IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
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Sistem Pendukung Keputusan Seleksi Anggota Paduan Suara Dewasa Menggunakan Metode Fuzzy Mamdani
Get PDFAbstrakKebijaksanaan dalam mengambil sebuah keputusan pada permasalahan tertentu bukan lah hal yang mudah, karena perlu dilakukan pertimbangan yang diharapkan dapat membantu memberikan alasan keputusan tertentu harus diambil. Begitu juga penanganan masalah menentukan seseorang untuk menjadi anggota paduan suara dewasa pada Sanggar Bina Vokalia Menteng Palangka Raya.Seseorang yang akan bergabung pada sebuah tim paduan suara yang akan mengikuti kegiatan atau event tertentu, maka hal yang perlu diperlukan adalah seperti kualitas usia, pengalaman, kedisiplinan, intonasi, artikulasi dan wilayah nada dari seseorang tersebut. Sistem Pendukung Keputusan Seleksi Anggota Paduan Suara Kategori Dewasa sangat tepat diterapkan untuk penanganan masalah yang membutuhkan penyelesaian mandiri dari komputer untuk pemrosesan data peserta yang mengikuti seleksi dengan perhitungan efisien dan akurat. Dengan menggunakan penalaran Logika Fuzzy Mamdani dalam pemrosesan data input dan output, serta informasi pendukung berupa ranking sangat mendukung dalam pengambilan keputusan untuk menentukan seseorang untuk menjadi anggota paduan suara dewasa. Kata kunci— Sistem Pendukung Keputusan, Paduan Suara, Logika Fuzzy, Mamdani AbstractWisdom in taking a decision on a particular issue is in fact not an easy thing, because consideration needs to be done that is expected to help justify a particular decision should be taken. So is handling the problem of determining a person to become a member of the adult choir at Sanggar Bina Vokalia Menteng Palangkaraya.Someone who will join in a choir team who will follow a particular activity or event, then it is necessary to like the quality of the age, experience, discipline, intonation, articulation and tone areas of a person is.Decision Support System Selection Category Adult Choir members are very appropriate to be applied to the handling problems that require independent completion of the computer for processing the data that follows the selection of participants with efficient and accurate calculations. By using Mamdani Fuzzy Logic reasoning in data processing input and output, and supporting information in the form of ranking is very supportive in the decision to determine a person to become a member of the adult choir. Keywords— Decision Support System, Chorus, Fuzzy's logic, Mamdan
Penerapan FCM dan TSK Untuk Penentuan Cluster Rawan Pangan di Kabupaten Cirebon
Get PDFAbstrakKetahanan pangan merupakan salah satu prasyarat dasar yang harus dimiliki dalam rangka mewujudkan kesejahteraan masyarakat. Namun, pada kenyataannya meskipun kabupaten Cirebon termasuk salah satu pensuplai beras wilayah Jawa Barat masih ada beberapa desa yang justru mengalami rawan pangan. Minimnya indikator yang digunakan oleh BKP5K Kabupaten Cirebon dalam menentukan status rawan pangan dan tahan pangan masih menjadi kendala dalam penganalisaan penyebab rawan pangan. Penelitian ini mencoba mengembangkan sebuah sistem yang dapat membantu BKP5K Kabupaten Cirebon untuk penentuan cluster rawan pangan dan tahan pangan serta macam rekomendasi bantuannya melalui parameter indikator ketahanan dan kerawanan pangan yang telah ditentukan. Sistem ini dibangun dengan menggunakan metode Fuzzy C-Means untuk mengelompokkan daerah rawan pangan dan tahan pangan serta metode Takagi Sugeno Kang sebagai rulebase dalam pemberian rekomendasi bantuannya. Setelah melakukan pengujian pada 6 kasus uji, aspek yang paling berpengaruh pada penentuan desa rawan pangan yaitu aspek ketersediaan pangan, aspek akses pangan dan penghidupan, serta aspek kesehatan dan gizi. Sedangkan jumlah penduduk dibawah garis kemiskinan, desa yang tidak memiliki akses penghubung yang memadai, jumlah RT tanpa akses listrik, jumlah areal tanam yang terkena puso, serta jumlah buruh baik buruh tani dan swasta merupakan 5 indikator yang memiliki pengaruh penting dalam penentuan daerah rawan pangan. Kata kunci— Fuzzy C-Means, Fuzzy Takagi Sugeno Kang, rawan pangan, cluster AbstractFood security is one of the basic prerequisites that must be reserved in order to realize the welfare of society. Although the district Cirebon is one supplier of