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Journal Cover MATICS
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  This is an Open Access Journal Open Access journal
   ISSN (Print) 1978-161X - ISSN (Online) 2477-2550
   Published by UIN Maulana Malik Ibrahim Malang Homepage  [9 journals]
  • Cover and Table of Contents

    • Authors: Admin Journal
      Abstract: Cover and Table of Contents
      PubDate: 2016-09-09
      Issue No: Vol. 8, No. 2 (2016)
       
  • Analisa Penempatan Kamera CCTV Menggunakan Metode Simple Additive
           Weighting (SAW) Untuk Smart Monitoring

    • Authors: Gianto Widodo, Rahmadwati ., Purnomo Budi Santoso, Fachrul Kurniawan
      Pages: 44 - 47
      Abstract: Abstract-monitoring technology is an area or region now is
      growing rapidly, this refers to the interest to be used.
      Closed Circuit Television (CCTV) is a type of camera that
      was used for the supervisor of the building or room, but it
      can also be used to monitor the condition of congestion and
      road conditions. The problems are the installation of
      CCTV is not always right on target because it is only
      installed for trend following, without looking at the
      conditions that will be installed, so it becomes less than
      optimal. Many of the problems in need of supervision by
      the Government. Problems such as road density, accidentprone area, business area, area schools, parking area and
      population density at the location of the road is a problem
      that requires supervision. In order for the supervision can
      be done with the optimal technological devices are used
      then the information and communication technology, the
      utilization for surveillance of a region commonly referred
      to with the Smart Monitoring, the device that can be used
      is CCTV. In order to target the right CCTV installation
      requires a calculation and analysis of the right against the
      conditions of the point to be fitted, to allow the installation
      of CCTV can be right on target and not just follow the
      trend of development of the technology. Many of the
      problems that have to be analyzed before the installation
      of CCTV, to find the solution of many problems, this
      research using methods MCDM method Simple Additive
      Weighting (SAW). Based on the results of the calculation
      of 40 data points of observation in the city of XYZ with 10
      categories, problems and preferences 3 weights used
      produce a value Vi maximum 4 point, and that point is
      recommended for CCTV installed.
      Keywords: SAW, CCTV
      PubDate: 2016-09-09
      Issue No: Vol. 8, No. 2 (2016)
       
  • Perancangan Decision Support System Penilaian Kinerja Dosen Berdasarkan
           Penilaian Prestasi Kerja Pegawai dan Beban Kinerja Dosen

    • Authors: Rizal Furqan Ramadhan, Herman Tolle, Muhammad Aziz Muslim
      Pages: 48 - 53
      Abstract: The lecturer is one of the essential
      components in the Higher Education system. Performance
      assessment of lecturer needs to be conducted to measure
      the lecturer capability based on the Tri Darma’s Higher
      Education concept. Related to the nowadays technology
      development, to conduct performance assessment of
      lecturer can use the Decision Support System based on
      several criteria as the assessment material. The provided
      criteria in this paper seem to be the obtained criteria from
      P2KP and BKD component. P2KP is performance
      assessment of lecturer under the Badan Kepegawaian
      Negara (BKN) supervision. Meanwhile BKD is
      performance assessment of lecturer under the DIKTI
      supervision. The lecturer criteria are taken from those two
      components because the lecturers’ status cannot be
      separated from the officer under BKN and educator under
      the DIKTI support. It is expected that the criteria coming
      from both components integration will be able to produce
      performance assessment of lecturer objectively. The
      method to proceed the assessment was Weighted Product
      (WP). The examined data of the lecturers were the
      Brawijaya University lecturers’ data. The final
      examination data was conducted by taking the data
      randomly from 20 Brawijaya University lecturers. The
      final output from this Decision Support System is the
      lecturers which are selected from three categories, which
      are, less, normal, and good. It is expected that Decision
      Support System is able to categorize the standard eligible
      lecturer (Normal/medium category), and the lecturer
      surpassing the standard (good category).

      PubDate: 2016-09-09
      Issue No: Vol. 8, No. 2 (2016)
       
  • Mengukur Performa Enterprise Architecture Framework Menggunakan Fuzzy
           Tsukamoto

    • Authors: Fakri Fandy Nur Azizi
      Pages: 54 - 58
      Abstract: Enterprise Architecture (EA) adalah deskripsi dari misi stakeholder yang menggambarkan rencana pengembangan sebuah sistem atau sekumpulan sistem untuk mencapai sebuah misi organisasi melalui performansi optimal dari proses bisnis dalam sebuah lingkungan TI yang efisien. Untuk bisa menerapkan EA dalam sebuah organisasi, dibutuhkan kerangka kerja yang bersifat fundamental dan satu set alat pendukung yang digunakan untuk mengembangkan suatu EA. Pengukuran performa EA framework dirasa perlu, untuk mengetahui EA framework yang applicable pada kondisi saat ini.  Sehingga dibutuhkan sebuah decision support untuk membantu memilih EA framework berdasarkan kriteria penilaian dari sisi artifact, governance, strategy, consistency, requirement, guidelines, dan continual. Pada makalah ini dibahas pembuatan decission support system untuk mengukur performa EA framework menggunakan Sistem Inferensi Fuzzy Tsukamoto. Parameter yang digunakan untuk batasan fungsi keanggotaan fuzzy berdasarkan data yang diperoleh dari pakar yaitu artifact, governance, strategy, consistency, requirement, guidelines, dan continual. Akurasi sistem dihitung berdasarkan hasil perbandingan dari keluaran sistem dengan hasil penilaian pakar.
      PubDate: 2016-09-09
      Issue No: Vol. 8, No. 2 (2016)
       
