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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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Klasifikasi Risiko Hipertensi Menggunakan Metode Learning Vector Quantization (LVQ) Ivan Agustinus; Edy Santoso; Bayu Rahayudi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hypertension is one of the health problems globally and perceived by the world community. From various surveys conducted, the number of cases of hypertension that occur each year will continue to grow and the number of deaths caused by hypertension also increases. This study attempts to classify hypertensive diseases. In this study using patient data of hypertension disease by divided into 4 classes. Classification method used in this research is Learning Vector Quantization. Data in the form of weight will be entered into the database system for further classification process with LVQ. Weight obtained from medical records of hypertensive patients, This study uses 12 features. This study used 6 test scenarios that resulted in recommendation of value of learning rate 0.1, multiplier learning rate 0.2, training data as much as 50%, alpha minimum 0.001, maximum iteration of 6 and train data used in the sequence of initial id. The result of accuracy obtained is 93.841%
Sistem Pakar Diagnosis Penyakit Hepatitis Menggunakan Metode Dempster Shafer Ayu Tifany Novarina; Edy Santoso; Indriati Indriati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Hepatitis is an inflammation of the liver. Inflammation is characterized by elevated liver enzyme levels, due to liver membrane damage or damage. There are two factors that cause the factors of infection and non-infectious factors. There are 5 main hepatitis viruses, referred to as types A, B, C, D and E. These 5 types are of greatest concern because of the burden of illness and death they cause and the potential for outbreaks and epidemic spread.There are many other viruses that potentially cause hepatitis such as adenoviruses, herpes simplex, HIV, rubella, and others. The problems that often occur today is still a lot of ordinary people who lack understanding of health. In fact, not infrequently people do not realize when they get the disease because they do not know the symptoms that cause patients late to handle early. In this study the problems are solved by creating a system by implementing the Dempster-Shafer method to diagnose the types of hepatitis disease suffered by humans, so the system is expected to assist users in diagnosing hepatitis disease in misery since early. Based on the results of system accuracy testing with 20 data samples obtained an accuracy of 90%. Inaccuracy of 10% is caused by several things, among others, the subjectivity of the expert in determining the disease and in the calculations performed using the Dempster-shafer method that uses the highest value without any optimization of the density value on any symptoms.
Penerapan Metode Average-Based Fuzzy Time Series Untuk Prediksi Konsumsi Energi Listrik Indonesia Yulian Ekananta; Lailil Muflikhah; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

With the ever-increasing amount of demand for consumption, for now the concept of forecasting is increasingly necessary as an important input to take planning and control decisions. Referring to the prediction activity, one of the techniques contained in the activity is the fuzzy time series technique. Fuzzy time series is an algorithm used for prediction. Prediction using this fuzzy time series works to store data in the past then generate new value in the show in the future. The resulting output is the result of the prediction. The advantage of time series method is not to require assumptions compared to other prediction methods. The method of fuzzy time series process is not too complicated so it is easy to develop. There are many types of methods using fuzzy time series in its development, one of them is the average-based fuzzy time series. This method is an average-based fuzzy time series method that is able to determine the effective interval length, so as to provide predictive results with a good degree of accuracy. In its implementation, this research applies method of average-based fuzzy time series for prediction of electric energi consumption. The data of electric energi consumption is chosen because it has the right characteristic that is included in the trend data class. In the test section performed using test while using the traning data as much as the total amount of data 43 produces AFER 9.24. While using the MAPE 14,27%. These results include good criteria.