rice areas of West Java, there are still some villages experiencing food insecurity. The lack of indicators used by BKP5K Cirebon in determining the food insecurity is still a constraint in analyzing the causes of food insecurity. This study seeks to develop a system that can help BKP5K Cirebon to determine cluster food insecurity and advice assistance through a variety of parameters have been determined.The system is built using the Fuzzy C-Means method to classify the food insecurity and food stand andalso Takagi Sugeno Kang method asrulebase in the provision of assistance and advice. After testing 6thtest cases, the most influential aspectare: aspect food availability,aspect accessfood and livelihood, and also aspects of health and nutrition. While the number of people below the poverty line, the village with no access to adequate, the number of RT without access to electricity, the number of areas puso, and the number of workers are5thindicators that have an important influence in the determination of food-insecure areas. Keywords— Fuzzy C-Means, Fuzzy Takagi Sugeno Kang, Food insecurity, Cluste
Fuzzy AHP Non-Additive Pada Keputusan Pendirian Klinik Bersalin Daerah
Get PDFAbstrak— Tingginya jumlah kematian ibu dan anak menempatkan Indonesia di rangking teratas kawasan Asia Tenggara.Penelitian yang dilakukan untuk mengurangi jumlah angka kematian ibu dan anak yaitu penyedian sarana dalam hal ini klinik bersalin disuatu daerah, demi tercapainya Milenium Development Goals (MDGs) di tahun 2015.Pengumpulan data yang mendukung penelitian ini, yaitu melakukan konsultasi dengan kepala Dinas Kesehatan Sulawesi Selatan sehingga dihasilkan kriteria-kriteria terbaik dalam pendirian klinik bersalin. Kriteria-kriteria tersebut disusun berdasarkan studi literatur, observasi, dan wawacara.Selanjutnya kriteria tersebut diberi penilaian perbandingan berpasangan dengan AHP untuk mencari bobot prior dengan skala penilaian antara 1 – 9, sedangkan untuk mencari bobot informasional dan upper excepted value menggunakan TFN (Triangular Fuzzy Number).Hasil yang didapat dengan menggunakan Fuzzy AHP non-additive dalam pendirian klinik bersalin menunjukkan bahwa kriteria prevalensi, penduduk, kesakitan, petugas, dan sarana merupakan kriteria utama dalam pendirian klinik besalin. Metode Fuzzy AHP non-additive didalam penilaian tingkat konsistensi dilakukan pada setiap level struktur hirarki dan mampu mengakomodir ketidak konsistenan dalam penilaian.Kata Kunci— AHP(Analitycal Hierarchy Process), non-additive, TFN (Triangular Fuzzy Number), upper excepted value
Implementasi Sistem Pelacakan Kendaraan Bermotor Menggunakan Gps Dan Gprs Dengan Integrasi Googlemap
Get PDFAbstract— Vehicle tracking system using GPS and GPRS integration googlemap provide information that is maximized with the technology of GPS (Global Positioning System) receiver which can indicate the position of the vehicle with the map and the ability of the appointment of direction and position coordinates (x, y or latitude, longitude) textually and visual at any location. Vehicle tracking system is built using equipment GIS (Geographic Information System) and dedicated to smartphones which support Global Positioning System (GPS), as well as portable computers, using General Packet Radio Service (GPRS) as a connection to the internet. The hardware used is a smartphone that supports GPS with supporting tools used are GoogleMaps, Notepad + +, NetBeans IDE 6.5.1, Mysql, Java (J2ME), PHP, JavaScript. The results of this system in the form of tracking system capable of monitoring the movement of vehicles on an ongoing position by utilizing GPS and GPRS as the sender of the wireless data and Internet connections. Keywords— GIS, GPS, GPRS, googlemaps, J2ME
Reversible Watermarking dengan Metode Modifikasi Histogram pada Difference Image
