IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
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Penentuan Klas Sidik Jari Berdasarkan Arah Kemiringan Ridge
Get PDFResearches on fingerprint classification are generally based on its features such as core and delta. Extraction of these features are generally preceded by a variety of preprocessing. In this study the classification is done directly on the fingerprint image without preprocessing. Feature used as the basis for classification is the direction of the ridge. The direction of the ridge is determined by the slope of the blocks that are exist on every ridge. Fingerprint image is divided into blocks of size 3x3 pixels and the direction of each block is determined. Direction of the slope of the block are grouped into 8, these are north, north-east, east, south-east, south, south-west, west and north-west. The number of blocks in each direction form the basis of classification using Learning Vector Quantization network (LVQ). This study used 80 data samples from the database of FVC2004. This model obtained classification accuracy of up to 86.3%. Keywords—fingerprint, classification, ridge, LV
SIM Kemiskinan Sebagai Dasar Informasi Geografis Untuk Pemetaan Prioritas Pengentasan Kemiskinan di Kabupaten Banjarnegara
Get PDFProgram pengentasan kemiskinan merupakan prioritas bagi pemerintah daerah Kabupaten Banjarnegara yang harus ditangani. Penelitan ini bermaksud merancang bangun sebuah sistem informasi yang mengolah data penduduk yang dapat diolah menjadi sebuah informasi kemiskinan yang dapat diakses melalui web dengan menggunakan standar indikator kemiskinan menurut BPS. Metode yang digunakan dalam penelitian ini adalah dengan cara action research dan model pengembangan sistem informasi adalah secara terstruktur menggunakan waterfall. Hasil dari penelitian ini adalah dapat menyajikan informasi yang dapat menetukan kriteria kemiskinan dengan model singgle-criteria maupun multiple-criteria sesuai kebutuhan indikator kemiskinan yang ditentukan hingga pada tingkat desa, serta memberikan informasi tentang jenis-jenis bantuan yang telah diberikan pada setiap penduduk berdasarkan nama dan alamat (by name by address). Hasil selanjutnya adalah dapat dijadikan sebagai dasar pemetaan digital (Sistem Informasi Geografis/SIG) untuk menentukan kantong kemiskinan di suatu daerah, dengan memberikan pewarnaan yang menjadi indikator tingkat kemiskinan. Kata Kunci : kemiskinan, sistem informasi, penduduk, indikator BPS, GIS
Analisis dan Perancangan Sistem Manajemen Event Berbasis Mobile Push Notification
Get PDFKonvergensi teknologi Internet dan piranti mobile/smartphone saat ini bisa dimanfaatkan secara optimal sebagai salah satu media promosi dan pengelolaan sebuah acara. Dengan keberadaan teknologi push service akan memungkinkan setiap informasi acara baru dapat diterima oleh calon peserta yang prospektif. Selain itu pula dengan mengusung teknologi cloud computing, setiap penyelenggara acara cukup menggunakan service yang disediakan khusus di server Internet untuk mengelola acara yang akan diselenggarakan tanpa harus menyediakan infrastruktur sendiri. Pada penelitian ini telah berhasil dibuat rancangan sistem manajemen acara (event) yang diselenggarakan oleh event organizer atau sering disebut EO. Rancangan yang dibuat meliputi struktur tabel, menu hingga antarmuka aplikasi meliputi antarmuka berbasis web untuk administrator EO dan antarmuka berbasis mobile iPhone untuk user. Keywords: event, push notification, mobile, antarmuka
Sistem Pendukung Keputusan Klinis dengan Memanfaatkan Jaringan Syaraf Tiruan Untuk Mendeteksi Stadium Penderita Kanker Paru-Paru Jenis Karsinoma Bukan Sel Kecil
Get PDFAbstract-- Lung cancer is leading cause of death in the cancer group. In general, lung cancer has some symptoms, but at an early stage, symptoms are not perceived by the patient. As a result, when patients go to hospital, lung cancer has been diagnosed in middle or high stage. For early detection of lung cancer, necessary a decision support system based on computerized technology that can be utilized by doctor needed to detection lung cancer. The clinical decision support system will help to determine specific medical treatment. The clinical decision support system capable to know data input and produce output result by learning process. The learning process is part of process in artificial neural network (ANN). Many methods used in ANN as Backpropagation (BP)learning algorithm. BP used to produce output result in decision support system. Keywords-- lung cancer, stage, clinical decision support systems, neural network, multilayer perceptron, backpropagation algorith
Analisis Fitur Kalimat untuk Peringkas Teks Otomatis pada Bahasa Indonesia
Get PDFAbstract— Automatic Text Summarization (ATS) is a technique to create a summary of the document automatically by using computer applications to produce the most important information from the original document. Features are required to perform weighting of sentences, including Log-TFISF (term frequency index sentence frequency), sentence location, sentence overlap, title overlap and sentence relative length. This research conducted an analysis of five features in order to determine the weights of each feature that will get the results of a coherent summary. The five features are implemented in automated text summarization system in Indonesian language that was developed using the method of relative importance of topics. Results from experiments show that sentence location feature has the highest F-Measures namely 0.46 and then consecutive sentence overlap, title overlap, sentence relative length and Log-TFISF, with a value of 0.42, 0.42, 0.35 and 0.32. Relative weights of feature extraction consecutive from the largest are sentence location, sentence overlap, title overlap, sentence relative length and Log-TFISF with a value of 0.25, 0.22, 0.22, 0.19 and 0.12. These relative weights are implemented on ATS, so we get accuracy of 70.62%. It is more accurate 2,86% than without relative weights which accuracy of 67,72%.. .Keywords— Automatic Text Summarization (ATS), Log-TFISF, sentence location, sentence overlap, title overlap, sentence relative length, bahasa Indonesi
Facial Expression Recognition By Using Fisherface Methode With Backpropagation Neural Network
