2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT)最新文献

Hotel Review Sentiment Analysis Using Indonesian Language Based on Machine Learning 基于机器学习的印尼语酒店评论情感分析

2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT) Pub Date : 2022-11-22 DOI: 10.1109/ICEECIT55908.2022.10030546

Nurhafnita, Ramzi Adriman, Taufik Fuadi Abidin

{"title":"Hotel Review Sentiment Analysis Using Indonesian Language Based on Machine Learning","authors":"Nurhafnita, Ramzi Adriman, Taufik Fuadi Abidin","doi":"10.1109/ICEECIT55908.2022.10030546","DOIUrl":"https://doi.org/10.1109/ICEECIT55908.2022.10030546","url":null,"abstract":"It is crucial to optimize the Naive Bayes technique because its level of accuracy still has flaws. In order to achieve a higher level of accuracy, optimization employs the right and best techniques for text grouping, particularly for hotel review classification. In order to increase the precision of sentiment analysis, this study compares the use of a dataset with 6 features and a dataset with 18 features in order to determine the impact on the classification accuracy of Naive Bayes with Chi-square. This is demonstrated when the Naive Bayesian algorithm is applied to a dataset with 18 features, which results in accuracy values of f-measure = 0.83 and ROC = 0.922 as opposed to 6 features, which have f-measure = 0.746 and ROC = 0.839. The Chi Square feature selection technique has the effect of improving the Nave Bayes algorithm's classification accuracy of Indonesian hotel review texts. Based on the f-measure and ROC values, which are f-measure = 0.831 and ROC = 0.92 for a dataset with 18 features, the accuracy value will be high if the Naive Bayes algorithm is combined with Chi Square feature selection. According to the results of this study, the accuracy value can be increased in both the 6-feature dataset and the 18-feature dataset by using the Naive Bayes algorithm in conjunction with Chi Square.","PeriodicalId":360712,"journal":{"name":"2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115715675","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: 0

Analysis of 500 Ohm Neutral Grounding Resistance on a 60 MVA Power Transformer of One Phase to Ground Faults at Banyuwangi Substation Banyuwangi变电站60mva单相电力变压器500欧姆中性接地电阻对接地故障的分析

2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT) Pub Date : 2022-11-22 DOI: 10.1109/ICEECIT55908.2022.10030680

Suprihadi Prasetyono, R. B. Moch. Gozali, Rizky Nuzul Kurnianda

{"title":"Analysis of 500 Ohm Neutral Grounding Resistance on a 60 MVA Power Transformer of One Phase to Ground Faults at Banyuwangi Substation","authors":"Suprihadi Prasetyono, R. B. Moch. Gozali, Rizky Nuzul Kurnianda","doi":"10.1109/ICEECIT55908.2022.10030680","DOIUrl":"https://doi.org/10.1109/ICEECIT55908.2022.10030680","url":null,"abstract":"Substation has a vital function in the distribution of electrical energy and the regulation of the load of the feeders it supports. One of the protections for electrical equipment at substations is grounding. Grounding is a method used to reduce the effects caused by electric current when it is disturbed so that it does not harm electrical equipment. Therefore, substations must have a grounding safety standard referring to SPLN 26:1980. In this study, a calculation of one phase to ground fault was carried out and compared the fault current value with the Neutral Grounding Resistance (NGR) grounding system of 500 Ohms and without resistance (solid grounding). In addition, directional ground relay (DGR) coordination with ETAP 12.6.0 software is also carried out. The result of the calculations in this study is that the value of one phase to ground fault using a Neutral Grounding Resistance (NGR) of 500 Ohms is 23,092 Amperes. In the calculation results of one phase to ground fault using 500 Ohm Neutral Grounding Resistance (NGR) grounding on the Banyuwangi Substation 60 MVA Power Transformer, it was proven to meet the requirements of SPLN 26:1980","PeriodicalId":360712,"journal":{"name":"2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124878226","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: 0

Feature Selection Application to Classify Medicinal Plant Leaves using LVQ 特征选择在药用植物叶片LVQ分类中的应用

2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT) Pub Date : 2022-11-22 DOI: 10.1109/ICEECIT55908.2022.10030541

