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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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Evaluasi Usability dan Perbaikan Rancangan Antarmuka Pengguna Situs Website Jurusan Teknik Kimia Universitas Brawijaya Dengan Menggunakan Metode Human Centered Design (HCD) Tri Kantun Erestini; Retno Indah Rokhmawati; Admaja Dwi Herlambang
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

Chemical Engineering Department is one of department known as a part of Engineering Faculty in Brawijaya University. There are 5 pages on its website which everyone able to access such as Homepage, History Profile, Student Achievements, detailed information of Student Achievements in 2016, and Laboratory Facilities. The outline of problem occured during interview is an information buildup, some thick content placement, lack of information explanation from displayed image, inconsistent language and font usage, less precise colour mix used for website component, detail loss on existed link, ineffective information examination and limited menu navigation. Referred method which is used for improving interface design of Chemical Engineering Department website is Human Centered Design (HCD). HCD is a method applied to design newest solution, conforming on user requirement. Thereafter do the usability testing on the first and last evaluation. There are 3 metric usability used as parameters of success: Effectivity, Efficiency, and Satisfaction. Result shown for Success 70%, Non Critical Error 22.5%, and Critical Error 7.5%. Efficiency metric enhance 22% after website improvement. Therefore satisfaction aspect for an improved interface design reach "Acceptable" grade.
Klasifikasi Jenis Audio Berdasarkan Kondisi Psikologi Menggunakan Kombinasi Algoritme Self Organizing Maps dan Learning Vector Quantization Rayhan Tsani Putra; Imam Cholissodin; Candra Dewi
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

The characteristics of each type of audio have different effects on human emotions as well as what activities are being performed. The most common case in most societies is listening to music that has been commonly heard without caring about the right conditions. It would be better if you can maximize the positive impact of the audio. Classification of audio types will be very helpful in determining the appropriate audio type. This study classifies the type of audio based on one of the psychological conditions of emotion and also some types of activities using a combination of SOM-LVQ algorithms (Self Organizing Map and Learning Vector Quantization). SOM is used as an algorithm that accompanies and trains initial weights for LVQ because it has a structure and workflow similar to LVQ. Feature used in this research is 11 which consist of psychology condition and activity type. There are 4 types of audio that became the class in this study. The maximum accuracy obtained in this study was 89.583%. The SOM-LVQ algorithm combination achieves the maximum accuracy with 4 training iterations, while LVQ requires 6 iterations to achieve maximum value. Although with the same accuracy, SOM-LVQ is faster to get the optimal value.
Sistem Pendukung Keputusan Penentuan Prioritas Perbaikan Jalan Menggunakan Metode AHP-TOPSIS (Studi Kasus: Dinas Pekerjaan Umum dan Penataan Ruang Kabupaten Ponorogo) Firdaus Rahman; Muhammad Tanzil Furqon; Nurudin Santoso
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

Road infrastructure has an important role in supporting the economic, social and cultural sectors. Approximately 49.12% of the total district road length in 2013 is included in the good category, 24.16% included in the medium category, slightly damaged 16.64% and heavily damaged 10.08%. The strategic target of the Directorate General of Highways is the stability of the road area reaches 70%. In the implementation of road improvements by the Office of Public Works and Spatial Planning of the Ponorogo District, it is necessary to consult the priority of road improvement. Modifying road priority priority with AHP (Analytical Hierarchy Process) method - TOPSIS (Preferential Technique with Equalization with Ideal Solution) combines several interrelated factors in road improvement process including: good road conditions, road conditions, defective road conditions, road conditions severely damaged, daily traffic, access, secrets of segments and regent policies. From this study. The low level of system required in the case of there are still some individual interests so there is still mismatch target in the implementation of existing roads.
Analisis Pengalaman Pengguna Permainan Multiplayer Online Battle Arena (Moba) Dengan Menggunakan Game Experience Questionnaire (GEQ) Pada Game Dota 2 Rachmad Soleh; Retno Indah Rokhmawati; Komang Candra Brata
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

