2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)最新文献_第3页

Mobile-based Network Monitoring System Using Zabbix and Telegram 基于Zabbix和Telegram的移动网络监控系统

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274582

Anggi Mardiyono, W. Sholihah, F. Hakim

引用次数: 7

Brain-Computer Interface of Motor Imagery Using ICA and Recurrent Neural Networks 基于ICA和递归神经网络的运动图像脑机接口

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274681

Anita Safitri, E. C. Djamal, Fikri Nugraha

引用次数: 2

Feature Importance Ranking for Increasing Performance of Intrusion Detection System 特征重要性排序提高入侵检测系统性能

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274570

Achmad Akbar Megantara, T. Ahmad

引用次数: 6

Implementation and Analysis of Keyboard Injection Attack using USB Devices in Windows Operating System 基于USB设备的Windows操作系统键盘注入攻击的实现与分析

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274631

Annisa Dwiayu Ramadhanty, Avon Budiono, A. Almaarif

引用次数: 3

Automatic Multi-class Classification of Indonesian Traditional Food using Convolutional Neural Networks 基于卷积神经网络的印尼传统食品自动多类分类

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274636

Devvi Sarwinda, Terry Argyadiva, Saragih Leonardo B. S., Mahesa Oktareza, P. Handi Bagus, Feraldi Fauzan, Billy Erickson

{"title":"Automatic Multi-class Classification of Indonesian Traditional Food using Convolutional Neural Networks","authors":"Devvi Sarwinda, Terry Argyadiva, Saragih Leonardo B. S., Mahesa Oktareza, P. Handi Bagus, Feraldi Fauzan, Billy Erickson","doi":"10.1109/IC2IE50715.2020.9274636","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274636","url":null,"abstract":"The culinary industry in Indonesia is growing fast in this era of globalization. With the increasing trend in fast food and other foreign culinary, Indonesia is threatening its local culinary existential. A lack of database about local culinary causing a lack of information in its people. Therefore, there is a need for a system model that can identify a local culinary. Hence, it can provide easy access to information to Indonesian and provide a database. This database can also help the government to promote Indonesian food and a chance to keep their existence. This research proposes to make a model that can identify Indonesian food with deep learning techniques. Convolutional Neural Network is chosen as a deep learning technique to recognize ten types of Indonesian food, namely kue rangi, kue putu, bika ambon, ayam taliwang, putu mayang, kerak telor, kue ape, papeda, gudeg, and sate bandeng. We used ResNet50 architecture to classify multi-class labeling. Datasets will consist of 200 images and will be duplicated into three models of separating datasets. In the first model, the dataset has a composition of 75% training dataset and a 25% testing dataset. Similarly, the second model, the dataset has 80:20 of composition, and the third model has 85:15 of composition for training and testing dataset. The experimental results show the third model has the best accuracy of 100%, with 30/30 images predicted correctly.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127679353","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

Face Recognition Based on Phase Only Correlation (POC) 基于相位相关的人脸识别

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274633

E. S. Wahyuni, Faiz Khairul Isbat, Anggara Jatu Kusumawati

{"title":"Face Recognition Based on Phase Only Correlation (POC)","authors":"E. S. Wahyuni, Faiz Khairul Isbat, Anggara Jatu Kusumawati","doi":"10.1109/IC2IE50715.2020.9274633","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274633","url":null,"abstract":"Face recognition is a technology that is widely used in the field of security and biometrics. Every human face has unique features such as the shape of the jaw and the contours of the face. In this study, face detection was carried out using the Phase Only Correlation (POC) method. POC is a face detection method based on the highest correlation value from the calculation of the phase and magnitude of an image. The data used in this study is in the form of facial images in RGB format. Stages of the study were divided into two, namely preprocessing and processing. The pre-processing stage includes the Region of Interest (ROI), image segmentation, grayscale transformation, and Discrete Fourier Transform (DFT). The processing phase includes Cross Spectrum, Inverse Cross Spectrum values, and correlation calculation. There are three testing schemes carried out in this study, namely testing of variations in lighting levels, expressions, and facial positions. From the results of the study, different face positions produce incorrect detection results because changes in the position of the image being tested make changes in the frequency distribution of the phase and magnitude values.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121079609","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

Geofencing Technology in Monitoring of Geriatric Patients Suffering from Dementia and Alzheimer 地理围栏技术在老年痴呆和阿尔茨海默病患者监测中的应用