Arizal Mujibtamala Nanda Imron, Z. E. Fitri, Aji Wahyu Prasetyo, Abdul Madjid, L. N. Sahenda, Adinda Ayu Triasasti

{"title":"Feature Selection Application to Classify Medicinal Plant Leaves using LVQ","authors":"Arizal Mujibtamala Nanda Imron, Z. E. Fitri, Aji Wahyu Prasetyo, Abdul Madjid, L. N. Sahenda, Adinda Ayu Triasasti","doi":"10.1109/ICEECIT55908.2022.10030541","DOIUrl":"https://doi.org/10.1109/ICEECIT55908.2022.10030541","url":null,"abstract":"Indonesia is a country famous for cultivating medicinal plants, but the large number of medicinal plants is inversely proportional to the number of people who have the knowledge and can recognize the types of medicinal plants. To solve this problem, a computer vision system was developed that aims to identify medicinal plants based on the image of their leaves. Several stages used in this research are image preprocessing, image segmentation, feature extraction, feature selection and classification using the Learning Vector Quantization (LVQ) method. The optimal features used are texture features B (ASM 0°, Contrast 0°, Contrast 45° and Contrast 90°) and a combination of shape and texture features B (Diameter, ASM 0°, Contrast 0°, Contrast 45° and Contrast 90°). The optimal parameter used in the LVQ method is the learning rate (a) which is 0.1, the decrease in the learning rate (dec a) is 0.75. When using the texture B feature, the training accuracy is 95.52% and the testing accuracy is 95%. When using a combination of shape and texture B features, the training accuracy is 94.40% and the testing accuracy is 92.50%.","PeriodicalId":360712,"journal":{"name":"2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134331564","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: 0

Early Warning System Design for Flood Disasters Using the IoT-Based Fuzzy Logic Control Method 基于物联网模糊逻辑控制方法的洪水灾害预警系统设计

2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT) Pub Date : 2022-11-22 DOI: 10.1109/ICEECIT55908.2022.10030237

Gamma Aditya Rahardi, Wahyu Muldayani, Mochamad Diki Ari Wijaya, Dodi Setiabudi, Hasanur Mohammad Firdausi

{"title":"Early Warning System Design for Flood Disasters Using the IoT-Based Fuzzy Logic Control Method","authors":"Gamma Aditya Rahardi, Wahyu Muldayani, Mochamad Diki Ari Wijaya, Dodi Setiabudi, Hasanur Mohammad Firdausi","doi":"10.1109/ICEECIT55908.2022.10030237","DOIUrl":"https://doi.org/10.1109/ICEECIT55908.2022.10030237","url":null,"abstract":"Indonesia is one of the developing countries that are vulnerable due to various natural disasters, especially flooding is a form of natural phenomenon that occurs due to high rainfall intensity where there is excess water that is not accommodated by the water channel network in an area. Therefore, an early warning system is needed using the fuzzy logic control method as a decision maker to cope with disasters so that the anticipation of residents in dealing with disasters will increase. From the results of research conducted on the HCSR04 sensor for water level readings with an average percent error of ±0.50%, the Rain gauge sensor for rainfall readings with an average percent error of ±0.73%, and the Turbidity sensor with an average - Average percent error is ±12.2%. In testing this tool using parameters when the water level is 0–40 cm, the rainfall intensity is 0-100mm and the water turbidity reads 0–200 NTU it will display safe conditions. When the water level is 41–80 cm, the rainfall intensity is 101-300mm and the water turbidity reads 201–467 NTU, it will display an alert condition and give a warning with the siren on three times and also display a notification on the blynk application. And when the water level is 81–100 cm, the rainfall intensity is 301-500mm and the turbidity of the water reads 468–700 NTU, it will display a dangerous condition and give a warning with the siren on continuously and also display a notification on the blynk application.","PeriodicalId":360712,"journal":{"name":"2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT)","volume":"1 27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126006850","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: 0

Lane Departure Warning based on Road Marking Detection using Mask Region-based Convolutional Neural Networks 基于掩模区域卷积神经网络道路标记检测的车道偏离预警

