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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 30 Documents
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Search results for , issue "Vol 4 No 5 (2020): Mei 2020" : 30 Documents clear
Pengembangan Sistem Informasi Manajemen Sertifikasi Keahlian di Fakultas Ilmu Komputer Universitas Brawijaya Malang Vicky Anggara; Achmad Arwan; Eriq Muhammad Adams Jonemaro
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Information Systems Management certification of expertise in the Faculty of Computer Science of Brawijaya University is a system that assists in managing certification of expertise related to bootcamp information, registration bootcamp, information certification, certification registration, distribution of modules Botcamp, announcement of bootcamp schedules and certifications, and selection instructor Bootcamp. In addition, the system also helps to keep data safe in database storage, thus minimizing lost or damaged data. The need for this system is obtained through an interview process with the stakeholders that are the skills Certification coordinator at the Faculty of Computer Science of Brawijaya University who became the admin actor of this system. Literature studies are also conducted to support the problem solving. Software architecture is designed using Unified Modelling Language (UML). Some software also used to build this system include Visual Studio Code 1.43.2, Visual Paradigm 16.0, XAMPP v 3.2.4. The system consists of 61 functional needs modelled into the use case diagram as well as the use case scenario as the base of the groove that can be run on this system. The design phase produces the design of the system to be built. The architecture design generates diagram sequences, diagram classes, and database designing. Tests are divided into three, unit testing, integration testing, and validation testing with all results valid.
Perancangan Algoritma Jaringan Saraf Tiruan Backpropagation untuk Navigasi Robot Beroda Mohammad Riski Aprilianto; Gembong Edhi Setyawan; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Wheeled robot is a robot that moves using wheels under certain conditions so that a good navigation system is needed. Whether or not the robot navigation system is influenced by the software system and the algorithm that is running. Over time, artificial neural network algorithm is much in demand and developed because it has good flexibility to the nonlinear environment. Therefore, in this study a backpropagation artificial neural network algorithm is designed for navigation of wheeled robots. Artificial neural networks have advantages, among others, the level of accuracy is better than pattern recognition algorithms such as fuzzy and KNN. Besides artificial neural networks also have good flexibility in solving problems with multidimensional classes. Backpropagation artificial neural network is a supervised neural network in which there is a network training. In network training there are several factors that influence, including hidden layers, momentum, and learning rate. In addition to good training, robot speed regulation also needs to be considered so that the robot has good stability in its environment. Based on the time and error values ​​in the network training, the number of hidden layer nodes of 5 has the best results on input and output of 4 nodes. Whereas in the PWM motor 150 value setting obtained a fairly good movement stability for the wheeled robot used.
Klasifikasi Ulasan Palsu menggunakan MDLText dengan Seleksi Fitur IG dan SMOTE Dary Ardiansyah Haryono; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Advancement of technology make buying product/service easier because the order can be made via online. Most people will consider reviews before buying product/service, so reviews greatly affect the number of product/service purchases. Therefore, fake review classification system was created using MDLText algorithm. In this research, comparing the accuracy, precision, recall and F-measure of 4 methods namely: MDLText algorithm, and MDLText algorithm with IG feature selection, MDLText algorithm with SMOTE, MDLText algorithm with SMOTE and IG feature selection. The data used are imbalanced data with a ratio of 1 fake review to 6 original reviews. Based on the test results, for the MDLText algorithm the results obtained from the change in the parameter α with a pretty good accuracy of 49,67% but with relatively low recall of 19,35%, precision 10,53%, and F-measure 13,64%. While the use of MDLText algorithm with IG feature selection is better when the threshold is 60% in terms of accuracy that is 77,48% but in terms of precision, recall and F-measure threshold 90% has a better value of 20,94%, 100% and 34,64%. In the use of MDLText algorithm with SMOTE, the most balanced composition values are at SMOTE 200% with an accuracy value of 60.93%, recall 9.68%, precision 8,82% and F-measure 9.23%. It can be concluded that the MDLText method is better with 200% SMOTE and 60% IG threshold feature selection in terms of accuracy, precision, recall and F-measure. For the k-fold validation testing the best result for accuracy, recall and F-measure at 2 fold with 81,55%, 12,5%, 7,69% and 9,52%.
