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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 6,923 Documents
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Analisis Kesediaan Berbagi Identitas Digital berdasarkan PMT: Perceived Severity, Perceived Vulnerability, Response Efficacy, dan Usia Muhammad Arya Dwi Septianto; Diah Priharsari; Buce Trias Hanggara
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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Abstract

The many features provided by social media can make it easy for users to share personal information. The lack of a sense of concern and understanding of privacy in society can have negative consequences. This is caused by the different behavior of each individual, so that each individual will have different intentions and interests in the willingness to share privacy, especially identity. The purpose of this study is to find out how the willingness to share digital identity on social media is based on Protection Motivation Theory, especially the factors of Perceived Severity (PS), Perceived Vulnerability (PV), and Response Efficacy (RE) which influence Concern for Information Privacy (KIP). This study also aims to determine differences in user behavior in sharing their identities on social media based on Age (AG). From the results of the research conducted, no differences in behavior were found based on the user's age range on the willingness to share digital identities (KBI), but concerns about privacy information have an influence on the willingness to share digital identities. Perceived Severity and Perceived Vulnerability also affect the sense of concern about Privacy Information. But Response Efficacy has no influence on the sense of Privacy Information Concern.
Pengembangan Sistem Navigasi Robot Beroda menggunakan Lokalisasi berbasis RFID dengan Pathfinding Algoritma A Star pada Simulasi Lingkungan Gudang Farras Nabil; Dahnial Syauqy; 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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Abstract

The rise of the use of E-Commerce sites places a huge burden on the logistical side, therefore many E-commerce companies implemented a fulfillment service in the form of warehousing that reduces the burden on the logistical side. The problem with these fulfillment services is the physical burden put on the workers of the warehouse. Therefore a system will be made that will help the worker with the use of a robot that can move from place to place automatically. This system will be in the form of a robot using a differential drive method and equipped with an RFID sensor to know it's location. An RFID will be placed in certain spots and will be named node. The system will use the A* algorithm to find a route starting from 0,0. The accuracy of the whole of the system is 75% for the movement of the robot, and 100% for the algorithm itself with a speed of computation between 34 and 199 microsecond for computing the path using A* in a map of size 4x3.
Rekomendasi Sustainable Business Process menggunakan Prinsip Lean Management (Studi Kasus: Kafe Lokal Kota Malang) Anatasha Eka Syavina; Intan Sartika Eris Maghfiroh; Diah Priharsari
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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Abstract

Waste is an object that comes from the remaining waste of a product that is no longer used. The increase in waste generation in Indonesia has reached 28 million tons/year. This happens because to lack of awareness many people about the issue of environmental pollution. In addition, there has been an increasing activity of hanging out in cafes that do not implement the concept of eco-friendly. Therefore, the cafe should implement a sustainable business process in the sustainability of a business in order to survive and compete in the long term. The purpose of this research is to fix the problems and improve the quality of business processes with BPMN (Business Process Management Notation) modeling. This research aim to fix problems in business processes. In this research are used lean management because. This method focuses on the value of product and can minimize waste. At the define stage using SIPOC (Supplier, Input, Process, Output, Customer) diagram and waste identification. At the measure stage is identification CTQ (Critical To Quality) and measuring process capability using values of DPMO (Defect Per Million Opportunities). At the analysis stage, this research used Root Cause Analysis (RCA) and BPMN modeling with Bizagi Modeler. From the results of the analysis, it was found that there were four processes that were problematic and identified as wasteful. There is types of waste that occurs in business process is waste inventory, overprocessing, defects and motion. Then improvements business process can minimize waste by changing and adding business process activities.
Lokalisasi Sistem Deteksi Lokasi Kendaraan pada Lahan Parkir menggunakan Metode Trilaterasi berbasis Protokol BLE Muhammad Syarief Mirdasy; Agung Setia Budi
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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Abstract

