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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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Implementasi Metode Improved K-Means untuk Mengelompokkan Titik Panas Bumi Al-Mar'atush Shoolihah; Muhammad Tanzil Furqon; Agus Wahyu Widodo
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

Disaster is an incident or a series of incidents that threaten and disturb people's lives and livelihoods caused by both natural and / or non-natural factors. One of the disasters that happen is fire. Fire is a flame that occur either in small or large size, burning in an unexpected area and difficult to control. Therefore, early prevention is needed. one of the way is with geothermal point which is detected by the satellite. It is used as the indicator of land and forest fires in a region, so that the more geothermal point exist, the more potential for landfill incidents in a region. Hence, it is necessary to implement a system that can cluster the geothermal point data that has the potential in causing fire with farious status such as high, middle, and low potential. Improved K-Means is one of the most popular clustering methods and it can be used for geothermal point grouping. This algorithm performs clustering process based on the maximum distance as the cluster center and the cluster center distance will be calculated with the other data to be grouped. The calculation is done continuously until the data clustering does not change. That case is proven in this research where the evaluation result that uses silhouette coefficient give the highest point of 0.908000874 for the value of cluster 2 and the amount of data 700.
Aplikasi Penentuan Lokasi untuk Usaha Lapangan Futsal di Kecamatan Bangil Menggunakan Metode Fuzzy Tsukamoto Muhammad Alfian Nuris Shobah; Edy Santoso; Sutrisno Sutrisno
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 7 (2018): Juli 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The system is built with the aim to help predict the results of operations of futsal in Bangil. In futsal open businesses have competitor input, the number of residents, the facilities, the size of the field. And this system produces an output stratification business opportunities, namely the village suitable for open futsal field. These systems are processed using fuzzy logic reasoning method Tsukamoto. The purpose application made to function as expected that is able to help resolve problems that arise and are difficult to solve because of an uncertainty which is very thin difference. From the data obtained will be an Tsukamoto fuzzy calculation that produces an output to be able to predict the circumstances that will occur from the input-input affecting. From the test results the decision-making system of determining the right location to open futsal in Kecematan Bangil with Tsukamoto method to 7 futsal some courts have precisely select locations, but the majority is still not right.
Implementasi Metode Ensemble K-Nearest Neighbor untuk Prediksi Nilai Tukar Rupiah Terhadap Dollar Amerika Rezza Hary Dwi Satriya; Edy Santoso; Sutrisno Sutrisno
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

The exchange rate is the currency unit price agreed by each country as a means of payment or transaction. The most used exchange rate in Indonesia is the rupiah exchange rate against the dollar. The dollar is the most stable currency in the economy. The high or low of the rupiah exchange rate is influenced by rates of interest, inflation, exports, imports, and sovereign debt. The exchange rate also has an important role in determining economic policy. In order to obtain an appropriate economic policy in the future situation and conditions, it is necessary to use a solution by using Ensemble kNN algorithm to predict the future rupiah exchange rate. The count of data was used in this research are 24 data training and 12 data testing. The data training and testing consists of 5 parameters, such as BI rate, Inflation, Export, Import, and sovereign debt. The Ensemble kNN algorithm uses a supervised learning, which the data testing is classified based on the majority of classes on kNN. The principle of kNN is to find the K variable from the data training which having closest similarity to the data testing. Ensemble technique is used to optimize kNN algorithm to get more accurate result. The result from this prediction system was evaluated by using MAE, MAPE and RMSEP. The obtained value of MAE buy = 456.56, selling MAE = 460.96, MAPE buy = 3.47%, MAPE selling = 3.47%, and RMSEP buy = 534.88, RMSEP selling = 540.07. The final result is the conformity of result and the pattern which produced between the predicted data and the actual data.
Pendeteksi Jenis Autis pada Anak Usia Dini Menggunakan Metode Linear Discriminant Analysis (LDA) Edwar Budiman; Edy Santoso; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 7 (2017): Juli 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Every human that live into the world is surely will pass several phase into their life's, like growth phase, development phase, etc. Several change in physical appereance in child called growth, and development is obtained through process of social and psychological. There's a time in child phase called golden age, it's where the most critical time of growth and development in child, must be put to a good use because golden age will never come back. In time when child reach the golden age, to prevent anything harm to the child, as a parent must know all the things that affect the child. One of the things that can be experienced by the child is autism. Autism is mental condition that characterized by having difficulty in social life and some of them is having trouble with physical too. In Indonesia, 1 from 590 child is diagnosed by autism, and this number is increasing in each year. So to prevent this, early intervention to autism is needed to make child have the right treatment and to decreasing the symptomps of autism. There are three types of autism, slight autism, regular autism, severe autism according to condition of the people that having autism. Classification that can help to identify autism is linear discriminant analysis (LDA) method. LDA method also have good accuracy to identify autism. With 75 data, system with LDA method can identify autism with 88% accuracy
Peramalan Produksi Gula Pasir Menggunakan Fuzzy Time Series Dengan Optimasi Algoritma Genetika (Studi Kasus PG Candi Baru Sidoarjo) Afif Ridhwan; Dian Eka Ratnawati; 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

