2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)最新文献_第5页

Development of The Personnel Monitoring System Using Mobile Application and Real-Time Database During the COVID19 Pandemic 新型冠状病毒大流行期间基于移动应用和实时数据库的人员监控系统开发

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315377

Muladi, Aripriharta, I. Zaeni, S. Sendari, A. Mahamad, Fahmi, Yusrandi

{"title":"Development of The Personnel Monitoring System Using Mobile Application and Real-Time Database During the COVID19 Pandemic","authors":"Muladi, Aripriharta, I. Zaeni, S. Sendari, A. Mahamad, Fahmi, Yusrandi","doi":"10.1109/ISRITI51436.2020.9315377","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315377","url":null,"abstract":"Coronavirus disease 19 (COVID19) is a disease caused by the new coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This disease has infected almost the entire world with a total of 47.5 million sufferers and a death toll of 1.2 million people so that WHO categorizes it as a global pandemic. The COVID19 case in Indonesia still shows an increasing trend even though various prevention efforts have been made. Proven efforts to reduce the spread of COVID19 include limiting physical interactions between humans or physical distance, maintaining the cleanliness of hands and limbs by washing with soap, and limiting outdoor activities by staying at home. Several government and private agencies have required employees to report their health conditions via web pages. Real-time and accurate mobile applications can help prevent the spread of COVID19. This research will develop a real-time monitoring and command system using mobile applications and cloud computing technology. The application will collect GPS-based location data, the number of people in the vicinity identified via Bluetooth, and the user's body condition in the form of temperature and oxygen levels in the blood. User data is stored and processed in a real time database in cloud computing which can be accessed through an application on the user's smartphone. The database also stores data on Covid19 sufferers and where they live. The application provides alerts when in a crowd and notifies the status of the region the user is in. Advice is given by the app when the recording of the body condition points to the early symptoms of COVID19.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128983287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Single Tuned Filter Planning to Mitigate Harmonic Polluted in Radial Distribution Network Using Particle Swarm Optimization 基于粒子群优化的径向配电网谐波污染单调谐滤波器规划

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315518

Muhira Dzar Faraby, Andi Fitriati, Christiono, Usman, Akhyar Muchtar, Andi Nur Putri

引用次数: 4

A Stacking Ensemble of Multi Layer Perceptrons to Predict Online Shoppers' Purchasing Intention 多层感知器的堆叠集成预测在线购物者的购买意愿

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315447

Siddartha Mootha, S. Sridhar, M. S. K. Devi

{"title":"A Stacking Ensemble of Multi Layer Perceptrons to Predict Online Shoppers' Purchasing Intention","authors":"Siddartha Mootha, S. Sridhar, M. S. K. Devi","doi":"10.1109/ISRITI51436.2020.9315447","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315447","url":null,"abstract":"With the rapid development of the internet, the field of E-Commerce has seen tremendous growth. The easy accessibility of viewing and purchasing products, and having it delivered to your doorstep is what makes E-Commerce extremely successful. E-Commerce also caters to almost every possible field, ranging from electronics to fashion to groceries. The number of visitors on E-Commerce websites is growing at a rapid pace, but the number of purchases remains constant. A novel stacking ensemble system has been proposed, which makes use of Multi-Layer Perceptron's to detect the intention of a user on whether a product would be purchased or not. ‘Online Shoppers Purchasing Intention’ Dataset has been used. The proposed stacking ensemble model achieved an accuracy of 94% in predicting whether a user will purchase a product or not, based on the session details. To evaluate the proposed system, it is compared to over 15 classification algorithms, as well as existing systems that make use of the dataset. The results obtained show that the proposed stacking classifier outperforms the various classification algorithms as well as existing systems that make use of the dataset.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128840321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

DDoS Attack Detection in Software Defined Network using Ensemble K-means++ and Random Forest 基于集成k -means++和随机森林的软件定义网络DDoS攻击检测

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/isriti51436.2020.9315521

Diash Firdaus, R. Munadi, Yudha Purwanto

引用次数: 5

Hybrid Method for Flower Classification in High Intra-class Variation 高类内变异花分类的杂交方法

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315379

Faisal Ridwan Siregar, Wikky Fawwaz Al Maki

引用次数: 6

Design of Optimal Satellite Constellation for Indonesian Regional Navigation System based on GEO and GSO Satellites 基于GEO和GSO卫星的印尼区域导航系统最优卫星星座设计

