2022 5th International Conference of Computer and Informatics Engineering (IC2IE)最新文献

Energy Saving of IoT-based Light Intensity on Smart Streetlight 基于物联网的智慧路灯光强节能研究

2022 5th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2022-09-13 DOI: 10.1109/IC2IE56416.2022.9970072

Murie Dwiyaniti, Ajeng Bening Kusumaningtyas, Silawardono, S. L. Kusumastuti, Yoga Saefullah, Tohazen, Fairuza Qonitah Tireno, Daniswara Ramadhan

引用次数: 1

Realtime Indoor Navigation System for Visually Impaired Person using Direct-based Navigation 使用直接导航的视障人士实时室内导航系统

2022 5th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2022-09-13 DOI: 10.1109/IC2IE56416.2022.9970063

T. Mantoro, Muhammad Zamzami

引用次数: 0

An Internet of Things (IoT)- based Smart Automatic Medication Dispenser with an Integrated Web Application for Patient Diagnosis 基于物联网(IoT)的智能自动药物分配器，具有用于患者诊断的集成Web应用程序

2022 5th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2022-09-13 DOI: 10.1109/IC2IE56416.2022.9970073

Rehenuma Tabassum Meghla, Md. Ether Deowan, Ahsan Kabir Nuhel, Mir Mohibullah Sazid, Md. Nafiz Ekbal, Mohammad Hossain Mahamud

引用次数: 0

The Effect and Impact of the Electre Method for Sensitivity Testing Based on the Case Study Selection of Outstanding Students 电法灵敏度测试的效果与影响——基于优秀学生的个案研究选择

2022 5th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2022-09-13 DOI: 10.1109/IC2IE56416.2022.9970134

Tonny Hidayat, Hendra - Kurniawan, Ika Asti Astuti, Rizka Pravitasari, Yudi Kristyawan, Litafira Syahadiyanti

{"title":"The Effect and Impact of the Electre Method for Sensitivity Testing Based on the Case Study Selection of Outstanding Students","authors":"Tonny Hidayat, Hendra - Kurniawan, Ika Asti Astuti, Rizka Pravitasari, Yudi Kristyawan, Litafira Syahadiyanti","doi":"10.1109/IC2IE56416.2022.9970134","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970134","url":null,"abstract":"A Decision Support System (DSS) is a computer-based system that provides a selection of alternative options to assist management in making decision with structured or unstructured difficulties by employing the information. One of the DSS approaches used is the Elimination Et Choix Traduisant La Realité (Electre) methodology. The Electre method is a multi-criteria decision-making strategy that examines pairs of options based on each relevant criterion. The Electre approach can be used when alternatives that do not satisfy the requirements are eliminated and acceptable alternatives are generated. The Electre technique was employed in this study to achieve the selection of student data that had previously been processed using the Simple Additive Weighting (SAW) method. This study is helpful for studying the outcomes of a decision made using the Electre approach based on predefined criteria and alternatives. The results of these computations will be used in a prototype application. In addition, the results of the decision between the SAW technique and the Electre method will be examined for sensitivity in order to assess the sensitivity value of the two techniques.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129701587","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

Texture Features and Statistical Features for Wood Types Classification System 木材类型分类系统的纹理特征和统计特征

2022 5th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2022-09-13 DOI: 10.1109/IC2IE56416.2022.9970071

A. Fahrurozi, R. Kosasih

{"title":"Texture Features and Statistical Features for Wood Types Classification System","authors":"A. Fahrurozi, R. Kosasih","doi":"10.1109/IC2IE56416.2022.9970071","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970071","url":null,"abstract":"Wood types research usually regards species of wood images. This research focuses on the classification of wood types in Indonesia, coming from four wood species, with one species divided into two types based on their grade and morphological characteristics. The dataset in this research was also created with variations in scale and position, i.e., horizontal and vertical. The feature extraction method is regarded by its types, known as texture features and statistical features. Texture features were extracted using Gray Level Co-occurrence Matrix (GLCM), and statistical features were obtained using the Histogram method. This research aims to analyze the relationship between classifiers and feature types as their input to classification performance for our unique dataset. Support Vector Machine (SVM) and Random Forest are two classifiers used in this research. Generally, four scenarios of the classification system are considered. The output of this study is an image dataset consisting of 5 types of wood in Indonesia and a wood species classification model. The best model was given by statistical features that were used as input of SVM, with an accuracy of 89%, Weighted Average Precision at 94%, and Weighted Average Recall at 89%. This result leads to an exciting point that statistical features give better classification results than texture features in the case of wood types classification, which contains intra-species. It also found that two statistical features, deviation and smoothness, can be assumed as features that have theoretical implications that make intra-species classification more difficult.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129270264","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

Speakers Biography 人传记

2022 5th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2022-09-13 DOI: 10.1109/ic2ie56416.2022.9970157

C. Chevauché, Christian P. Schindler, V. Boiten, Dirk Vantyghem

引用次数: 0

Applying Software Development Risk Taxonomy in Use Case Points Complexity Factor 在用例点复杂性因子中应用软件开发风险分类法

2022 5th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2022-09-13 DOI: 10.1109/IC2IE56416.2022.9970138

