2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)最新文献

{"title":"Classification Of Covid Patients Based On Detection Of Lung X-Rays Using Local Binary Pattern Method","authors":"Dhian Satria Yudha Kartika, Anita Wulansari, E. M. Safitri, Hendra Maulana, N. C. Wibowo","doi":"10.1109/ISRITI54043.2021.9702828","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702828","url":null,"abstract":"High number of deaths due to Covid-19 outbreak affect people in various ways including their economic and psychological side. Previous studies were carried out in analyzing various symptoms in COVID-19 patients. Patients in severe conditions are usually found with a white spot in their lungs. Therefore chest x-ray is one of the necessary medical assessment to examine the patients. This study focus on determining whether a patient suffered from COVID-19 by analyzing their chest X-rays photos. A total of 864 X-rays photos were used as a dataset. Earlier steps in processing the dataset included removing the noise, equalizing the size and increasing the accuracy value. The Local Binary Pattern (LBP) method was used to extract the dataset feature. The performance analysis result was a precision value of 78.5%, recall of 78%, and f-measure of 79%.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115957050","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}

{"title":"Implementation of the Bresenham's Algorithm on a Four-Legged Robot to Create a KRPAI Arena Map","authors":"Adytia Darmawan, Andre Faqih Ilham Suparman, A. H. Alasiry, E. Binugroho, Zikri Nasution, G. A. Prasetyo","doi":"10.1109/ISRITI54043.2021.9702849","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702849","url":null,"abstract":"Kontes Robot Pemadam Api Indonesia (KRPAI) is a division of the Robot Competition in Indonesia whose mission is to extinguish fires according to the rules of the Trinity College International Fire Fighting Robot Contest (TCIFFRC) in Hartford, United States. The robot is placed in one of the 4 rooms randomly and is required to find a fire then extinguish it and return to the room where the robot is placed. The ability of robots to be able to carry out missions perfectly often fails because of the disturbance of obstacles in the room, do not know the pose of the robot when outside the room. A map is very important so that the robot knows its position in space and the distance of the robot from obstacles. Therefore, the focus of this research is not only on simulations but also on direct map-making to dynamically moving four-legged robots. The odometry method on the four-legged robot is used for routing and localization algorithms in making maps. Bresenham's algorithm is implemented in the map creation process. The results of the test and analysis show that a 1 mm grid map to a 5 mm grid map can describe parabolic-shaped obstacles, and the average error cell value for corridors, door widths, and walls is 0.92 cells.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123293216","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}

{"title":"Operating Switched Reluctance Motor in Proper Excitation Angles","authors":"S. Riyadi","doi":"10.1109/ISRITI54043.2021.9702848","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702848","url":null,"abstract":"Switched reluctance motor (SRM) has been an alternative solution for electric drives due to its advantages. Applications in hybrid and electric vehicles need high torque with low ripple. Operation in motoring mode requires phase current flows during positive slope of phase inductance, this can be implemented by current control or single pulse control. In certain range of its speed, single pulse control is more suitable. By selecting the proper excitation angles, higher torque can be produced. In this paper, excitation with different turn-on angles for single pulse control is analyzed. This is addressed to obtain higher torque. To verify the analysis, experimental works were done. To generate any excitation angles, digital signal controller was implemented as the core of the control strategy. By shifting the turn-on angle just before the point where the phase inductance starts to rise, higher torque can be produced. For 8/6 SRM, turn-on angle 28° can be selected.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127189077","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}

{"title":"Developing NEO Smart Contract for Weather-Based Insurance","authors":"Mukuan Junior Salem, Fajar Henri Eranmus Ndolu, Diar Eka Risqi Hidayatullah, R. F. Sari","doi":"10.1109/ISRITI54043.2021.9702853","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702853","url":null,"abstract":"Weather-based insurance has been developed across emerging economies in many countries. In several Southeast Asia (SEA) countries, weather-based insurance has been released to protect fishermen from the natural events or extreme weather. The value of insurance coverage is obtained from an expensive and lengthy process, especially when facing an extreme weather condition such as sea storm. This adds a heavy toll on fisherman's shoulders when facing the natural conditions. To solve these problems, which is to reduce evaluation costs, blockchain-based smart contracts are used ensure easier asymmetric information. We proposed a blockchain-based smart contract framework that applies to weather-based index insurance. We chose Docker Container and Neo blockchain platform for our experiment due to its easy access tokens from neo-python with a private network. In this experiment we developed a smart contract implementation on Neo. We defined 6 (six) functions that can be triggered if certain conditions are met from an external data application program interface (API). In our experiment of blockchain implementation using Neo, we found that Neo is scalable and trusted and as well having a low memory consumption that could be running in a low specification machine. The deployment of a blockchain based system is feasible to be conducted using Neo platform.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114786878","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}

