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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 6,972 Documents
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Pengembangan Aplikasi Manajemen Sewa Motor berbasis Progressive Web Apps di Arfand Motorent Danang Trisdiana Putra; Denny Sagita Rusdianto; Komang Candra Brata
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 5 (2021): Mei 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The motorbike rental business is a promising business for now, especially in Indonesia. One of the businessmen in this field is Arfand Motorent. However, in practice many repetitive processes are carried out between the admin and the tenant, and the use of a platform that is not integrated and the presence of manual forms causes human errors, data duplication which results in data integrity and validity being difficult to maintain, resulting in increased costs and resources so as to solve the problem. The motorbike rental management application based on Progressive Web Apps or abbreviated as PWA is built. PWAs have a wider range, can be accessed on a variety of devices easily, require less effort to access them without the need to perform an installation, and are smaller in size than native applications. The needs analysis stage obtained 68 functional requirements and 2 non-functional requirements. The design stage results in designing systems, components, databases, and interfaces. The above steps are used as a reference in the implementation stage which produces program code with the front end library, react js and the framework for the backend using laravel. The functional testing phase includes unit testing, integration, and validation. As well as non-functional testing by testing performance, reliability, and compatibility. Both functional and non-functional tests are valid.
Implementasi Sistem Otomasi Takaran Biji Kopi Pada Tempat Penyimpanan di Mesin Penggiling Kopi Fachrur Febriansyah Manangkalangi; Rizal Maulana; Gembong Edhi Setyawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Entrepreneurs who have established small coffeeshop business for a long time, using coffee grinder machine which has no automatic scale tchnology inside, absolutely wish that kind of technology exist in their machines without replacing with the new ones. From that problem statement, the researcher will provide solution by creating coffee beans automatic measuring system in the storage of the grinder which there is not any automatic scale technology. This system will use load cell censor hardware with HX711 module as an object reader, in this case is coffee beans in the hopper. This system will also use stepper nema 17 motor whose end has already connected with artificial component in the form of auger and driver A4988 which is used as actuator to the coffee beans in the hopper. There is also 16x2 LCD with 12C module used as whole information display of the process, from the beginning until the end. It has three push buttons utilized by users to choose three mass measuring target of the system and it use servo motor as a open-close valve between the prototype tool and grinding machine. Then, the analysis result for this system testing can be concluded that there is 16,9% error to the digital scale tool, whereas for monitoring analysis, the whole information dislpayed on LCD monitor gain good system testing result in displaying all the system information. The next analysis is motor stepper actuator to the coffee beans capacity in the hopper and the result of motor stepper movement is 100%. It means that the movement towards the coffee beans capacity in the hopper is good. It moves very well. The conclusion of the final testing analysis to the entire system is the researcher gain 100% for accuracy of the entire system and it can be stated that it can work properly just as the purpose of this research.
Analisis Sentimen Pariwisata di Kabupaten Malang dengan Menggunakan Metode BM25F, Neighbor Weighted K-Nearest Neighbor dan Seleksi Fitur Chi-Square Pratitha Vidya Sakta; Indriati Indriati; Marji Marji
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 10 (2020): Oktober 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

City Branding "The Heart of East Java" is one of the efforts used by the Malang District Tourism and Culture Office to market the region in the context of increasing regional tourism. Ratings and reviews relating to tourism in Malang Regency are numerous in the internet. One site to give ratings and reviews is on TripAdvisor. This study tries to analyze reviews from the public about Malang Regency tourism through sentiment analysis and is classified into two classes, positive and negative. In this study, sentiment analysis is carried out in several stages or processes. The process consists of preprocessing data, word weighting which is implemented using the BM25F algorithm, Neighbor Weighted K-Nearest Neighbor for document classification and Chi-Square for feature selection. K-Fold Cross Validation was tested (with K = 5) on the parameter 𝑘 for the classification of NWKNN, bc, boost and k1 for BM25F. The test results show that the determination of stream weight values ​​on BM25F sufficiently influences the results of the NWKNN classification. While the best final results for F-Measure, Accuracy, Precision, and Recall are produced at k = 30, chi-square ratio = 40%, constant (bc) = 0.5, boost head = 2, boost body = 5 and k1 = 1.9 as the best value for each parameter
Sistem Deteksi Dini Rambu Petunjuk Arah Otomatis berdasarkan Optical Character Recognition (OCR) berbasis Raspberry Pi Mochammad Bustanul Ilmi; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 9 (2021): September 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The car is a means of daily transportation which has become a primary need in carrying out daily activities. Not only is a public car used by someone for transportation, but many people use private cars for their transportation needs. In today's private car many security measures have been applied, such as parking sensors, airbags, dash cameras, parking cameras, door lock alarms, etc. The research will discuss the dash camera which in this study will improve the function of the dash camera. In this research, we will upgrade the dash camera so that it can also function as a direction sign detector, which usually the driver must lift his head to see the sign. But this system will help the driver see the sign just by looking at the LCD monitor in the car or just by listening to the sound that will be issued by the car sound. The system uses shape detection, optical character recognition (OCR), and text to speech which are collaborated to detect these signs which will then be displayed on the LCD monitor of the car and will output sound to indicate where it has to take the direction of the intended path. From the test results, almost all sample images can detect the direction signs, but if the signs are in poor lighting, the image crop position is not symmetrical and not straight, then the sign will not be successfully read and processed by the system. And according to the results of the test, the resulting system results get the percentage of success for the detection of arrow directions of 87.5% success and 12.5% ​​fail or error. Then for the accuracy value of the detection results using optical character recognition (OCR) get a percentage of 57.45% as the average accuracy value of the 15 detected destination directions.
