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INDONESIA
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Published by Universitas Brawijaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering
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.
Arjuna Subject : -
Articles 6,850 Documents
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Implementasi Switch Openflow Berbasis Software Dengan Memanfaatkan Raspberry Pi Untuk Infrastruktur SDN Imam Santoso; Mochammad Hannats Hanafi Ichsan; Widhi Yahya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Software-Defined Networking (SDN) is a dynamic, manageable, adaptable and cost-efficient architecture. The Raspberry software-based openflow switch is currently untested, so it still can not be the right reference to replace dedicated openflow switch devices. This study aims to implement OpenvSwitch to be applied to Raspberries so as to make it an openflow switch that can be used within the SDN network and then test the performance of Raspi switches, throughput, packet loss and delay. The results obtained from this research that Raspberry openflow switches can be used to replace dedicated openflow switches on a small scale such as office scope but not for large scale companies like companies due to bandwidth limitation on USB to Ethernet adapters, as well as RAM from Raspberry. Based on the results of throughput testing, throughput will decrease as the number of clients increases. While based on packet loss test results, packet loss will increase significantly when the number of clients more than 3. Then based on delay testing, the first test has a longer delay compared to the next test, this is because in the first ICMP (ping) packet, the ARP process occurs while in the second and so on does not do the ARP process because the information about ARP already exists in the ARP cache.
Pengembangan Aplikasi Manajemen Informasi Sedekah Berbagi Makanan Berbasis Android Dengan Metode Rekayasa Perangkat Lunak Berorientasi Penggunaan Ulang Annisa Fitriani Nur; Agi Putra Kharisma; Tri Astoto Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Giving alms is one of the activities that is highly recommended in Islam. Giving alms could be done by giving money, goods, and food. One of the obstacles almsgiving is there's no adequate information about the detail of event will be held, such as time and place of the event. Therefore, these problem can be solved by an alms information management aplication. This application requires a maps viewer to show information about the location of the event, nearby location searching, and other components reuse. This application is using a software engineering method based on components reuse with component retrieval in its development. Method of components reuse consists of requirements analysis, components analysis, requirements modification, design with reuse, construction, and testing. This application is using UML (Unified Modeling Language) modeling language and Java programming language with Android SDK (Software Development Kit) in implementation. This application has been tested through the unit testing, integration testing, and validation testing. Unit testing and integration testing are using white-box approach then validation testing is using black-box approach.
Implementasi Load Balancing menggunakan Algoritme Least Connection dengan Agen Psutils pada Web Server Muhammad Sholeh; Widhi Yahya; Primantara Hari Trisnawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Social media and news sites are services on the Internet that are most visited by Internet users. These services are required to be able to handle very high traffic.. If the service uses a single web server, it can cause a Single Point of Failure. The solution for that problem is to use a method of load balancing. Load balancing is a method that can distribute traffic to multiple servers based on the algorithm used. This research develop the Least Connection algorithm for load balancing in the Software Defined Network (SDN). Least Connection is a load balancing algorithm that will direct traffic to web servers that have the least connection. This research uses an agent called Agent Psutils. This agent send information to SDN Controller about the number of active connections of web servers. From this information, SDN Controller can direct traffic to web servers that have the least connection. The results of the study show that the Least Connection algorithm with Agent Psutils can distribute traffic based on the number of active connections on server. Then, when comparing the Least Connection algorithm based on Agent Psutils (LC Agent Psutils) with Least Connection based on Expired Flow (LC Flow). LC Agent Psutils can send data measuring 1.2 GigaBytes while LC Flow cannot complete the data transmission process. At 400 requests, LC Agent Psutils have a smaller response time than Round Robin and LC Flow. Where the response time of the LC Agent Psutils is 242.51 ms, while the Round Robin and LC Flow are 261.61 ms and 279.81 ms.