{"title":"Fast-Recovery and Optimization Multipath Circuit Networks Environments Using Routing Policies Different Administrative Distance and Internal BGP","authors":"H. Damanik","doi":"10.1109/ISRITI54043.2021.9702768","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702768","url":null,"abstract":"Heterogeneity of Service Provider network connectivity on increasingly complex transmission networks and multilink transmission networks, so a link recovery system is needed that can minimize link and circuit link failures. Management of large distributed link connectivity and transmission line infrastructure with various business services that require link recovery systems when primary links fail or interrupt their paths. Increased internet and network coverage in terms of speed and cost efficiency of services to end-to-end latency, for customer service quality of service. The research objective was to implement and model Flexible Failover Using Routing Policies Different Levels of the BGP Hierarchy, for a Multipath environment for failure recovery processes with routing between BGP Autonomous System Internal and Policies Terms. Fast link failure and recovery mechanism in dealing with link failures and link congestion in service provider backhaul networks, at layer 3 and layer 2 by implementing BGP peering sessions with Routing Policies Different Levels of the BGP Hierarchy. The results obtained from the modeling that will be carried out in a multipath link environment, show and periodically generate the intervals obtained in the graph and test with the MRTG monitoring tool, have a direct average correlation with link failures. Failed link or node on primary link fails, secondary link is active and ready to perform recovery, then on tertiary link by selecting round-robin method to perform recovery. The process of removing the recovery link from the obtained results is 0-5.0-10 m/s.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116757857","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}

{"title":"Integration CLAHE and Seeded Region Growing for Segmentation of Rubber Tree in HSI Color Space","authors":"Wanvy Arifha Saputra, Rahimi Fitri, A. S. B. Nugroho, Siti Kustini","doi":"10.1109/ISRITI54043.2021.9702812","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702812","url":null,"abstract":"Rubber tree growth is excellent when in the tropics. Rubber trees that mature can be processed to extract the sap. The image segmentation process can be carried out first as the initial process of the maturity level classification. An accurate segmentation method and fast processing time are needed to support that process. We propose integrating CLAHE and Seeded Region Growing to segment rubber trees in HSI color space. This method uses a hue image as input, then enhancement of the sharpness image uses CLAHE. From this process, a seeded region growing segmentation method is used to separate the rubber tree object from the background. The result in this method shows that the average RAE is 31.02%, ME 21.61%, MHD 15.04%, and the processing time is 5.18 seconds. Based on these results, this can prove that the method is good enough to be applied on rubber tree images taken directly from a forest where the image has complexity texture, risk of multi-object, and complexity color.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121857907","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}

{"title":"Classification of Lung Opacity, COVID-19, and Pneumonia from Chest Radiography Images Based on Convolutional Neural Networks","authors":"F. W. Wibowo, Wihayati","doi":"10.1109/ISRITI54043.2021.9702841","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702841","url":null,"abstract":"Detection of normal and abnormal lung images from the human chest through media scans in the form of computed tomography (CT) scans or radiographs has received attention for early diagnosis of patients. However, even in the study, the diagnosis obtained better accuracy from CT scan results to detect lungs infected with coronavirus disease 2019 (COVID-19) than a swab test with the polymerase chain reaction (PCR) method. This paper aims to detect and classify normal lungs, lung opacities, lungs infected with COVID-19, and viral pneumonia (in this paper is more commonly written as pneumonia) from human chest radiography images. This paper uses 5000 image data consisting of 2461 typical lung images, 1347 lung opacity images, 295 pneumonia images, and 897 COVID-19 images. The method used to detect and classify the labeled images uses the convolutional neural networks (CNN) method. Several image detection and classification studies often implement this method. Comparing the image data for training and testing data uses a ratio of 80 and 20, respectively. Accuracy results for data training got 99.825%, while data testing got 82.6%.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130829897","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}