The use of relative positioning systems has become popular in an era where network devices are used to find the location of objects or people, especially in environments that are not connected to the internet network. The use of the Global Positioning System (GPS) is indeed very helpful when the system environment has a connection to the internet. So as a solution to overcome this, to find the position of the object at a predetermined location, a relative positioning system can be used using the Bluetooth Low Energy (BLE) protocol by utilizing the Received Signal Strength Indicator (RSSI) from the device. In determining the location of the vehicle in the parking lot using the trilateration method by utilizing BLE beacons which are used as reference points that have been determined at certain locations on the location plan that act as anchor nodes. The device whose role is to capture RSSI data from each anchor node is the sensor node. Then the data owned by the sensor node is sent to the sink node to calculate the estimated distance and trilateration calculations to find out the coordinates of the location sought. The resulting coordinates are then grouped according to the division of the parking lot location plan. Based on the tests that have been carried out, the calculation of the trilateration method to find the location of objects in the parking lot has an average percentage error of 31% and an average computation time of 3.24 seconds.
Sistem Pengenalan Gerak Kepala sebagai Navigasi Kursi Roda Pintar dengan menggunakan Metode YOLOV5 berbasis TX2 Riyandi Banovbi Putera Irsal; 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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Abstract

According to data from the 2019 National Socio-Economic Survey (Susenas), there are 26 million people in Indonesia with disabilities or around 9.7% of the total Indonesian population. People with physical disabilities who have difficulty walking require a wheelchair to move around. Some causes of physical disabilities include multiple disabilities in the legs and arms, accidents, quadriplegia, and stroke. An automated wheelchair is a solution to this problem, which is controlled without physical touch and uses the YOLO (You Only Look Once) object detection algorithm to detect the direction of motion of the user's head. The results of several epochs conducted show that YoloV5 small has an f1 score of 0.9 and a smaller loss, so it will be used in the next test. The system created is able to move according to the input given, with a computation time using CUDA of around 65 milliseconds which is relatively fast. Lower power usage and faster computation time are also evident when using CUDA, although there is a discrepancy in the CPU utilization values of cores 2 and 3 which stay at 0%.
Evaluasi Tata Kelola dan Manajemen Risiko Teknologi Informasi pada PT. IKI Karunia Indonesia menggunakan COBIT 2019 Millenia Silvianthie; Suprapto Suprapto; Andi Reza Perdanakusuma
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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Abstract

PT. IKI Karunia Indonesia is a website-based lending company called IKI Modal. PT. IKI Karunia Indonesia is currently officially recognized by the Indonesian Joint Funding Fintech Association and registered with a license from the Financial Services Authority. In accordance with the company's mission where the company seeks to commit to compliance and good management by always utilizing IT, of course this must be balanced with proper IT management. Because if not managed properly, IT related risks will arise and can paralyze the company because most of its business processes are supported by the use of IT. Therefore, this research was conducted to assess the extent to which companies are capable of managing IT risk management using COBIT 2019 through EDM03 and APO12, as well as gap analysis and recommendations for improvement steps to achieve the desired level. The results of this found that the EDM03 and APO12 processes achieved capability level 2 with a gap value in each process of 1. To increase capability level achievements, recommendations given to companies include making risk appetite guidelines, listing risk issues, and making risk scenario based on business lines and functions.
Sistem Voice Command pada Kursi Roda Pintar menggunakan MFCC dan CNN berbasis Jetson TX2 Tobias Sion Julian; Fitri Utaminingrum; Dahnial Syauqy
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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Abstract

Paralysis is a condition in which the movement of a body part is impaired to the point where it is unable to move partially or completely. People with paralysis often need assistive devices to help with their mobility, such as wheelchairs. Smart wheelchairs that use a voice control system can help people who are unable to use their hands to control a wheelchair. This system uses the MFCC feature extraction method, which is the method that most closely approximates human hearing, and the CNN classification method, which has been proven to work well when trained with features extracted using MFCC. The system is run on a Jetson TX2 device and controls the wheelchair using an Arduino Uno by adjusting the pulse width modulation value according to the classification result of the system's command. The dataset used to train the CNN model is the speech_command v2 dataset created by Tensorflow, which contains over 500,000 data for 36 classes. In this research, however, 15,000 data were used for 4 command classes: "Go," "Right," "Left," and "Stop." The results of the system testing show an accuracy prediction value of 85% with a relatively fast average computation time of only 0.37 seconds to make a prediction.
Analisis Kualitas Website MAN 2 Kota Serang menggunakan Metode Webqual 4.0 dan Importance Performance Analysis (IPA) Dian Eka Pratiwi; Buce Trias Hanggara; Intan Sartika Eris Maghfiroh
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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Abstract

