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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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Pengelompokan Artikel Berbahasa Indonesia Dengan Menggunakan Reduksi Fitur Information Gain Thresholding Dan K-Means Novia Agusvina; Indriati Indriati; Nurudin Santoso
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The increasing number of articles spread on the internet site, making it difficult for users to find the desired article. One of the online article service providers is Kompas.com. To face the competition among mass media industry, Kompas.com step is to provide features that facilitate the user, such as features related article recommendations. However, in its application Kompas.com is still less than the maximum so it remains inferior to other online mass media. In this study, researchers implemented a method of reducing the features of Information Gain Thresholding and K-Means to create a group of related articles. The purpose of this study is to improve the system related articles from Kompas.com. In implementing the use of java language. In the early stages of preprocessing to reduce the disturbance in the data, then the feature reduction is done to reduce the features used for faster process, then weighted as the basis for calculating the distance between documents, after finding the distance of the initial distance or centroid, grouping can be done. The results show that the clustering of articles using Information Gain Threshold and K-Means is good enough, has criteria of silhouette coefficient of 0.9595 and a purity measure of 0.75 with 3 clusters and 0.04 threshold limit, this conclude that it gives better purity compared to without feature reduction.
Penentuan Durasi Nyala Lampu Lalu Lintas Berdasarkan Panjang Antrian Kendaraan Menggunakan Metode Backpropagation Shibron Arby Azizy; Imam Cholissodin; Edy Santoso
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

Traffic is one location where people spend a lot of time. Currently with the rapid growth of vehicles makes conditions in Indonesia is getting crowded every day. One way to solve this problem is with traffic lights. However, the current traffic light performance is considered less than optimal. Therefore required a system that can determine the time, so the time at the traffic light can be more dynamic based on traffic conditions. This research uses backpropagation method to determine the duration of traffic lights based on queue lenght of vehicle. The result of the trained data test obtained is the Linear function with a = 3, the optimal iteration obtained at iteration 10, the optimal number of nodes in the hidden layer is 2, and the optimal value of learning rate is 0,02. The evaluation result when processing the test data using the optimal activation function, the optimal number of iterations, the optimal number of nodes in the hidden layer, and the optimal learning rate yields RMSE value of 0,0888978841028.
Pengembangan Sistem Penyewaan Kendaraan Kota Malang Berbasis Android menggunakan Metode Pengembangan MASAM (Mobile Application Software Agile Methodology) Meita Putri Aidha; Adam Hendra Brata; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Vehicle usage in Indonesia is increasingly, because the function of vehicle is very helpful for indonesian people. This is indicated by 111 million Indonesians already using vehicles. Penetration of vehicle rental services in Indonesia is predicted to increase with prediction 1.7% in 2017 and 2.3% in 2021. From survey collected by writer to 31 respondents, 96,8% of respondents need vehicle rental system in Malang City to facilitate them to search available vehicle and rent vehicle. Because to find available vehicle and rent vehicle, they still use telephone, SMS and social media. In this study the authors build a vehicle rental system. The platform used to develop this system is android, because 76.46% of Indonesian people use android. To develop the system, author decided to use MASAM as a development method which is one of the derivatives of the agile development method. The MASAM method supports rapid development and avoids complex development methods by utilizing the domain knowledge and UI Prototyping to find out the user desires. The results of usability testing obtained by using SUS method is 79.4 from customer and 72.5 from rental. So it can be concluded this system is acceptable and easy to use by the user.
Penerapan Algoritma Support Vector Machine (SVM) Pada Pengklasifikasian Penyakit Kejiwaan Skizofrenia (Studi Kasus: RSJ. Radjiman Wediodiningrat, Lawang) Arya Perdana; Muhammad Tanzil Furqon; Indriati Indriati
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