  • Identifikasi Pola Penggunaan Lahan pada Sektor Perikanan dan Peternakan
           Berbasis Sistem Informasi Geografis

    • Authors: Karina Auliasari, Thesalonika Nameta Agustine
      Pages: 59 - 63
      Abstract: Monitoring and evaluation the quantity of the three sectors, agriculture, livestock and fisheries is conducted independently by each local government through the statistics and annual reports. But the development of information fishery and livestock sectors served from annual reports and statistical results have not been able to provide geographic information systems commodities in each district. The results of the development of the geographic information systems indicates that the category feature helps the user to view a visualization mapping fisheries sector and livestock commodities. Based on the visualization mapping analysis results, fisheries sector shows that six of the districts in Barito Utara that has not only a maximum production of fish from the river and three sub-categories of the category of the lake. For the results of visualization mapping livestock sector analysis in cattle category shows that six districts (Lahei, Teweh Tengah, Teweh Timur, Montalat, Gunung Timang and Gunung Purei) is able to fulfill the food needs of beef as a whole districts.
      PubDate: 2016-11-22
      Issue No: Vol. 8, No. 2 (2016)
       
  • Implementasi Manajemen Bandwidth Dengan Disiplin Antrian Hierarchical
           Token Bucket (HTB) Pada Sistem Operasi Linux

    • Authors: Muhammad Nugraha, Soffin Nahwa Utama
      Pages: 64 - 69
      Abstract: Important Problem on Internet networking is exhausted resource and bandwidth by some user while other user did not get service properly. To overcome that problem we need to implement traffic control and bandwidth management system in router. In this research author want to implement Hierarchical Token Bucket algorithm as queue discipline (qdisc) to get bandwidth management accurately in order the user can get bandwidth properly. The result of this research is form the management bandwidth cheaply and efficiently by using Hierarchical Token Bucket qdisc on Linux operating system were able to manage the user as we want.
      PubDate: 2016-09-09
      Issue No: Vol. 8, No. 2 (2016)
       
  • Penerapan Fitur Warna Untuk Identifikasi Plasmodium Falciparum pada
           Sediaan Apus Darah Menggunakan MK-Means dan Jaringan Backpropagation

    • Authors: mustamin hamid
      Pages: 70 - 75
      Abstract: Abstract - This research proposed a system to identify Plasmodium falciparum on blood smear  using the neural network  backpropagation. Modified K-Means (MK-Means) is used to separate between the object with the background image because that method was able to equalize the value of fitness at all Center cluster so there is no dead center and can also cope with the local minimum value. The extraction of the features used in this study consists of color features i.e. calculation of the mean, standard deviation, skewness, curtosis and entropy of co-occurent matrix with the purpose to get the values of all the trait value image, obtained are then used to train a neural network with the backpropagation training algorithm. Method of backpropagation networks capable of acquiring knowledge even though there is no certainty, able to perform a generalization and extraction of a specific data pattern.                        The image of  the preparations  blood smear  are classified using the method of  neural network Backpropagation. The test results obtained from Tropozoit with the accuracy 100%, scizon 80% and gametocytes 80%. Identification is then obtained outcomes the introduction with an average accuracy of 86,66%.
      PubDate: 2016-09-09
      Issue No: Vol. 8, No. 2 (2016)
       
  • KLASIFIKASI DAN IDENTIFIKASI JUMLAH KOLONI PADA CITRA BAKTERI DENGAN
           METODE K-NEAREST NEIGHBOR

    • Authors: Ihsan Ihsan
      Pages: 76 - 80
      Abstract: Abstract – This study proposes a system for classification and counting the number of bacterial colonies using a photo image of bacteria. The system uses several image pretreatment process. Including Contrast Stretching, Extended-Maxima Transform, and Regionprops. The main purpose of this system is to determine the category of colonies of bacteria in large quantities can not be done manually. To build the algorithms necessary features must be determined such as diameter, perimeter and roundness method of determining the categories using KNN (K-Nearest Neighbor). As a results of this research is classify three types of bacteria such as Lactobacillus Bulgaricus, Streptococcus thermophiles, and bifidobakterium Precision with a percentage of 97,97% and 87,09% F-MeasureKeywords: Contrast Stretching, Lactobacillus, Regionprops, K-Nearest Neighbor
      PubDate: 2016-09-09
      Issue No: Vol. 8, No. 2 (2016)
       
  • Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference
           System (ANFIS)

    • Authors: Khadijah Fahmi Hayati Holle
      Pages: 81 - 84
      Abstract: The number of uncertain risk factor in heart disease makes experts difficult to diagnose its disease. Computer technology in the health field is mostly used. In this paper, we implement a system to diagnose heart disease. The used method is Adaptive neuro-fuzzy inference system which combine the advantage of fuzzy and neural network. The used data is UCI Cleveland data that have 13 attributes as inputs. Output system diagnosis compared with observational data for evaluation. System performance tested by calculating accuracy. Tests were also conducted on the variation of the learning rate, iteration, minimum error, and the use of membership functions. Accuracy obtained from test is 65,657% where using membership function Beta.
      PubDate: 2016-09-09
      Issue No: Vol. 8, No. 2 (2016)
       
 
 
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