Production planning is done by PG Candi Baru Sidoarjo every year as an effort for improving the quality as consumers demand continues to increase. To optimize the production strategy PG Candi Baru should be able to estimate the next production target based on existing historical data. With fuzzy time series method which is optimized by Genetic Algorithm method, the writer wants to help solving the problem to predict the production of sugar, hopefully the research result can help as reference to be used as consideration to determine the amount of sugar production for the next month. Based on the result of testing the accuracy of predictive results using Mean Absolute Percentage Error (MAPE) method obtained the percentage of error rate 1.9% which means the qualification is good.
Iklan Online di Media Sosial : Risiko dan Kepercayaan Pengguna terhadap Iklan Online di Line@ dengan Metode Structural Equation Modelling (SEM) Studi Kasus : Line@ Berrybenka Maharani Essraningtiyas; Ari Kusyanti; Admaja Dwi Herlambang
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Online advertising is a media used by organizations or individuals to introduce products or services to the public on the internet. This study discusses the positive and negative impacts of online advertising. The model used is TAM (Technology Acceptance Model) combined with trust and perceived risk and analyzed by Structural Equation Modeling (SEM) in Line@ as a case study with 229 sample data. The results shows that user intention to transact online is not determined by the usefulness of online advertising as well as the ease of use of the system but because they accept and develop a positive attitude towards online advertising. In addition, the intention of users to transact online is also influenced by perceived risk because a part from considering the positive impact, users also consider the negative impact of online advertising before doing transactions on line@
Perbandingan Performansi Algoritme Kriptografi Advanced Encryption Standard (AES) dan Blowfish pada Text di Platform Android Muhammad Taufiqur Rahman; Aryo Pinandito; Eko Sakti Pramukantoro
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 12 (2017): Desember 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

To create an Android application, developers need to consider things other than security, such as application performance, because Android itself as a mobile device inherently has limited resources so that efforts to improve the performance of applications developed specifically for the Android platform needs to be done. Questions on developer forums such as Stackoverflow on which algorithms are performing better on Android platforms are emerging, to answer those questions there will be a performance comparison between two well-known and popularly used cryptographic algorithms, AES and Blowfish. The study chose two popular symmetric cryptography algorithms that are used: Advanced Encryption Standard (AES) algorithms and Blowfish algorithms to compare performance on the Android operating system. The data used derived from the generator data based on certain rules. Comparison of performance will be done with 3 parameters, namely: data length, key length, and differences in processor architecture. Testing each data is done 20 times to improve the accuracy of algorithmic performance. The test results show that the Blowfish algorithm has better encryption and decryption performance than the AES algorithm on testing of data length and key length, on testing of Intel AES processor is superior to 0.3-0.4 ms faster while on ARM processor Blowfish is faster by 0.2 Ms.
Pemodelan Sistem Pakar Untuk Identifikasi Kerusakan Kamera Digital Single Lens Reflex (DSLR) Canon Menggunakan Metode Dempster - Shafer Rihandiko Hari Romadhona; Suprapto Suprapto; Nurul Hidayat
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

