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Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
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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.
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Articles 6,850 Documents
Analisis Proses Bisnis dengan Menggunakan Business Process Model and Notation (Studi Kasus : Perum Perhutani Unit II Jawa Timur) Ellen Yanuarti; Ismiarta Aknuranda; Nanang Yudi Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Perum Perhutani is a state-owned company engaged in the forestry sector (in the forests of Java and Madura) and carries out the duties and authority to organize forest resource management activities (SDH) by taking into account aspects of production, economic aspects, social aspects and environmental aspects. Perum Perhutani uses Information Technology in carrying out its business processes, but does not yet have a Standard Operating Procedure (SOP) which is the benchmark and implementation of its activities. So that it is not clear yet the division of tasks in the activities of the business process and can hamper the purpose of a business process. Therefore, this topic to be studied specifically focusing on his business processes, production section, especially the production of teak and jungle. To find out where the problem, a model is needed. The business process model is needed to make it easier to understand the business processes that are currently running. Business processes are modeled using BPMN. The current business process problem is that only 3 actors are running on the business process so that it inhibits the current activity. After that, a proposed business process is made which involves 12 actors and additional activities.
Analisis Kinerja XBee Seri 2C Berdasarkan Jarak dan Besar Paket Data Ayu Dewi Khumairoh; Mochammad Hannats Hanafi Ichsan; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The choice of transmission devices in the technology of the Wireless Sensor Network (WSN) is very important. At present one of the problems that is still being examined in WSN technology research is the speed of data transmission. Because the energy requirements used by the system are getting smaller, it will result in more data transmission. To overcome this problem, a low-power RF XBee S2C device is chosen but data transmission performance is better. By analyzing the throughput value and Range-test analysis to find RSSI values ​​and the percentage of data sent, XBee S2C was tested with a variety of test distance traveled scenarios, namely 10 meters to 400 meters, and variations in the number of load-throughput testing packages, namely 1 byte to 255 bytes, and the number of packages in the range-test is 1 byte to 84 bytes. Loss packages are detected at a distance of 400 meters. The results of the analysis of throughput, distance and size of the package do not really affect the performance of XBee S2C data transmission. Pearson test results on throughput produce the highest value of 0.961231 (delivery with a distance of 10 meters), and the lowest yield is -0.96648 (delivery with a distance of 150 meters Pearson field test results on maximum Range-test were valued at 0.863349 at 300 meters test and a minimum value of -0.87328 at a distance of 300 meters. The range of the test range greatly affects the RSSI produced. However, the data sent remains stable from a distance of 10 meters to 300 meters with an average of 80-90% of data successfully sent, and new connections will be lost at a distance of 400 meters.
Perbandingan Sistem Kendali Ar-Drone Menggunakan Leap Motion Pada Node Js dan Labview Hendra Hendra; Gembong Edhi Setyawan; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Quadcopter is one of Unmanned Aerial Vehicle which is used such a field of defense, agriculture and other fields. Quadcopter is a flying machine that works with the remote control that controled by the pilot using the law of aerodynamics to lift himself or other object. The majority of quadcopter controls still using a remote controller in the form of a joystick or using android based applications. Whereas a simple movement in quadcopter control can help the pilot to control the quadcopter properly.The innovations from Natural User Interfaces (NUI) is to use natural human language such as voice, movement, or view to communicate with quadcopter. In this research will created a control that using innovation from NUI to control quadcopter in the form of simple hand movement of the user. User's hand movement will be detected using leap motion. Leap motion is a device where optical sensor and infrared light detecting the movements of a hand. Leap motion and quadcopter are programmed using javascript and Labview. After testing the performance of its precision the movement and speed, the result percentage of motion accuracy is 100%. At the resulst speed that generated by quadcopter to Pitch, Roll, yaw, gaz moves are directly proportional with value obtained from user movement, When the input from the user gets larger, the quadcopter speed will getting faster and otherwise. The result of delay response test that obtained from the user moving his hands using node.js is 0.258 seconds while the result of delay response system that performed using Labview is 0.131 seconds. Based on its resulst that using Labview programming to control the quadcopter is more responsive than using programming languages javascript.
