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Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
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Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian dan memberikan kontribusi yang berarti untuk meningkatkan sumber daya penelitian dalam Teknologi Informasi dan Ilmu Komputer.
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Articles 10 Documents
Search results for , issue "Vol 1 No 3 (2017): Maret 2017" : 10 Documents clear
Analisis Fail Path Pada Arsitektur Software Defined Network Menggunakan Dijkstra Algorithm Eka Putri Aprilianingsih; Rakhmadhany Primananda; Aswin Suharsono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Software Defined Network is a new concept that is used to fix traditional network's issues by making the separation between the control plane and the data plane in many different network devices vendor. The communication between control plane and data plane use the OpenFlow Protocol. SDN has some abilitiesin many network technology methods, and has been widely implemented such as network routing. There are some problems in routing, for example is file path. When there is a fail path arises, the system will look for another shortest paths by using Dijkstra Dlgorithm. Dijkstra Algorithm will be implemented using SDN then will be analyzed. Implementation uses a mesh topology and Pyretic as the controller. Then algorithms will be tested with 3 scenarios. In these scenarios, there are 4 tests: the testing topology, throughput, latency and convergence. Tests conducted topology to generate the shortest path. Scenario 1, is h1, h4, h3, h7 with cost 10. Scenario 2, is h1, h2, h3, h7 with cost 13. Scenario 3, is h1, h4, h6, h7 with cost 18. The purpose of throughput testing is to count packets arrive at the destination side. Scenario 1 had maximum throughput at 12.0 Gbits / sec. Scenario 2 is 9.56 Gbits / sec. Scenario 3 is 9.68 Gbits / sec. Latency test is to calculate the time taken from a package to its destination. Scenario 1 produced the highest latency at 0.162ms. Scenario 2 is 0.190ms. Scenario 3 is 0.150ms. Convergence test is to determine the changes in the time required when fail path. Scenario 1 has no file path so there were no results in convergence. Scenario 2 is 2.009ms. Scenario 3 is 3.01ms.
Implementasi Mobile Augmented Reality Pada Aplikasi Pemilihan Sarana Dan Prasarana Laboratorium Sekolah Menengah Atas Dimas Setyo Utomo; Issa Arwani; Wibisono Sukmo Wardhono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Augmented Reality (AR) is a technology with a lot of potentials. AR could bring a lot of advantages in many different fields such as entertainment, design or military. This technology also possibly used as a new design approach for interior design as virtual objects such as furniture displayed in a real-world environment on the screen. This study took up in an institution like public school specifically for school laboratory. This study will also add the use of Head Mounted Display (HMD) such as Google Cardboard for better user experience. The objects were designed and shown in 3D with a certain standard for public high school laboratory. Plus, the object's material can be changed through Google Cardboard's view.
Deteksi Tepi Danau Pada Citra Satelit Menggunakan Metode Canny Koko Pradityo; Budi Darma Setiawan; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Lake is an important land feature for human life. Changes in a lake's condition would affect the environment and the people living nearby. One of the method being used to detect changes in lake's condition is by using an edge detection of the lake based on satellite image for further analysis such as measuring the change in lake's total area. Appropriate implementation and optimization of such algorithm can lead to a better analysis of the lake's condition. In this research, the system implemented Canny Edge Detection algorithm to detect the edge of a lake on a satellite image. A segmentation algorithm based on color thresholding is used to improve the edge detection algorithm. The test result shows that Canny Edge Detection algorithm has 57% error detection rate, while segmentation process using color thresholding improves the detection performance by 67%.