Multiplayer online battle arena (MOBA) is a genre of strategy video game, each player controls one "hero" on one team. MOBA provides a strong competitive atmosphere thereby providing a different experience to each of its users. DotA 2 is one of the most famous MOBA games. The user experience is very important for the success of a game. Playtesting method used to analyze the user experience of DotA 2 by using Game Experience Questionnaire (GEQ) as instrument to 25 respondents who have never played the game. The result of GEQ Core Module shows competance and negative effect significantly lower than median which proves that new users have no good ability and not feel the negative effects while playing DotA 2. In the GEQ Social Presence Module shows the highest average score obtained negative feelings that proves new users felt strongly negative feelings when playing with other players. While in the GEQ Post Game Module showed new users felt positive experience and not felt the negative experience, they felt tired and found it a bit hard to return to the real world after playing DotA 2.
Implementasi Load Balancing Pada Server Dengan Menggunakan Algoritme Least Traffic Pada Software Defined Network Nur Fauzi; Widhi Yahya; Adhitya Bhawiyuga
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

On the use of the computer network technology continues to evolvefrapidly. One of the solutions to these problems are Software defined network liquid separating the concept of control plane and data plane. Control plane SDN is programmed allows to implement a wide range of applications, including network load balancing. Load balancing server performance Test liquid distribution in mere play every request and divides the incoming requests to be given to a server by providing the same service. There are several algorithms of load balancing that is used in one round-robin algorithm, but the algorithm does not pay attention to the traffic. An important aspect of liquid traffic to choose the path the sound server. In this research. A load balancing algorithm is used in this researchis the Algorithm a little traffic the algorithm allocates liquid special lines to the server with the shortest traffic. This algorithm will be tested and performance analyzed. This test is used in the test is has the functionality, throughput, packet loss, and time korvegensi. On testing the functionality of server-mapping algorithms a bit traffic handling big demand from the clients is better than a round-robin algorithm because the algorithm at least traffic would not choose the path to the server that there is a burden of the past Cross and will choose the path to another server. Throughput testing of the algorithm a little traffic is superior compared to the round robin algorithm on a high category. While the Pack lost the roud robin has an average of 6.96% higher than little traffic with an average of 2.97%. On the results of the test of convergence, convergence time is the time gained Round Robin Algorithm is 10.51 seconds compared to 14.80 seconds time obtained the algorithm a little traffic
Identifikasi Hama Dan Penyakit Pada Tanaman Sedap Malam Menggunakan Metode K-Nearest Neighbor Ikhlasul Amal Faj'r; Nurul Hidayat; Donald Sihombing
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

Tuberose (Polianthes Tuberose) is one of the ornamental plants that comes from the family Agavaceae which has many benefits. But in the cultivation found several obstacles, including pests and diseases that are very influential on growth and flower production. To facilitate farmers to identify pests and diseases, then needed a system, one of the methods that can be used is k-nearest neighbor. After the implementation and testing, the results obtained with the highest accuracy of 94%. Thus, it can be concluded that k-nearest neighbor algorithm on pest and plant flower diseases identification system can be applied well so that it is very beneficial for tuberose flower farmers.
Implementasi Algoritma Distributed Color Selection untuk Mengatasi Collision Multi-reader pada Sistem RFID Ridzhal Hachim Wahyunanto; Sabriansyah Rizqika Akbar; Rizal Maulana
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