Schizophrenia is a disease that attacks a person's psyche, and resulting in behavior with an inappropriate mindset. One of the causes of a person suffering from schizophrenia is stress and also has severe life pressures from various aspects of life. Support Vector Machine (SVM) is an algorithm that can classify types of schizophrenia. The data used in this research is as much as 11 data which is divided into 5 classes. Classes in this study represent five types of diseases in schizophrenia are paranoid, hebefrenik, catatonic, undifferentiated, and simplex. Basically SVM algorithm is a method of linear classification, so that a kernel is used to overcome nonlinear data. In this research is also used One Against All concept to solve multiclass problem. The end result of this research resulted in the highest accuracy of 50.09%, with constant value λ = 1; C = 0,1; γ = 0.1; itermax = 100; ε = 0.01; and also uses polynomial kernels. Tests in this study using K-Fold Cross Validation test, using 11 fold.
Sistem Pendukung Keputusan Pemilihan Anggota Pengurus Harian Pondok Pesantren Menggunakan Metode Profile Matching (Studi Kasus Pondok Pesantren Putra Sabilurrosyad) Muhammad Atabik Usman; Edy Santoso; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Nowadays, computerization has often been a daily necessary which aims to facilitate our activity in all time. In order that, there were many problems which could be overcome by using the calculation in computerizing. For example, in term of organization, that is to elect the candidate of daily manager Putra Sabilurrosyad Islamic Boarding School which still possess obstacles, both in human source and time that were running out the time to elect the candidate of daily manager in Putra Sabilurrosyad Islamic Boarding School. In this study, the system will produce the software application that named the decision support system maker, which is to elect the candidate of daily manager in Putra Sabilurrosyad Islamic Boarding School. The result from this paper is the rating which is from the pupils who have been qualified, the output that was from the application provided and assisted in decision makers electing the pupils who will be the member of daily manager in Putra Sabilurrosyad Islamic Boarding School. The application implements using web based program. The result of this research using this profile matching method get the percentage of 97% accuracy level.
Perancangan Sistem Keamanan Motor Dengan Menggunakan State Machine Arycca Septian Mulyana; Wijaya Kurniawan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Based on data obtained from BPS (Statistics Indonesia) regarding motorcycle theft cases in Indonesia shows an increase in each year. So that makes people become more worried about the safety of two wheeled vehicles. There are many security systems of two-wheeled vehicles that have been circulating in Indonesia, but the price offered relatively expensive, thus making people reluctant to use it. To that end, the authors have made the design of motorcycle security system by using a State machine that utilizes multiple sensors and existing technologies. The sensor used is a fingerprint sensor and GPS sensor, coupled with some technology in the form of data transmission using SMS-Gateway. The fingerprint sensor is used to detect fingerprints from vehicle users, GPS as location readings and notices when two-wheeled vehicles move while parked, and SMS-Gateway as a location data transmission medium and two-wheel drive notification. In making the program will be used State machine as the method. Finite state machine has three basic elements, namely State, Event and Action. Based on the results obtained from testing on the system, it can be concluded with the existence of this system the safety level of the motor can increase, and the time obtained in the delivery and reception of data is relatively efficient or brief and the use of state machine on the system can run well.
Pengenalan Emosi Berdasarkan Ekspresi Mikro Menggunakan Metode Local Binary Pattern Nova Amynarto; Yuita Arum Sari; Randy Cahya Wihandika
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The basic human emotions have been widely investigated cross-culturally, one of them by using facial expressions. Through the micro expression on the face can be known even one's psychological emotions. Basic expression is universal means that the child or the blind can know or form a basic expression. Micro expression is an expression that appears subtle and unconscious. Micro expression is very difficult or even can not be hidden. This research uses Local Binary Pattern (LBP) method to get features of facial micro expression and classification using K-Nearest Neighbor (K-NN) method to determine the emotion of micro expression. The result of k-value determination test on K-NN classification method shows that when k value 5 and 7 is able to recognize emotion based on micro expression with 56,03% accuracy. The result of determination test of R value and P value on LBP method showed an increase of accuracy in emotional recognition to 63,83%. The test results on the dimension of the image shows that the dimension of the image that produces the best accuracy is 200×200 pixels with an accuracy value of 63.83%. The observation using distance method on K-NN classification shows that Manhattan distance calculation method can increase accuracy in emotional recognition to 70.21%.
Analisis Performa Routing SPIN (Sensor Protocol for Information Via Negotiation) pada Wireless Sensor Network Salsabila Salsabila; Rakhmadhany Primananda; Edita Rosana Widasari
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