Rancang Bangun Sistem Sortir Buah Apel Menggunakan Sensor Warna Dan Sensor Suhu Mohammad Fauzin Amin; Sabriansyah Rizqika Akbar; Edita Rosana Widasari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of science and technology makes the quality of human life is growing, the processing industry and agricultural estates are also growing rapidly. One of the stages in the processing of agricultural products and plantations is the selection of products based on quality, such as fruit maturity level. The process of selecting agricultural products and plantations is highly dependent on the human perception of the fruit color composition factor. Apple is one type of fruit that is very popular and is often consumed by the community, both from the young to the old. Apples also contain vitamins needed by the human body, including vitamins A, B1, and C. So, it can be said that apples are a very popular fruit because the benefits are very abundant. But apple lovers are often confused in terms of choosing apples that have ripe maturity. Sometimes apple entrepreneurs still use the manual way to distinguish the maturity of apples, while the way that is done by the tenega man is often inaccurate and different in its determination. The difference is due to differences in perceptions on everyone. Therefore built a tool that can make the selection of apples based on quality, especially color automatically. So that will be able to produce a more accurate grouping of apples, which further simplify the packaging process and also save time, effort and cost. Design This tool uses RGD LDR and DHT11 as sensors to read the maturity of apples. RTC 1307 is used as a timer to send data from sensor, arduino nano as microcontroller and NRF24L01 as a data transmission device between two transmitter nodes and receiving node.
Perancangan Sistem Pemetaan Ruangan Secara Dua Dimensi Menggunakan Sensor Ultrasonik Ricky Prasetya Santoso; Wijaya Kurniawan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Mapping a location is the means used to obtain information from a point at somewhere dangerous or difficult to reach because of the great safety and accidents that can be experienced when seeking information itself is the direct human contact with the dangerous conditions. For that we need a device that can replace humans as subjects to search for an object at a point. Tools designed and realized in this thesis is used to map the room that the results can be viewed on a computer screen in the form of two-dimensional map space. This device consists of an Arduino Uno, HC-SR04 ultrasonik and dc motors. Based on the analysis of the results of system testing performed, the mapping system works well is able to visualize the location of a box in accordance with the previously arranged with an average of 93,1% accuracy of the system
Deteksi Autisme pada Anak Menggunakan Metode Modified K-Nearest Neighbor (MKNN) Zahra Swastika Putri; Rekyan Regasari Mardi Putri; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Autism is a childhood and developmental disorder that characterized by lack of communication, cognition, imagination and social interaction activities. Many people didn't recognize the symptoms of autism disorder until the first three or seven years of life. Delay, similarities of symptoms and lack of knowledge about autism cause imprecision treatment handling, and increased number of sufferers. Identification of autism differentiated into severe autism, moderate autism, mild autism and non- autism. Modified K-Nearest Neighbor (MKNN) method is a method that enhancing performance of conventional K-Nearest Neighbor method. There're validity of the train data process and weight voting process to robust neighbors of training dataset and strengthen the performance results. Based on variant value of k testing obtained 83.33% accuracy at dissimilarity measure. Based on composition of balance training data testing obtained 90% accuracy at euclidean distance. Based on amount of training data testing obtained 79.17% average accuracy. Based on variation of training data testing obtained 83.33% accuracy at dissimilarity measure. Based on results of such testing accuracy, pointed out that the detection of children's autism using MKNN method have a pretty good degree of accuracy and capable to classify and detection the autism symptoms based on perceived symptoms user input.
Rancang Bangun Low Power Sensor Node Menggunakan MSP430 Berbasis NRF24L01 Rizky Putra Pratama; Sabriansyah Rizqika Akbar; Adhitya Bhawiyuga
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Communication technology is now very grown even more with their wireless technology. This technology is very popular due to their ability to transmit data or information wirelessly. One of the utilization of wireless technology is the Wireless Sensor Network. In the Wireless Sensor Network, the data transmission between sensor nodes is highly dependent on the power source in the form of batteries which have a limited capacity, this can cause problems because the sensor nodes are required to be able to survive as long as possible. To overcome the problem of resource savings, research on low-power mode in Wireless Sensor Network technology that is by applying the mechanism of sleep mode at the sensor node that resources can the battery last longer. In accordance with the above problems, the author makes the design of sensor nodes using MSP430 microcontroller which will regulate all the processes on the node, including regulating the use sleep mode as a way of saving power supply. For data transmission, the system uses NRF24L01 as communication modules. The data is sent in the form of calculation of the temperature of the LM35 temperature sensor. The results of the study in terms of the use of power-saving sleep mode can be used by the nodes. This is evidenced by the saving power used by the nodes without using sleep mode with nodes that use sleep mode reaches 33.31%. The accuracy of data transmission in this study was divided into two, the data transmission without hindrance average accuracy of data transmission up to 100%. While the data transmission with the hindrance an average accuracy of the data transmission only reached 87.7%.