Desain Arithmetic Logic Unit 8bit untuk Central Processing Unit 8bit Ega Dewa Iswantoro; Mochammad Hannats Hanafi Ichsan; Wijaya Kurniawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Arithmetic Logic Unit or commonly called ALU is an important part of the Central Processing Unit or commonly called CPU. ALU generally has a function to perform arithmetic and logic calculations. The 8bit Arithmetic Logic Unit for Central Processing Unit-8bit also has the same functionality to process mathematical and logic data. Some functions contained in the ALU are the ADD, unmarked sums (ADDU), subtraction (SUB), unmarked subtraction (SUBU) and some OR, XOR and AND logic functions. In the 8bit Arithmetic logic unit design for central processing unit 8bit using IC adder, AND, OR, NOT and multiplexer. For the main input use 2 switches I / 0 and 3 input input switches for multiplexers, and menggukan LED media as outputan. This circuit is designed to use 8 twin sets which each series represents 1 bit. The design of this circuit uses 5volt power as its main power source. In the test part of Arithmetic logic unit 8bit performance will be tested by comparing the output output of ALU and manual count with 3 different input on each function.
Query Expansion Pada Sistem Temu Kembali Informasi Berbahasa Indonesia Dengan Metode Pembobotan TF-IDF Dan Algoritme Cosine Similarity Berbasis Wordnet Mahdarani Dwi Laxmi; Indriati Indriati; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Query Expansion is generally a technique for adding queries in information retrieval in relevance feedback techniques. The initial query will be added with several terms or words in the query to facilitate the process of information retrieval. Information Retrieval begins with the provision of several collections of documents to be used. Using text operations will be processed into an inverted index file. To find it, this research uses TF-IDF weighting method and wordNet based cosine similarity algorithm. By using wordNet, a query is added to correct a particular text so that it matches the concept of a particular sentence. In this research will be used synset in the form of a hyponym word relation to be added to the query. Based on the results of testing using precision @ 20 from 10 queries, the average precision value was 0.7. This means that the probability of the system can rediscover the relevant documents without using the query expansion is 70%. Based on the results of testing using precision @ 20 from 10 queries obtained an average precision value of 0.52. This means that the probability of the system can rediscover the relevant documents without using the query expansion is 52%.
Pengembangan Aplikasi Mobile Augmented Reality Sebagai Media Belajar Pengenalan Dasar Huruf Hijaiyah Adji Reno Muhammad; Wibisono Sukmo Wardhono; Tri Afirianto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The introduction and mastery of hijaiyah letters from an early age is very important, because the hijaiyah is the basis for reading and studying the holy book Al-Qur'an. But in the pronunciation, many people are still wrong in saying some hijaiyah letters that are probably caused by their mother language and habitual factors. Generally, hijaiyah letters are introduced to children as they enter kindergarten or primary school. In the learning process, sometimes there are children who have a shy nature caused by lack of bravery of children when talking to teachers or other adults, not being able to look into other people's eyes when talking, the child does not talk much, or the child is less open. Plus there are some children who tend to learn to use visual, while others tend to use audio or kinesthetic. Because of these different learning styles, it is important for teachers to use a combination of teaching methods and make the learning environment interactive and stimulating to achieve good learning outcomes. From these problems, Android-based augmented reality mobile application developed as a learning media introduction of basic hijaiyah letters. This application is developed by waterfall method. The test is validation testing, optimum condition of marker based on size and distance, and application testing. Validation testing gives results that the system is valid. Testing the optimal marker conditions gives the results that the optimal condition of the marker size 2,5x2,5cm is 4-8cm, the size of 5x5cm is 8-17cm, the size of 7,5x7,5cm is 12-26cm, the size of 10x10 is 16-34cm, and the size is 12,5x12,5cm is 19-42cm. Application testing gives results that by using the application can improve student scores by 11.19%.