Implementasi Jaringan IPv6 dan Constrained Application Protocol (CoAP) pada Sistem Monitoring Kualitas Air Muhammad Wingga Woggiasworo; Sabriansyah Rizqika Akbar; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of IoT in smart device network protocols that generally enable internet protocols. IPv6 will be able to communicate with smart devices because the address space is quite large. Limited networks 6LoWPAN has characteristics for unstable networks with low bit-rates, and low costs. Reflecting on the problem of water quality monitoring needs, the implementation of sensor-nodes based on 6LoWPAN and CoAP is expected to be able to overcome these problems. Protocol CoAP is a medium as web messages transfer protocol for limited environments (eg: low-power and unstable networks). Accuracy temperature sensors DS18B20 is 95.9%. The average accuracy of 91.61% for the pH sensor. And the photodiode sensor with a value range of 1% -20% for clear and 80% -100% value range for murky which is used to detect turbidity levels. 6LoWPAN network and CoAP protocol can minimize shipping errors because it provides protocol resources. Average delay and packet loss 6LoWPAN network based on packet size of 56 bytes and 128 bytes is 13.4 ms and 20.1 ms with packet loss rate is 0% and 0% in distance of 5 meters. For the farthest distance of 40 meters, average delay is 30.8 ms and 39.7 ms with packet loss rate is 31%; 57% based on packet size 56 bytes and 128 bytes. Message delivery performance between nodes based on 6LoWPAN and CoAP gets a delivery time of 13.417 seconds for the distance 45 meters and 1.331 seconds for the distance of 5 meters.
Sistem Diagnosis Penyakit Pada Sapi Potong Menggunakan Metode Bayesian Network Greviko Bayu Kristi; Nurul Hidayat; Edy Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Cattle are animals that have a lot of economic potential. Diseases of cattle can be spread quickly, and can make the cattle dead. Diseases of cattle can be caused by bacteria, viruses, fungi, and parasites. To prevent diseases of cattle is not continues, the farmers of cattle must know about diseases in animal cow, so it can do the prevention and treatment as early as possible. To diagnosis which diseases that attack cattle, it is necessary to build an diagnosis systems. This diagnosis on diseases of cattle is using Bayesian Network method. The diagnosis process is done by entering the facts of the symptoms on cattle and then calculated by using Bayesian Network. The result of this system is the diagnosis of diseases that attack the cattle with the recommendation of its control solution. Based on the results of the test that coducted in this study resulted an accuracy of 93.33%, so it can be concluded this expert system to diagnosis diseases on cattle using Bayesian Network is able to work well.
Pengenalan Wajah dengan Pose Unik menggunakan Metode Learning Vector Quantization Achmad Dinda Basofi Sudirman; Yuita Arum Sari; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The face is one of the characteristics of human natural physiology that can be used for biometric identification for facial recognition. Face recognition is an alternative to systems such as presence and authentication. Nowadays there are so many companies or researchers to create a system that can recognize people's faces, but there is still a face recognition system that can be tricked by showing people who have been recognized by the system in the system's camera area, even though people who are actually recognized by the system are not in the area that. This research will utilize the LVQ method for classification or facial recognition because it is well proven in face recognition conducted by previous research. Feature extraction is used in the form of skin image taking with HSV color space because HSV color space is better at detecting skin images according to existing research. The unique face image or pose used consists of 3 different eye poses to improve the safety of face recognition. In 10 different test scenarios, the results of this study have an average accuracy of 81.3%. However, the system still cannot distinguish each pose from the existing data.
Identifikasi Jenis Attention Deficit Hyperactivity Disorder (ADHD) Pada Anak Usia Dini Menggunakan Metode Modified K-Nearest Neighbor (MKNN) Rizky Nur Ariyanti; Indriati Indriati; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Growth and development in early childhood certainly affects how a child is when reaching adulthood both in terms of mental, physical, and intelectual. In the development phase of course not all children experience normal development, there may be a developmental disorder. One developmental disorder that is often experienced in early childhood is ADHD (Attention Deficit Hyperactivity Disorder). For ADHD itself there are three types, among others Inattention, Impulsive, and Hyperactivity. In this research will be identification type of ADHD based on symptoms that appear by using method of classification of Modified K-Nearest Neighbor (MKNN). MKNN method is one method of development of the KNN method, which distinguishes the MKNN there is a validity process and also weight voting of each type to be classified. In this study will be done type identification consisting of 4 types include Inattention, Impulsive, Hyperactivity, and Not ADHD. The results of this study indicate that MKNN method can identify ADHD type well when the data used is 80 data with 20 test data, K = 3 with 90% accuracy. In this study also proves that MKNN method tends to be lower accuracy than KNN method, it is caused by low validity value which will affect weight voting and also accuracy.