{"title":"Non-Hermitian Symmetry(NHS)-OFDM Application in MIMO-NOMA-VLC System Serving 6 Users","authors":"Assaidah, O. C. Satya, Hadi Purna Satria, Yulinar Adnan, Khairul Saleh, C. Chow","doi":"10.1109/ISRITI54043.2021.9702884","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702884","url":null,"abstract":"We discussed the BER performances versus SNR variation for every level of interference of LED neighbours in MIMO VLC network serving 6 user equipments (UEs). The MIMO configuration is 2x3 and 3x2, based on NHS-OFDM and NOMA schemes. The required power ratio for a successful NOMA of MIMO-2x3 is 1:2:4 while MIMO-3x2 configuration needs 1:2 of power ratio. To obtain BER below FEC limit, the minimum SNR should be above 20 dB for each MIMO configuration with the maximum interference level allowed is 3% for MIMO-3x2 and 1 % for MIMO-2x3. In case where the SNR is 30 dB, the maximum interference level allowed are 13% and 10% for MIMO-3x2 and MIMO-2x3, respectively, to maintain the BER below FEC limit.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126806152","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}

{"title":"Online Retail Pattern Quality Improvement: From Frequent Sequential Pattern to High-Utility Sequential Pattern","authors":"Ridowati Gunawan","doi":"10.1109/ISRITI54043.2021.9702782","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702782","url":null,"abstract":"There has been a change in people's shopping behavior, especially during the Covid-19 pandemic, from what traditionally requires direct face-to-face meetings between sellers and buyers, to virtual face-to-face through various shopping media. All activities carried out by customers, click streams performed, items purchased, the number of items including the price will be recorded in a log. Activity records in the log are very useful to be able to find out the pattern of activity sequences from customers, especially the order of items purchased by customers. However, the management certainly needs more knowledge, not just the order of goods that are often purchased by customers. Does the order of items purchased also provide maximum profit? There have been many methods to get frequent sequential patterns from customer activities, but getting a pattern that chooses more quality by adding utility value needs to be considered. In this research, the method used to obtain frequent sequential patterns is using PrefixSpan (Prefix-projected Sequential PAtterN) and the method used to obtain a high-utility sequential pattern is the USpan (Utility Sequential PAtterN) method. USpan is applied to the BMS (Blue Martini DataSet) dataset, which is the dataset used in KDD (Knowledge Discovery in Databases) CUP 2000 which consists of clickstream data from an e-commerce. The experimental results show that the frequent sequential pattern will always appear in the high-utility sequential pattern but not vice versa. It is certain that a high-utility pattern must be sequential, but a sequential pattern is not necessarily a high-utility sequential. From the results of the high-utility sequential pattern, it can be used as input to provide recommendations to customers to carry out the shopping process on items that can provide greater profits. The conclusion of the research conducted is that the high-utility sequential pattern mining can produce a higher quality pattern than just getting a frequent sequential pattern.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114362015","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}

{"title":"Cheat Detection on Online Chess Games using Convolutional and Dense Neural Network","authors":"Reyhan Patria, Sean Favian, Anggoro Caturdewa, Derwin Suhartono","doi":"10.1109/ISRITI54043.2021.9702792","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702792","url":null,"abstract":"With the widespread use of chess engines cheating in chess has become easier than ever, especially in online chess. Cheating obviously brings a negative impact to the sport. However, research on the topic on cheat detection in chess is still scarcely found. Thus, this paper will discuss data and algorithms that can be used to develop cheat detection tools to analyze games. For data, there are analyzed data and unanalyzed data from online chess games whereas for the algorithm that will be explored there are convolutional neural network (CNN) and densely connected neural network. The results from the experiment using the CNN algorithm are better than the densely connected neural network for detecting if the player is cheating or not. Meanwhile for the data, using either unanalyzed and analyzed data doesn't change the best performing neural network, but it was found using the analyzed data still boosts the accuracy of both neural networks.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126509442","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}