The use of technology affects social life to support each individual's needs. One of the uses of technology is a website. The MAN 2 Serang City website acts as an intermediary for educational service information. On the MAN 2 Serang City website, there are several problems, namely the lack of information about majors that often causes students to choose the wrong major, the absence of information about student interest and talent services to support student activities and the use of online services on the MAN 2 Serang City website which is still minimal and the need to measure and analyze the quality of the MAN 2 Serang City website based on user satisfaction. This research uses the Webqual 4.0 method and Importance Performance Analysis (IPA) to be able to produce maximum improvement evaluation. Based on the results of the suitability analysis, the MAN 2 Serang City website has an overall value of 91.87% and the results of the gap analysis of -0.34 which shows that the quality of the website has not been able to satisfy users. The results of quadrant mapping show that the first quadrant has 6 attributes, the second quadrant has 4 attributes, the third quadrant has 4 attributes, and the fourth quadrant has 5 attributes. The results of the hypothesis show that the usability variable does not significantly affect user satisfaction. Variables in the quality of information and variables in the quality of service interactions have a significant effect on user satisfaction. Providing suggestions and recommendations for improvement focuses on the first and third quadrants of the 3-dimensional Webqual 4.0.
Sistem Deteksi Halangan Arsitektural pada Kendali Kursi Roda Pintar menggunakan HOG dan ANN berbasis TX2 Muhammad Ibrahim Kumail; 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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Abstract

People with disabilities in Malang City reached 687 of the population based on data from the Badan Pusat Statistik (BPS) Malang in 2020 data. The disabled person with quadriplegia is a condition with limitations to walking normally, so a wheelchair is needed. The development of electric wheelchairs is one of the focuses of developing this research to be able to walk automatically because, under certain conditions, disabled people have limited arms that cannot control a wheelchair independently. However, an intelligent wheelchair safety feature is needed against the existing architectural obstacles in public facilities. This study applies digital image processing using the Histogram of Oriented Gradient (HOG) method as a feature extraction method to obtain special features on objects and the Artificial Neural Network (ANN) method as an object class classification, with the implementation of image recording around the research site, the results of obstacle detection are obtained. Architectural design with an average accuracy of 79.72% in conditions of recording distance of 4m, 3m, and 2m detection of pillar objects, while at the duplicate recording distance detection of stairs objects get 73.89% and if the condition is detected as an obstacle object, then the condition of the chair the wheels change to a stop slowly with the PWM value decreasing in decrement to 0 to ensure the intelligent wheelchair avoids obstruction.
Deteksi Penyakit pada Daun Jagung berdasarkan Hue menggunakan Metode K­Nearest Neighbor berbasis Raspberry Pi Handy Yusuf; Hurriyatul Fitriyah; 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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Abstract

Indonesia is an agricultural country where the majority of the population works in the agricultural sector. Corn (Zea mays) as one of its commodities, is widely used as food, animal feed, industry, oil, and beverages. However, the increase in demand for corn was not supported by an increase in production. This was initiated by several factors, one of which was pests and diseases in corn, such as downy mildew and leaf blight. This study aims to detect corn leaf disease based on Hue using the Raspberry Pi-based KNN method, implement the KNN method for classifying diseases on corn leaves, and determine the accuracy of the system in the classification process. The process of detecting diseases on corn leaves based on Hue uses the Raspberry Pi-based KNN method supported by hardware including the Raspberry Pi 4 model B, webcam camera, laptop, 10 I2C, 16x2 LCD, and power bank. While software includes Jupyter Notebook, Open CV, NumPy, and Scikit-learn. The hardware implementation of the system uses a webcam camera as input, the image results obtained will be processed with the Raspberry Pi 4 model B, after which the results of the classification are displayed in the form of output on the 16x2 LCD. Based on the test, it can be seen that the implementation process from input to output is going well. System accuracy testing produces an accuracy value of 90% with an average computation time of 0.4984 for one test process.

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