Today's digital age computer development is necessary to alleviate human work, especially the development of the world of photography. Various photographic devices that support to recieved humans have increasingly sophisticated. One is a Digital Single Lens Reflex camera (DSLR). Therefore this camera very popular by the public. But there is problem if the camera is damaged. Dempster - Shafer has been successfully applied in real-world problems and provides better solutions, where Dempster - Shafer can applied to multisensor and / or multisumbered data including data from remote sensing. Subjects in this research is the application system using Dempster - shafer method as detection medium on damage to Digital Single Lens Reflex (DSLR) camera. Collecting data in research by doing with expert. The result of this research the application system for identification of Digital Single Lens Reflex (DSLR) camera damage using Dempster - shafer method containing various symptoms, kinds of damage solution and result of detection based on knowledge base of experts or experts in Digital camera field Single Lens Reflex (DSLR). From the test cases that have been done the results accuracy level of testing is 90% indicating the system works well in accordance with the method Dempster - Shafer.
Implementasi Algoritme Dijkstra pada Webgis untuk Pencarian Lokasi SPBU di Kota Malang Mega Yuda Rukmana; Fatwa Ramdani
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

Malang is the second largest city in East Java, which has an annual increase of 9.98% or 81.934 people. Immigrants (visitors) as new residents are difficult to find gas stations as needed in the middle of traffic and lack of information about the location and the shortest route that can be taken. To overcome this problem, this research uses Geographic Information System (GIS) application based on web that can channel information about the path that can be taken to speed up the searching process by following the shortest route path using Dijkstra algorithm that has been produced. The methodology used in this research is literature study, data collection, application of Shorttest Bastpath, WebGIS development using Dijkstra Algorithm to calculate the shortest route, test and analysis of the application that has been built, and conclude the research result. The nearest route information can be obtained by using Dijkstra Algorithm to determine the closest distance of SPBU in Malang City. Recommendation to the visitor is done by giving checklist of SPBU feature based on survey result to 26 SPBU in Malang City combined with Dijkstra Algorithm. Applying Bastpath to Dijkstra's Algorithm by digitizing the provincial or national path (protocol road) in overlay with googlemap with roadmap map type obtained good accuracy.
Implementasi Jaringan Sensor Nirkabel Dengan Metode Pengiriman Pembagian Slot Waktu Pada Sistem Deteksi Parkir Sepeda Motor Zonnete Bryllian Dheo; Sabriansyah Rizqika Akbar; Edita Rosana Widasari
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

The conventional methods of vehicle detection system in parking area, usually use a microcontroller as a control system, sensor as component to collect data and cable as data transmission media. The system use one microcontroller to process data from many sensor nodes simultaneously. This situation can cause a problem called data collusion. When data which transmitted simultaneously, it can be interfering each other and allowing the loss of information transmitted by each sensor node. Furthermore, utilization of the cable as a media communication data is considered less efficient when used in the scope of a large area when compared it with the ease of wireless personal communication media that are practical and easy installation process. Against these problems, this research applied a method of scheduling data transmission using Time Division Multiple Access (TDMA) protocol on each client node to avoid collisions. Also applied equalization method of Time-synch Protocol for Sensor Network (TPSN) to support the scheduling method. Furthermore, in this research purposed a method based on wireless data communications using wireless module nRF24L01. Based on the result of implementation, showed that the client node can transmit data according to the schedule that has been obtained without colliding. The data transmission has been successfully carried out in accordance with the delivery time slots that have been applied, where the implementation of delivery time slots are divided into five slots. Implementation time equivalency also been successfully implemented with the average time in the process of equalization of less than 50 seconds.

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