Implementasi Algoritma K-Nearest Neighbor Untuk Klasifikasi Deteksi Penyakit Pada Anjing Richard Emmanuel Johanes; Edy Santoso; Suprapto Suprapto
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Dogs are one of the pets that are loved in any part of the world. In Indonesia, dogs have started to be in great demand by some communities to become pets. Dogs themselves, including pets, are classified as expensive because of the cost of care. The dog itself is also susceptible to disease when the care and supervision of its care. There are limited veterinary clinics and there are still very few people who want to bring their pets to the doctor when they are sick. Therefore we need a system that can help all dog owners to detect early what kind of disease the dog is experiencing through the symptoms experienced by the dog so that early subscription can be done quickly. To solve this problem, an expert system is needed to help diagnose dog diseases using the K-Nearest Neighbor (KNN) algorithm classification method. Implementation of the system using the Java programming language by using training data of 5 diseases with 23 symptoms. Testing is done by using the accuracy equation test using 50 samples of test data resulting in an accuracy of 88%.
Implementasi Monitoring Kualitas Udara Taman di Kota Malang menggunakan Low Power Mode pada Android berbasis Arduino Uno Ananda Ribelta; Rizal Maulana; Hurriyatul Fitriyah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Definition polution defilement related to the environment that is lived by humans. This defilement may caused by many factor examples are from gas emission in public transport and forest fire that is near with citizen lives. Solution is necessary to informed about ISPU anytime to people directly through their android smartphone. Time become important indicator in monitoring system, that monitoring system are activated and deactivated based time who ruled by government. In monitoring there is color which is strong indicator about environment around. Using low power mode to aimed a lower consume of electricity on the system then utilized the work principle of system which are in sleep condition and wake condition. Based test which has been done the coefficient of determination from read value MQ 131 sensor is 99,1% rated output voltage, MQ 136 in the amount of 98,5% rated output voltage and GP2Y1010AU0F sensor output voltage accuracy of 98%. Then for MQ 7 sensor average error of 18,55%. Furthermore there is system performance tests when power down sleep for 10 times and then testing on average to get 7,5% lower consumed energy by the system. Calculation from PPM value in to ISPU value had an accuracy 100%
Pengembangan Sistem Informasi Akademik Sekolah Sepak Bola berbasis Website menggunakan Metode Waterfall (Studi Kasus: SSB Sumbersari FC) Eko Ramadhanu Aryputra; Buce Trias Hanggara; Satrio Agung Wicaksono
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

SSB Sumbersari FC is an informal school that focuses on teaching soccer for young students. SSB has several problems that can hinder daily operational activities. The problem is that the SSB often loses registration files and has not been able to realize the desire to make a report card. Based on these problems, the need to explore the need to produce a solution. The solution provided is the creation of a football academic information system. This development uses the waterfall development model. In this development model several stages will be carried out. The needs analysis phase produces 21 functional needs and 2 non-functional needs. The design phase produces a class diagram from the server and client side. The server diagram class has 14 model classes and 15 controllers, while the client diagram class has 31 classes. The implementation phase uses the vuejs and vuetifyjs framework for the client, while for the server uses the sailsjs framework with a MySQL database. In the implementation phase it produces 21 pages or interface and 61 service endpoints. The last stage is testing using blackbox testing and SUS. Blackbox testing uses the equivalence partitioning method which results in 100% of system requirements in accordance with SSB Sumbersari FC user requests. SUS testing is done to determine the level of ease of the system based on the user, where this test produces a value of 75.9375. This value means that the academic information system developed has been in accordance with user requests, is quite preferred, but still needs to be improved again.
Implementasi RFID untuk Tracking Rute Perjalanan Kereta Api dan Penggerak Wesel Secara Otomatis Erricson Bernedy Setiawan; Rakhmadhany Primananda; Agung Setia Budi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

information regarding train travel routes has not been clearly recorded while at the station or leaving the station, this causes passengers to experience confusion to find that information. The application of RFID technology in every station that is passed by the train will get real-time and Web-based information. So that passengers feel more comfortable to have the history of train travel and the leadership of the station can calculate the time of arrival of each train are seen on the website. The RFID tags installed on the locomotive stores the information needed, which is the train ID, destination, previous station, current station, and next station. After identification, the information will be recorded automatically in a database, then the information on the RFID tag will be updated according to the next trip. The information is also used to move the Wessel automatically according to the destination to be addressed. This system applies a Wireless Sensor Node by using NRF24L01 as a communication module. The RFID-RC522 module was chosen because not only can it be used to identify RFID tags, but it can also perform writing modes to block data on the RFID Tag. The interface used consists of a desktop-based interface that is used when wanting to update information on RFID Tags and a web-based interface is used to display information about train travel history in real-time. There are two tests on this system, namely functional testing and performance testing. In functional testing, the base station can communicate with sensor nodes and actuators, sensor nodes can identify and update data on RFID tags, actuators work according to commands given by the base station, then the base station can perform automatic updates to the database. Performance testing is measured by sending delay parameters between nodes in each process. The results of testing when identifying an average delay of 63,875ms, when updating information received an average delay of 44,625ms, and testing on the branching path got an average delay of 21.5ms.
