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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 146 Documents
Search results for , issue "Vol 2 No 9 (2018): September 2018" : 146 Documents clear
Perancangan Perangkat Pengendali Navigasi AR Drone Quadcopter Berbasis Hand Gesture dengan Metode Complementary Filter Syarif Hidayatullah; Gembong Edhi Setyawan; 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

Quadcopter is a type of Unmanned Aerial Vehicle (UAV) which widely used in various fields of life. Navigation control is a very important thing to know while using quadcopter. Navigation control is a way to set the direction of quadcopter movement when flying. Remote control can be used to control the direction of quadcopter. But, using the remote control is required specific ability for the user to set the direction of quadcopter movement. Natural User Interface (NUI) is a new way to interact with a system. NUI made human easier to interact with the system. Because NUI using natural input such as the movement of the human body. In this research built a wearable device which can detect hand gesture and control the movement of quadcopter. The device applies complementary filter method to reduce noise when detecting angle transformation when user doing hand gesture. Based on the tests that had been done, this system got succes on each test of hand gesture. Delay in this system generates when the user doing hand gesture until the quadcopter move is 0.67 seconds.
Identifikasi Penyakit Gagal Ginjal Menggunakan Metode Neighbor Weighted K-Nearest Neighbor (NWKNN) Azizul Hanifah Hadi; Dian Eka Ratnawati; Candra Dewi
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

Kidney disease can be caused by several factors such as hypertension, uric acid levels, creatinine levels, diabetes, and many others. From that factors, we know about the level of kidney disease risk. Some people are unaware, lazy and indifferent about health, especially on kidney disease because of the long process and complicated. According to the Indonesian Renal Registry, in 2014 patients with kidney disease in Indonesia reach 12,770 inhabitants. Therefore, we need a system that can detect or identify the kidney disease. In this research, we will identify the kidney disease using Neighbor Weighted K-Nearest Neighbor (NWKNN) method. This method is similar to the KNN method but the differentiates are in the weighting process in each identification class. Identification class in this study decided in two part, ckd or exposed to kidney disease and notckd or not affected kidney disease. The results of this study indicate that the NWKNN method can identify kidney disease when the data are 150 data and the test data are 50 data with K = 2 and E = 2 and accuracy level is 88%.
Evaluasi Tampilan Antarmuka QGIS Dan ArcGIS Menggunakan Pendekatan User-Centered Design (UCD) : Studi Kasus Fungsi Geoprocessing Tools Fathin Naufal Hawi; Fatwa Ramdani; Retno Indah Rokhmawati
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

Interface quality is a great influence on usefulness of Geographic Information System (GIS) but it not yet to be important points in GIS and issues of GIS application difficult to understand by users because design of user interface than technical problems. This research is aimed at doing a comparison to applications QGIS and ArcGIS using user-centered design method. The usability testing shows from the aspect of effectiveness in every function tested are likely to be more high effectiveness on the application of QGIS in terms of the function 73% of the intersect, 73% buffer, 53% dissolve, 53% merge and 60% union while ArcGIS just high on 33% clip. On the aspect of efficiency with goals/min units, there's no function can be completed in one minutes, every task requires measures varied to achieve its goals, but the results show highest levels of efficiency on ArcGIS in terms of clip in 0,31, intersect in 0,38, dissolve in 0,90. While QGIS is higher on buffer in 0,88, merge in, and union in 0,80. The aspect of satisfaction show ArcGIS are likely to be more high satisfaction scores with 68,5 compared to QGIS with 54,5.
Pemodelan dan Evaluasi Proses Bisnis Menggunakan Metode Quality Evaluation Framework (QEF) (Studi Kasus : PT. Group Mitra Indonesia) Dimas Hariyanto Sudarpi; Nanang Yudi Setiawan; Ismiarta Aknuranda
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

