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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 146 Documents
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Search results for , issue "Vol 2 No 9 (2018): September 2018" : 146 Documents clear
Pengembangan Perangkat Lunak IoT Cloud Platform Berbasis Protokol Komunikasi HTTP Ocki Bagus Pratama; Adhitya Bhawiyuga; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The primary aim of Internet of Things (IoT) is to expand the benefits of Internet connectivity by connecting objects around us to the internet, thus enabling remote control and accessibility. IoT devices often have limitations in terms of storage capacity and computing capabilities. This requires the IoT device to be integrated with systems that have better computing capabilities One of them is cloud-based computing system. However, the integration between IoT and cloud devices has challenges in terms of network communication, security, and device management. Network communication is the number of network technologies being used, thus the selection of communication protocols should consider its support for a variety of devices. Security and privacy are a concern because of the large number of IoT devices that can be easily connect to the cloud, requiring authentication and authorization that is required to identify and validate devices that transmit the data. Device management is required due to the large number of IoT devices that will be used, it requires a device management mechanism. Based on those problems, a solution was proposed on IoT cloud platform design using HTTP communication protocol to solve network communication and RESTful for device management constraints. As for identifying and validating devices that transmit data, an authentication and authorization mechanism using JSON Web Token is utilized. The result of system performance testing, is that the built systems are capable of handling up to 100 users simultaneously.
Penerapan Algoritme Jaringan Syaraf Tiruan Backpropagation pada Pengklasifikasian Status Gizi Balita Maria Sartika Tambun; Muhammad Tanzil Furqon; Agus Wahyu Widodo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Growth and development of children is an important thing that can be known by the assessment of nutritional status. A benchmark of a fulfilled accomplishment of nutrients in children who can be classified with severe obesity. Assessment of the nutritional status of toddlers can be determined by measuring the body known as "Anthropometry". In classifying the nutritional status of toddlers there is a concern that is on the community about the nutritional problems are good to know from many toddlers who are good nutrition, and also want to know which one is really the ideal nutrition. Because in the assessment of nutritional status of toddlers through good nutrition Antroprometry there is a large range. In the testing process using backpropagation method begins with the number of iterations, the value on the learning rate, the error limit and the amount of training and test data. In the study there are 3 input layer neurons, 3 hidden layer neurons and 1 output layer. The results of the test phase is obtained from the highest accuracy of 54.0% for the value of learning rate 0.1, the error limit of 0.001 and 0.005. The amount of train data and test data used is 80:10, with 10000 iteration. The lowest accuracy obtained is 43.0% ie on the results of the training data and test data is 70:50, and the learning rate of 0.3 and 1000 maximum iteration.
Pengembangan Sistem Informasi Lembaga Pengkajian dan Konsultan Bantuan Hukum (LPKBH) Menggunakan Zachman Framework (Studi Pada LPKBH Al-Baihaqy) Irfan Asnawi; Yusi Tyroni Mursityo; Djoko Pramono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Institute of Assessment and Legal Aid Consultant (IALAC) Al-Baihaqy is one of the legal aid agencies in Indonesia located in Surabaya Based on the results of the interview, there are some problems that are being faced by LPKBH Al-Baihaqy, such as the difficulty in finding clients when many people who have problems in law and client does not make a payment at the time of consultation. From these problems, it is necessary to analyze the current business processes and designing an application that can help IALAC Al-Baihaqy in finding clients and solve problems the client does not pay when consulted. In this research, business process analysis using Bussiness Proccess Improvement (BPI) method and designing application using zachman framework. Zachman framework is a logical structure to clarify and organize significant Enterprise descriptive representations of Enterprise management and Enterprise system development, manual systems and automated systems. This research results are modeling of current business processes and proposals, system design based on analysis using zachman framework, and system prototypes. In addition, a business process simulation using Bizagi Modeler is performed. The simulation is done up to level two, ie process validation and time analysis. System prototype testing uses black-box testing and white-box testing.
