 to 52 and patterns game that tend to move foward with covered the face. Key words: Agent behavior, Genetic Algorithm, Optimation, Boxing game, FSM
SEGMENTATION AND COUNTING THE NUMBER OF TEETH PANORAMIC DENTAL IMAGE Nur Nafi'iyah; Endang Setyati
Jurnal Ilmiah Kursor Vol 9 No 4 (2018)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i4.181

Abstract

There are many methods for segmentation human teeth or dental radiographs. The most frequently used segmentation method is thresholding. In developing a system of segmentation in human teeth based on panoramic tooth photographs, several very important steps are needed. Segmentation is the separation of teeth from the background and separation of each tooth. The purpose of this study, which is to separate dental image per tooth by segmentation. In addition, the other most important process is feature extraction, which is the process of knowing the most important part of the image of the tooth to be processed. Stages in this study, namely: improving the image with CLAHE, then thresholding, the results of thresholding are segmented using integral projections, the results of segmentation extracted features using tooth centroid. Thresholding or binarization is changing grayscale image into binary forms, the algorithm used is iterative adhaptive thresholding. The accuracy value of the thresholding process or separating teeth from the background is 66.67%. Segmentation is done twice, namely: separating the maxilla and mandible, and separating each tooth. Separates the maxilla and mandible using a horizontal integral projection algorithm. Whereas to separate each tooth using vertical integral projection. In order for the separation process of each tooth to produce the best, the tooth panoramic photo is divided into three parts, namely: the left, right, and center. However, from the process of separation of each tooth the accuracy is 33.33%.
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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Abstract

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.

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