Implementasi Algoritme Genetika dan Analytical Hierarchy Process untuk Penerimaan Siswa Baru pada Sekolah Menengah Kejuruan Mala Nurhidayati; Dian Eka Ratnawati; Yuita Arum Sari
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Vocational high schools aim to produce qualified graduates in their expertise and skills in each majors. In the process of getting qualified graduates, it takes an initial step, namely selecting new students. The selection process is carried out by considering the value of the Indonesian National Examination, the value of the English National Examination, the value of the National Mathematics Examination, and the National Examination Science score. The methods used to solving this problem are Analytical Hierarchy Process (AHP) and Genetic Algorithms. Individuals in the Genetic Algorithm method are 6 genes. In the initial individuals formed the reproduction process namely crossover and mutation. The last process in this reasearch is the calculation of fitness value. This process resolved by calculating the results of accuracy. The results of the fitness value obtained the largest to the smallest fitness value. From research conducted the output is passing or not passing from prospective students in a predetermined majors. The average accuracy of the combination of the AHP method and the genetic algorithm is 86.85% and the accuracy is obtained using the AHP method is only 76.52%. Based on these results it can be concluded that the merger of AHP methods and genetic algorithms can solve the problem of new student admission at vocational high schools.
Klasifikasi Multilabel Menggunakan Metode Fuzzy Similarity K-Nearest Neighbor Untuk Rekomendasi Pencarian Artikel Online Wahyuni Lubis; Yuita Arum Sari; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The article is someone's opinion of the paper that addresses a specific problem that is actual and sometimes controversial to inform, influence, persuade, and entertain the reader. Rapid technological developments led to the large number of articles written online. Each article has a different label online, and allows each article has more than one label. The number of online articles that exist on the internet every day growing which makes the reader's difficulty in finding the desired information. The proper classification can improve the quality of information retrieval. A method of Fuzzy K-Nearest Neighbor Similarity is a method that combines the multilabel classification method of Fuzzy Similarity Measure and MLKNN. Previous research on method FSKNN has better speed in doing computing k nearest neighbors and better performance of the method MLKNN. The steps undertaken in this research is conducting a text preprocessing, document clustering, weighting, classification and search process. On the research of the optimal values obtained this F1 and BEP amounted to 0.933 and 0.937 at k = 1 and alpha = 0.5. On the recommendation of the search articles online using the method FSKNN obtained the highest precision value of 0.5 and 0.8 recall. From the results of F1 and the BEP obtained, indicating that the method FSKNN was kind enough to do a multilabel classification articles online.
Sistem Deteksi Gerakan Kepala sebagai Kontrol Kursor Mouse dengan Metode Complementary Filter Latief Nurrohman Alfansuri; Dahnial Syauqy; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The development of technology makes people want to communicate with computers more natural, one way people communicate with computers is to use the mouse as an input device to control the computer, conventional mouse commonly used is less natural, especially for those who have deficiencies in the body (disability). Based on that required a system capable of controlling the mouse cursor based on the natural movement of the human body, this system which later can read the value of the head movement of the user and use as the input value to move the mouse cursor, to read the movement of the head will use MPU6050 and Arduino Nano as microcontroller, data transmissionson this system will be done wirelessly therefore will use nRF24L01 and arduino leonardo modules which will be used to control the mouse cursor. Complementary filter will be used to reduce the error value, Complementary filter will be tested by comparing with system output value without using filter. The error value generated by Complementary filter calculation is less than 2o. From corespodent testing, the system was able to obtain a good category average based on feedback from 30 users.
Penentuan Jumlah Kendaraan Menggunakan Blob Detection dan Background Subtraction San Sayidul Akdam Augusta; Yuita Arum Sari; Putra Pandu Adikara
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 1 (2019): Januari 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Traffic is an important problem because traffic is medium to move from one place to another. When there is a traffic problem or become stuck, then people's mobility will have problem too. Traffic density data is an important role to understand traffic condition. Currently, in order to obtain traffic density still do it in conventional way, that is with some people to count each vehicles passing by at certain time. The purpose of this research is to apply algorithm Background Subtraction and Blob Detection to determine total vehicles and test the result of the vehicle counter system. Background Subtraction is used to process segmentation to separate an object with the background by counting difference between each pixel and use a threshold to make two dominant group of pixel. The method used to determine object position and total vehicles by Blob Detection and Background Subtraction. Testing done with twenty image by taking smallest error value as a best evaluation. The performance of precision is 93.44%, recall is 77.03% and accuracy is 73.75%. The value of precision, recall and accuracy needs to be increased again by adding test parameters and multiplying datasets with different conditions. The results show that the Blob Detection and Background Subtraction methods can give pretty good results when blob between vehicles is spaced. This method does not provide good results when used in heavy traffic conditions with vehicle bodies sticking together.

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