Analisis dan Perancangan Sistem Informasi Pelayanan Informasi Pasar Kerja Dengan Pendekatan Berorientasi Objek Bambang Setiyawan; Ismiarta Aknuranda; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Labor Market Information Services is one of the services provided by the Department of Manpower (Disnaker)as meant in Regulation of the Minister of Manpower and Transmigration Republic of Indonesia Number 7 of 2008. Increasing job market information, job market, and expansion of employment opportunities and transmigration placement areas is one of the missions owned by Disnaker Malang Regency in line with the minister's regulation. Currently, labor market information services can be done by using the website of Disnaker Malang Regency. But by using this method, the labor market information service still needs to be maximized because the labor market information is mixed with other information. From these problems it is necessary to design an information system that supports in conducting labor market information service. Object Oriented Analysis and Design (OOAD) will be used in the analysis and design of the information system. The results of the analysis and design will be evaluated using the Requirements Configuration Structure and Decision table. The end result of this research is the current business process models and proposals, lists of stakeholders and users, user requirements list, features, system requirements list, use case model, system design and evaluation.
Implementasi Metode Naive Bayes-Certainty Factor Untuk Identifikasi Penyakit Kanker Pada Sistem Reproduksi Wanita Muhammad Anang Mufid; Nurul Hidayat; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

There are many women who still reluctant to pay attention to the health of the reproductive system. Cancer can attacks slowly if women don't maintain the health of their reproductive system. Cancer prevention is very necessary nowadays, but sometimes it stumbled on the limited number of doctors or experts. Therefore, a tool of expert system need to be made to reduce these limitiations. This study implements an expert system to diagnose cancer in the reproductive system using the android-based Naive Bayes-Certainty Factor method. Based on trials, by using Naive Bayes-Certainty Factor method, the calculation accuracy of the diagnose is good and accurate, the calculation accuracy of the diagnose is good and accurate, because the output of system has 85,71% as accurity level.
Sistem Deteksi Warna pada Quadcopter Ar.Drone Menggunakan Metode Color Filtering Hue Saturation and Value (HSV) Ayang Setiyo Putri; Gembong Edhi Setyawan; Tibyani Tibyani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Currently quadcopter is widely used as one of the objects of research method using image processing. With the applied image processing on quadcopter then quadcopter will have plenty of ability to perform the mission, such as tracking, landing, or detect certain objects. However, in most research image still captured by the external camera that additional cost prohibitive. To solve this problem, in this research used Parrot AR.Drone quadcopter that has a built in camera, so not needed an extra camera. Image processing is implemented on the platform that is used to connect the ROS and quadcopter with PC using OpenCV. The method used is color filtering on the HSV color space. The results of this research in the form of a system at AR.Drone are able to detect color with accuracy of 89,6%. Tests on the system is done by testing the performance of detection distance against quadcopter with objects and color detection performance testing with a certain speed. The results is the effective range of object detection is at a distance of 1 meter and the effective speed of quadcopter done dynamically detection is with the speed of 0.6 m/s.
Rancang Bangun Sistem Deteksi Titik Kebakaran Dengan Metode Naive Bayes Menggunakan Sensor Suhu dan Sensor Api Berbasis Arduino Mohamad Misfaul May Dana; Wijaya Kurniawan; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fire be a problem that could happen anywhere, in office buildings, housing or in public facilities. The process of the fire did not predictable. The current system which detection of is a fire or not , if there was a fire notice will send a message to the owner of the through smartphone. the system can't detect in which the location of fire, because know the location of fire will ease the evacuation process. Based on these problems , there must be a fire detection system might give warning spot location fire incident that human were inside the building immediately evacuation and fire sprinkler can inject water directly to the fire. The process of the determination of recipient point fire use the room temperature obtained from the results of reading sensors lm35 connected with arduino mega as mikrokontroler to be implemented with the methods naive bayes. Sensor LM35 read the value of room temperature in a recurrent manner , if there is a trigger on a system . then system warning there was a fire on a certain location. Trigger obtained from sensors flame to detect there was a fire or not, when there was a fire. sensor flame will send triger to arduino mega and value lm35 will be processed in to the methods naive bayes.Researchers used a method of bayes naive to determine the classification fire. This method chosen because it is one of a good the classification methods, the categorization of point class fire has been set since the beginning. After the research was done , there are several conclusions .First conclusion a detection system locations fire point when tested in training room air-conditioning with the data testing as many as 36 points obtained value 94% accuracy. Conclusions second, when fire detection system used in the air conditioning of 36 points testing get some 86 % accuracy. Third conclusion, the system takes time 0.48 seconds to determines any decision in which the location of the occurrence of fire incident.
