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Eksplorasi Pengaruh Teknologi Live Shopping terhadap Minat Beli Pelanggan dengan Systematic Literature Review
M. Radhitya Rivan Pamungkas;
Diah Priharsari;
Welly Purnomo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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Live Shopping is a new trend that combines e-commerce and social networking where the consumers who watch it can immediately buy with their smartphone just in one touch. Users who like to watch live shopping tend to have an interest in the products that are being offered in the live streaming. According to previous research, the live shopping strategy can increase user interest in buying products online regardless of distance and trading of goods. This phenomenon has been widely researched by experts before to explain what live shopping is, the technology that used to, or marketing strategies using live shopping, but there is not much literature that really leads to the emergence of buying interest in consumers through live shopping. For this reason, a Systematic Literature Review was conducted to review previous journals that discussed live shopping and purchase intention to determine the effect of using live shopping on consumer purchase intention in shopping online. The journal search process is carried out in several selection times and calculates Cohen's Kappa as a measure of the reliability of the journals found. The source of the journal search was carried out on ScienceDirect and the minimum year of the selected journal was 2011. The results obtained were 13 selected journals and after data extraction there were 36 factors that influence live shopping on purchase intention and 18 theories that can be used to identify the factors.
Sistem Guided Following Control pada Smart Wheelchair menggunakan Metode Yolov5 berbasis Nvidia Jetson TX2
Alfianto Palebangan;
Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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Smart wheelchairs are becoming increasingly popular for individuals with mobility impairments, allowing them to navigate their environment with more independence and comfort. However, one challenge faced by smart wheelchairs is the ability to follow a designated guide, such as a human or guide rope. In this abstract, the researcher proposes the use of the YOLOv5 (You Only Look Once version 5) method to enable smart wheelchairs to follow a guide. YOLOv5 is a fast and accurate object detection algorithm, making it suitable for real-time applications such as guiding a smart wheelchair. By using YOLOv5 to detect and track a designated guide, the smart wheelchair can smoothly and responsively follow the guide, allowing the user to easily navigate their environment. To demonstrate the effectiveness of the research approach, the researcher conducted a series of experiments on a smart wheelchair equipped with a camera and a YOLOv5-based guide following system. The research results showed that the smart wheelchair was able to accurately follow the designated guide. This study demonstrates the potential of YOLOv5 for guiding a smart wheelchair and the researcher believes that this approach has the potential to enhance mobility for wheelchair users in their daily activities.
Pembangunan Sistem Informasi Pemesanan Jasa Foto berbasis Web menggunakan REST API pada Heroe Photography
Eggi Tresna Faturahman;
Widhy Hayuhardhika Nugraha Putra;
Welly Purnomo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 12 (2022): Desember 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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Heroe Photography is a photo service company for weddings, pre-wedding events, and others. Heroe Photography wants to improve the quality of its services to be more competitive. But there are obstacles in existing business processes. Therefore, the solution that can be provided is a web-based photo service ordering information system using a REST API that is integrated with Midtrans as a payment gateway and Wablas as a WhatsApp gateway. Efficiency is an important factor in this research because it changes the process from previously paper-based to computer-based. Testing the validity of the black box method to test the functional requirements of the system with 100% valid test results. Performance testing with Apache JMeter tools with the result that the system can handle requests well up to 100 samples but is vulnerable if more than 200 incoming requests. Usability testing of the Nielsens Attributes of Usability (NAU) method with a result of 77.2% which states that the system is included in the category worthy. In addition, to measure the efficiency aspect, measurements are made of the time required during the ordering and payment process before and after using the system. There is an average time difference of 9.25 minutes when using the system so it can be stated that the ordering and payment processing system it becomes more efficient. This statement is also supported by the results of statistical analysis of the efficiency aspect of usability testing with a value of 4,125 which states that respondents agree if the system built fulfills the efficiency aspect.
