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Jurnal Infra
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Articles 1,326 Documents
Kombinasi Metode Partial Rank Correlation dan Flow Correlation Coefficient untuk Membedakan DDoS dengan Flash Crowds Calvin Kamtoso; Agustinus Noertjahyana; Rolly Intan
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

With the growing of internet user, causing DDoS attacks to also become more sophisticated. This of course causing DDoS detection became a challenge itself. On the other hand, there is flash crowds which is a traffic generated from a huge amount of valid user. While DDoS attack is becoming more sophisticated, it causes discrimination a DDoS attacks from flash crowds become more challenging.This research will be conducted by combining two methods of partial rank correlation and flow correlation. Partial rank correlation itself can be used to detect low-rate and high-rate DDoS attacks. Meanwhile flow correlation coefficient can be used to discriminate DDoS from flash crowds, albeit it is lacking the capability to detect low-rate DDoS attacks.With the test carried, it can be acknowledged whether combining two methods could produce a program that could detect DDoS, flash crowds, or not. Then whether by combining the two methods could increase the accuracy of detection rate and false positive alarm rate of said program than when each method is run independently.
Penerapan Fuzzy pada Indikator Teknikal untuk Memprediksi Trend dan Manajemen Resiko pada Pasar Forex Sutikno Goutama; Agustinus Noertjahyana; Rolly Intan
Jurnal Infra Vol 8, No 2 (2020)
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Abstract

Trading on the forex market (foreign exchange) is an activity that can provide large profits and convenience for traders because it does not require a physical office space and the trading process can be done anywhere. However, trading activity cannot be separated from the risk of large losses, because trader sometimes do not understand the movement of trends or having difficulties in determining the risk that must be taken. These problems make traders likely to get losses compared to gain profits. Therefore, traders need a program or expert advisor (EA) that can help to predict trends and manage market risk.Dynamic forex market movements and diversity on pair currency, often make traders confuse to read the right circumstances and determine when the right time to trade. As a solution to overcome the uncertainty in analyzing the market, one of the concepts that can be applied is fuzzy logic. This concept can help to change something which has uncertainty into a value that can be used as a reference.Results conducted on 3 technical indicators (Relative Strength Index, Stochastic Oscillator, and Moving Average Convergence/Divergence) in forex market using fuzzy logic in the form of expert advisor (EA) program shows that several expert advisor (EA) with predetermined parameters will produce appropriate stop loss output limits, which provide the largest profit of 128.04 in AUD/USD pair, 175.42 in GBP/USD pair and 250.26 in USD/JPY pair in the last 3 years.
Aplikasi Rekomendasi Pengemudi Perusahaan Jasa Travel Bismar Trans dengan Metode Simple Additive Weighting Benediktus Marcelino Pratama; Kartika Gunadi; Alexander Setiawan
Jurnal Infra Vol 8, No 2 (2020)
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Bismar Trans Travel Services Company is one of the engaged in transportation. During this time there are internal problems, one of which is the selection of the driver. So there needs to be a solution.This research was conducted to find the best driver. Travel Services Company Bismar Trans as a job provider uses the driver's recommendation application with the Simple Additive Weighting method with the PHP Programming Language, and the MySQL database.The results showed that the system calculation results were in accordance with the company's weight and criteria, the application could provide appropriate recommendations according to the company's needs and from the results of the questionnaire, the program had a good appearance, produced the right results, and had benefits.
Implementasi Web Service Integrasi Data Penelitian dan Pengabdian Masyarakat dengan SISTER Ristekdikti dengan Metode REST Lettisia Apriolita Harjono; Leo Willyanto Santoso; Justinus Andjarwirawan; Resmana Lim
Jurnal Infra Vol 8, No 2 (2020)
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Abstract

Every universities is obliged to apply research and community service. Based on data frm the official website of Ristekdikti, the number of lecturers at universities in Indonesia is very large, so we need a system to collect data and manage lecturer data. With so many data held by the lecturer, the data collection becomes ineffective when having to retype it. Therefore, a program was made to help lecturers to collect research and community service data through data that was already in the university’s information system. This research uses a web service that has been provided by SISTER Ristekdikti. The method used is Representational State Transfer (REST). Data from the university is about research and community service. Input data must be mapped first to fit the required data. The program of this research will provide the success of adding data to SISTER Ristekdikti. The test result of the research program show that the data has been successfully entered into the SISTER Ristekdikti mirror database. From the results of the questionnaire obtained the results that the overall application is good with an average value of 2.7. In addition, the application helps lecturers to complete P2M data and the data displayed in accordance with needs with an average value of 3.
Penerapan Probabilistic FSM pada AI musuh dalam game ARPG untuk gerakan AI tidak monoton Nicolas Wiyendi; Djoni Haryadi Setiabudi; Hans Juwiantho
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