Implementasi Pengiriman Data Sensor LM35 untuk Perbandingan Waktu Insert pada Basis Data MySQL dan MongoDB Rangga Noviansyah Nuur Aziiz; Mochammad Hannats Hanafi Ichsan; Issa Arwani
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 6 (2017): Juni 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

At this moment, there are so many data transfer among the system of computation. And with the term of internet of things where many relations which create a network consist of man to machine relation as well as machine to machine. Also the transferred data are various. Started with numeric data up to character data. And there is sensoric data which began to develop on usage of internet of things such as smarthome. With this many variety of data, create some issues of needs which one of them is a container of data or could be called database. In this research, the compared database are MySQL database and MongoDB database to compares which type of database is better to send sensoric data into the database. There are hardwares which are used for implementing the scenario are Arduino Uno Microcontrollerboard and LM35 IC. And there are softwares to support this research such as PHP programming language. The test of the system will be started with sending sensor data into 1 table, 2 table, and 3 table to each of database with 10 times data transfer so that we obtain the execution time of insert query as a compared parameter of database.
Perbandingan Kinerja Protocol Routing Open Shortest Path First (OSPF) dan Routing Information Protocol (RIP) Menggunakan Simulator Cisco Packet Tracer Wahyu Sasongko Jati; Heru Nurwasito; Mahendra Data
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 8 (2018): Agustus 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Routing is very important for the process of taking a packet from a device and sending it through the network to another device on a different network. The routing algorithm affects the sending process of a packet and also the network that exists on the routing. In a network topology to transmit data is used a variety of routing protocols. OSPF with link-state algorithms and RIP using distance vector algorithms is the most of popular used routing protocols. This study was conducted to compare the performance of the OSPF and RIP routing protocols on LAN networks. By comparing and analyzing the required travel time of the routing protocol in sending a number of different data packets, we can know which routing protocol is the fastest on topology that has been designed. From the results of the study can be concluded that the OSPF routing protocol faster in the delivery of data packets by looking at the results of the travel time required to deliver a specified number of data packets.
Deteksi Objek Penghalang Secara Real-Time Berbasis Mobile Bagi Penyandang Tunanetra Menggunakan Analisis Blob Achmad Jafar Al Kadafi; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 1 (2018): Januari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Blind is a condition when the visual sense experiencing interference or obstacles, so requiring an aids like stick to walking. But, the using of stick does not help them much in walk especially to detect obstacles. In Computer Vision science so possible for people with the visual impairment can do an activity like normal people in general. In computer vision science is so possible for people with visual impairment can do walking activities like a normal people in general. Therefore, this research built a system based computer vision that is applied to a mobile device to detect obstacles on real-time when the visual impairment person walks indoors. Mobile devices will be conditioned at a height of 1 meter above the floor and angle between 52 o to 62 o to get a distance of about 2 meters in front of the user. In general, the obstruction detection process built by applying the Connected Component Labeling method to get a blob from the image. To support the detection process, segmentation process is done using threshold method by utilizing RGB normalization color model based on the dominant bright of floor color. The threshold value used is based on the minimum and maximum values ​​of each component of RGB normalization. Test results shows that the system is able to detect obstacles with an accuracy of 81.25%.
Prediksi Waktu Panen Tebu Menggunakan Gabungan Metode Backpropagation dan Algoritma Genetika Dwi Ari Suryaningrum; Dian Eka Ratnawati; Budi Darma Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 11 (2017): November 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Before sugar cane was milled by the factory, the first process is analysis of sugar cane maturity. The best sugar cane condition to be ground is mature cane that can be seen from several factors such as garden area, age, stem diameter, the average segment per stem and the average length per stem. These factors are used as attributes in the research conducted. To simplify the process, then we proposed this research on the prediction of sugar cane harvest time. With so much data being used and repeated processes, it will be difficult to process manually and takes a long time. In addition, the manual process does not close the possibility of an increasing error. This research uses a combination of genetic algorithm and backpropagation in the process of predicting the harvest time. Genetic algorithms are the best solution used to optimize prediction results by weight selection and bias. Backpropagation method is used to calculate Mean Square Error (MSE) value, which will be used in calculation of fitness value and also on prediction of data test. In this research will be done five kinds of testing, as follows generation test, population size test, test combination of crossover rate and mutation rate, testing of learning rate and testing of Average Forecasting Error Rate (AFER). The result of this research are predictions of harvest time, the value of fitness and AFER. The best result is result of AFER value is 0,0205%.