2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT) Pub Date : 2022-11-22 DOI: 10.1109/ICEECIT55908.2022.10030730

Ilham Ramadani Arianto, E. M. Yuniarno, R. F. Rachmadi

{"title":"Lane Departure Warning based on Road Marking Detection using Mask Region-based Convolutional Neural Networks","authors":"Ilham Ramadani Arianto, E. M. Yuniarno, R. F. Rachmadi","doi":"10.1109/ICEECIT55908.2022.10030730","DOIUrl":"https://doi.org/10.1109/ICEECIT55908.2022.10030730","url":null,"abstract":"Lane departure warning system (LDW) is a system where when the condition of the car being driven on the road and maneuvering out of the lane without the driver realizing it, there is a visual or audible warning that will allow the driver to correct the maneuver. In implementing this system, tracking is needed on road lane line markings. One way to detect road markings is to use a camera that is placed on the windshield in the middle of the car with various methods. In previous research, the method used was using image filters, namely Hough Transform and Canny Edge. This method is quite effective on straight road conditions and sunny conditions without any obstacles. The weakness is when the road conditions start to turn quite sharply and also in low light conditions. In this study, the proposed method for tracking road markings is Mask Regional-based Convolutional Neural Networks (Mask R-CNN). This method is the latest development of the existing image segmentation method. The tracking process is with input from the video camera and then pre-processing is carried out to reduce distortion and calibrate the incoming frame. After that, the detection process uses a Mask R-CNN and the output will be line fitting to get the middle point and the right and left lines. After that the last process is Lane Departure Warning where the midpoint when approaching the line will give a warning to the driver.","PeriodicalId":360712,"journal":{"name":"2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128301921","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: 0

Optimization of Random Forest with Genetic Algorithm for Determination of Assessment 用遗传算法确定评价的随机森林优化

2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT) Pub Date : 2022-11-22 DOI: 10.1109/ICEECIT55908.2022.10030278

I. Wahyono, Khoirudin Asfani, M. M. Mohamad, Djoko Saryono, H. Putranto, Mohd Nihra Haruzuan

{"title":"Optimization of Random Forest with Genetic Algorithm for Determination of Assessment","authors":"I. Wahyono, Khoirudin Asfani, M. M. Mohamad, Djoko Saryono, H. Putranto, Mohd Nihra Haruzuan","doi":"10.1109/ICEECIT55908.2022.10030278","DOIUrl":"https://doi.org/10.1109/ICEECIT55908.2022.10030278","url":null,"abstract":"The Government of the Republic of Indonesia has issued a self-study regulation in which there are many parameters to determine the graduation status of MBMK participating students. Choosing the graduation of MBKM learning is not only based on rules from managers, universities, faculties, departments, or students. The most fundamental problem is that there are no standard rules regarding graduation status and graduation parameters in MBKM learning. Based on these problems, this study applies the random forest method optimized with genetic algorithms to classify students' graduation status accurately and quickly. After testing, the average accuracy with the random forest method optimized by the genetic algorithm is 88.58%, the average precision is 77.34%, the recall average is 57.68%, and the f1-score is 66.54%, with the parameter size population of 21, 3 iterations, crossover rate value 0.8, mutation rate value 0.4, and several features 4. The evaluation results of accuracy, precision, recall, and f1-score obtained in this study show that the genetic algorithm can find optimal parameters. The random forest result in higher accuracy, precision, recall, and f1 scores","PeriodicalId":360712,"journal":{"name":"2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128356955","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: 0

Comparison of Classification Algorithm to Determine Potential Fishing Area Based on Coral Reefs 基于珊瑚礁的潜在捕捞区分类算法比较

2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT) Pub Date : 2022-11-22 DOI: 10.1109/ICEECIT55908.2022.10030382

Burhanudin Kholis, I. Ranggadara, Y. Sari, Suhendra, Ifan Prihandi, Wawan Gunawan

