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Kota surabaya,
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INDONESIA
Jurnal Infra
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Articles 58 Documents
Search results for , issue "Vol 8, No 1 (2020)" : 58 Documents clear
Sistem Pemantauan Pasien berbasis IoT menggunakan ESP8266 dan Arduino Stefanus Adi Putra Pratama; Djoni Haryadi Setiabudi
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Health monitoring is a major problem in the world today. Due to lack of proper health monitoring, patients can suffer serious health problems. There are many devices today to monitor the health of patients that health experts use to monitor their patients but because it is not integrated with IoT, this method can add to the burden of medical personnel to conduct examinations and cannot be done anytime, anywhere. This research was conducted to make it easier for a doctor and a relative of a person with heart problems to conduct surveillance in Real Time. The Arduino device will read each sensor and by using services from ThingSpeak and IFTTT, data readings can be received and visualized, then automatically recorded on Google Sheets so that they can be accessed either via the internet or mobile applications. The combination of IoT and Arduino is one way to introduce the IoT method. By utilizing IoT, monitoring can be made easier because it is not limited in space, real-time delivery of information also facilitates decision making in the event of a critical situation.
Sistem Penghitung Jumlah Pengguna pada Ruang Kerja menggunakan Background Subtraction Nico Kurniawan; Lily Puspa Dewi; Henry Novianus Palit
Jurnal Infra Vol 8, No 1 (2020)
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The computer center at Petra Christian University has not been able to measure the utilization of laptop space, so it cannot know the number of users who are using laptop space facilities. Despite the existence of a registration system in using these facilities, the number of student registration lists with the number of users who use the laptop room is not appropriate because there are students who do not register first. For this reason, the system for calculating the number of users uses background subtraction using the MOG2 and GMG methods so that it can help find out the number of people who use laptop room facilities.In this study will create a program to count the number of users by detecting people, and create a website program system to display data on the number of users. This system was created using C ++, and a website was created using PHP and MySQL databasesThe results of this study indicate that the lighting factor and frame resolution are very influential on the accuracy of the user's detection. The effect of detection lighting can be seen from the results of the confusion matrix which shows that what is detected mostly exceeds the number of users in the room. While the effect of resolution on detection can be seen from the results of F1 scores on one of the lighting videos that showed using a resolution of 1280x720 the results of the MOG2 method reached 68% and the GMG method reached 40%. After reducing the frame to 640x360, the average value of MOG2 reaches 86% and the GMG method reaches 67%.
Sistem Rekomendasi Film menggunakan User-based Collaborative Filtering dan K-modes Clustering Ichwanto Hadi; Leo Willyanto Santoso; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 8, No 1 (2020)
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Film is one of the popular entertainment media in the community. The number of titles that have been released makes it difficult for people to find which movies they want to watch. To overcome this problem, it is necessary to have information about the film that will make it easier for the public to find films that fit the user's preferences, therefore the user needs a system that can provide movie recommendations.The movie recommendation system using User-based Collaborative Filtering is one method that is able to provide recommendations. K-mode Clustering can also be used as an additional accuracy of recommendations by grouping user preferences history.According to the results of the testing of the k-modes clustering method, the best number of clusters for K-Modes Clustering for film recommendations obtained using the Elbow Method and Silhouette Coefficient is k = 3. From the results of testing the accuracy of the recommendations with Mean Reciprocal Rank (MRR) generated average MRR of 0.17092270381865 for film recommendations with a data train and test ratio of 80%: 20% and an average MRR of 0.15072658511145 for film recommendations with a data train and test ratio of 60%: 40%. From the results of the two tests above, it can be concluded that the level of accuracy of the film recommendations according to the MRR is sufficient because the MRR is close to 0.
Aplikasi SmartRoom Berbasis Blynk untuk Mengurangi Pemakaian Tenaga Listrik Richard Prayogo Gozal; Alexander Setiawan; Handry Khoswanto
Jurnal Infra Vol 8, No 1 (2020)
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This study aims to create a Blynk-based application as a controller for SmartRoom to reduce unnecessary electricity usage. As for the background of this writing because today almost all activities that humans do everyday are related to electricity usage. But there are also many people who use electricity powerfully. This excessive use of electricity can cause energy waste and increase electricity costs. With increasing electricity usage, savings can be made by turning off lights or electrical appliances that are not used through the help of the Internet of Things through Blynk-based applications.The making of this application is made using the interaction between the microcontoler WeMos D1 R2 which is connected with sensors and modules to detect data to be processed for SmartRoom. For applications using Blynk which is connected to the system and used to make it easier for users to control devices that are connected remotely.The results showed that in a trial period of 1 week between normal conditions and the SmartRoom system resulted in a power savings of 28% and could be realized with a reliability level of 100%.
