2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)最新文献_第4页

Improved Learning Outcomes of Descriptive Statistics Through the Test Room and Data Processing Features in the Mobile Learning Model 通过移动学习模型中的试验室和数据处理功能改善描述性统计的学习效果

2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE) Pub Date : 2020-10-20 DOI: 10.1109/ICIEE49813.2020.9277408

Susana Limanto, F. Kartikasari, Merlin Oeitheurisa

{"title":"Improved Learning Outcomes of Descriptive Statistics Through the Test Room and Data Processing Features in the Mobile Learning Model","authors":"Susana Limanto, F. Kartikasari, Merlin Oeitheurisa","doi":"10.1109/ICIEE49813.2020.9277408","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9277408","url":null,"abstract":"Descriptive statistics plays an important role in processing and presenting data. Therefore descriptive statistics is one of the topics that must be mastered by all students, including Informatics Engineering students. Unfortunately, the high mathematical content in this topic is often considered as a threat to students. It makes them get bored and distracted their attention to other things, mostly to their smartphones. This study conducted to develop a mobile-based descriptive statistical learning media that facilitate student work feedback. The feedback was given through the Test Room and Data Processing Features. The media was developed using the prototyping method. The analysis is done by conducting interviews, distributing questionnaires, and trying similar applications. Verification is done using the blackbox testing method, which provides input and sees the output. Validation is done by analyzing the results of examinations from two groups of students, the treated group and the control group. The validation results show that the learning outcome from the treated group was improved. The percentage of students who experienced an increase in exam scores from the treated group was 144% greater than the control group.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117187499","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

Random Forest Regression for Predicting Metamaterial Antenna Parameters 随机森林回归预测超材料天线参数

2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE) Pub Date : 2020-10-20 DOI: 10.1109/ICIEE49813.2020.9276899

Nazmia Kurniawati, Dianing Novita Nurmala Putri, Yuli Kurnia Ningsih

引用次数: 9

Implementation Multipath Routing With Equal Cost Multipath (ECMP) and Per Connection Classifier (PCC) 等价多路径(ECMP)和每连接分类器(PCC)多路径路由的实现

2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE) Pub Date : 2020-10-20 DOI: 10.1109/ICIEE49813.2020.9277496

R. Fahrizal, M. I. Santoso, Muhammad Zainul Arifin

引用次数: 1

Control of DC Motor Using Proportional Integral Derivative (PID): Arduino Hardware Implementation 用比例积分导数(PID)控制直流电动机:Arduino硬件实现

2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE) Pub Date : 2020-10-20 DOI: 10.1109/ICIEE49813.2020.9277258

A. Ma’arif, Nia Maharani, Phisca Aditya, Rosyady, Ahmad Raditya, Cahya Baswara, Aninditya Anggari Nuryono

引用次数: 11

Performance Comparison of GPRS and LTE Telecommunication Network using OpenAirInterface and OpenBTS with USRP 基于OpenAirInterface和OpenBTS的GPRS和LTE通信网络性能比较

2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE) Pub Date : 2020-10-20 DOI: 10.1109/ICIEE49813.2020.9277396

Yeremia Nikanor Nugroho, Riri Fitri Sari, R. Harwahyu

{"title":"Performance Comparison of GPRS and LTE Telecommunication Network using OpenAirInterface and OpenBTS with USRP","authors":"Yeremia Nikanor Nugroho, Riri Fitri Sari, R. Harwahyu","doi":"10.1109/ICIEE49813.2020.9277396","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9277396","url":null,"abstract":"OpenBTS and OpenAirInterface (OAI) are alternatives to building cellular networks on a portable basis using a computer. They can be useful for providing telecommunication access in emergency situations. GPRS and LTE cellular networks can be formed using OpenBTS and OAI with the help of software defined radio (SDR), such as USRP B210. Providing both GPRS and LTE in emergency situation may better serve the telecommunication requirements. This work focuses on comparative performance evaluations of GPRS and LTE. Our evaluation includes throughput, delay, jitter, and percentage of packet loss. OpenBTS yields throughput, delay, jitter and packet loss of 62.34 KBps, 1.03s, 433.47 ms, and 5.20%, respectively. On the other hand, OAI yields 2.17 MBps, 54.44 ms, 12.48 ms, and 3.12%, respectively. The use of OpenBTS do not support current services such as video access and search. The percentage results of LTE quality for browsing were 69.96% and streaming was 83.80%. LTE optimizes the QoS compared to former use of GPRS up to 34.92 times better for throughput, 19.04 times for smaller delays, 34.73 times for smaller jitters, and 1.66 times for lower packet loss.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132977211","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