Evaluasi dan Pemodelan Proses Bisnis Menggunakan Business Process Management Notation dan Quality Evaluation Framework (QEF) Pada Perusahaan Gumcode Indonesia Zulfiar Ryanda Putra; Aditya Rachmadi; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Gumcode Indonesia is a company engaged in the field of it development & outsourcing service with some cooperation with partners, agencies and state-owned enterprises (BUMN). Gumcode has several services in example website and both android and ios mobile apps that can be developed. In addition, Gumcode Indonesia also provides developer outsourcing service for the company. The business processes on Gumcode is certainly not running properly and correctly. There are still some problems that have potential to disrupt the business processes. As has been said by the speakers on Gumcode in February 2018, one of the problems that exist in the gumcode business process is the process runs too long. It require analysis and modeling of business processes in order to evaluate the existing business processes on CV. Gumcode Indonesia. This research uses value shop analysis to find out the main activity and supporting activity in business development process at the company, Quality Evaluation Framework (QEF) to evaluate business development process which have been analyzed and modeled. After that, root cause analysis acts to identify the root of problem using 5 Whys method analysis. The result of this research is in the form of cause and root of problem that happened at activity which have been evaluated. There is a discrepancy in the quality factor with the Q3 code that is the suitability of the offer to the client (Failure Frequency). Based on the results of interviews, the target of offering success on the average client is 10 offerings per week. And in per week on average only 3 offerings that made it into the company. Based on the calculation of Quality Factor obtained 30% results from 10 offers. Then the result of Quality Factor is in accordance with the target company
Optimasi Algoritme Genetika Untuk Memaksimalkan Laba Pembangunan Perumahan Muhammad Faris Mas'ud; Imam Cholisoddin; Wayan Firdaus Mahmudy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Residence is a basic need. The main function of the residence is for a place to rest, security and family activities. Residential development highly demand along High population growth in the Malang city. when building homes, developers always prioritize the benefits in every construction without reducing the quality of the building. House construction requires human resources and some limited material, therefore genetic algorithms will be very helpful in terms of profit-seeking search. Based on several other Genetic Algorithm studies, this algorithm produces the expected solutions such as: hijab profit optimization, optimization of efficient distribution of goods and optimization of selection of targeted building workers. In accordance with the tests performed using data from Margobasuki Residence, obtained the optimal amount of benefits.
Load Balancing Server Web Berdasarkan Jumlah Koneksi Klien Pada Docker Swarm Dimas Setiawan Afis; Mahendra Data; Widhi Yahya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Most web servers that are used today still use single backend server architectures. The problem that arises is how the single server is able to handle large data requests. We must consider using web server clustering to improve web server reliability. We built this cluster using virtualization technology such as virtual containers. One of the container-based virtualisations currently is Docker. However, managing multiple containers to make a single service is a challenging task. Docker introduces a distributed system development tool called Docker Swarm. We propose a load balancing mechanism on Docker Swarm to balance internal load, so that it can distribute requests to web server. In addition, we also try to find out the performance of roundrobin and leastconn algorithms on loadbalancing mechanisms that will be used on Docker Swarm. The test results show that loadbalancing applying the least connection algorithm has a throughput of 15 Mbps in 1000 requests, 17 Mbps in 3000 requests, 17 Mbps in 5000 requests, while the round robin algorithm has a throughput of 15 Mbps in 1000 requests, 14 Mbps in 3000 requests, 15 Mbps in 5000 requests. The results show the least connection algorithm has better performance than the round robin algorithm. In addition, the results of data distribution are balanced on each available web server.

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