Implementasi Sistem Monitoring Ruang Server dengan Protokol Interkoneksi Modbus
Fatwatul Miftahuddin Rizki;
Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 12 (2022): Desember 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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Server room is a room used to store server computers, network equipment such as routers, server computers and other important equipment. This server room requires special attention to protect the equipment in it, such as temperature, humidity, fire and other disasters. Therefore, in this study it is proposed to implement a server room monitoring system with the modbus interconnection protocol to measure temperature, humidity, vibration and electric current conditions in the server room. The system uses 1 master to display data and provide warnings and 2 slaves paired with sensors. The system is connected via the RS485 module and data transmission uses Modbus RTU. In addition, the system uses a master-slave which uses Wemos D1 mini on the master and Arduino Nano on the slave connected to the DHT11, SW420 and SCT-013-00 sensors. The results of this study are that the system as a whole can monitor the server room via LCD16x2 and Telegram and the system can provide warnings when room conditions are abnormal in the form of alarms with minor, major and critical levels as well as warning notifications to Telegram when in predetermined conditions. The system can send sensor data from slave to master with a cable length of 5 meters for slave 2 and 4 meters for slave 1. At a timeout value of 3574ms the system has an average time interval for sending data from slave 1 which is 196.4ms and from slave 2 which is 598.5ms with data read by the master having a length of 13-14 data.
Sistem Pengenalan Intensitas Emosi Marah melalui Ucapan menggunakan Ekstraksi Wavelet-Based Frequency Cepstral Coefficients dan Algoritma K-Nearest Neighbor berbasis Raspberry Pi 4
M. Ihsan An-Nashir;
Barlian Henryranu Prasetio
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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Emotion is an intense feeling directed towards someone or something. One way that humans can express angry emotions that can be recognized is through speech. Speech emotion recognition is a technology that can be used to identify emotions from the sound of someone speaking. In this research, a speech emotion recognition process was carried out using the WFCC (Wavelet-based Frequency Cepstral Coefficients) method, which uses wavelet transformation in its extraction and has the ability to separate various frequency variations at various times. In addition, this study also tested the ability of the K-Nearest Neighbor algorithm in classifying the intensity of angry emotions from sound signals. This study was conducted using a Raspberry Pi 4. This study concluded that the WFCC extraction method is quite effective in detecting high intensity angry emotions with an accuracy of 66.67%.
Perancangan dan Implementasi Programmable Function Generator menggunakan H-Bridge L298N untuk Rangkaian Wireless Power Transfer
Arya Rizky Imansyah Harahap;
Sabriansyah Rizqika Akbar;
Eko Setiawan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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One of the factors that affect the level of power transfer efficiency in Wireless Power Transfer (WPT) technology is the frequency of the voltage used on the coil. Not just any voltage frequency can be used, but there are frequency peaks that can maximize the efficiency of WPT power transmission. To overcome this problem, this study designed a programmable function generator that can produce AC waves in the form of square waves which can be programmed using a microcontroller in the output frequency range of 100 Hz to 25 kHz to be tested in the Wireless Power Transfer circuit. This system utilizes the Arduino UNO PWM phase change period with a 50% duty cycle so that a square wave output with a certain frequency is produced on the H-Bridge L298N. This method obtains an accuracy of the output square wave frequency of 99,46% with the highest error value of 1,992%. Implementation of the system in the WPT circuit by analyzing frequency changes in the range 1 kHz to 25 kHz and a distance of 1 cm to 3 cm, the maximum received power value is obtained in the receiver circuit of 79,72 mW at a distance of 1 cm; 73,68 mW at a distance 2 cm; and 53,24 mW at a distance of 3 cm. The maximum power transmission efficiency values obtained in the test were 7,76% at a distance of 1 cm; 7,558% at a distance of 2 cm; and 3,71% at a distance of 3 cm.