Game is really popular and becoming one of human aspects of life from child, Along with times the needs of game AI that’s not monotone has become more and more real, The problem that made a game monotone is the AI repeating its movement, with that the AI that doesn’t repeat its movement is made, this AI will make players not bored because of spam movement also motivated to play the game. Previous research has been made but with different genre and different random technic.Game will be developed with Probabilistic finite state machine methods combine with random shuffle bag. Probability will be used for showing the animation so it will make the animation that’s come out more than one, and random shuffle bag will be used for the decision making for the movement so its evenly divided and not repeated.Result of the testing shows that AI is not repeating the movement but it can repeat the pattern of the movement, Problem with repeating pattern can be solve with probability on animation that’s come out so with the same pattern movement player can see different movement.
Sistem Informasi Administrasi dan Inventory Control pada Multistore UD. XYZ Gunawan Putra Pratama; Andreas Handojo; Alexander Setiawan
Jurnal Infra Vol 8, No 2 (2020)
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UD. XYZ is a trading business in the city of Mataram engaged in the sale of shoes, socks, bags and others. At present UD. XYZ does not have a computerized system for recording. The results of branch sales reports using paper records that will be given by the branch every day to the admin to record requires a long time to make a report. With this problem we need a system that can help record all transactions.To be able to help record all transactions at UD. XYZ is by implementing an administration that can produce reports on sales, purchases, calculating COGS, profit and loss. In addition there is inventory control to help control stock. The system is made using the programming language HTML, PHP, Javascript and MySQL database.The final result of the development of this system is that all branch transactions can be integrated such as purchases, sales, stock. The system can also show a variety of reports such as reports on sales, purchases, profit and loss, debt and others. The system created can also monitor the stock of each branch.
Penerapan Metode Resource Loaded Scheduling Untuk Aplikasi Manajemen Proyek Pada Perusahaan Kontraktor “X” David Filigon Lie; Alexander Setiawan; Lily Puspa Dewi
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

Currently PT. Liberty Persada Sakti still uses CPM method when making schedule, because CPM does not factor in resources the result is not that accurate for estimating time period of a project. And all records of transactions done and calculation of RAB still done manually in papers and microsoft excel, that causes the company became susceptible for mistake made in calculating finance.Looking at the background of the problem, an appliaction is designed to help PT. Liberty Persada Sakti. The application will use Resouce Loaded Scheduling method for making schedule for a project, recording company finance and controlling project management. Application will uses PHP programming language and MySQL for making database.The results obtained from this thesis is that, the new system is helping the company to create and record RAB, and by comparing the calculated result from CPM and Resource Loaded Scheduling, both method have it’s own advantages and disadvantages.
Implementasi Sistem Administrasi dan Inventory Control pada Warehouse UD. X Michael Pang; Lily Puspa Dewi; Yulia Yulia
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

Inventory control is a process to ensure the amount of supply available in a business process. Inventory control can help prevent losses and turnover and maximize customer satisfaction. The problems experienced by UD Warehouse. X is prone to stockout and inaccurate transaction recording. Inventory control and administration systems will be used to help avoid stockouts and record transactions accurately. Based on the transactions that have been recorded in the system, it can produce the ideal number of goods procured along with when the goods are procured. Reports for each period can be seen on the system in accordance with the recording of transaction data. The data used in calculating Economic Order Quantity and Reorder Point are transactions from 2018 at the UD warehouse. X.
Sistem Presensi Mahasiswa Berbasis Animated QR Code Menggunakan Raspberry Pi Michael Anggreawan Alexander; Justinus Andjarwirawan; Indar Sugiarto
Jurnal Infra Vol 8, No 2 (2020)
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Abstract

Now the use of technology in the field of information systems technology has expanded more widely in all fields, including in educational institutions. The current presence system that is currently running on the teaching and learning system in several educational institutions still uses conventional methods. This causes need more time in the presence process. Previous research has implemented a QR Code added to the Mobile System application. Presence features using the QR Code can be found on the Schedule and Absentee menus. The presence will automatically follow the number of meetings that have been conducted.So with this description will be done designing and creating a presence system workflow with optimizing QR Code that is equipped with Animated, so that it can run using the Android application and using the Raspberry Pi 4 system which is equipped with a camera to read the Animated QR Code, where the student data will be sent to the database using Internet connectivity.Based on the results of tests that have been done, students managed to get an Animated QR Code as presence data by logging in to the application that is incorporated in the Internet network and storing the presence data in the Database. Raspberry Pi Camera is able to read Animated QR Codes from the Android application by taking a few seconds using Raspberry Pi 4. Facilitates students in making presence using an Android-based application.
Voice Alert Sebagai Alat Bantu Penglihatan di Lingkungan Rumah dan Jalanan Secara Umum Berbasis Android Kevin Christian Salim; Liliana Liliana; Rolly Intan
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

According to research conducted by the Governors Highway Safety Assocation in 2017 showed that there are about 6 thousand pedestrians killed in America due to the habit of using smartphones while walking. Another study from Jeff Ronsen showed that the brain is overloaded and cannot function properly when performing these two activities at the same time. Walking while using a smartphone makes the concentration on the atmosphere of the road split and makes pedestrians not focus on the road but rather on the smartphone. Such behavior results in an increased risk of pedestrian accidents. One solution to prevent accidents above is to use the smartphone camera to take pictures in front of the user.Smartphone cameras can be used to retrieve input data in the form of images in real time which is then carried out the process of object detection and issue alerts in the form of sounds that mention the name of the detected object to smartphone users. Detected objects are objects that are generally located in home and street environments such as humans, cars, bicycles, motorcycles, and stop signs. Object detection using SSD MobileNet applied transfer learning that is further trained by using google open image dataset v6 dataset. The result of transfer learning is weight used to detect objects from android camera input.The test results showed that SSD_MobileNet_V2 with a learning rate of 0.01 and steps 10,000 has the best mAP value with 80% in detecting objects. The SSD_MobileNet_V2 can detect objects with an inference time speed of 80ms – 110ms in real time in a standby device, and voice alerts by instantly issuing alerts when an object is detected.