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Agustinus Noertjahyana
Program Studi Informatika
Computer Science & IT

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Pengenalan Gambar Tempat Wisata Dengan Deep Local Feature Dan Support Vector Machine Angelika Dibijo; Agustinus Noertjahyana; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Saving moment at a place usually done with photos. However, due to the large number of photos, organizing photos becomes difficult. A tourist may not know the name of the tourist spot he visited, do not have time to name the photo or forget the name of the place the photo was taken. Manually searching for places names through photos will take a long time.This research will conduct a trial with the implementation of the Deep Local Feature (DELF) method and Support Vector Machine (SVM) to recognize photos of tourist attractions automatically. The DELF method is an effective method for capturing image features, especially place pictures. After capturing image features, the images will be grouped based on features with SVM.The test is carried out to get the value of the parameter taking features with DELF and classification with SVM so that the recognition of tourist attractions has a high level of accuracy. For 153 image classes, DELF is performed with an image threshold of 50 and a max feature of 1000. While the classification uses SVM with kernel rbf with cost 10 and gamma 0.01. By using the DELF and SVM obtained accuracy with a test data of 0.6178.
Aplikasi Notifikasi Telegram Untuk Mengetahui Trend Forex Trading Dengan Menggunakan Pola Japanese Candlestick Ricky Kuncoro; Agustinus Noertjahyana; Justinus Andjarwirawan
Jurnal Infra Vol 8, No 2 (2020)
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Abstract

Forex Trading is a business that promises high profit and freedom such as not needing big capital and a physical office. However, the reality is that not every trader can take a satisfying profit because of not realizing changes of trend direction in a market. Because of that, there needs to be an application that is capable of telling when there will be a change of trend direction on the market in real-time so that a trader can maximize the potential to take advantage of a large amount of profit.Expert Advisor is used as a reading of a change of trend direction automatically and inside it has a method to read the direction of market trend, which is called Japanese Candlestick. There are many types of Japanese Candlestick Pattern that already exist however in this research there will be 4 patterns that will be used, which are Hammer Pattern, Doji, Engulfing, and Custom. Then, Telegram will be used as chatbot to notify users of a change in trend direction.Testing result has proved in EUR/USD currencies in time frame H4 that the application that was made was capable of reading reversal trend of average 44,76% and continuation trend of average 67,60% in three years. To deliver the notification on Telegram, Expert Advisor will generate the reading of trend direction using Japanese Candlestick in file form for the chatbot in Telegram which will use Python programming language to get the file. Then the  chatbot will read and send the file of the reading result in  notification form to Telegram users.
Sistem Pendeteksi Kebakaran dengan Arduino pada Gudang Gideon Ekacipta Hutama; Agustinus Noertjahyana; Resmana Lim
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

Fire is undesirable but fire is unavoidable. Individually owned warehouses that are small to medium in size usually do not receive sufficient supervision. Therefore we need a smart system that can provide information to the owner about the state of the warehouse in real time so that the owner can receive notifications quickly in the event of a fire. Internet of Things as a platform where every tool is getting smarter, every process is smart, and communication is getting more informative every day. The Internet of Things through its development has provided us with many new technologies that enable tool-to-tool communication, as well as tool-to-human communication. From this technology allows us to create a suite of tools that function to monitor the warehouse for us and give us notifications in case of fire. From the tests conducted by the author, it can be seen that the level of smoke density that causes fires is around 5000PPM after being compared with similar products on the market. From the test it was also found that the average notification delay is 3.8 seconds which according to the ITU-TG.1010 standard is for delay (end to end <10s) so 3.8 is a good delay and meets these standards.
Implementasi Container Kubernetes untuk Mendukung Scalability Kezia Yedutun; Agustinus Noertjahyana; Henry Novianus Palit
Jurnal Infra Vol 7, No 2 (2019)
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Abstract

