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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 125 Documents
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Search results for , issue "Vol 3 No 4 (2019): April 2019" : 125 Documents clear
Implementasi Metode Jaringan Saraf Tiruan Backpropagation Pada Prediksi Payload 4G di Telkomsel Jember M. Rikzal Humam Al Kholili; Budi Darma Setiawan; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT. Telkomsel is one of the largest telecommunication providers in Indonesia which also has the most customers spread throughout Indonesia. Customers of PT. Telkomsel from year to year has experienced an increase and this will result in the use of an increasing number of payloads because the payload is all packages that are received and sent by mobile to a receiver (signal receiver) and if the amount of payload usage is smaller than the number of users it will occur over lagging and users will feel uncomfortable. With these problems, it requires an implementation of several methods to predict the amount of 4G payload usage so that PT. Telkomsel can find out the number of 4G payload usage in the next day or month so that it can anticipate losses or complaints from customers. Of the many prediction methods available, the authors use the backpropagation neural network method to perform a prediction process using artificial neural network architecture 4 input node neurons, 6 hidden node neurons and 1 node output neuron. By using the MAPE calculation (Mean Absolute Precentage Error) the most optimal value is 6.0154830745999%.
Pengembangan Aplikasi Mobile Pengaduan Masyarakat Pada Dinas Perhubungan Kota Malang Menggunakan Fitur Location Based Service Berbasis Android Fegi Eriyani; Bayu Priyambadha; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Public complaints are needed in an agency to find out the success of the work, improve deficiencies and receive advice from the tasks that have been carried out. Public complaints usually occur in the field of facilities and public services, where the sector is handled by the Department of Transportation. The public complaint has not been conveyed properly, making the community confused about who to complain to. So in this study discusses about developing a public complaint application on the Transportation Department of Malang City based on Android to facilitate the public in reporting complaints. This application uses the Location Based Service feature that is used to make it easier to find the location of the reporter. Public complaints application can send proof of complaints that occur such as photos through the smartphone application by taking photos from the camera directly or from the reporter's smartphone gallery. Mobile applications are implemented using the Java programming language while the web for administrators is built using the Laravel Framework. This application is tested using whitebox testing for unit testing and integration testing, blackbox testing for testing validation and usability testing. The test results on the application of public complaints state that this application can run as needed and can be used easily by users by having a 83,75 System Usability Scale score or can be said to be acceptable.
Diagnosis Tingkat Risiko Penyakit Stroke Menggunakan Metode K-Nearest Neighbor dan Naive Bayes Annisa Puspitawuri; Edy Santoso; Candra Dewi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Stroke is a disease that arises due to the dissolution of blood supply to the brain because of bursts in the blood vessels or there was a blockage of blood clots. The supply of oxygen and nutrients to the brain stops and can cause damage to the tissues in the brain. Stroke is number one leading cause of disability and number three cause of death after cancer and heart disease. Based on Riskesdas data, stroke prevalence in Indonesia in 2013 has increased when compared with Riskesdas data in 2007 with a value of 8.3%, increase up to 12.1% per 1,000 population. Therefore, we need an action to detect the level of risk of stroke to be immediately addressed in accordance with the level of risk. This research proposes an application of diagnosis of stroke risk level using K-Nearest Neighbor and Naive Bayes methods, because the data obtained using numerical and categorical attributes. K-Nearest Neighbor algorithm is used to process numerical data, and Naive Bayes algorithm is used to process categorical data. The results showed that the highest accuracy value obtained in the balanced class data was 96.67% with 45 training datasets, 30 testing datasets and value of K=15-22. Meanwhile, the training datasets that is not balanced shows the highest accuracy of 100% with the number of training datasets is 60, 30 testing datasets and the value of K=20-30.
Implementasi Sistem Operasi Real-Time pada Arduino Nano dengan media Komunikasi NRF24L01 Untuk Pengukuran Suhu, Kelembaban, dan Intensitas Cahaya Eka Nanda Sugianto; Wijaya Kurniawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In building system node sensor for smart home monitoring needed an operating system so that tasks can be executed simultaneously. By running tasks simultaneously, performance of the system monitoring smart home expected to running properly. If not, then the smart home monitoring system will work improperly such as experiencing a decrease or increase in temperature significantly due to lack of timely processing of data and the delay in making a decision that should not occur in a smart home monitoring system. In addition, the operating system must be in real-time because a smart home monitoring system is expected to be able to make decisions and provide the right information in the actual time. To resolve the above problems, RTOS (Real Time Operating System) is one of the appropriate operating systems in executing tasks simultaneously and it's also real-time. To apply RTOS to the Arduino Nano microcontroller, FreeRTOS library is needed. This sensor node system is divided into 2 node, namely client node and base node. The wireless communication media is using nRF24L01. The client node consists of the Arduino Nano microcontroller, LDR sensor, DHT11 sensor, and nRF24L01. While the base node consists of an Arduino Nano microcontroller and nRF24L01. The number of tasks on the client node is 3 tasks while at the node base is 2 tasks. Implementation for method is using Preemptive Priority Based-Scheduling. From the test results, tasks can run according to the priority given. The vTaskDelay function to set the execution time of each task is running as it should.