Implementasi Lingkungan Test pada Moodle dengan Apache JMeter
Kurnia Ade Prasetia;
Sabriansyah Rizqika Akbar;
Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 12 (2022): Desember 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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Moodle provides convenience in the teaching and learning process in this modern era. Starting from learning material, working on tests, uploading files can be done easily. Apart from the convenience provided and the increasing number of teaching and learning processes using Moodle, the burden on the Moodle server will also be greater. Apache jMeter provides tools for monitoring and testing performance. With a simple GUI, its use is not difficult to learn. In this research, we tested the moodle server with the PostgreSQL database installed in virtualbox. Then a performance test was carried out through Apache jMeter which included a CPU performance test, Disk I/O performance test, and a memory performance test on the login page and quiz submit page. The simulation was carried out in stages starting from one repetition, ten repetitions, fifty repetitions, and one hundred repetitions. From the test results it was found that the test results showed the same results because they were carried out in the same session at the same time
Perancangan Ulang Antarmuka Pengguna Sistem e-Management PKL SMKN 6 Malang dengan Metode Goal Directed Design
Rosita Devi Ramadhani;
Hanifah Muslimah Az-Zahra;
Prima Zulvarina
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 11 (2022): November 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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SMKN 6 Malang is one of the Vocational Schools in Malang City. To facilitate the process of implementing street vendors, SMKN 6 Malang has a website called "MasterWeb". The "MasterWeb" site in its implementation is still not optimal. This is based on observation, interviews, and initial testing conducted on students of SMKN 6 Malang. This study aims to determine the results of a comparison of the usability of the "MasterWeb" site with the usability results of the redesign of the "SEPKL" site. This research was conducted by redesigning the street vendor site user interface using the Goal Directed Design (GDD) method. Design with the GDD method will directly involve users and stakeholders so that the design results are more appropriate. In the initial testing phase, testing was carried out using the interview method and the System Usability Scale (SUS) questionnaire to determine whether the "MasterWeb" site really requires a redesign, what problems exist, and determine what is the best solution to solve these problems from the user's point of view. In the initial test using SUS, the final value was 57.75. After the interface design is complete, a final test is carried out using Usability Testing and the System Usability Scale. In testing the Usability Testing Effectiveness aspect, the final score was 87.5 and the Efficiency Aspect was 0.197 goal/sec. While on the satisfaction aspect, the Questionnaire System Usability Scale was used and the final score obtained was 82.75.
Analisis Pengaruh Brand Awareness dan Perceived Value terhadap Purchase Intention pada Live Shopping
Mervin Mervin;
Diah Priharsari;
Welly Purnomo
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 12 (2022): Desember 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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Information technology is currently developing very rapidly so that several e-commerce and social media companies have created a new live video-based platform called live shopping. Currently live shopping is used as a means of buying and selling online and of course through this platform it is hoped that it will be able to increase public buying interest. However, to be able to increase buying interest, streamers or broadcasters need to pay attention to the factors that influence consumers' purchase intentions for a product, namely trust in the product. Trust in the product or trust in the product is also driven by brand recognition or brand awareness and perceived value. This study aims to find out how brand awareness and perceived value affect trust in products and to find out the effect of trust in products on purchase intentions or consumer purchase intentions. This study used the Structural Equation Model - Covariance Based (SEM-CB) method and obtained clean data for 433 respondents. From the research conducted, it was found that the hypothesis was not accepted, namely brand awareness had an effect on trust in products with a p(probability) value of 0.394 and there was an accepted hypothesis, namely perceived value had an effect on trust in products with a p(probability) value <0.001 and the trust hypothesis product has an effect on purchase intention with a value of p(probability) < 0.001.
Navigasi Menu Berdasarkan Arah Pandangan Mata pada Kursi Roda Pintar menggunakkan Fusion-CNN berbasis Jetson TX2
Blessius Sheldo Putra Laksono;
Fitri Utaminingrum
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 12 (2022): Desember 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya
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As time progresses, technology also experiences rapid advancement. However, this advancement is not accompanied by an improvement in the interaction between computers and humans. This is certainly a significant impact on users of technology, particularly those with mobility disabilities. Smart wheelchair technology has already been widely used to assist people with disabilities, but the problem of interaction with computers still reduces user comfort. Some new types of interaction have been offered in previous research, including using voice, but this method is considered less effective due to the need for a minimally noisy environment. Another offered method of interaction is using eye gaze estimation using conventional algorithms or machine learning. For this, conventional algorithms are considered less effective due to their low adaptability with different users. CNN-based algorithms are chosen in this research because of their ability to extract features from images, allowing the algorithm to adapt to new data. The accuracy of the model in this research was 96% with a loss of 0.02 during the training phase. The system can run the algorithm in 0.16 seconds using CUDA acceleration. The system only uses 12 watts of electricity, making it possible to run the system using a battery. From the testing that was carried out and the results obtained, it can be concluded that the system runs well to estimate the direction of the user.