Implementasi Enkripsi Vernam Cipher dan Distribusi Kunci Three-Pass Protocol untuk Mengamankan Data Chatting pada ATmega328 Budiyanto Budiyanto; Rakhmadhany Primananda; Fariz Andri Bakhtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 3 (2021): Maret 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Arduino devices with ATmega328 microprocessors and NRF24 radio modules can be used as a wireless chat communication devices. Data communication by NRF24 is generally unencrypted, so chat communication is not secure. There are various encryption algorithms that can be used, but not all encryption algorithms are suitable for ATmega328 because of limitations. ATmega328 microprocessor has very limited computational capability, making it less suitable if the encryption process is performed using an algorithm with a high level of computational complexity. Vernam Cipher is an algorithm that uses simple calculations with XOR. Three-Pass Protocol is a simple data transmission protocol that can be used to secure the distribution of encryption keys. In this study, the Vernam Cipher algorithm and Three-Pass Protocol are combined to secure chat data. Chat data that can be secured in this study are text, images, video and audio. From the test results of 10 times on sending chat data, obtained test results with 100% percentage that the system can secure chat data. From the test results, the average time for the encryption process 16 character strings with the Vernam Cipher algorithm on the ATmega328 is 1.9 millisecond.
Implementasi Skema Anti-Collision Menggunakan Metode TDMA dan TPSN pada Sistem WSN Berbasis LoRa Fajar Hamid Embutara Ratuloli; Agung Setia Budi; Adhitya Bhawiyuga
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 1 (2021): Januari 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The usage of LoRa-based Wireless Sensor Network (WSN) overcomes a common problem of WSN, that its communication capabilities over a near range. LoRa is a radio spectrum modulation technology that accommodates long distances communication with low power consumption. But the current weakness of system, the delivery data is interfering with each other which causes data loss. Time Division Multiple Access (TDMA) method is used to avoid this problem. TDMA is a scheduling method that divides by timeslot, and it compatible with LoRa because it works on single frequency. In a TDMA implementation, all device times must be synchronized with each other so that sending scheduling can occur. Time Synchronization Protocol for Sensor Network (TPSN) method is used as a time synchronization method that supports the WSN system. The implementation of TPSN is divided into 2 phase, namely the Discovery Phase and the Synchronization Phase. Functionality testing is carried out so that the system can works as needed. The accuracy testing of time using the TPSN method obtained results of 79.7%. Performance testing of delivery scheduling using the TDMA method shows that the increase in delivery time is 28.37 milliseconds at sensor node 1 and an increase in delivery time is 37.11 milliseconds at sensor node 2.The success rate in delivery using the TPSN and TDMA methods is 96%.
Object Following Robot berbasis Pembacaan Jarak menggunakan Metode PID Controller Dyas Restu Palupi; Dahnial Syauqy; Agung Setia Budi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 7 (2020): Juli 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Most human activities are carried out by hand. These activities can be well carried out if the items we carry are sufficient in the capacity of our hands, both in quantity and weight. But if the items we carry are too many or large, the activity will be difficult. To solve this problem, we need a system that is able to make these activities easier. In this research, a robot is designed to follow a human. This robot is called object following robot. Using this robot, humans can carry things hands-free. The working principle of the robot is to detect the object by using a proximity sensor and to keep the robot's distance from the object using the PID controller. The robot uses three ultrasonic sensors HC-SR04 as its proximity sensors. These sensors are placed in front, right front, and left front of the robot. Data from the sensor is processed using a PID controller embedded in arduino uno. The output generated from the PID controller is a PWM that will be connected to a DC motor. Meanwhile, to determine the direction of movement of the robot used condition selection from three sensors. Based on the test results, the robot can keep a distance from the object and follow the movement of the object. The settling time (ts) of this robot with a set point of 35 cm is about 1 second. The test result shows that the robot works well, with a relatively fast response time.