Pengaruh Motivasi Belajar, Minat Belajar, Keadaan Sosial Ekonomi Keluarga Siswa Terhadap Prestasi Belajar Kelas X dalam Menempuh Program Keahlian Teknik Komputer Jaringan (Studi pada: SMK Negeri 2 Malang) Indah Puspitasari; Faizatul Amalia; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Computer and Network Engineering (TKJ) in one of the skills programme at State Vocational High School 2 Malang. Successful learning process could be known by student's learning achievement. Learning achievement could be influenced by several factors, which are motivation, learning interenst, and family socio-economic condition in this research. So this study aims to determine the effect of motivation, learning interest and socio-economi condition towards learning achievement, by individually and simultaneously analysis. The subject of this study were grade X students of TKJ skills programme. The population were 106 students and sample used was 30 students with simple random sampling technique. Analysis used were descriptive analysis, classic assumption tests include normality test, linearity test, multicollinearity test, heteroscedasticity test and autocorrelation test. As well as hypothesis testing carried out by simple linear regression test and multiple regression. The results concluded that learning interest, learning motivation and socio-economic conditons have no effect toward learning achievement. As well as by simultaneously analysis between learning motivation, learning interest and socio-economic conditions don't effect learning achievement. Hence, Ho is accepted and Ha is rejected. It could be seen from the results of the significance values consecutively, which are: 0.91> 0.05; 0.67> 0.05; 0.12> 0.05 and 0.47> 0.05.
Identifikasi Kerusakan Mesin Pada Sepeda Motor Menggunakan Metode Modified K-Nearest Neighbor (MKNN) Adhiyatma Mugiprakoso; Nurul Hidayat; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The transportation vehicle most used by the public today is motorcycles. According to data from the national statistics center, 81.5% of the transportation equipment used by the public is motorcycles from all transportation equipment in Indonesia. Motorcycles have advantages compared to other transportation equipment such as low maintenance costs, affordable prices, economical fuel and low maintenance costs. On motorcycles there can also be various problems with the engine which can interfere with driving comfort or even accidents. Many of the motorcycle riders have little knowledge of motor engine damage. Of the many classification methods that can be used to repair machine damage, one of them is the Modified K-Nearest Neighbor (MK-NN) method. The method studied the pattern of previous examination data based on symptoms of demage with eucledian distance calculation process, calculation of validity value and weighted voting calculation that the end result is used for class classification determination based on predetermined value of k. To identify damage to a motorcycle engine by using 9 types of damage with 13 symptoms and a total of 110 training data. The highest accuracy obtained from the test results was 86.67%.
Klasifikasi Fungsi Senyawa Aktif Data Berdasarkan Kode Simplified Molecular Input Line Entry System (SMILES) menggunakan Metode Modified K-Nearest Neighbor Yunita Dwi Alfiyanti; Dian Eka Ratnawati; Syaiful Anam
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Compounds are single chemical substances from two or more chemical elements that form bonds and can be described. The compound is divided into active compounds and inactive compounds. Active compounds are chemical compounds that have pharmacology or usability. Compounds have an arrangement that is difficult to process on a computer, for which code is created that is easy to process using a computer. The code is a SMILES (Simplified Molecular Input Line Entry System) which is a code of modern chemical bonds that will be converted into a line to facilitate the classification process in the system. The special character of SMILES is obtained by doing preprocessing with the results of 11 features consisting of B, Br, C, Cl, F, I, N, O, P, S and OH atoms. These features are then used for the classification process using the Modified K-Nearest Neighbor method, where this algorithm is the development of the KNN method which consists of two processing, training data validation and weighting. The classification of the function of active compounds aims to facilitate the grouping of active compounds based on their pharmacology through the help of information technology and computer science degeneration, which so far in the medical field requires a long time in its determination because it uses laboratory tests. Tests that have been conducted using 260 data are divided into 2 categories of classes, namely the Neural class and the Heart class which consists of 90% (234 data) training data and 10% (26 data) test data. The test gets results in the form of an accuracy value of 73% with a k value of 3, whereas in the k-fold cross validation test the value of accuracy is obtained an average of 62.69%.