Hafid Kholidi Hadi, R. S. Dewi, Fresha Kharisma, Achmad Kautsar, Anita Safitri

引用次数: 1

Robot Relay Networks for Area Exploration 区域勘探机器人中继网络

2022 5th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2022-09-13 DOI: 10.1109/IC2IE56416.2022.9970008

A. Fathoni, H. Nuha

{"title":"Robot Relay Networks for Area Exploration","authors":"A. Fathoni, H. Nuha","doi":"10.1109/IC2IE56416.2022.9970008","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970008","url":null,"abstract":"People use robots to facilitate an activity in everyday life. In everyday life there are many activities that can be done by humans, but in situations that cannot be handled by humans, a tool is needed that can alleviate or assist these activities. In this situation, one of the tools that can be used is a robot, especially a robot with a wireless sensor network so that it can be controlled remotely. Wireless Sensor Network (WSN) is an ad hoc and multihop network, this network also connects devices such as nodes, sink nodes, and routers. Wireless sensor networks can form a network without infrastructure and can transmit data in real-time which can make it easier for humans to do an activity. This paper uses the components of the relay robot itself using a microcontroller as a signal transmitter. This microcontroller has many types, one of which is NodeMCU ESP8266. This type has many features, one of which is the ESP8266 Wi-Fi module and can be programmed with the Arduino IDE. The experimental results show that the increase in time in sending messages in each condition is always increasing, this indicates that the interaction of distance and obstacles affects the signal strength in this system.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134452735","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

Detection of Brain Tumors from MRI Images using Convolutional Neural Networks 利用卷积神经网络从MRI图像中检测脑肿瘤

2022 5th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2022-09-13 DOI: 10.1109/IC2IE56416.2022.9970126

M. A. Magboo, V. P. Magboo

{"title":"Detection of Brain Tumors from MRI Images using Convolutional Neural Networks","authors":"M. A. Magboo, V. P. Magboo","doi":"10.1109/IC2IE56416.2022.9970126","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970126","url":null,"abstract":"There are more than 150 different brain tumors but can be grouped into two main types: primary and metastatic. Presently, magnetic resonance imaging (MRI) is the imaging of choice for the assessment of brain tumors. The objective of the study is to assess the diagnostic performance of convolutional neural networks in the evaluation of brain tumors from cranial MRI images. Different CNN models were applied to an anonymized publicly available MRI brain tumor dataset to assess the presence of brain tumors. Several pre-processing steps (image normalization, shuffling of images, image cropping, and geometric augmentation techniques) were applied to the MRI images. After a series of preliminary verification of various configurations, a base CNN model was developed with succeeding experiments being conducted to search for the optimum composition of neural network parameters. The best base CNN model configurations had very good performance results while the pre-trained architecture (VGG16 and ResN et50) generated excellent performance metrics. For complicated medical images such as cranial MRI, a deeper architecture is preferred over a shallower base model as the pre-trained models obtained much higher performance metrics. Nonetheless, the base model performed well particularly its sensitivity despite having a simpler though shallower architecture which indicates lower false negative results leading to fewer missed cases of patients with brain tumors. This indicates the base model's capability as a valid and reliable decision support tool. Hence, any of these CNN models can be incorporated routinely by physicians in their clinical practice to further augment their decision-making capability.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130761220","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

Analysis Factors Affecting Consumer Preferences in using Qris Payment In-Store 影响消费者在店内使用Qris支付偏好的因素分析

2022 5th International Conference of Computer and Informatics Engineering (IC2IE) Pub Date : 2022-09-13 DOI: 10.1109/IC2IE56416.2022.9970086

Muhammad Rafid Ediputra, Anna Agus Amalyah

{"title":"Analysis Factors Affecting Consumer Preferences in using Qris Payment In-Store","authors":"Muhammad Rafid Ediputra, Anna Agus Amalyah","doi":"10.1109/IC2IE56416.2022.9970086","DOIUrl":"https://doi.org/10.1109/IC2IE56416.2022.9970086","url":null,"abstract":"The purpose of this study is to analyze the factors that influence consumer preference when using QRIS (Quick Response Code Indonesian Standard) in Indonesian mobile payment systems in-store. With the advent of QRIS mobile payments, transactions in many areas of the business scene, especially in stores, have been disrupted. From cash and EDC (Electronic Data Capture) payments, it has become common in Indonesia to use QR payments with QRIS. A comprehensive review of the scientific literature shows the development of a behavioral model that explains the preference for using QRIS. This study uses a sample of 17–30 years old classified as active mobile payment users who regularly use QRIS in their business. This research aims to seek relationships between two variables by analyzing a quantitative type with a conclusive and descriptive research design. This study uses the technology acceptance model (TAM) to form different behaviors depending on the user's usage of each payment method offered. Insights and impacts on management provide an alternative to operating a business. This research uses SmartPLS since the focus of the research is to analyze the relationship between constructs, not analyzing a model. Empirical results show that the recognized convenience and speed constitute an important barrier to the payment process, along with the behavioral intention of users towards the QRIS payment. Other potential obstacles include an in-store selection of mobile payments, consumer ignorance of QRIS, old habits, image, and personal innovativeness of users' socially acceptable services and needs.","PeriodicalId":151165,"journal":{"name":"2022 5th International Conference of Computer and Informatics Engineering (IC2IE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114720602","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