Nutrient Film Technique for Automatic Hydroponic System Based on Arduino 基于Arduino的自动水培系统营养膜技术

2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE) Pub Date : 2020-10-20 DOI: 10.1109/ICIEE49813.2020.9276920

Iswanto, Prisma Megantoro, A. Ma’arif

引用次数: 6

Automatic Cataract Classification System Using Neural Network Algorithm Backpropagation 基于神经网络反向传播算法的白内障自动分类系统

2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE) Pub Date : 2020-10-20 DOI: 10.1109/ICIEE49813.2020.9277441

Ri Munarto, Mochtar Ali Setyo Yudono, Endi Permata

{"title":"Automatic Cataract Classification System Using Neural Network Algorithm Backpropagation","authors":"Ri Munarto, Mochtar Ali Setyo Yudono, Endi Permata","doi":"10.1109/ICIEE49813.2020.9277441","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9277441","url":null,"abstract":"Based on data from the World Health Organization in 2001 Indonesia is one of countries with the highest blindness rates in the world with the addition of new sufferers reaching 210,000 people per year. Of the 250 million population, there are only 1160 opthalmologist with uneven distribution. Cataract is one of disease such as macula degeneration, diabetes retinopatty. In this paper, classification of cataracts is divided into 4 normal retina, mild cataract, medium and severe. the classifier-making procedure includes four parts: pre-processing, segmentation, feature extraction, and classification. pre-processing using HSV to search for the highest level of light intensity, GLCM is used on feature extraction to obtain features that will be used to classify using Network Backpropagation that has great potential to improve the diagnostic efficiency diagnostic accuracy. In this research use image processing in detecting cataract characteristic in fundus image based on opacity level of optic disc. The data used were 60 retinal fundus images consisting of 15 normal retinal images, 15 light cataract images, 15 medium cataract images and 15 severe cataract images. The result of simulation test using MATLAB R2014a software obtained the normal retinal grade accuracy value of 95.71% with 95.7% sensitivity and 96.15% specificity, mild cataract 69.97% with sensitivity 69.97% and specificity 89.47%. Accuracy of medium cataract class is 75.69% with sensitivity 75.69% and specificity 92.75%. The accuracy of severe cataract class is 87.13% with sensitivity 87.13% and specificity 98.56%. The average accuracy value of the cataract classification system was 82.14%.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":"223 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128488429","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

Detection of Hypoxic Symptoms System Based on Oxygen Saturation and Heart Rate Using Arduino Based Fuzzy Method 基于氧饱和度和心率的缺氧症状检测系统的Arduino模糊方法

2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE) Pub Date : 2020-10-20 DOI: 10.1109/ICIEE49813.2020.9276818

Iswanto, Prisma Megantoro

{"title":"Detection of Hypoxic Symptoms System Based on Oxygen Saturation and Heart Rate Using Arduino Based Fuzzy Method","authors":"Iswanto, Prisma Megantoro","doi":"10.1109/ICIEE49813.2020.9276818","DOIUrl":"https://doi.org/10.1109/ICIEE49813.2020.9276818","url":null,"abstract":"In the medical field, a device is needed to monitor the patient’s condition in a noninvasive manner that is, without injuring the patient. If ignored continues to lead to hypoxia can disrupt the function of the brain, liver, and other organs quickly. So that in this study a hypoxia early symptom detection tool that uses a noninvasive method by using a Max30100 sensor that is pinned to the fingertips can affect the results of the initial symptoms of hypoxia. To detect the initial symptoms of hypoxia in this tool the Sugeno fuzzy method is used so that the output is obtained according to the existing rules. The Sugeno fuzzy method will process data taken from the Max30100 sensor. 3 devices are in this device, the Arduino as the controller, the Max30100 sensor to get the input and Bluetooth for sending data to the smartphone. The software uses an APP inventor to program the Android application to display data. In this study, the test results obtained error in 2.96% for oxygen saturation and 2.86% for heart rate obtained. From the fuzzy method in 12 trials, the data obtained 100% accuracy and the Sugeno fuzzy method can process the input data.","PeriodicalId":127106,"journal":{"name":"2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE)","volume":"283 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115601419","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: 6

Design of Multistage Fast Charging Strategy on Lead-Acid Batteries 铅酸蓄电池多级快速充电策略设计

2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE) Pub Date : 2020-10-20 DOI: 10.1109/ICIEE49813.2020.9277492

K. Mangunkusumo, M. Ridwan, P. Pramana, A. Habibie

引用次数: 0

ICIEE 2020 Index ICIEE 2020指数

2020 2nd International Conference on Industrial Electrical and Electronics (ICIEE) Pub Date : 2020-10-20 DOI: 10.1109/iciee49813.2020.9276835

引用次数: 0