Group Mitra Indonesia is a company engaged in the field of labor security services provider and investigation. The process of serving services to clients is the main business process running on PT. Group Mitra Indonesia. In the service delivery process there are several other processes that start from the offer and agreement of cooperation with the client, the acceptance and selection of labor, and also the placement of workers at the client company. In the process of presenting the service to the client there are some problems that cause the quality of service is bad. So we need to evaluate the current business process using Quality Evaluation Framework (QEF) method. To conduct a business process evaluation today requires the current business process model that is modeled by using Business Process Model and Notation (BPMN). Next phase is mapping the Quality Factor of every business process that has been modeled and determine the target and calculation of the realization at the company using the formula that has been defined in Quality Evaluation Framework (QEF) method. The results of the calculations performed at the evaluation stage will result some inappropriate Quality Factor. fishbone analysis method and 5 whys analysis is used to analyze the nonconformity obtained and is expected to assist the company in obtaining the root of the problem.
Analisis Perbandingan Akurasi Deteksi Serangan Pada Jaringan Komputer Dengan Metode Naive Bayes Dan Support Vector Machine (SVM) Mercury Fluorida Fibrianda; Adhitya Bhawiyuga
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

Serangan Denial of Service (DoS) merupakan suatu tindakan untuk melumpuhkan server komputer pada jaringan internet sehingga komputer tidak dapat menjalankan fungsinya dengan benar. Untuk melakukan pendeteksian atau pencegahan berbagai potensi serangan telah dikembangkan Intrusion Detection System (IDS). IDS memiliki dua metode dalam melakukan pendeteksian yaitu Rule Based (Signature Based) dan Behavior Based. Dalam penelitian ini digunakan metode behavior based dimana dalam proses kerjanya membutuhkan sebuah dataset dan metode. Metode yang dapat digunakan salah satunya adalah teknik klasifikasi data mining. Tetapi tidak semua algoritma data mining memiliki kinerja yang baik dalam mengklasifikasi jenis serangan. Oleh karena itu, penelitian ini melakukan perbandingan beberapa algoritma yaitu Naive Bayes, SVM Linear, SVM Polynomial, dan SVM Sigmoid. Dataset yang digunakan dalam penelitian ini adalah dataset dari ISCX2012 testbed tanggal 14 Juni 2012. Penelitian ini menganalisis perbandingan metode yang dihasilkan dari proses klasifikasi berdasarkan nilai akurasi confusion matrix, precision, recall, dan f1 score. Naive Bayes, SVM Linear, SVM Polynomial dan SVM Sigmoid menghasilkan persentase akurasi berturut-turut sebesar 85,055%, 99,995%, 99,999%, dan 99,995%. Persentase akurasi tertinggi diperoleh SVM Polynomial, sedangkan Naive Bayes menghasilkan persentase akurasi terendah.
Sistem Pendeteksi Kandungan Nutrisi dalam Tanah Berdasarkan Warna dan Kelembapan dengan Menggunakan Metode Naive Bayes Khairul Anwar; Dahnial Syauqy; 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

The content of soil nutrition has its main role in the agricultural sector. farmers usually use their limited information when determining the land to be used as agricultural land. There are many farmers are experiencing the crop failure and got loss caused by mismanagement of the land. Based on these problems, a system that can detect the nutrient content in the soil which farmers will use to classify the nutrient content of the soil. This study used soil color as parameters that are obtained by using TCS3200 color sensor, while soil moisture parameters are obtained by using Soil Moisture sensor. Determination of nutritional content based on 4 parameters, there are value of R, G, B and soil moisture value of each sensor will be processed in Arduino Uno microcontroller using Naive Bayes method. The use of the Naive Bayes method refers to the decision of the nutrient content of the soil, it is known that the Naive Bayes method has a good accuracy and can be used based on class classification at the beginning of the process. Based on the test conducted on the system, it generates reading errors of the TCS3200 color sensor is 5.34% and Soil Moisture sensor error based on the reading with a humidity measuring instrument is 2.41%. Naive Bayes Method Accuracy in the classification of soil nutrition content is 100% that is obtained from 26 training datas and 13 test datas. The computing time of the system was 0.0814 seconds with 26 times test.
Pemodelan Regresi Linear untuk Prediksi Konsumsi Energi Primer Indonesia Menggunakan Hybrid Particle Swarm Optimization dan Continuous Ant Colony Optimization Faris Febrianto; Candra Dewi; Bayu Rahayudi
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