Get PDFAbstract— Reversible watermarking schemes are widely used to maintain the authenticity of the digital image. This research will discuss a method on histogram modification of difference image in which the difference image is created from the difference value of adjacent pixels of the image grayscale. Embedding process begins by dividing the host image and watermark into b blocks, followed by making a difference image of the host image block. From the difference image histogram, determine the peak value, and modify the histogram based on the peak value. Then, insert each block of the watermark to the difference image that has been modified and transform back into the grayscale image.Extraction and recovery process is the inverted version of the embedding stage. This process begins by dividing the watermarked image into b blocks, followed by making a difference image of each block. Then, extract the data and shift difference image histogram using a peak value. That difference image is transformed back into a grayscale image. Experimental results demonstrate that the average insertion capacity is 14% greater than Xue's with PSNR value over 48 dB for 4 x 4 pixels and 23 % greater with PSNR over 46 dB for 8 x 8 pixels. From the comparison of robustness to line and salt n’ pepper on the density of 0.05 noises is obtained that the watermark with ECC is more robust than a watermark without ECC. JPEG compression in lossless mode may be applied to the watermarked image. Multiple insertion of watermark can be done with the consequence that the more insertions will result in lower PSNR values.Keywords—difference image, histogram modification, reversible watermarkin
A New Approach of Fuzzy-Wavelet Method’s Implementation in Time Series Analysis
Get PDF Abstract— Recently, many soft computing methods have been used and implemented in time series analysis. One of the methods is fuzzy hybrid model which has been designed and developed to improve the accuracy of time series prediction. Popoola has developed a fuzzy hybrid model which using wavelet transformation as a pre-processing tool, and commonly known as fuzzy-wavelet method. In this thesis, a new approach of fuzzy-wavelet method has been introduced. If in Popoola’s fuzzy-wavelet, a fuzzy inference system is built for each decomposition data, then on the new approach only two fuzzy inference systems will be needed. By that way, the computation needed in time series analysis can be pressed. The research is continued by making new software that can be used to analyze any given time series data based on the forecasting method applied. As a comparison there are three forecasting methods implemented on the software, i.e. fuzzy conventional method, Popoola’s fuzzy-wavelet, and the new approach of fuzzy-wavelet method. The software can be used in short-term forecasting (single-step forecast) and long-term forecasting. There are some limitation to the software, i.e. maximum data can be predicted is 300, maximum interval can be built is 7, and maximum transformation level can be used is 10. Furthermore, the accuracy and robustness of the proposed method will be compared to the other forecasting methods, so that can give us a brief description about the accuracy and robustness of the proposed method. Keywords— fuzzy, wavelet, time series, soft computin
Klasifikasi Varietas Tanaman Kelengkeng Berdasarkan Morfologi Daun Menggunakan Backpropagation Neural Network dan Probabilistic Neural Network
Get PDFPengenalan daun memainkan peran penting dalam klasifikasi tanaman dan isu utamanya terletak pada apakah fitur yang dipilih stabil dan memiliki kemampuan yang baik untuk membedakan berbagai jenis daun. Pengenalan tanaman berbantuan komputer merupakan tugas yang masih sangat menantang dalam visi komputer karena kurangnya model atau skema representasi yang tepat. Fokus komputerisasi pengenalan tanaman hidup adalah untuk mengukur bentuk geometris berbasis morfologi daun. Informasi ini memainkan peran penting dalam mengidentifikasi berbagai kelas tanaman. Pada penelitian ini dilakukan pengenalan jenis tanaman berdasarkan fitur yang menonjol dari daun seperti fisiologis panjang (physiological length), lebar (physiological width), diameter, keliling (leaf perimeter), luas (leaf area), faktor mulus (narrow factor), rasio aspek (aspect ratio), factor bentuk (form factor), rectangularity, rasio perimeter terhadap diameter, rasio perimeter panjang fisiologi dan lebar fisiologi yang dapat digunakan untuk membedakan satu sama lain. Berdasarkan hasil pengujian, ditunjukkan bahwa hasil pencocokkan daun kelengkeng dengan menggunakan neural network lebih baik dibandingkan dengan hasil pencocokkan daun kelengkeng dengan menggunakan probabilistic neural network. Akan tetapi ekstraksi fitur dengan menggunakan morfologi belum dapat memberikan informasi pembeda yang signifikan bagi pengenalan tanaman varitas kelengkeng berdasarkan daunnya.Keywords— klasifikasi, morfologi daun, neural network, probabilistic neural networ
