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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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Penerapan Algoritme C4.5 untuk Klasifikasi Fungsi Senyawa Aktif Menggunakan Kode Simplified Molecular Input Line System (SMILES) Mochammad Iskandar Ardiyansyah Rochman; Dian Eka Ratnawati; Syaiful Anam
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

Compounds are things that are often found in this world, with a substance that is a collection of compounds (Educated, 2015). The compound itself is divided into active and inactive compounds. The compound has a function that may be utilized for some aspect if it has a function like a drug or a stimulating hormone work. notation of SMILES (Simplified Molecular Input Line System) by David Weininger in 1980. SMILES notation takes advantage of ASCII characters that are very easy to process by the computer. SMILES notation classification process will be very useful to know the function class of the compound. This study was conducted to classify the function of the compound utilizing the SMILES notation by applying the C4.5 algorithm while the object is 2 classes of compound function, including the class of cancer and metabolism. Features tested from research as many as 11 features. The results of the best tests when the discretization technique is performed using entropy based discretization techniques, dividing the SMILES notation values ​​on each feature attribute, and the use of practicable data as much as possible will result in an accuracy of 79.34%. While the accuracy of the cross validation test shows an accuracy of 70.18%.
Analisis Kesuksesan Aplikasi Mobile Pemesanan Tiket Bioskop M-Tix Cinema 21 Berdasarkan Perspektif Pengguna di Kota Malang Menggunakan Pendekatan Delone and McLean Success Model Yugo Fairnando Augusto; Aditya Rachmadi; Admaja Dwi Herlambang
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

M-Tix Cinema 21 mobile app offers online cinema ticket booking service for Cinema 21 network throughout Indonesia. However, in operation there are still some complaints submitted by users for this application. In addition, in Malang City M-Tix Cinema 21 mobile app is still underutilized by the public. Based on the results of the preliminary survey, the percentage of respondents who has used this application to booked cinema tickets in Malang City was only 32.4%. The objective of the study was to describe the success rate of M-Tix Cinema 21 mobile app and provide recommendation improvements based on the concept of DeLone and McLean Success Model. Data collection was done by distributing questionnaires, where the number of samples in this study was 112 people and selected using Purposive Sampling technique. The results of this study indicated that the success rate of M-Tix Cinema 21 mobile application on System Quality variables belongs into high category (75.8%), and Use variables belongs into the high category (75.0%). Based on the comparison of each variables mean percentage, Use variables are prioritized to get improvement recommendations. Recommendations that can be given both to improved System Quality variables and Use variables such as by performing system maintenance periodically and improving marketing strategy of M-Tix Cinema 21 mobile application.
Sistem Kendali Jarak Tempuh Quadcopter Menggunakan Metode Proportional Integral Derivative Enno Roscitra Oktaria; Gembong Edhi Setyawan; Wijaya 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

The Quadcopter is one of Unmanned Aerial Vehicle (UAV) robots that has the ability to maneuver in various directions and flexible to explore a narrow area. These capabilities can be optimized for the benefits by building automated navigation systems on the quadcopter. One of them is designing a precision control system of quadcopter position movement using a PID (Proportional Integral Derivative) method. Tuning of PID parameters using the Ziegler Nichols oscillation method. From the test result of PID parameter tuning, the system response oscillates stably when the value of Ku = 0,07 and Pu = 0,092, so that the movement control in the pitch and roll angle obtained Kp = 0,042; Ki = 0,046; and Kd = 0,0115. From the observation of position accuracy testing, it shows that the control system using PID yields an error rate of 4,99% and the time required for the system to enter ± 2% of the steady state or settling time of 0,4145 s. The error rate and settling time are obtained based on the average results of each test that has been done.
Implementasi Pengaturan Jarak Tendangan Prototipe Kaki Robot pada Kaki Manusia Menggunakan Sensor Gyroscope dan Accelerometer dengan Metode PID Jodie Putra Kahir; Wijaya Kurniawan; Rizal Maulana
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