Implementasi Protokol Websocket Pada Perangkat Non IP Berbasis NRF24L01 (Studi Kasus: Sistem Monitoring Suhu dan Kontroling Lampu LED) Labib Imam Hidayat; Adhitya Bhawiyuga; Reza Andria Siregar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 6 (2018): Juni 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In the current era of technology, the development of IOT (Internet of Things) Architecture has been growing very rapidly. With the increasing number of IOT devices, there are differences between the application layer protocol of the IOT devices. Which causes each devices to have their own application or can be called with the term “one device one app”. To resolve this problem, the use of web protocol to configure the entire application layer protocol or so-called WOT (Web of Things) is a great solution because of the characteristic of the web protocol which is universal. The previous concept of “one device one app” can be changed into “many device one app” which means many devices can be controlled by one application. The problem that arise next is some IOT devices that require real time connections and use radio communications as a method of sending and receiving data. One of the web protocols that supports real time communication is websocket. In radio communications, many devices are used as a choice of radio communication modules. One of the most widely used radio communication module is NRF24L01. By connecting IP protocols with non-IP radio devices, it takes a bridging device that bridges the difference so that data can be transmitted properly. Therefore, the authors conduct research for the implementation of websocket protocol as a web protocol on radio or non-IP devices with case studies of controlling and monitoring systems. The testing result of the sistem is the average time for data transmission of less than one second.
Implementasi Metode Fuzzy Sugeno Pada Embedded System Untuk Mendeteksi Kondisi Kebakaran Dalam Ruangan Rezak Andri Purnomo; Dahnial Syauqy; Mochammad Hannats Hanafi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 4 (2018): April 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Fire is an event caused more by human error. In this final project there are 3 sensors namely MQ-2 sensor, DHT11 sensor, and flame sensor connected with Arduino Mega 2560 microcontroller. Arduino Mega 2560 Microcontroller embedded fuzzy sugeno logic as the output decision based on fuzzy calculation. There are 3 fuzzy processes, namely fuzzification process, inference process, and defuzzification process. Fuzzification process using 3 variables are smoke, temperature, and fire variables. Each variable has a fuzzy membership set. Variable smoke has 3 set that is tenuous, medium, and concentrated. Variablel temperature has 4 set that is cold, cool, warm, and hot. Variable fire has 4 sets that is close to the sensor, rather close to the sensor, away with the sensor, and no fire. Defuzzification process using the MIN-MAX method, then each variable output conditions will be searched for the largest value (MAX). From the test results, the system can determine the various conditions of the room with 100% accuracy. The average system execution time is ± 417.4 ms. In fuzzy testing obtained percentage of success of 100%. This indicates that the system can work well in determining the condition of the room based on the input of the sensor. Keywords: fire, sensor MQ-2, DHT11 sensor, flame sensor, arduino mega 2560, fuzzy sugeno
Algoritme Genetik untuk Optimasi Pembentukan Fungsi Regresi Linier dalam Menentukan Kebutuhan Volume Air Penyiraman Tanah Hendra Pratama Budianto; Budi Darma Setiawan; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 9 (2017): September 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Seed Laboratory BPTP East Java is one of provincial government work units that have assignment as the technical implementer to conduct a study in seed growth. Currently at this place is being developed automatic watering device based on soil humidity sensor, but the device cannot predict the volume of water needed in order to keep the moist of seed growth media. With the help of humidity sensor on device and expert's knowledge, the observations dataset of soil moisture to the needs of waters volume has been obtained. This study was conducted to apply linear regression method so that the device can perform predictions based on dataset patterns as an equation. The accuracy of prediction results with this method is measured by the coefficient of determination. The coefficient of determination can be decreasing due to the arising of observation outliers because Inaccuracy of observation results. The solution from this study is using genetic algorithm with information criteria as comparison for detecting observation outliers to eliminated. After eliminating 6 observations outliers were detected by genetic algorithms in this study, shows increase in the coefficient of determination from 0.9673 to 0.9935.

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