Implementasi Metode Fuzzy TOPSIS untuk Seleksi Penerimaan Karyawan
Get PDFAbstract —An emerging institution would continue to need qualified workers to produce good performances. Seeing the importance of high quality employees, the candidate selection process became an important part and should be performed promptly. It is also important to have candidates with desirable criteria fit to the institution. Many proposed methods can be adapted to help employee selection process based on criteria. This research propose an employee selection system based on Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, because the proposed method capable to deal with multi dimensional problems in employees selection. The system will produce ranks that can be used to help the hiring decision. This research also compares the results from TOPSIS method and WPM method. The comparison result shows that both methods produce the same ranks for the chosen candidates.Keywords— Fuzzy TOPSIS, WPM, Employee Selection
Rancang Bangun Fault Tolerance pada Sistem Database untuk Aplikasi Point Of Sale
Get PDFAbstract— A fault tolerant system is a system that has the ability to be able to continue its jobs properly although there is a fault in hardware or software of the system. A system that has a fault tolerant capability is usually critical or important system. For example is at Point Of Sale application. Point Of Sale Application has evolved from offline-based toward online-based. With an online-based, the existence of a central database server must be guaranteed free from failure.To get a central database server that is free from failure is impossible. Something that can be cultivated is to create a system that can tolerate a failure in the central database server. This is done with the help of a second central database server (slave), which is useful as a replication of the central database server (master). To ensure data from these two central database servers are the same, then used the concept of reading and writing "read one/write all". And to manage all the processes needed in implementing a fault tolerant application, we need the help from a coordinator.The result obtained in this research is a design of fault tolerant architecture that can be applied to various types of information system applications include Point Of Sale application. By using this fault tolerant architecture that has been built, Point Of Sale application can still run the transaction process even if there is a failure in accessing data in one central database server (master/slave). Keywords— fault tolerance, database system, point of sale applicatio
Aplikasi Sistem Pendukung Keputusan Distribusi Air Bersih dengan Fuzzy Integer Transportation
Get PDFAbstrak— Kebutuhan air bersih di kota-kota berkategori urban semakin lama semakin meningkat, sementara produktivitas air menurun disebabkan oleh berbagai alasan. Persoalan yang harus dipecahkan adalah bagaimana agar distribusi air ke tujuan berjalan secara simultan, yakni antara supply air dengan demand pelanggan ditengah minimnya anggaran biaya. Perlu dicari keputusan bagi perencanaan distribusi yang baik untuk mengalokasikan air, dari sejumlah sumber air menuju sejumlah tujuan (kota). Oleh karena itu, diperlukan sistem terkomputerisasi yang memiliki kemampuan dalam memberikan dukungan untuk pengambilan keputusan, maka perlu dirancang suatu sistem pendukung keputusan (SPK) yang dapat membantu manajemen distribusi air bersih. SPK ini mengimplementasikan Fuzzy Integer Transportation dengan nilai fuzzy supply, fuzzy demand dan fuzzy goal yang diekspresikan melalui bilangan fuzzy. Tabel transportasi dipakai untuk mempermudah pemodelan nilai supply dan demand yang ber-interval. Sebuah algoritma khusus digunakan agar dapat menghasilkan solusi integer yang optimal sehingga dapat meningkatkan efisiensi pencarian. Selain itu pemecahan masalah distribusi ini memakai pendekatan Vogel’s Approximation Method (VAM), memberikan solusi yang feasible bagi total biaya distribusi. Output sistem adalah total biaya distribusi dan jumlah air yang didistribusikan ke masing-masing tujuan. Kata Kunci— Sistem Pendukung Keputusan, Fuzzy Integer Transportation, VA