Increasingly advanced technological developments have caused many demands on the client-server to carry out their duties. Existing server capabilities of access that comes from the client. The ability of the server to exceed the limit will experience overload so that many of the adverse effects that will be caused include a decrease in the speed of access even causing a server down.This study tries to propose a solution by providing an additional access point on the server that is using containerization technology on Kubernetes. Where the container is the access point for the client to the server. This containerazitation technology is implemented by utilizing scalability. Scalability in the container will adjust to the needs of the client and server.With container technology, access to the server can be done by adding a container for the access point if it is felt full and will resuce the container if the number of accessing clinets decreases. This will minimize the server overload so that the client can access the server without difficulty due to the lack of access points.
Analisis Strategi Breakout dalam Pengambilan Keputusan Order Pada Trading Forex Vincentius Bintang Febrianto; Agustinus Noertjahyana
Jurnal Infra Vol 9, No 1 (2021)
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Trading on forex with a strategy is an effort made by traders so that trading can be more profitable, one of which is using a breakout strategy and cannot be separated from determining the range of this strategy. However, in trading using a breakout strategy, sometimes some traders are not precise in determining the range. This can cause traders to lose profits. Therefore, it is necessary to establish an expert advisor program that is able to help traders make decisions in determining ranges. The expert advisor program mechanism that is created is to determine the initial reference range first to become the range amount that will be used for trading using the breakout strategy. The initial reference range is then copied to the highest and lowest prices in history. The program is then tested through backtesting.The results of tests carried out on the EUR / USD, GBP / USD, and USD / JPY pairs for 3 years can generate profits from obtained 4 initial reference ranges in various conditions of price movements. Of the three ranges of each pair on the H1 time frame, the most profitable range is the 107 pip range in the EUR / USD pair with a profit of 2528.64, the 100 pip range in the GBP / USD pair with a profit of 2628.31, the 74 pip range in the USD / JPY pair with a profit of 1691.47. In the H4 time frame, the most profitable range is 90 pips in the EUR / USD pair with a profit of 2093.06, 99 pips in the GBP / USD pair with a profit of 2429.07, 100 pips in the USD / JPY pair with a profit of 1279.94.
Aplikasi Rekomendasi Supplier Supermaket Greensmart dengan Metode Analytical Network Process Aldo Vallian Sayoga Tanu Wijaya; Alexander Setiawan; Agustinus Noertjahyana
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

In Running of bussiness, supplier is one of the important components. Therefore, the right supplier selection will make the business process run smoothly. During this time the process carried out at the greensmart supermarket is still done manually. The manual process can lead to the selection of suppliers that are less appropriate for greensmart supermarkets. This can have a negative effect on greensmart supermarkets which can suffer from time and material losses.With these problems, a system is needed to help greensmart supermarket owners choose suppliers. This system will provide an alternative decision for greensmart supermarket owners in choosing suppliers for goods that are supplied by the package. For the method to be used is the analytical network process. This method was chosen because it can handle the problem of relations between sub criteria. This method works by calculating user input in the form of weight comparison and then processed to produce an eigen vector then entered into a matrix called unweighted supermatrix, then an unweighted supermatrix multiplication process will occur with a cluster matrix, a cluster matrix is a weight comparison of existing criteria then processed into an eigen vector and the final process is the process of calculating the limiting matrix which is the result of the appointment of the weighted supermatrix until the results of the same row then the results will be made into recommendations.For the results in this thesi it can be concluded that the program can produce effective results and is in accordance with the needs of the greensmart supermarkets. In addition, the ANP method can produce results that are quite effective but have a fairly difficult complexity.
Pembuatan Konfigurasi SSL yang Aman untuk Diimplementasikan pada Apache dan Nginx Eka Wijaya Budihardjo; Lily Puspa Dewi; Agustinus Noertjahyana
Jurnal Infra Vol 9, No 2 (2021)
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Exploitation of a web server is a form of behavior of someone who takes advantage of a software vulnerability or security weakness. Exploitation of the web server can be in the form of Zombie Poodle, Golden Doodle, Poodle, and others. In addition, there are also man-in-the-middle-attacks such as protocol downgrade attacks and cookie hijacking. Therefore, this study aims to examine a web server based on SSL configuration and provide suggestions for a better and more secure SSL configuration. Testing in this study uses a program called SSLyze and this research produces a detailed report that can help to configure SSL on the Apache web server and Nginx web server properly and correctly in order to prevent further attacks. In addition to increasing security on the web server , using the right SSL configuration can make web server performance become optimal. The test results show that implementing the tested SSL configuration has a good level of security so that it can prevent security problems on the web server and can make web server performance become more optimal and efficient.
Penerapan Convolutional Neural Network Untuk Klasifikasi Kanker Kulit Melanoma Pada Dataset Gambar Kulit Michael Kurniawan Soegeng; Liliana Liliana; Agustinus Noertjahyana
Jurnal Infra Vol 9, No 1 (2021)
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Melanoma skin cancer is one of the most dangerous skin cancers where the ferocity and speed of metastasis has caused a high mortality rate among afflicted when the cancer is not treated. Early detection of the cancer and prevention by removing the affected skin have been shown to decrease the mortality rate on afflicted patient. Thus, development of a method to help automatically diagnose the cancer and classify between cancer and normal mole or birthmark is needed. Previous methods still show limitations in classifying melanoma skin cancer. This study proposes a classification system using convolutional neural network trained on the original ISIC 2020 dataset and hair removed dataset which is then combined using ensemble. The dataset used is first preprocessed using the hair removal algorithm convolutional neural network using EfficientNet B0 – B7 and ResNet-50-v2 will be trained using ISIC 2020 dataset and ISIC 2020 dataset processed with hair removal algorithm.The model is evaluated using test data from ISIC 2020 dataset on area under the receiver operating characteristic curve (ROC AUC). The model trained will then be combined using ensemble where the result of the model will be averaged to give a combined prediction. The result of the test shows that the model trained is capable to classify melanoma and non-melanoma images. It is also shown that by removing hair from the skin image reduces the accuracy of th e model. Using Ensembling on the different models trained into one meta-model also increases the accuracy of the prediction giving a high final accuracy of 93.108%.
Push Notification Pada Sistem Penjualan Tiket Workshop dan Event Menggunakan Firebase Cloud Messaging Berbasis Progressive Web Application Nirwan Jaya Suwarno; Justinus Andjarwirawan; Agustinus Noertjahyana
Jurnal Infra Vol 9, No 2 (2021)
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Abstract