Primary energy consumption prediction is an important to project future government energy policy in any country. However, many primary energy consumption prediction often lack of accuracy and data sources. Indonesia primary energy consumption is the biggest than other country in south east asia region and fourth in asia pacific. Indonesia primary energy consumption always increased due to rapid economic growth in last few years, it raised 16% only in three years, 149.31Mtoe in 2010 to 174.24Mtoe in 2013. Indonesia primary energy sources from fossils energy, oil, gas, and coal, otherwise hydro energy, and other renewables energy only 3.33% from total consumption. Our aim is to create primary energy consumption prediction accurately from five input parameter, gross national income, gross domestic product, population, import, and eksport. We use multiple linear regression modelling with find intercept and slope coefficient using hybrid Particle Swarm Optimization and Continuous Ant Colony Optimization. Experiment results shows that linear regression model has average Mean Absolute Percentage Error 10.1% which is good category for primary energy consumption prediction. Hybrid method also compared with regression using standalone Particle Swarm Optimization and standalone Continuous Ant Colony Optimization.
Analisis dan Perbaikan Antarmuka Pada Situs Web Brawijaya Information Technology Services (BITS) Menggunakan Metode Evaluasi Heuristik Rendra Trihardo; Retno Indah Rokhmawati; Aditya Rachmadi
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

UPT TIK is a BITS website manager. One that can not be separated from the quality of a website is the user interface. The website interface is very influential on the operational process of website usage. To explore the problems on the BITS website then observations and interviews conducted with related parties of BITS website manager. Based on observations and interviews, a number of problems on the BITS website interface were found. Given the importance of website function for operational activities and based on existing problems, the researcher proposes evaluation of BITS website using heuristic evaluation. Evaluation is done in 2 stages, that is early stage evaluation and final evaluation. In the early evaluation, evaluation was done on the BITS website with a total of 28 problems and the most common problems were found in the H8 category (aesthetic and minimalist design). Based on the results of the early stage evaluation of BITS website was improved. In the final evaluation, the evaluation was done on the result of BITS website improvement with the total problems of 15 were found and the most common problems found in the final evaluation lies in the category of H8 (aesthetic and minimalist design). The average of severity ratings on the final evaluation is on the scale of 2 (minor usability problem), so that sustainable improvement for the BITS website is needed.
Analisis Perbandingan Kinerja Algoritme Fair Share Scheduling Dengan Capacity Scheduling Terhadap Pengiriman Job Pada Hadoop Cluster Multinode Friska Anggia Nurlita Sari; Adhitya Bhawiyuga; Achmad Basuki
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

Hadoop is a framework based on an open-source which is used for a data processing in a large scale and stored in a group of interconnected computers that are connected in a network which are distributed. Hadoop there are several scheduling algorithms to set the incoming job queue, jobs that have been submitted by the user will compete for a resource available. So the need for a scheduling algorithm in charge of managing the job on a resource and managing the data processing so that output issued in accordance with what is expected. This research was conducted to find out the comparison of performance of Fair Share Scheduling and Capacity Scheduling algorithm on job delivery on Hadoop multinode to know the value of Job Fail Rate, Latency, and Throughput parameters. Capacity Scheduling supports the queue in a hierarchy that is able to divide the available resources in the cluster into multiple queues. Fair Share Scheduling is a fair allocation of resource allocation methods for queues for all jobs that enter the queue. Based on the results of tests that have been done, has a minimum value of Job Failed Rate is better than Fair Share Scheduling of 0.99%. Fair Share Scheduling has a minimum value of better Latency of 19.25 minutes. While the value of Throughput on Fair Share Scheduling faster by 0.47 Mbit/s.
Stabilizer Kamera 2-Axis Dengan Pid Control Berdasarkan Setpoint pada Atmega 328 Adryan Chiko Pratama; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
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

Advances in technological developments currently affect human life, one of which is camera technology. Currently the camera has a technology that serves to reduce vibration when shooting called Image Stabilization, but this technology produces less precise images therefore required stabilizer. It is expected that with this research can help the problem of tilted in shooting from smartphone camera. In this research used a sensor gyroscope and accelerometer located on one unit of MPU-6050 which can be read value using Arduino Nano microcontroller. The sensor value include in the calculation of PID Control which variables Kp, Ki and Kd are searched using trial and error method. Based on the test that has been done, the research have the conclusion that the accuracy level of MPU-6050 sensor value to the average arc of system error difference 0,4 ° and percentage of system error is 0,25%. The difference or the resulting error value due to measurement accuracy using a protractor is below 1 °. In testing the accuracy of the servo angle to the setpoint obtained the average percentage error of both servo angles reached 0.17% with a large error of degree 0.24 °. Then on testing the stabilizer response speed to achieve stable (settling time) found the average speed reached the stable system that is 0.92 seconds.

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