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Deny Zainal Arifin
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matics@uin-malang.ac.id
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Jurusan Teknik Informatika Fakultas Sains dan Teknologi Universitas Islam Negeri Maulana Malik Ibrahim Malang Jalan Gajayana 50 Malang, Jawa Timur, Indonesia 65144
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MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology)
Published by Universitas Islam Negeri Maulana Malik Ibrahim Malang
ISSN : 1978161X     EISSN : 24772550     DOI : https://doi.org/10.18860/mat
Core Subject : Science,
Computer Science & IT
MATICS is a scientific publication for widespread research and criticism topics in Computer Science and Information Technology. The journal is published twice a year, in March and September by Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Maulana Malik Ibrahim Malang, Indonesia. The journal publishes two regular issues per year in the following areas : Algorithms and Complexity; Architecture and Organization; Computational Science; Discrete Structures; Graphics and Visualization; Human-Computer Interaction; Information Assurance and Security; Information Management; Intelligent Systems; Networking and Communication; Operating Systems; Platform-Based Development; Parallel and Distributed Computing; Programming Languages; Software Development Fundamentals; Software Engineering; Systems Fundamentals; Social Issues and Professional Practice.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 8 Documents
 1 
Search results for , issue "Vol 8, No 2 (2016): MATICS" : 8 Documents clear
Diagnosis Penyakit Jantung Menggunakan Adaptive Neuro-Fuzzy Inference System (ANFIS) Holle, Khadijah Fahmi Hayati
MATICS Vol 8, No 2 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.998 KB) | DOI: 10.18860/mat.v8i2.3537

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.
Mengukur Performa Enterprise Architecture Framework Menggunakan Fuzzy Tsukamoto Nur Azizi, Fakri Fandy
MATICS Vol 8, No 2 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (719.014 KB) | DOI: 10.18860/mat.v8i2.3557

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.
Analisa Penempatan Kamera CCTV Menggunakan Metode Simple Additive Weighting (SAW) Untuk Smart Monitoring Widodo, Gianto; ., Rahmadwati; Santoso, Purnomo Budi; Kurniawan, Fachrul
MATICS Vol 8, No 2 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (238.606 KB) | DOI: 10.18860/mat.v8i2.3782

Abstract

Abstract-monitoring technology is an area or region now isgrowing rapidly, this refers to the interest to be used.Closed Circuit Television (CCTV) is a type of camera thatwas used for the supervisor of the building or room, but itcan also be used to monitor the condition of congestion androad conditions. The problems are the installation ofCCTV is not always right on target because it is onlyinstalled for trend following, without looking at theconditions that will be installed, so it becomes less thanoptimal. Many of the problems in need of supervision bythe Government. Problems such as road density, accidentprone area, business area, area schools, parking area andpopulation density at the location of the road is a problemthat requires supervision. In order for the supervision canbe done with the optimal technological devices are usedthen the information and communication technology, theutilization for surveillance of a region commonly referredto with the Smart Monitoring, the device that can be usedis CCTV. In order to target the right CCTV installationrequires a calculation and analysis of the right against theconditions of the point to be fitted, to allow the installationof CCTV can be right on target and not just follow thetrend of development of the technology. Many of theproblems that have to be analyzed before the installationof CCTV, to find the solution of many problems, thisresearch using methods MCDM method Simple AdditiveWeighting (SAW). Based on the results of the calculationof 40 data points of observation in the city of XYZ with 10categories, problems and preferences 3 weights usedproduce a value Vi maximum 4 point, and that point isrecommended for CCTV installed.Keywords: SAW, CCTV
Implementasi Manajemen Bandwidth Dengan Disiplin Antrian Hierarchical Token Bucket (HTB) Pada Sistem Operasi Linux Nugraha, Muhammad; Utama, Soffin Nahwa
MATICS Vol 8, No 2 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (665.239 KB) | DOI: 10.18860/mat.v8i2.3558

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.
Perancangan Decision Support System Penilaian Kinerja Dosen Berdasarkan Penilaian Prestasi Kerja Pegawai dan Beban Kinerja Dosen Ramadhan, Rizal Furqan; Tolle, Herman; Muslim, Muhammad Aziz
MATICS Vol 8, No 2 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (629.739 KB) | DOI: 10.18860/mat.v8i2.3555

Abstract

The lecturer is one of the essentialcomponents in the Higher Education system. Performanceassessment of lecturer needs to be conducted to measurethe lecturer capability based on the Tri Darma’s HigherEducation concept. Related to the nowadays technologydevelopment, to conduct performance assessment oflecturer can use the Decision Support System based onseveral criteria as the assessment material. The providedcriteria in this paper seem to be the obtained criteria fromP2KP and BKD component. P2KP is performanceassessment of lecturer under the Badan KepegawaianNegara (BKN) supervision. Meanwhile BKD isperformance assessment of lecturer under the DIKTIsupervision. The lecturer criteria are taken from those twocomponents because the lecturers’ status cannot beseparated from the officer under BKN and educator underthe DIKTI support. It is expected that the criteria comingfrom both components integration will be able to produceperformance assessment of lecturer objectively. Themethod to proceed the assessment was Weighted Product(WP). The examined data of the lecturers were theBrawijaya University lecturers’ data. The finalexamination data was conducted by taking the datarandomly from 20 Brawijaya University lecturers. Thefinal output from this Decision Support System is thelecturers which are selected from three categories, whichare, less, normal, and good. It is expected that DecisionSupport System is able to categorize the standard eligiblelecturer (Normal/medium category), and the lecturersurpassing the standard (good category).
Penerapan Fitur Warna Untuk Identifikasi Plasmodium Falciparum pada Sediaan Apus Darah Menggunakan MK-Means dan Jaringan Backpropagation hamid, mustamin
MATICS Vol 8, No 2 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.865 KB) | DOI: 10.18860/mat.v8i2.3730

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%.
KLASIFIKASI DAN IDENTIFIKASI JUMLAH KOLONI PADA CITRA BAKTERI DENGAN METODE K-NEAREST NEIGHBOR Ihsan, Ihsan
MATICS Vol 8, No 2 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.263 KB) | DOI: 10.18860/mat.v8i2.3723

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
Identifikasi Pola Penggunaan Lahan pada Sektor Perikanan dan Peternakan Berbasis Sistem Informasi Geografis Auliasari, Karina; Agustine, Thesalonika Nameta
MATICS Vol 8, No 2 (2016): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (590.131 KB) | DOI: 10.18860/mat.v8i2.3590

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.

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