The use of website technology in the ticket sales system is the rightstep to improve the company's business processes. The use of thewebsite can have a great impact on the buyers and sellers of tickets,namely with the existence of a website information will be easilyaccessible. However, after successfully carrying out the process ofbuying and selling tickets through the website, the seller needs quitea lot of time or has not been effective in communicating with thebuyers. This problem occurs because buyers use variouscommunication, so the sellers need to use sundry applications toreach all buyers.This ineffective way of communicating can be solved by embeddinga feature on the website, namely push notifications. Seller can usepush notifications to send broadcast messages to their buyerswithout missing anything. All buyers can be reached easily becausepush notifications are embedded directly in the application so thatbuyers do not need to install other applications to communicatewith sellers.The results showed that the ticket sales system with pushnotifications succeeded in increasing the effectiveness decrease thetime of using the application to send messages by 38.4% comparedto using external applications.
Aplikasi Android Untuk Backup dan Sinkronisasi File Menggunakan Amazon Web Services Simple Storage Service Brian Stanley; Henry Novianus Palit; Agustinus Noertjahyana
Jurnal Infra Vol 7, No 2 (2019)
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Abstract

Cloud storage technology is a solution for the local storage which consumes lot of time for maintaining in the customer’s side. Amazon Web Service (AWS) provides S3, a storage that can be used for data backup purposes, but to use its features everytime users need to login through web browser. A solution to ease the use of S3 features is to utilize a mobile app that could automate the data backup and restore process.To solve the problem of unstable connection causing file transfers to start from the beginning each time, AWS provides an API that allows resumable uploads. TransferUtility from AWS will automatically issue a resume operation on the failed upload. Test results conclude that AWS S3 have a comparable connection to other cloud storage providers such as Google Drive, Dropbox, and OneDrive. The strength of S3 is its ability to automatically resume failed transfers caused by an unstable internet connection.
Co-Authors Aldo Vallian Sayoga Tanu Wijaya Alex Christopher Alexander Setiawan Alvin Nathaniel Tjondrowiguno Andreas Wijaya Kangnata Angelika Dibijo Anita Nathania Purbowo Antonius Tanuwijaya Bobby Kwariawan Brian Stanley Bryant Plaudo Santoso Calvin Kamtoso Dave Julianno Tandra Djoni Haryadi Setiabudi Eka Wijaya Budihardjo Elvan Alandi Endang Setyati Gerry Eka Gideon Ekacipta Hutama Handry Khoswanto Hans Sebastian Thenady Henry Novianus Palit Justinus Andjarwirawan Kevin Benedict Kezia Kurniawati Kezia Yedutun Liliana Liliana Lily Puspa Dewi Michael Kurniawan Soegeng Nico Gufron Nikita Christy Nirwan Jaya Suwarno Resmana Lim Reyner Wijoyo Ricky Kuncoro Rolly Intan Satriany Lauri Sutikno Goutama Vincentius Bintang Febrianto William Chen Winata Sukiman