Wireless Sensor Network is a network consisting of several nodes that have dynamic properties. This technology can be used to solve existing problems on routing. An example is SPIN routing. In this research the writer tries to analyze SPIN-BC and SPIN-RL routing, which SPIN-BC and SPIN-RL routing can overcome traffic queue on data delivery and can communicate more than one node (broadcast). The research aimed at determining the performance of SPIN-BC and SPIN-RL. routing anymore and the performance of both routing that were done by testing with some parameters. These parameters were Average Latency, Number Data Packets Forwarded, Tx Power, Number Tx.Frames and Memory Node. In the test that had been done by SPIN-BC and SPIN-RL routing with nodes of 4,8,12,16, and 20 had latency mean value of 0.01856 ms, while the SPIN-RL routing had an average value of 0.83633 ms. The average test of NB Packet Data Forward on SPIN-BC routing was obtained averaged of 1.605 ms and SPIN-RL was obtained average of 7.88917 ms. The average value that was obtained by TX Power on SPIN-BC and SPIN-RL routing testing was 0.63292 mw. Furthermore, the average result that was obtained from Nb Tx Frame parameter on SPIN-BC routing was 1.7 ms, while SPIN-RL was obtained average of 7.9 ms. Then the test of the average result from the memory node was on SPIN-BC 7,56 MB, and SPIN-RL 34,454 MB. Based on the average results above, it can be concluded that SPIN-RL had better performance compared with SPIN-BC, because SPIN-RL can cope with command transmission error that was caused by data loss.
Peramalan Suku Bunga Acuan (BI Rate) Menggunakan Metode Fuzzy Time Series dengan Percentage Change Sebagai Universe of Discourse Wiratama Paramasatya; Dian Eka Ratnawati; Candra Dewi
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

BI rate is the interest rate policy that reflects the monetary stance policy which set by the Central Bank of Indonesia and announced to the public. BI rate greatly affects the trade, industry, stock prices, and especially banking. If the policy rate set by the Board of Governors is not in accordance with the trend of economic conditions at a certain time it will have a negative impact on the economic condition of Indonesia. This is what causes the importance of BI rate forecasting in the hope that business players can anticipate the long-term impact of BI rate determination. This research implements fuzzy time series using percentage change as the universe of discourse to predict BI rate in certain period. This method focuses on forming the universe of discourse and the development of steps to form an interval. Based on the results of the tests that have been done, using the best variable values ​​are 12 as the initial interval length, 2 as the value of n-topFrequency 2, and 10 as the length of sub-interval produce MAPE of 0.09005%. The final result obtained is the result of BI rate forecasting according to the period that the user wants to forecast.
Analisis Perbandingan Algoritma Advanced Encryption Standard Untuk Enkripsi Short Message Service (SMS) Pada Android Fredianto Fredianto; Ari Kusyanti; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 10 (2018): Oktober 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Short Message Service (SMS) is a popular service among mobile phone users in Indonesia. The biggest security gap in SMS communications is that it can read messages and save them to the Short Message Service Center (SMSC) when an SMSC attack occurs. One solution to solve the problem is by encoding messages that are sent or better known as encryption. In this research, AES 128 AES, AES 192 bits AES and AES 256 bits are used for SMS message encryption on Android. The Elliptic Curve Diffie-Hellman (ECDH) protocol is used in key exchange mechanisms for encryption and decryption of messages. In this study obtained the longer the data will be the longer the process of encryption and decryption. In this research, there is no significant performance difference, it is proved by ANOVA test which has been done with each data length.

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