In today's age there are many people from various circles and age levels who love to play games. Games that are usually played are divided on several platforms one of which is a console platform. But on the console platform it seems there is still a lack of type of interaction that can be done by users with games on the console. Then came the idea that to add the kind of interaction between the user and the game football on the console, which is a system that can regulate the power of the user's kick while playing. In the manufacture of kick power settings on the robot leg prototype is required several components. Such components include Gyroscope & Accelerometer (MPU-6050 sensor), Arduino Nano, IBT Motor Driver, DC Motor, and a prototype of robot legs. And also the power settings of this robot kick also use PID method as a controller. In testing the distance kicks, successfully drawn the conclusion that the smaller the degree value of inclination on the sensor the further distance kick that can be done by robot legs prototype. And on testing the overall control system managed to get the value of L = 1.67s and T = 13.91 which then used the formula Zieger Nicolas 1 to get the value Kp = 8.33; Ki = 2.49; and Kd = 0.69.
Klasifikasi Film Berdasarkan Sinopsis dengan Menggunakan Improved K-Nearest Neighbor (K-NN) Nurul Muslimah; 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

Movie is audio visual communication media, which imply the message the movie creator wants to convey. Movie has several genres namely romantic, horror, thriller, comedy, fantasy and so on. Not a few movie connoisseurs are still confused about the differences in these genres. This resulted in many movie lovers who were difficult to distinguish the genre of movie so that the message in the movie could not be fully conveyed to the audience of the movie. Therefore, the classification of movies based on the synopsis of the movie can be one of the solutions to the problem. Classification in the movie synopsis will help in grouping movies with the appropriate genre. The genre genre classification process based on the synopsis begins with preprocessing, then weighting the term to classification with the Improved K-NN method. Based on the implementation and testing conducted in the movie classification research based on the synopsis using Improved K-NN which uses 250 documents as training data and 50 documents as the test data the best results are precision = 1, recall = 0.88, f-measure = 0.936170213, and an accuracy rate of 88%. As well as comparison with K-NN, it was proven that classification using the Improved K-NN method was better than the K-NN method.
Penentuan Rating Review Film Menggunakan Metode Multinomial Naive Bayes Classifier dengan Feature Selection Berbasis Chi-Square dan Galavotti-Sebastiani-Simi Coefficient Thio Marta Elisa Yuridis Butar Butar; Mochammad Ali Fauzi; Indriati Indriati
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

In the current era there are various kinds of movies, although the way of approach varies, all movies can be said to have one goal, namely to attract people's attention to the contents of the problem. From the contents of the movie there are many responses from the author and write them in a short review. With the review can help consumers to be more selective again in choosing a movie. And from the production side can be helped to measure how far the quality of the movies they produce. But from the production itself sometimes have difficulty in sorting and categorize the review, whether the movie is good quality, good enough, not good, and so forth. In this study the assessment of a moview based on the review given is Rating. So it takes a Rating prediction system to predict and determine the right Rating based on the reviews given by the users of a movie. To support the system built required methods to solve the problem, in this study researchers used the method of Multinomial Naive Bayes along Chi-Square and Galavotti-Sebastiani-Simi Coefficient. Multinomial Naive Bayes is a method for classification whereas Chi-Square and Galavotti-Sebastiani-Simi Coefficient is a feture selection to futher optimize the results of classification. From the test results, obtained the best accuracy level when the use features by 90%, and 100% with an accuracy of 36%. These results are the best results of the results with other features usage percentages. From these results CHI-GSS proven to make the selection of words that are considered relevant or irrelevant to do classification.
Implementasi Algoritme Trivium Stream Cipher Dan Shamir's Secret Sharing Pada File Portable Document Format (PDF) Muhammad Wahyu Rizqi Pratama; Ari Kusyanti; Mahendra Data
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