Radio frequency Identification (RFID) is an automatic identification technology that transmits data via radio frequency electromagnetic ranging is applied to various fields, replacing the other automatic identification system. However, RFID has a fatal weakness, that is very vulnerable on collision data, that caused interference between signals the reader to each other. In this problem required an anti-collision algorithms to resolve the collision. in this study the algorithms used are Distributed Color Selection (DCS). DCS is anti-collision algorithms based Time Division Multiple Access (TDMA) that uses the specified time interval called timeslot. Each reader choose timeslot each and when the system began, the reader will only be active in accordance with selected timeslot. The system was tested using the RFID reader module MFRC522 13.56 MHz and RFID tags 13.56 MHz with the different variation number of readers and the total number of timeslot customized with number of readers. RFID is connected to the Arduino Uno microcontroller and the results are displayed on serial monitor Arduino IDE which then calculated the efficiency of identification works. The result of calculation and testing can be inferred, the highest efficiency when using 2 readers for identification without the use of algorithms is 40% while using DCS is 100% Results for used 3 readers without the algorithms was 10% while using DCS is 80%. As well as using 4 readers without algorithm is 0% while using DCS is 70%.
Evaluasi Website Fakultas Ilmu Komputer Universitas Brawijaya Malang Berdasarkan Presepsi Pengguna Website Dengan Menggunakan Metode Webqual 4.0 Dan Kirkpatrick Nur Azizah Mutmainnah; Ari Kusyanti; Yusi Tyroni Mursityo
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

UB's FILKOM website is useful as a media publication and also online services media to support information requirement for students, lecturers, and academic community. As one of the websites, which are crucial for the institution the website provided must have a good quality. The lack of actual information on the FILKOM website becomes one of the problems. The quality of a website can be evaluated from the information available, the view, and the services it contains. However, not all website users are satisfied with the website, so the need to evaluate the website. Evaluation is needed to determine the feasibility of the quality of the website. The study aims to examine and determine the quality of the website FILKOM. This study uses a Webqual 4.0 analysis model that can measure the quality of information, the quality of service interaction, and the quality of the usability available on UB's FILKOM website. Having known the value of the quality of the website FILKOM, conducted Kirkpatrick evaluation to strengthen the results of research to be accepted by users and also as a reference for the website developer. The analysis used is SEM-PLS, where the analysis explains the quality of information, the quality of service interaction and the quality of usability on the FILKOM Website. The few things that are found in this study and need to be addressed include: monitoring and periodic updates regarding information contained on the website FILKOM so that users of the website to get better information and actual, then requires improvements to FILKOM Apps features because there are many features that do not work , and improvements to the menu view to make it look simpler
Sistem Pakar Diagnosis Penyakit Sapi Ternak Potong Menggunakan Metode Naive Bayes - Certainty Factor Dhimas Tungga Satya; Nurul Hidayat; Sutrisno Sutrisno
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 low ability of domestic farms to fulfill necessity of beef and cow's milk is caused by many things. One of them is a disease. Such as anthrax, snore of cow disease, brucellosis and diseases caused by parasitic gastrointestinal worms which are the most agent of decreasing levels of beef and dairy production by breeders. Currently expert resources in diagnosing cattle diseases are limited, it takes an expert system that can replace the role of experts in diagnosing diseases in cattle. In this study to implement the expert system diagnosis of cattle disease using method Naive Bayes - Certainty Factor. Using the Naive Bayes - Certainty Factor method results in accurate and accurate diagnostic accuracy, since the output produced by the system has a level of accuracy of 92% and the system created has a user satisfaction level of 3.19411.
Implementasi Fuzzy Time Series untuk Memprediksi Jumlah Kemunculan Titik Api Rizki Agung Pambudi; Budi Darma Setiawan; Satrio Hadi Wijoyo
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

Fire occurrence rates in Indonesia increases every year. Fire occurence which increases every year proves that people doesn't really care about the said disaster. Hotspot can be used to identify the event of fire. Fire can be observed through satellite by detecting hotspot on Earth surface. That's why, there is a need for research to predict the number of hotspot which identify fire disaster in a certain time. This research proposes and creates program to predict the number of hotspot occured in Java island using Fuzzy Time Series. The data used is hotspot data in Java island from January 2012 to December 2016. Testing is done to know the accuracy of the number of hotspot prediction in monthly and 10 days period. The best monthly hotspot prediction has MAPE value of 37,128% with the parameter of training data = 80%, testing data = 100%, and the number of interval = 22. The best 10 days period hotspot prediction has MAPE value of 64,4429% with the parameter of training data = 100%, testing data = 20%, and the number of interval = 6. Further research can be done to repair the MAPE from the prediction result.

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