Sistem Kontrol dan Monitoring Kualitas Air Tambak Udang Windu Dengan Metode Fuzzy Logic Control Menggunakan Mikrokontroler NI myRIO Ayu Samura; Wijaya Kurniawan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The water quality is a very important factor for the survival and productivity of shrimp farming. The water quality can be seen from the physical parameters of water temperature, salinity, and turbidity . Poor water quality can lead to decreased appetite of shrimp, slow fattening, and susceptible to disease. To avoid these problems, the authors propose an embedded system that can monitoring and controlling the shrimp farm water quality based on temperature, salinity and water turbidity parameters.Microcontroller NI myRIO-1900 with fuzzy logic controller methode are used to control and monitor the water quality of shrimp farm. This sistem can also store the results of monitoring and controlling data that has been done. Based on the test, the sistem can monitor the temperature, salinity and turbidity with an average time stable 241.67 seconds. For determination the shrimp farm water quality using Fuzzy Logic Controller method with three membership and five membership compared to manual calculation obtained fuzzy result with five membership is much more accurate with difference 0.51, while fuzzy with three membership yield difference 3.22. on the water quality control function by controlling the speed of the pump rotation produce a good level conformity.
Mencari Jalur K Terpendek Menggunakan Yen Algoritm Untuk Multipath Routing Pada Openflow Software-Defined Network Afredy Carlo Sembiring; Wijaya Kurniawan; Widhi Yahya
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

SDN (software defined network) is a separate network model between control plane and data plane using Openflow communication protocol standard to connect the two. Software defined network developed in recent years and has done many implementation one of them is for network routing. There are three routing algorithms in this research are Yen algorithm DFS algorithm and Dijikstra algortime. For three algortime it will be implemented using mininent and ryu controller. This test is performed to see the performance of the algorithm includes throughput, convergence time and packet loss. After testing from convergence time, Yen algorithm get an average of 0.0070 seconds and DFS of 0.00734 seconds. After getting the data on the test using the yens algorithm then it will be compared with the data obtained using DFS algorithm and Djkstra algorithm with the same method. Based on throughput results, Yen Algorithm outperformed the DFS algorithm and Dijkstra's algorithm with an average of 178,422. In packet loss test yens algorithm, dfs and dijkstra, here yens have a smaller loss packet compared with dfs and dijkstra.
Implementasi Sistem Monitoring Polusi Udara Berdasarkan Indeks Standar Pencemaran Udara Dengan Pemodelan Finite State Machine Renal Prahardis; Dahnial Syauqy; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Pollution is a problem that until now still can not be solved. This problem is caused by the number of users of motor vehicles that cause pollution. From these problems need a system that can determine the air quality that can immediately alert the user through the smartphone application when the condition of the air is not healthy. It is expected that with this research, people will be more concerned about their health. This system uses the Finite State Machine method (FSM) which aims to apply the working principle of the system using 3 things, namely State, Event, Action. Based on testing that has been done correlation value of sensor readings MQ2 with output voltage 94.45%, MQ7 sensor of 94.98, MQ136 sensor of 95.79. Then for the sensor DHT22 has an average error of 2.68%. In addition, the communication distance NRF can communicate at a maximum distance of 50 meters, and distance connectivity with WiFi ESP with a maximum distance of 160 meters. For data reception time, the fastest time is 1.13 seconds. Then the system in applying the Finite State Machine modeling has been successful both in the application of the Main Device and Hub Device with a percentage of success of 100%

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