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INDONESIA
Jurnal Infra
Published by Universitas Kristen Petra Surabaya
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Core Subject : Science,
Computer Science & IT
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Articles 38 Documents
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Search results for , issue "Vol 8, No 2 (2020)" : 38 Documents clear
Pembuatan Website untuk Rekomendasi Smartphone Bryan Christiansen; Leo Willyanto; Hans Juwiantho
Jurnal Infra Vol 8, No 2 (2020)
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Abstract

The era of digitalization is upon mankind. Humans as a social being are heading towards a faster way of exchanging information. With all accessible information known to man is on our fingertip, the use of gadgets is no longer a luxury, but becomes a necessity.The topic for this thesis is creating a website that can give those who need to buy smartphone but do not understand the details of difference of each product. Recommendations that are given to the user are based on their preferences like price or the size of the smartphone. The website converts the criteria of preferences that are inputted by the user into  more detailed parameters.The result of this thesis can give users a list of smartphones recommendations. Via the list given, user can have a new perspective and options that are small in size to choose a smartphone that matches user’s criteria of preferences.
Aplikasi untuk Monitoring Jaringan IoT Menggunakan Algoritma Address Shuffling dengan HMAC Elvan Alandi; Agustinus Noertjahyana; Justinus Andjarwirawan
Jurnal Infra Vol 8, No 2 (2020)
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With the increasing market of the Internet of Things and Wireless Sensor Network (WSN). Increasing network security on the Internet of Things is important. Internet of Things is used starting from smart homes, smart campuses, smart cities, etc. so securing the Internet of Things network is more important than securing ordinary local networks. In addition, IoT devices have weaknesses in computing capabilities and storing sensitive data. There are four main types of weaknesses in the network, namely address spoofing attacks, false address conflicts, address exhaustion attacks and negative reply attacks.The method used is Address shuffling with HMAC. This method is run by the DHCPv6 server (Dynamic Host Configuration Protocol) as a network coordinator and is monitored by the Android application to secure the Internet of Things network. DHCPv6 server is used on the Internet of Things network because it is faster and easier to control through the server, can be used on large networks and stop and restart commands can be done on the server. Additionally, when a DHCPv6 server has a problem, this will not interrupt other devices on one network.The result of this program is a monitoring application that is able to notify users of attacks and the network is able to minimize four weaknesses in the network. So that later this application can help users to take preventive actions against attacks on the network.
Perbandingan Character Recognition dan Text Recognition Menggunakan Extended MNIST dan IAM Database dan Tesseract pada Tulisan Tangan Ijazah Made Yoga Mahardika; Kartika Gunadi; Alexander Setiawan
Jurnal Infra Vol 8, No 2 (2020)
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The problem with handwriting is how a technique can recognize various types of writing in various forms. Different from computer letters that consistent, each human’s handwriting is unique in the form and consistency. These problems can be found in ijazah documents where the data is handwriting.Data location segmentation uses run length smoothing algorithm with dots as segmentation features. Handwritten text recognition (HTR) technique requires data segmented into words. Handwritten character recognition (HCR) technique requires data segmented into characters. HCR uses the LeNet5 model with the EMNIST dataset. HTR uses tesseract tool and convolutional recurrent neural networks with the IAM database.Experiment on 10 samples of scan images, segmentation obtained an average accuracy of 95.6%. The HCR technique failed in the letter segmentation process in cursive handwriting. The best technique is the HTR with tesseract tool managed to get word accuracy above 69% tested on 5 scan samples, 15 data fields.
Klasifikasi Motif Batik menggunakan metode Deep Convolutional Neural Network dengan Data Augmentation Samuel Febrian Tumewu; Djoni Haryadi Setiabudi; Indar Sugiarto
Jurnal Infra Vol 8, No 2 (2020)
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Related researches before used Convolutional Neural Network (CNN) VGG to classify batik motif which limited only on geometrical pattern and implemented 2 augmentation consist of scale and rotation. Therefore, this research uses CNN Residual Network (Resnet) with 4 augmentation technique on both geometrical and non geometrical batik pattern.This research use (Resnet) as a main architecture of CNN to identify batik pattern. Batik motives for this research are from geometric category which is ceplok, kawung, lereng, nitik, and parang. And from nongeometri category are semen and lunglungan. Furthermore, the dataset will be applied scale, random erase, rotation, and flip augmentation to increase the quantity and variation of batik dataset.The results show that CNN Resnet with data augmentation on training dataset gives accuracy up to 84,52% on Resnet-18 and 81,90% on Resnet-50. furthermore, rotation augmentation adds 4,06%, random erase augmentation adds 9,38%, scale augmentation adds 6,52%, and flip augmentation adds 8,58% on accuracy
Smart Trash Untuk Membantu Petugas Kebersihan Menggunakan Arduino Riesky Akbar; Djoni Haryadi Setiabudi; Handry Khoswanto
Jurnal Infra Vol 8, No 2 (2020)
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Many times, the garbage bins at public places are overloaded even exceeding capacity or overflow which creates unhygienic conditions for people as well as ugliness to that place and leaving bad smell. The full garbage bins are left to pile up and wait until they are taken back by the janitor. To avoid that kind of situation, a smart trash is made for assisting the janitor to monitoring the level content of the garbage bins. Navghane [5] has created a smart trash that can monitoring level of garbage by the web browser. This thesis will create a smart trash system with push notification by a smartphone application that will be easier for janitors pick up the garbage bin just in time.The garbage bin is installed with Arduino WeMos D1 R1 system and proximity sensor E18-D80NK which will show the status of the garbage at the current level. Data obtained from the sensor will be sent with a microcontroller that connected with Wi-Fi to the database. That will be data exchange in real-time between an application on the user’s smartphone with the smart trash device.The result of this thesis is the device can detect and show the garbage level in real-time with percentage and 2D images on the smartphone application, and provide a push notification that appears when the garbage level has full or reached the upper limit. Proximity sensor E18-D80NK is prone to detect dry trash, which is transparent and thin, but can detect dry trash which are solid and not transparent.
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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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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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.
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.
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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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.

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