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274637

Ernes Randika Pratama, F. Renaldi, Fajri Rachmat Umbara, E. C. Djamal

{"title":"Geofencing Technology in Monitoring of Geriatric Patients Suffering from Dementia and Alzheimer","authors":"Ernes Randika Pratama, F. Renaldi, Fajri Rachmat Umbara, E. C. Djamal","doi":"10.1109/IC2IE50715.2020.9274637","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274637","url":null,"abstract":"In this day and age, many technologies are used to easily track the whereabouts of others, as in this study, Geofencing technology is used to track or monitor the existence of geriatric patients. This is done because geriatric patients who have dementia and Alzheimer’s have impaired brain memory that can potentially get lost somewhere and cannot go home. Therefore, with the Geofencing technology, the movement of patients can be virtually restricted without disturbing real activities by creating boundaries in the patient’s area. By utilizing GPS technology, the signal of a patient’s cellular device can be tracked or monitored. If one day, the patient crosses the Geofencing area, the supervisor will receive a notification from the system and handle the patient so as not to get lost or lost. The patient’s movements can be monitored by the system simply by utilizing the GPS that is on the patient’s device to stay on, and unnoticed by the patient. By utilizing Geofencing technology to monitor patients who are in the room, you can minimize things that can make patients get lost or lost. To fulfill all of that, several things must be done, such as Geofencing area analysis, performing calculations with formula Haversine, and making messages or notifications that are stored on the FCM server. From all of that will produce a system that can supervise patients and get the closest distance between patients and caregiver, as in the results of calculations between patients and caregiver that produce a distance of Ill meters. This system will also receive notifications automatically with the patient out of the Geofencing area. So it can be concluded that by getting the closest distance between the patient and the caregiver, it can speed up the caregiver in handling the patient beyond the Geofencing area boundary and increasing patient safety.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116890396","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: 11

E-Service and Logistics Service Quality in E-Commerce, Study Case: Shopee Indonesia 电子商务中的电子服务和物流服务质量，研究案例:Shopee Indonesia

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274597

Dezenia Zain Rachmawati, A. Agus

{"title":"E-Service and Logistics Service Quality in E-Commerce, Study Case: Shopee Indonesia","authors":"Dezenia Zain Rachmawati, A. Agus","doi":"10.1109/IC2IE50715.2020.9274597","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274597","url":null,"abstract":"E-commerce in Indonesia is growing fast. Nowadays, people tend to purchase things through e-commerce. However, the players within the e-commerce business not only e-commerce platform itself, but there are also logistics providers and customers. Both e-commerce and logistics services have service quality that plays an important role for the customer. This study uses descriptive research to analyses the impact of e-commerce service quality and logistics service quality on customer satisfaction and customer loyalty. This research used purposive sampling form Shopee Indonesia, as top 2 market leader in Indonesia Market. Data collected through online questionnaires with total respondents consisted of 546 Shopee users. Data is processed with Structural Equation Modelling method and for data analysis using LISREL software version 8.8. The results conclude that the e-service quality and logistics services quality both has a direct and positive impact on customer satisfaction and customer loyalty. This study helps e-commerce and logistics services to understand their customer so they can improve their service quality to keep existing customer and attract the new customer.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124344480","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: 2

A Compiler-based Approach for Natural Language to Code Conversion 基于编译器的自然语言到代码转换方法

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274674

S. Sridhar, Sowmya Sanagavarapu

{"title":"A Compiler-based Approach for Natural Language to Code Conversion","authors":"S. Sridhar, Sowmya Sanagavarapu","doi":"10.1109/IC2IE50715.2020.9274674","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274674","url":null,"abstract":"There is a gap observed between the natural language (NL) of speech and writing a program to generate code. Programmers should know the syntax of the programming language in order to code. The aim of the proposed model is to do away with the syntactic structure of a programming language and the user can specify the instructions in human interactive form, using either text or speech. The designed solution is an application based on speech recognition and user interaction to make coding faster and efficient. Lexical, syntax and semantic analysis is performed on the user’s instructions and then the code is generated. C is used as the programming language in the proposed model. The code editor is a web page and the user instructions are sent to a Flask server for processing. Using Python libraries NLTK and ply libraries, conversion of human language data to programmable C codes is done and the code is returned to the client. Lex is used for tokenization and the LALR parser of Yacc processes the syntax specifications to generate an output procedure. The results are recorded and analyzed for time taken to convert the NL commands to code and the efficiency of the implementation is measured with accuracy, precision and recall.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123496022","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: 4

The Barriers of IT Utilization: A Case Study of Indonesian Audit Organisation 信息技术应用的障碍:以印尼审计机构为例

2020 3rd International Conference on Computer and Informatics Engineering (IC2IE) Pub Date : 2020-09-15 DOI: 10.1109/IC2IE50715.2020.9274664

Aslon Damanik, P. W. Handayani, A. Pinem

{"title":"The Barriers of IT Utilization: A Case Study of Indonesian Audit Organisation","authors":"Aslon Damanik, P. W. Handayani, A. Pinem","doi":"10.1109/IC2IE50715.2020.9274664","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274664","url":null,"abstract":"The Indonesian government has sought to implement good governance by issuing a series of laws and regulations in governing the management of state finances. The State Audit Agency (BPK) has the responsibility to conduct finance audit of the government institution based on established auditing standards. One of the strategies that has become the focus of BPK in encouraging auditors to utilize IT services optimally in the audit process. However, based on the performance accountability report IT utilization only reach 80.84% with original target of 97.87%. Thus, this study aims to analyze the factors that become the obstacles in the use of IT in the audit process. The factor was categorized in four dimensions which are technological, organization, environment and human. The data was collected using questionnaire and 115 valid data were analyzed using entropy method to assess the weight of each factors. The results shown that human dimension is the most importance factor to be considered by BPK in IT utilization. However, based on current condition the technological factor need to be improvement urgently since it is the most cited barrier by the respondents.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121666790","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