Securing data in the form of files by encrypting the files is one way to secure data in the concept of cryptography, so that other people who are not entitled to find files that are private or confidential. In this study implementing data security using two cryptographic algorithms namely Trivium Stream Cipher and Shamir's Secret Sharing. Both algorithms are applied to a *.pdf format document file. * .pdf document file format is a file format that is widely used when sending files because it can be distributed on any computer with the same look. But with the development of technology, the security of this file also weakens like tapping or losing. Therefore we need a method that can improve the security of this * .pdf format document file. It is expected that by combining these two algorithms can improve security in * .pdf format files. From the testing that has been carried out this system requires an average execution time of 2.363 seconds for a file size of 15 Kb, 6.384 seconds for a file size of 31 Kb and 12.456 seconds for a file of size 40 Kb.
Klasifikasi Hoax Pada Berita Kesehatan Berbahasa Indonesia Dengan Menggunakan Metode Modified K-Nearest Neighbor Andre Rino Prasetyo; Indriati Indriati; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 12 (2018): Desember 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

News is a source of information about current events which can be found in newspapers, television, the internet and other media. Currently the news that is disseminated often without writing the source clearly, especially the type of news about health, it can lead to misinterpretation because the news is not necessarily true or wrong so it takes a smart system to classify health news is whether included in the category of hoax or fact. The hoax classification process use several stages ranging from preprocessing consisting of tokenisasi and filtering. Continued with word-weighting process and cosine similarity to classification process using Modified K-Nearest Neighbor method. The results obtained based on the implementation and testing resulted in the best value of k amounted to 4, precision of 0,83 recall of 0,75 f-measure of 0,79 and the accuracy of 75%. The test results obtained because the health news content used is still too common, many non-standard words and the determination of k-values ​​used are very influential on whether or not the process of classification of health news documents.
Implementasi Load Balancing Web Server Dengan Algoritme Weighted Least Connection Pada Software Defined Network Hafizhul Karim; Rakhmadhany Primananda; 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

The problem of the web server is many of requests used by the user so that the workload on the server increases quickly resulting in the server down. Loadgbalancing is a techniqueato distribute incoming traffic between available serversaso that requestsxcan beahandled and respond faster. This research uses weighted least connection algorithm. The weighted least connection algorithm divides the server load based on the weight value. Software Defined Network Architecture (SDN) is programmable and provides facilities to the Network Administrator to design and implement load balancing strategies without vendor limitations. For implementation use mininet and controller used with POX. Parameters used for testing are connection rate, throughput, and CPU usage. The tool used for testing is httperf. The result of connection rate and throughput testing by giving client request 3000 with the rate of 75, 150, and 300 with the highest connection rate is 296,28 Conn/s, the lowest response time is 2,34 ms and the highest throughput value is 805,66 KB/s. And the last result of testing CPU usage, server 1 has a value of 21.6%, server 2 has a value of 24.6%, and server 3 has a value of 26.3%.
Perbandingan Kinerja Cassandra dan MongoDB Sebagai Backend IoT Data Storage Adam Kukuh Kurniawan; Eko Sakti Pramukantoro; 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

The storage solutions for keeping a variety of data is using NoSQL. In the previous research, IoT data storage framework has been developed to solve the problems of large and diverse IoT data by using NoSQL MongoDB and GridFS as the data storage media. But currently there are many NoSQL databases with different implementation mechanisms and storage characteristics. It brings challenges in the NoSQL databases selections that are used as IoT data storage media. In this research will be proposed IoT data storage media using NoSQL Cassandra. The researcher chose NoSQL Cassandra because the implementation mechanism and characteristics of the sessions differ from MongoDB NoSQL. The test is done in terms of functionality on Cassandra in storing data from sensor nodes, as well as in terms of performance of Cassandra and MongoDB in performing insert data text and file operations using Runtime, Throughput, CPU Usage, Memory Usage and DISK I/O parameters. From the results of functionality testing, Cassandra can store heterogeneous data from sensor nodes. For insert data text operations, MongoDB has Runtime, Throughput, and CPU Usage values ​​best compared to Cassandra (runtime 121.2 second, throughput at 1236.7 ops/s, and CPU usage from 4% to 5%). As for insert data file operations, Cassandra has better Runtime, Throughput, and Memory Usage values ​​compared to MongoDB (runtime 86.4 second, throughput at 115.8 ops/s, and disk I/O at 126953 KB)

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