Pengembangan Sistem Informasi Akademik Sekolah dan Asrama (Studi Kasus : SMA Sulthon Aulia Boarding School) Miftah Muhammad Farhan; Achmad Arwan; Faizatul Amalia
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Sulthon Aulia Boarding School has two curricula, namely the school curriculum and the dormitory curriculum. Students for three years will be educated in an Islamic life education so that is is expected to produce graduates who are faithful and pious, morality, have a soul of leadership, and have an entrepreneurial spirit. But in the process of forming good graduates it is still less efficient. The assessment process still uses conventional methods and has the risk of losing data so that it can slow down the assessment process of students both at school and in the dormitory. Academic information system is a solution to the problems above. Student assessments will be recorded online and will minimize data loss. In developing this system, the development method used is the waterfall method. The development of this system resulted in the elicitation of needs in the form of 5 actors, 42 functional needs and 1 non functional requirement Then from the results of the design produces 5 designs, namely architectural design consisting of sequence diagram design, class diagram design, database design and interface design. Then from the results of the design phase carried out the implementation process that results in the implementation of the interface and algorithm implementation. At the system testing stage, the tests carried out are integration testing, unit testing, validation testing and compatibility testing. Based on the testing that has been done, the results are 100% successful in testing functional requirements. In compatibility testing, the system was tested on different devices and got 100% results successfully.
Sistem Pengukur Kesegaran Daging Sapi menggunakan Metode K-Nearest Neighbor (K-NN) dengan Fitur Penambahan Data Latih berbasis EEPROM Jeffry Atur Firdaus; Eko Setiawan; Dahnial Syauqy
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Beef is one of the food products that is in demand by the people of Indonesia because it has high nutritional value. 70% air, 20% protein, 9% fat and 1% ash. The freshness of beef affects the quality of beef. Simple characteristics of beef that is still fresh is the color of fresh red meat, soft flesh fiber and yellow fat. The quality loss in beef can be marked by changes in color, taste and smell. This is caused by the development of microorganisms in beef. Eating beef contaminated by microorganisms can cause food poisoning and other health problems. In this research, a system can classify beef quality using the K-Nearest Neighbor algorithm and Arduino nano EEPROM. This system uses beef RGB color input using TCS3200 sensor, gas quality to measure the intensity of NH3/ammonia gas using the MQ135 sensor and push-button as a medium of user interaction with the system. Further sample data is classified using K-Nearest Neighbor on Arduino Nano using training data stored on EEPROM. The results of the classification of "fresh" "medium" or "rotten" grade beef will be shown on the LCD. In addition, data on the EEPROM can also be added and removed for system development through a menu on the LCD. The average computation time obtained in the system to classify beef quality is 117ms and the classification system with 81 training data on 27 test data obtains an accuracy of up to 85%.
Pembangunan Sistem Chatbot Informasi Objek Wisata Kota Malang berbasis Web Rizkey Wijayanto; Fajar Pradana; Fitra Abdurrachman Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 5 (2020): Mei 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Malang City is one of the cities in East Java Province in Indonesia which has a lot of potential to be used as a tourist destination that can be visited by both domestic and foreign tourists. Data shows that the number of tourists visiting Malang is less than that of Batu City. The small number of tourists is caused by several factors. One of them is the lack of information related to tourist attractions in the city of Malang. To deal with these problems, a system development that aims to make it easier for tourists to get information about Malang city tourist destinations. In addition to finding information the system can also be used by tourists to submit proposed tourism locations that may not have been registered. Tourists can also provide value to tourist sites so that they can be used as a reference for tourism managers in building good tourism locations. The system was built using the Laravel framework which has more features than other frameworks and uses BotMan for the construction of chatbots in order to provide interactive information and with map support for more accurate location indicators. Testing is done by testing three aspects, namely unit testing, integration testing and validation testing in which all three tests produce a value of 100% valid. In compatibility testing we get the results that the system can run on 8 types of browsers. It is expected that this development will make it easier for tourists to access and obtain information about Malang City tourism.

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