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315405

Astriany Noer, Farid Armin, Kamirul, Janne Anna Christa Wejay

{"title":"Design of Optimal Satellite Constellation for Indonesian Regional Navigation System based on GEO and GSO Satellites","authors":"Astriany Noer, Farid Armin, Kamirul, Janne Anna Christa Wejay","doi":"10.1109/ISRITI51436.2020.9315405","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315405","url":null,"abstract":"Autonomous regional navigation system provides independent and accurate positioning services continuously to a selected region. This paper presents the space segment's design algorithm for the Indonesian regional navigation system, which will provide real-time self-reliance positioning, velocity, and timing services to the civilians and more accurate positional service to military personnel. The purpose of this research is to find the optimal satellite constellation of combined Geostationary (GEO) and Geosynchronous (GSO) satellites with 100% coverage throughout Indonesia territory and better positioning service to the user using a minimum number of satellites. The Genetic Algorithm (GA) has been used for finding optimal satellite constellation, which gives the least mean Geometric Dilution of Precision (GDOP) over the selected places in Indonesia. Then the optimal constellation is simulated in System Tool Kit (STK) to verify the performance of the Genetic Algorithm results. The design algorithm's output depicts that the optimized satellite constellation for the Indonesian regional navigation system consists of 3 GEO and 4 GSO satellites. The simulation results in STK indicate that the proposed satellite constellation provides accurate position and navigation services to entire Indonesia with the mean GDOP of less than 4 value.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114167684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Analysis of Indonesia's Internet Topology Borders at the Autonomous System Level 在自治系统层面分析印度尼西亚的互联网拓扑边界

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315345

Timotius Witono, S. Yazid

{"title":"Analysis of Indonesia's Internet Topology Borders at the Autonomous System Level","authors":"Timotius Witono, S. Yazid","doi":"10.1109/ISRITI51436.2020.9315345","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315345","url":null,"abstract":"One of the vital parts of the Internet topology structure of a country is its national borders with other countries, this is the outermost part of a country's Internet topology. The purpose of this study is to analyze the national borders of Indonesia's Internet topology at the autonomous system (AS) level, in the period 2010 to 2019. The main processes involved in the research include collecting datasets from various sources, mapping the Indonesia's Internet topology borders in graph representation, then analyzing them. The three main components analyzed are Indonesia's AS which acts as a client (AS-ID Border), non Indonesia's AS which acts as a provider (AS Provider), and the customer to provider interconnection (C2P Border-Provider) between the two. The results of the analysis show that the role of an AS-ID Border has grown over time. The analysis also shows that there are four AS-ID Border that are dominant in the number of C2P Border-Provider in the last ten years, namely: AS7713 (ID), AS4761 (ID), AS17451 (ID), and AS23947 (ID). Meanwhile, for AS Provider, United States (US) and Singapore (SG) are the two countries that have AS Provider with the highest number of C2P Border-Provider at the national borders of Indonesia's Internet topology in the last ten years.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114089854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Unstructured Road Detection and Steering Assist Based on HSV Color Space Segmentation for Autonomous Car 基于HSV色彩空间分割的自动驾驶汽车非结构化道路检测与转向辅助

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315452

A.A. Mahersatillah, Z. Zainuddin, Y. Yusran

{"title":"Unstructured Road Detection and Steering Assist Based on HSV Color Space Segmentation for Autonomous Car","authors":"A.A. Mahersatillah, Z. Zainuddin, Y. Yusran","doi":"10.1109/ISRITI51436.2020.9315452","DOIUrl":"https://doi.org/10.1109/ISRITI51436.2020.9315452","url":null,"abstract":"One of the important things in a self-driving car (SDC), also known as an autonomous vehicle (AV) is detecting the road so that it remains in the right lane. Therefore this paper aims to be able to detect roads, especially unstructured roads based on the results of the HSV color space segmentation on the road, then produce car position information from the center of the lane (center offset) which is a parameter in making the decision to move the car's steering wheel to return to the center of the lane. In marking the edge of the roadside, the method used is Hough transform based on the resulting edge line using an edge detector, then the coordinates of the left and right curb lines which represent the width of the road. The results of this paper indicate that the system's ability to distinguish between road and non-road areas in several sections with an average percentage of 99.59% for accuracy, 99.49% for precision, and 98.84% for recall and the system's ability to mark the left and right edge of the roadside is very good with an average percentage reaches 99.27% and the percentage error and accuracy obtained in providing information on the position of the car from the center (center offset) based on the actual value and prediction results are 16.05% and 84.14%.","PeriodicalId":325920,"journal":{"name":"2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127527933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A Kubernetes Algorithm for scaling Virtual Objects 虚拟对象缩放的Kubernetes算法

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315393

Badr El Khalyly, A. Belangour

引用次数: 1

Disturbance Observer-Based Speed Estimator for Controlling Speed Sensorless Induction Motor 基于扰动观测器的无速度传感器异步电机速度估计控制

2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2020-12-10 DOI: 10.1109/ISRITI51436.2020.9315387

K. Indriawati, B. L. Widjiantoro, Nanang Rifa'i Rachman

引用次数: 3