{"title":"Comparison of Classification Algorithm to Determine Potential Fishing Area Based on Coral Reefs","authors":"Burhanudin Kholis, I. Ranggadara, Y. Sari, Suhendra, Ifan Prihandi, Wawan Gunawan","doi":"10.1109/ICEECIT55908.2022.10030382","DOIUrl":"https://doi.org/10.1109/ICEECIT55908.2022.10030382","url":null,"abstract":"Morotai Island has a high potential for tuna, but until now, its utilization still needs to be considered optimal. Many factors cause this condition, in addition to the limited fishing facilities and infrastructure, the lack of proper fishing management, the lack of human resources, and the difficulty of detecting potential fishing locations, especially in certain seasons. This research aims to classify potential fishing locations on Morotai Island. The method used remote sensing using sentinel two and, in this research, used two algorithms as a comparison: linear discriminant analysis and random forest. The results of this study obtained that the LDA index value has a range of about 0.25 - 0.65, which means that the detection is not going well because this value means that the vegetation has a low chlorophyll content. While the random forest has a value range of 0.57 - 0.90, which means the chlorophyll detected on coral reefs has high chlorophyll, and it was obtained that the forest classification random obtained an accuracy of 95% and an LDA of 69%. This comparison shows that a random forest is better for testing the data classification.","PeriodicalId":360712,"journal":{"name":"2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125508983","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: 0

Fuzzy Logic Control of SEPIC Converter System for 36 W Vertical Wind Turbine Performance Improvement 用于36w立式风力机性能改进的SEPIC变流器系统模糊控制

2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT) Pub Date : 2022-11-22 DOI: 10.1109/ICEECIT55908.2022.10030234

T. Hardianto, Joseph Cahya Putra, Mohamad Agung Prawira Negara, Bambang Sujanarko

引用次数: 0

Implementation of a 3D Indoor Positioning System Using MLP-based Distance Estimation for IoT Applications 物联网应用中基于mlp距离估计的3D室内定位系统的实现

2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT) Pub Date : 2022-11-22 DOI: 10.1109/ICEECIT55908.2022.10030667

B. Bengherbia, Mohamed el amine Bougheriza, M. Bouhedda, Abdelhafid Tobbal, A. Toubal, Hamza Hentabeli

引用次数: 0

Prototype of Building Monitoring System Using Vibration Sensor Based on Wireless Sensor Network 基于无线传感器网络的振动传感器楼宇监控系统原型

2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT) Pub Date : 2022-11-22 DOI: 10.1109/ICEECIT55908.2022.10030309

Dedy Wahyu Herdiyanto, Gamma Aditya Rahardi, Erika Fiqrilinia, Ali Rizal Chaidir, Dodi Setiabudi, Arizal Mujibtamala Nanda Imron

{"title":"Prototype of Building Monitoring System Using Vibration Sensor Based on Wireless Sensor Network","authors":"Dedy Wahyu Herdiyanto, Gamma Aditya Rahardi, Erika Fiqrilinia, Ali Rizal Chaidir, Dodi Setiabudi, Arizal Mujibtamala Nanda Imron","doi":"10.1109/ICEECIT55908.2022.10030309","DOIUrl":"https://doi.org/10.1109/ICEECIT55908.2022.10030309","url":null,"abstract":"The building is a critical civil infrastructure for human life, so it needs maintenance. One way of maintenance is to monitor the condition of the building regularly so that it can minimize early damage and use can last as planned at the beginning of manufacture. The monitoring process can be done manually, but it is less efficient considering the increasingly advanced technological developments. Wireless sensor network technology can be used to monitor this because it does not require a wire loop, and data transmission is carried out wirelessly where sensors have been placed in several locations. Therefore, a prototype was tested using a vibration sensor (SW-420) which detects vibrations. The protocol used is the ZigBee protocol (802.15.4) with a mesh topology. The results of the tests that have been carried out are that distance dramatically affects. The RSSI parameter is influenced by the distance, namely, the farther the distance between the transmitter and receiver, the smaller the RSSI value, which means the signal is of poor quality, and vice versa. This result is evidenced at a distance of 4 m RSSI average of -75.7 dBm and a distance of 16 m RSSI average of -81.7 dBm.","PeriodicalId":360712,"journal":{"name":"2022 International Conference on Electrical Engineering, Computer and Information Technology (ICEECIT)","volume":"35 48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124263893","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: 0