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Rolly Intan
Program Studi Informatika
Computer Science & IT

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Identifikasi Jenis Anjing Berdasarkan Gambar Menggunakan Convolutional Neural Network Berbasis Android Kevin Oktovio Lauw; Leo Willyanto Santoso; Rolly Intan
Jurnal Infra Vol 8, No 2 (2020)
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Dogs are raised by many people however, to maintain a dog, there are several factors that must be considered such as feed consumed, intensity of care, and cleanliness of the cage or the appropriate environment. Therefore, an android application is needed to identify the type of dog and provide information related to the type of dog. The method we used is You Only Look Once to detect dog objects in an image then the dog image is cropped, the results will be processed by the Convolutional Neural Network to identify the type of dog based on the image given after that displaying the results of its identification on android. The test results show that the identification results from CNN are very dependent on the results of predictions from YOLO because the input from CNN is the result of predictions from YOLO. YOLO has a disadvantage where it will detect dog dolls and dog fur as dog objects. The test results show the accuracy of YOLO to detect dogs is 94.242%, CNN accuracy of model I is 56.400%, accuracy of CNN model II is 40,000% and accuracy of CNN model III is 50.400%.
Implementasi Sistem Informasi Administrasi Pembelian, Penjualan, Retur dan Inventaris Produk Kosmetik Toko Beauty Dengan Platform Android Tommy Sugiarto; Silvia Rostianingsih; Rolly Intan
Jurnal Infra Vol 8, No 1 (2020)
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Integrated information system is needed on running a business process. The problem nowadays is there is no information system yet capable of support faster business processes. By using the development of technology, information system can process data which can easily manage business process at company. Nowadays, there are companies that are not using the technology optimally.To solve the problems, Beauty Store needs implementation of integrated information system by mobile is needed. By using the technology, can help in increasing of speed and accuracy when make a transaction. Information system of website and point of sales application can record any transaction of purchasing, selling, return and inventory by detail, so it can be practical and easy to use for transaction. From the analysis of questionnaire and system test, 76% of the respondent stated that the website and point of sales application can easily help to manage data of sales, purchasing, return and inventory, and the rest stated not that easy to help manage transaction data.
Menggunakan SPADE Algorithm Untuk Sistem Rekomendasi Film Aldy Noah; Rolly Intan; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 8, No 1 (2020)
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Nowadays, internet has become main thing in everyday life. This cause the consumption of entertainment media can be done anywhere and everywhere. One of the entertainments we enjoy is movie. With the increasing popularity of streaming media, movie fans also increase.Because of the increase of movie fans, the need of recommendation system that can recommend movie to its user also rise. System recommendation for movie is a complicated thing because of considerable amount of movie and movie fans.Sequence pattern mining is one of data mining method that can be used to gain frequent pattern from a set of data. Frequent pattern is a series of items that forms a pattern in a set of data. SPADE is one of the methods to find frequent sequence. The advantage of using SPADE is that speed in which SPADE can find frequent sequence in a data set. The benefit of using SPADE algorithm is in the speed of the algorithm to find frequent sequence. The resulting frequent sequence then can be used as a basis for recommendation to the user.
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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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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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.
Penerapan Metode Klasifikasi C4.5 dalam Pembuatan Website Identifikasi untuk Prediksi Kredibilitas Akun pada Media Sosial Instagram Yonas Christianto; Rolly Intan; Rudy Adipranata
Jurnal Infra Vol 9, No 2 (2021)
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Instagram is one of the biggest social media platforms nowadays. As one of the biggest platforms, there’s also a lot of people who makes this platform become unhealthy social media environment, by making fake or spam accounts. This is the problem that the author is trying to solve. By developing a website that people can use to gain information about the credibility of an Instagram account, so users can interact with the target accounts safely and comfortably. The method used to predict the credibility is C4.5 classification which produce decision rules. This decision rules will be used to predict the credibility of an Instagram account. Based on the test that have been carried out, the website can be used to determine the credibility of an Instagram account and the result of the classification method reached to 97,07%.
Aplikasi Pengenalan Plat Nomor Kendaraan Negara Indonesia Menggunakan Metode Support Vector Machine (SVM) Timothy Tamara; Rudy Adipranata; Rolly Intan
Jurnal Infra Vol 7, No 2 (2019)
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The license plate recognition system is one of the techniques of licence plate data handling through the use of image processing. This research is divided into two parts, namely the methods of training and the license plate recognition using SVM classification. The early image processing involves the preprocessing stage continued by locating the license plate and segmenting every character on it. The segmented characters will be processed further with SVM. Test results show a success where the accuracy rate of the plate recognition reaches 79.64%.
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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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.
Analisis Consumer Behaviour Pada Toko Retail Dengan Metode APRIORI-SD Nathaniel Edward; Rolly Intan; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 7, No 2 (2019)
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Retail store needs to evolve especially in digital age where ecommercebecoming more and more common and most peopleprefer the convenience of an e-commerce. One of the biggestadvantage of a “newer” e-commerce is they build they’rebusiness model on the foundation of processing data, whereasolder retail store doesn’t. Development of data mining andmachine learning are pushing older business model to do better.This journal represents the possibilities of using subgroupdiscovery as a method of analyzing transactional data. Subgroupdiscovery is a data mining technique which extracts interestingrule. APRIORI-SD is a method within subgroup discovery whereevaluation measure use by APRIORI-SD already prioritizingunusualness distribution of a given data.The result of this knowledge are able to find anomalies such asdifferentiating subgroup(s) with differences up to 50% comparedto overall distribution percentage. With the result people areable to create a better strategies in the future.
Pengelolaan Keuangan Pribadi yang Interaktif Berbasis Android Giovanni Christian Antonio; Rolly Intan; Rudy Adipranata
Jurnal Infra Vol 9, No 2 (2021)
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Technology is currently growing. Many people use smartphones in everyday life, especially Android. In Android, there are many applications that help make everyday life easier for example, applications that help with personal finance. The problem that the author wants to solve is personal finance applications between applications with different features and completeness for recording. In solving this problem, the author adds features from existing personal finance applications such as speech to text for input, recurring transactions, and calculating installments whether you can pay in installments or not. Based on the results of the tests that have been carried out, the application made is successful in recording finances and adding good features such as speech to text, recurring transactions, and calculating installments by looking at income and expenses. The results of the questionnaire show an average of 4.54 for interactive personal financial management applications.
Co-Authors Agustinus Noertjahyana Aldy Noah Alvin Nathaniel Tjondrowiguno Calvin Kamtoso Christian Suryadi Doenny Auddy Lionovan Evandruce Filbert Fernando Febrianto Giovanni Christian Antonio Hans Juwiantho Henry Novianus Palit Isak Imanuel Leong Justinus Andjarwirawan Kevin Christian Salim Kevin Oktovio Lauw Leo Willyanto Santoso Leonard Evan Widodo Liliana Liliana Lily Puspa Dewi Nathaniel Edward Rudy Adipranata Silvia Rostianingsih Sutikno Goutama Timothy Tamara Tommy Sugiarto William Sim Jayapranata Winlian Winlian Yonas Christianto