Get PDFAbstract— In daily lives, especially in interpersonal communication, face often used for expression. Facial expressions give information about the emotional state of the person. A facial expression is one of the behavioral characteristics. The components of a basic facial expression analysis system are face detection, face data extraction, and facial expression recognition. Fisherface method with backpropagation artificial neural network approach can be used for facial expression recognition. This method consists of two-stage process, namely PCA and LDA. PCA is used to reduce the dimension, while the LDA is used for features extraction of facial expressions. The system was tested with 2 databases namely JAFFE database and MUG database. The system correctly classified the expression with accuracy of 86.85%, and false positive 25 for image type I of JAFFE, for image type II of JAFFE 89.20% and false positive 15, for type III of JAFFE 87.79%, and false positive for 16. The image of MUG are 98.09%, and false positive 5.Keywords— facial expression, fisherface method, PCA, LDA, backpropagation neural network
Sistem Pendukung Keputusan Pemilihan Subkontrak Menggunakan Metode Entropy dan TOPSIS
Get PDFAbstract— Outsourcing is a part of production process of manufacturing industry which contribute for suitainability of a manufacture process. Choosing appropriate subcontractor which match spesification is not easy. In order to help company in determining credible subcontractors is needed a decision support system.Selection of decision support system for the production of subcontracting gloves uses Entropy and TOPSIS methods. Entropy method is used to give weight to the criteria. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method is used to select the best subcontractors, where subcontracting was elected not only has the shortest distance from the positive ideal solution but it also has the longest distance from the negative ideal solution. Designing of systems use ERD and DFD for identifying the needs of users and systems, and as for guiding the software implementation. The results of this research are the establishment of an application used to select subcontractors based on established criteria. Test results on the application can provide decision input/suggestion, although the criteria used in making decision is different. Subcontract selection decision support system can be an alternative to choose subcontractors for the production of gloves in PT. Adi Satria Abadi Yogyakarta.Keywords— DSS, Decision Support System, Entropy, TOPSIS, Subcontrac
PENDEKATAN ALGORITMA GENETIKA DALAM MENYELESAIKAN PERMASALAHAN FUZZY LINEAR PROGRAMMING
Get PDFFuzzy linear programming is one of the linear programming developments which able to accommodate uncertainty in the real world. Genetic algorithm approach in solving linear programming problems with fuzzy constraints has been introduced by Lin (2008) by providing a case which consists of two decision variables and three constraint functions. Other linear programming problem arise with the presence of some coefficients which are fuzzy in linear programming problems, such as the coefficient of the objective function, the coefficient of constraint functions, and right-hand side coefficients constraint functions. In this study, the problem studied is to explain the genetic algorithm approach to solve linear programming problems where the objective function coefficients and right-hand sides are fuzzy constraint functions.PT Dakota Furniture study case provides a linear programming formulation with a given objective function coefficients and right-hand side coefficients are fuzzy constraint functions. This study describes the use of genetic algorithm approach to solve the problem of linear programming of PT Dakota to maximize the mean income. The genetic algorithm approach is done by simulate every fuzzy number and each fuzzy numbers by distributing them on certain partition points. Then genetic algorithm is used to evaluate the value for each partition point. As a result, the Final Value represents the coefficient of fuzzy number. Fitness function is done by calculating the value of the objective function of linear programming problems. Empirical results indicated that the genetic algorithm approach can provide a very good solution by giving some limitations on each fuzzy coefficient.Genetic algorithm approach can be extended not only to resolve the case of PT Dakota Furniture, but can also be used to solve other linear programming case with some coefficients in the objective function and constraint functions are fuzzy.Keywords : Genetic Algorithm, Fuzzy Linear Programming, Linear Programming, Two-Phase Simplex Metho
SPASIAL DATA MINING MENGGUNAKAN MODEL SAR-KRIGING
Get PDFThe region of Indonesia is very sparse and it has a variation condition in social, economic and culture, so the problem in education quality at many locations is an interesting topic to be studied. Database used in this research is Base Survey of National Education 2003, while a spatial data is presented by district coordinate as a least analysis unit. The aim of this research is to study and to apply spatial data mining to predict education quality at elementary and junior high schools using SAR-Kriging method which combines an expansion SAR and Kriging method. Spatial data mining process has three stages. preprocessing, process of data mining, and post processing.For processing data and checking model, we built software application of Spatial Data Mining using SAR-Kriging method. An application is used to predict education quality at unsample locations at some cities at DIY Province. The result shows that SAR-Kriging method for some cities at DIY for elementary school has an average percentage error 6.43%. We can conclude that for elementary school, SAR-Kriging method can be used as a fitted model. Keywords— Expansion SAR, SAR-Kriging, quality educatio
PENERAPAN SISTIM PENDUKUNG KEPUTUSAN DALAM SISTEM PENGUJIAN COMPUTERIZED ADAPTIVE TESTING
Get PDFThis study aims to make design decision support system adaptive to examinee ability to go to college.Decision support systems are made using one parameter logistic model by taking into account the difficulty level of questions adapted to the ability of the examinee. Questions are selected so that the items follow the ability of examinee more accurate assessment of ability with a lesser number of items.CAT a web-based applications require lesser number of items in determining the ability of examinee. College can determine the appropriate characteristics of the ability of examinee acceptance criteria for each department with domain weighting, and then determine the minimum level of capability that will be received and an appropriate amount to be received. Key word: Decision Support System, Computerized Adaptive Testin