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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 6,923 Documents
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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.
Optimasi Pemetaan Tugas Mengajar Dosen Menggunakan Memetic Algorithm Okvio Akbar Karuniawan; Nurul Hidayat; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Submission of information relating to teaching and learning activities is very important, one of the first things to consider is scheduling. At Faculty of Computer Science (FILKOM) Brawijaya University, the assignment process is still manually designed where it requires some substantial time, therefore it needed a right optimization methods in dealing with this case. This assignment problem can be solved by a population-based heuristic methods, Memetic Algorithm (MA) which has been applied in various fields such as scheduling and assignments. The data used in this study is the data division of lecturers teaching tasks as a priority of lecturer's teaching interests to a course. From the obtained data, it determined constraints such a lecturer's teaching priority, the maximum and minimum amount of credits, and the number of course that can be taken to calculate fitness value for each particles. Through the obtained results, it had parameter tested to find the effect of tested parameters on the resulted fitness values. From MA parameters test results, it obtained the best population number as 100, best iteration number as 100, and combination of parameter cr and mr as 0,8 and 0.2 with resulted fitness value as 87830. From the results of system, The fitness value of the test is optimal solution of generation 100 because the stop conditioning memetic algorithm is a maximum iteration. But the results do not guarantee if the value of Cr is getting smaller and the greater the value of Mr will produce better fitness.
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.
Penerapan Metode Neighbor Weighted K-Nearest Neighbor Dalam Klasifikasi Diabetes Mellitus Dendry Zeta Maliha; Edy Santoso; Muhammad Tanzil Furqon
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Diabetes mellitus is a critical illness caused by abnormal irregular insulin secretion in an increase in blood sugar. Diabetes mellitus can increase glucose in the body, resulting in complications that can lead to several risks, namely heart disease, stroke, kidney failure, death and blindness According to the World Health Organization (WHO), as many as 300 million people in the world will be affected by diabetes by 2025 In addition there are some diseases that have early symptoms that are almost similar to diabetes mellitus, if you make a mistake to analyze it will be fatal in people with diabetes mellitus. Therefore an application is needed that can facilitate the classification of diabetes mellitus. In this study propose the application of the Neighbor Weighted K-nearest Neighbor method in the classification of diabetes mellitus. The NWKNN method uses weighting in the data class. The results showed the average accuracy using the value of K = 15 and the value of E = 2 obtained an accuracy of 92.3% in the training data of 130 data divided into 10 fold and test data as many as 13 data in each fold.
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.
Klasifikasi Citra Makanan Menggunakan HSV Color Moment dan Local Binary Pattern dengan Naive Bayes Classifier Karunia Ayuningsih; Yuita Arum Sari; Putra Pandu Adikara
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

Food is a basic need that must be fulfilled in human life. Eating habits can lead to good and bad habits. Bad eating habits can cause various diseases. Komunikasi, informasi, dan edukasi (KIE) can provide education on eating habits. Food has a variety of types, it is necessary to recognize the type of food to make it easier to identify good types of food. The purpose of this study is to be able to provide education to recognize the types of food. The process begins with image identification using pre-processing to separate between food objects and background. On top of that, using the Hue Saturation Value (HSV) color extraction feature consists of the feature Mean, the Standard Deviation, and the Skewness. Then is the use of the Local Binary Pattern (LBP) texture feature extraction produce feature extraction uses gray scales in the histogram. The results of feature extraction from each image are then carried out using the Naive Bayes Classifier classification. Based on the test results, the use of only the HSV method produces a 65% accuracy value. Meanwhile, the use the LBP method, get a 60% accuracy value. In addition, the results of tests that have been carried out using the HSV method produce an accuracy of 65% and the LBP method produces an accuracy of 60%.
Analisis Pengaruh Kepadatan Node terhadap Kinerja Protokol Routing DYMO dan DSR Pada Mobile Ad-Hoc Network (MANET) Muhammad Syaifuddin FP; Primantara Hari Trisnawan; 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

Mobile ad-Hoc Nertwork (MANET) is a technology that has the ability to adapt to the condition of mobile nodes. Each node has the same position that is doing a routing function that can determine and forward communication lines between nodes, so that a routing protocol is needed that can handle the exchange of data in providing an optimal routing path. The routing protocol used in this study is reactive routing, namely DYMO and DSR. The DYMO and DSR routing protocols route formation from the source node to the destination node based on the request of the source node. This study using Network Simulator 2.35 with a node density scenario using variations in the number of nodes totaling 50 nodes to 200 nodes with multiples of 10 nodes, and variations in data packet size using packet sizes of 512 bytes and 1024 bytes. Performance is measured based on average throughput, end to end parameters delay, packet loss, and average jitter with the best values in a row are 101.45 KBps in the data packet size of 512 bytes, 44.26 ms in the data packet size of 512 bytes, 2.36% in the size of a 512 bytes data packet, 1.72 ms in the data packet size of 512 bytes. These results were obtained on the DYMO routing protocol, so it can be concluded that the DYMO routing protocol has better performance than DSR in the aspect of node density with different packet size variations.

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