Deteksi Helm pada Pengguna Sepeda Motor dengan Metode Convolutional Neural Network Albert Albert; Kartika Gunadi; Endang Setyati
Jurnal Infra Vol 8, No 1 (2020)
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In order to ensure security measures, traffic violations are an important matter. One of the most traffic violations is the use of helmets on motorcycle riders. Therefore, a program was created that could help in identifying helmet users for motorcycle riders. In the process of identifying data, a problem that is often experienced is helmet characteristics. In this study a filter experiment will be conducted in order to recognize the characteristics of the helmet. This study uses 2 methods, You Only Look Once (YOLO) and Convolutional Neural Network (CNN). The YOLO method is used to find regions of motorbikes and motorbike riders. The CNN method is used to classify helmet users in motorcycle riders. The results of the CNN classification will be calculated using a confusion matrix in order to get the accuracy of the correct prediction. The program results from this study will identify helmet users on motorcyclists in the video. Accuracy obtained between motorcycle riders driving with helmets and without helmets is 70.49%.
Aplikasi Penyaluran Sampah Anorganik Non-Residu berbasis Android Daniel Christian Tedja; Alexander Setiawan; Lily Puspa Dewi
Jurnal Infra Vol 8, No 1 (2020)
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Environmental pollution is increasing every day along with the increasing number of products and consumption behavior of the society in general. Things that must be done to overcome the increase in the volume of waste are to reduce the production of waste, especially inorganic types because it is very difficult to decompose and increasing society awareness to dispose of waste. Viewed from these two aspects, society need a system that is able to give them encouragement to dispose of wasteThe Android-based non-residual inorganic waste distribution application intended to help the owner in raising public awareness to dispose of waste, especially non-residual inorganic type. This application will be made using the Java programming language using Android Studio. This android-based application helps the admin to add as many drop post as possible so that it can reach the people in the city of Surabaya evenly. In addition, this application also records the submission process that has been confirmed by the confirmator also picked up waste by the courier so that the admin get the waste collected data.The test results show that this application runs well on devices with Android 7.1.1 (Nougat) but does not run well for Android 4.4.3 (KitKat) because some features can only run on Android 7.0.0 (Nougat) and above. This application runs the waste submission feature, the addition of the drop post, the notification feature, displays submission information, chat feature, and the navigation feature that makes it easy for the society to use the application so that it is expected to encourage the society to dispose of their inorganic waste.
Pengenalan Golongan Jenis Kendaraan Bermotor pada Ruas Jalan Tol Menggunakan CNN Ricky Herwanto; Kartika Gunadi; Endang Setyati
Jurnal Infra Vol 8, No 1 (2020)
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Payment system at the toll gate has been improved, from using physical money replace with e-money. The system needs to which class types of the vehicle entering the toll gate so the system can know how much will it take from the e-money. There are five class types of vehicles, but there are still many toll gates that have high limit to limit the class of vehicles that can enter, making it difficult for class types other than the first class type because they only have a few gates. This research uses You Only Look Once and Convolutional Neural Network as its methods. You Only Look Once is used to detect the location of the vehicle in the image. Convolutional Neural Network is used to classify the class types of the vehicle in the image. For convolutional neural network model, one well-known model is VGG16 which is good in classifying images. The result of this research that will be displayed is the classified of the class type of the vehicle in the form of strings. The result from tests that were done is an accuracy of 93.5% and f-score of 81.37% from self-configuration convolutional neural network and an accuracy of 90.76% and f-score of 73.53% for VGG16 model.
Aplikasi Pengaturan Menu Makanan Diet Menggunakan Metode Genetic Algorithm berbasis Android Nita Hidayat; Andreas Handojo; Anita Nathania Purbowo
Jurnal Infra Vol 8, No 1 (2020)
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A diet is a healthy lifestyle that helps people control their eating habits with losing weight as the main goal. As time goes on, diet has also been developed into various types and each type of diet even has specific goals for people certain allergies or diseases. However, often people are less able to apply a good and correct diet because they do not know what type of diet is suitable and how to set the right food menu.To help people go on a diet, an application is made that can adjust the diet food menu according to the person's condition based on the profile data entered into the application. The method used in creating the diet menu is Genetic Algorithm. This diet application was created and developed for smartphone. The results of the application will provide a food menu arrangement for a week in accordance with user profile data.The test results show that the factors that influence the length of time running the Genetic Algorithm process are the number of epochs and the number of population used. The greater the number of epochs or the amount of population used, the longer the running time duration of the Genetic Algorithm process.
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.
Penerapan QRCode Untuk Presensi Mata Kuliah Mahasiswa Dengan Yii Framework Kristian Suryajaya The; Djoni Haryadi Setiabudi; Justinus Andjarwirawan
Jurnal Infra Vol 8, No 1 (2020)
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In this Presence activity it is still done manually and still uses paper for the Presence system, and there are still many cheats in the Presence process. There are several studies that have used the Yii Framework for the Presence system but in that study it was still less successful in overcoming the problem well and the lack of features that prevented fraud in the presence. This research was made by conducting a literature study on previous research studies aimed at learning in the framework and learning about the presence system, then an analysis of the old system, problem analysis and needs analysis will be made and a website for the presence system with QRCode using the framework yii , and the system will be tested whether the system is suitable for use. The results obtained from this application are students can attend online using QRCode and check according to the location of the student and the time at the time of attendance.