Analisis Kinerja Dan Konsumsi Sumber Daya Aplikasi Web Server Pada Platform Raspberry Pi Andhika Dwitama Putra; Widhi Yahya; Adhitya Bhawiyuga
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays, the utilization of single board computer in the current digitalitation era is developing rapidly. One example of Single Board Computer is Raspberry Pi. The limited hardware specification makes the resource allocation consumed by Raspberry Pi also limited. Web server application has a role in affecting resources performance and consumption in the Raspberry Pi platform. This research aims to figure out which web server that has a good resources performance and consumption in Raspberry Pi. The test method done includes the resources performance and consumption test by using several parameters: throughput, average response time, cpu and memory power usage, while the web server application compared including Apache, Nginx, Lighttpd, Apache Tomcat, and Jetty. The test is using user as an input parameter in the amount of 250, 500, 1000 and 1200. Based on the test result as well as the analysis, Nginx have the best performance based on the highest score of throughput with 357 KB/s and the lowest score of average response time with 1117 ms in serving 1200 user and using data to the test in the amount of 1.536,1 Kbytes and Lighttpd have the best resources consumption based on the lowest score of cpu usage with 4,46 % and the lowest score of memory usage with 22,16 % in serving 1200 user and using data to the test in the amount of 1.019,1 Kbytes.
Implementasi Perangkat Gateway Untuk Pengiriman Data Sensor Dari Lapangan Ke Pusat Data Pada Jaringan Wireless Sensor Network Berbasis Perangkat nRF24L01 Tsany Afif; Adhitya Bhawiyuga; Reza Andria Siregar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Internet of Things (IoT) is currently developing technology. Wireless Sensor Network (WSN) is one of technology that use IoT scenario. In the implementation of WSN concept there is constraint on the limited resources that they have. Limited resources cause WSN data processing need to be handled in other systems such as data center. Therefore, to connect communication between sensor node and the data center, gateway device is needed. In this research gateway device will be implemented to bridging communication between sensor nodes and data centers. Communication between gateway and sensor nodes can use the nRF24L01 module which has advantages in low power consumption and supports RF24Mesh protocol which can be applied to wireless sensors. Communication between the gateway and data center can use the MQTT protocol, where this protocol is suitable for devices with limited resources and low bandwidth. The successful rate performance of the gateway built with the nRF24L01 wireless communication module show that the gateway performance at 20 meters distance with 50 Byte packet size and 1 second delay packet delivery has the best performance. Delivery at 30 meters distance and 150 Byte packet size cannot be done because exceeding the distance range and the packet size.
Pengembangan Sistem Informasi Pendataan Rak dan Perangkat Server Berbasis Web (Studi Kasus Pada PT. Indosat Ooredoo Surabaya) Dinda Ayu Rudyana Putri; Ismiarta Aknuranda; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

PT. Indosat Ooredoo is one of the telecommunications service providers in Indonesia. To support the smooth running of services, of course, better management of server space is needed. Servers that can be submitted are a very vital part of telecommunication network activity. In the Engineering Division, there are several problems that occur in the business process at PT. Surabaya Indosat Ooredoo. One of them, the Engineering Division does not yet have the resources that are capable of managing the server properly. Data collection activities on each rack and server device still use manual techniques using Microsoft Word and the Sketchup application. Based on the description of the importance above, it is necessary to improve the data collection business processes and device servers and by building a data collection information system and server devices. To develop an information system, the researcher uses one method, namely the Waterfall Model. In the Waterfall Model method 4 phase definitions, systems and software design are needed, implementation and unit testing and integration and unit testing. In the requirements analysis until the design of the researcher uses the Object Oriented Design and Analysis (OOAD) method to overcome errors in determining the user needs needed by the system. After the requirements analysis and design are carried out next, testing on the implementation of information systems rack data collection and server devices using functional and nonfunctional testing. On functional testing using a validation test with 18 functional requirements with results, 100% valid and nonfunctional tests using the browser compatibility validation test using SortSite software. The reported test results have 2 critical problems in Firefox browser version 63 and chrome version 70.

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