Analisis Perbandingan Penetration Testing Tool Untuk Aplikasi Web Bhaskara Vito Tarigan; Ari Kusyanti; Widhi Yahya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Penetration testing is a series of activities undertaken to identify and exploit security vulnerabilities. This helps confirm the effectiveness or ineffectiveness of security measures that have been implemented. This paper discusses the methodology in conducting penetration tests with a third tool penetration test is w3af, wapiti, and arachni. Penetration testing methodology includes three phases: test preparation, test and analysis test. Pilot phase involves the following steps: vulnerability analysis, information collection and analysis tool. This paper portrait is more to mengananlisa comparison tool that determines the penetration test and find out attacks anywhere that can be detected from the three tools that have been tested on existing vulnerabilities in web applications.
Analisis Perbandingan Performa Routing Flooding dan Convergecast Pada Wireless Sensor Network Syifaul Hud'riyah; Rakhmadhany Primananda; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wireless Sensor Network is a collection of a number of nodes arranged in a network. Some types of routing algorithms used in Wireless Sensor Network among its Flooding and Convergecast. Flooding is a routing protocol in wireless sensor networks that use random packet Broadcast on a network. Convergecast is a mechanism for displaying the data flow from many different source nodes to the base station node with a short time. In this study a comparison between routing Flooding with routing Convergecast. This comparison is aimed to find out where routing is better to transmit data. Then to determine the performance of the routing is done testing with some of the parameters used. These parameters are the average backoff, power consumption, latency, frame and number Tx Rx frames. The number of nodes used in testing are 5, 10, 15, 20 and 25. In the testing that was done routing Flooding as much as 5, 10, 15, 20, 25, a mobile node has a backoff value with the average value of 0.0034 ms represents the best and the value of backoff protocol has a value of 0.0024 ms Convergecast. Convergecast Flooding protocol and has a value of power consumption with the average value of the same is 94.1 mW. To value is best latency routing Convergecast with an average value of 0.022 ms while routing Flooding average value of 0,015 ms. For the value of Tx frame number is best routing Convergecast with an average value of 6.8 ms and for routing Flooding with an average value of 1.0 ms. While the value of the frame number Rx is best routing Convergecast with an average value of 15.4 ms routing Flooding with an average value of 2.8 ms
Sistem Optimasi Rute Tempat Wisata Kuliner Di Malang Menggunakan Algoritma Bee Colony Muhammad Arif Hermawan; Nurul Hidayat; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 3 (2017): Maret 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The number of culinary attractions in Malang that can be reached makes it difficult for culinary lovers to find the optimum route, in terms of distance, time, and cost to travel from one place to another. One of the factor that influence people's when they did culinary tour is the transportation fees. A thing that is very relate with transportation is the distance. Many culinary lovers feel like they have wasting their time to get to the place they want because they choose the wrong routes. Since Malang has so many culinary attractions, it takes optimization in searching the optimum route from starting point to the destination point. The bee colony algorithm was chosen because the algorithm is considered to have the ability to exit local minimum and can be efficiently used for optimization. Bee colony algorithm also can solve the problem of Traveling Salesman Problem better than other algorithm which is also based on group intelligence. At the experiment we can conclude that bee colony algorithm has converged in the search for the best solution that can be seen from the fitness resulted. One of the best have been convergence in bee colony at 20 of 50 bee colony amounts. In addition the convergence can also be seen on the number of iterations at 20 of the maximum number of iterations 50.

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