Implementasi Sistem Pendeteksi Fibrilasi Atrium berdasarkan Interval dan Gradien QRS menggunakan Metode Jaringan Saraf Tiruan Muhammad Bilal; Rizal Maulana; Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 7 (2021): Juli 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Atrial fibrillation is a type of arrhythmia that occurs due to electrical breakdown from the atria so that blood cannot be pumped to the ventricles at the right time. This condition can lead to other complications, such as stroke, palpitations, cardiomyopathy and heart failure. The detection can be done using an electrocardiograph (ECG), holter monitor or electrophysiology, but this action takes a lot of time and money. Based on this, research was carried out to detect Atrial Fibrillation as soon as possible by building a system consisting of sensor AD8232, Arduino Uno and 16x2 LCD. The ECG signal will be acquired by the AD8232 sensor and processed by Arduino Uno to obtain feature values. The features used are the average and the median value of the QRS gradient and interval. The Artificial Neural Network (ANN) method is used as a classifier of these features with 2 conditions, “Normal” and “FA”. A total of 60 datasets were used, 40 of which were used as training data in the ANN training phase with backpropagation algorithm and 20 were used as testing data. From the BPM test carried out by comparing the sensor acquisition value and the manual calculation value, it was found that the accuracy of the sensor in acquiring the ECG signal was 94,55%. Then from the 20 tested data, the classification accuracy of the ANN method is 90% with an average calculation time of 32,09 ms.
Implementasi Facial Landmark dalam Pengenalan Wajah pada Sistem Pembayaran Elektronik William Hutamaputra; Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 5 No 5 (2021): Mei 2021
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The technology is developing rapidly with various sophisticated features in every branch of science. One of the developing branches of science is the payment system. The face of people being has a specific personal identification that has its own characteristics. Therefore, faces can be used as objects as personal identification marks to increase the level of security. The working principle of Face Recognition is to detect faces first before carrying out the recognition to be compared with the database. The method used for Face Recognition is facial landmark. Facial landmark is a method of localizing the prominent points on the face. Before the image is processed, the image must be detected whether there is a face. The face detection method uses haar cascade. The results of facial landmarks will be classified based on training data with k-Nearest Neighbor. The results of these studies resulted in facial recognition accuracy levels of 76.47%, 64.71%, and 47.06% and computation times of 0.5016, 0.1322, and 0.1298 seconds with values of k = 5, 7 and 9. In the integrated system between facial recognition and electronic payment systems with the value of k which has the highest accuracy, namely 5, has a system integration level of 71.43%. In the field of technology, there are many things that need to be resolved to make human activities easier. Therefore, this thesis will discuss an electronic payment system based on Face recognition in trading with the facial landmark method.
Analisis Kinerja Algoritme Rowwise 1-D Partitioning dan 2-D Partitioning untuk Operasi Matriks pada Pemrosesan Paralel berbasis Rasberry Pi 3 Dedy Eka Prasetya; Wijaya Kurniawan; Mochammad Hannats Hanafi Ichsan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 9 (2020): September 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Parallel processing is a process which use more than one of CPU or processor as data processing. On the parallel processing there are some methods which use for data processing and applied on the algorithm. That methods are OpenMPI which is standard programming that have work prociple distributed memory and OpenMP that have work principle or processing use shared memory. The both methods will be used on the parallel processing which applied on two multiplication matrix vector algorithms.That algorithms are Rowwise 1-D Partitioning and 2-D Partitioning. The algorithm of Rowwise 1-D Partitioning and 2-D Partitioning will be processed in parallel on OpenMPI and OpenMP. Parallel processing on two algorithms to matrix vector multiplication will be applied on Raspberry Pi 3 device. To access Rasberry Pi 3 use putty application for do remote access and WinSCP application for know the directory where the program is stored. Therefore, Rasberry Pi 3 in this research is as main processor on parallel processing matrix vector multiplication to Rowwise 1-D Partitioning and 2-D Partitioning algorithms. The performance from the both of these algorithms will be compared to get results in terms of efficiency and effectiveness.

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