2021 International Conference on ICT for Smart Society (ICISS)最新文献_第8页

Conceptual Framework for the Development of IoT based Virtual Laboratory for Learning 基于物联网的虚拟学习实验室开发概念框架

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533195

Ainun Amaliah, Y. Rosmansyah

引用次数: 0

Implementation of the IoT-Based Electrical Quantity Monitoring System at the Electrical Installation Laboratory, Metal Industry Polytechnic of Morowali 基于物联网的电量监测系统在莫罗瓦利金属工业职业技术学院电气安装实验室的实施

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533259

Fachrur Razy Rahman, Ayu Latifah, Moh. Afandy, M. Wirandi, Muh. Fahim Azhari

{"title":"Implementation of the IoT-Based Electrical Quantity Monitoring System at the Electrical Installation Laboratory, Metal Industry Polytechnic of Morowali","authors":"Fachrur Razy Rahman, Ayu Latifah, Moh. Afandy, M. Wirandi, Muh. Fahim Azhari","doi":"10.1109/ICISS53185.2021.9533259","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533259","url":null,"abstract":"This study aims to determine the value of electrical quantities in the form of voltage, current, power factor, power, and frequency of resistive loads and inductive loads on single-phase power lines in real-time and accurately at the Electrical Installation Laboratory, Metal Industry Polytechnic of Morowali. This research is made in the form of a prototype of an electric quantity monitoring system that can be obtained in real-time using IoT devices. This research uses several IoT devices, such as the Node MCU ESP8266, PZEM004T sensor, Liquid Crystal Display (LCD) & I2C Interface, as well as internet services in the form of thinkspeak as an interface for IoT-based monitoring results. After doing the testing and analysis, then the magnitude of the voltage, current, power factor, power, and frequency at the electrical load of 2 100 W lamps, 2 75 W lamps, 2 9 W lamps, and 2 750 W induction motors respectively are 226.83 V, 14.6693 A, 0.33, 1.103 kW, and 50.13 Hz. The error between the results of monitoring and measurement is 0.046% at 19.00 WITA and 0.11% at 22.00 WITA. Thus the prototype monitoring system can be implemented in the Electrical Installation Laboratory, Metal Industry Polytechnic of Morowali.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"315 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120840247","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

Smart Engineering Platform: An Overview of New Engineering Taxonomy 智能工程平台:新工程分类法综述

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533251

K. Mutijarsa, Marco William Langi, Y. Bandung, A. Langi

引用次数: 0

Gamification in the Learning Community for Culinary Basics Course at Higher Education 高等教育烹饪基础课程学习社区中的游戏化

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533188

Winanti, Meyliana, Francisca Sestri Goestjahjanti, Ford Lumban Gaol, Harjanto Prabowo, Dwi Ferdiyatmoko Cahya Kumoro

{"title":"Gamification in the Learning Community for Culinary Basics Course at Higher Education","authors":"Winanti, Meyliana, Francisca Sestri Goestjahjanti, Ford Lumban Gaol, Harjanto Prabowo, Dwi Ferdiyatmoko Cahya Kumoro","doi":"10.1109/ICISS53185.2021.9533188","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533188","url":null,"abstract":"This paper discusses basic culinary learning in universities using gamification techniques. The learning objectives are carried out to improve maximum learning outcomes, create a sense of pleasure and joy (satisfaction), and increase motivation. Although the author realizes that gamification is not the only learning technique that must be applied. The success of learning can be influenced by various factors including the internal factors of students and lecturers which until now have become the most important factors. Apart from the curriculum, social environment, and methods used, gamification is an alternative to produce maximum value, satisfaction, and motivation. The gamification technique is done by dividing students into several groups, each group consisting of 4 to 6 students. Each half-semester group is given learning by conventional methods and the next half-semester is given learning by gamification. Both will be evaluated through the results of the assessment in the form of statistics. The results obtained by using gamification on average have 10 to 20 points better than conventional methods. Students and lecturers become satisfied, motivated and get maximum test scores and they become more creative and innovative due to direct student involvement and fast interaction between lecturers and students.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":" 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120826458","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

Automation in Financial Reporting by using Predictive Analytics in SAP Analytics Cloud for Gold Mining Industry: a Case Study 利用SAP分析云中的预测分析实现财务报告自动化:一个案例研究

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9532504

Sabil Nararya, M. Saputra, Warih Puspitasari

{"title":"Automation in Financial Reporting by using Predictive Analytics in SAP Analytics Cloud for Gold Mining Industry: a Case Study","authors":"Sabil Nararya, M. Saputra, Warih Puspitasari","doi":"10.1109/ICISS53185.2021.9532504","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9532504","url":null,"abstract":"To carry out the monitoring process that carried out by the Board of Directors in the Finance division, an ERP dashboard application system is needed to support monitoring carried out by the Board of Directors in each division, especially the Finance division. However, a dashboard must be integrated with the intended data so that it can display data in real time with one environment to meet the needs, effectiveness and efficiency of the company in displaying data in the form of a dashboard. There are also other features needed such as the dashboard that must be accessible from various platforms such as PCs, Tablets, Smartphones, etc. To provide the effectiveness of decision-making from the data that displayed on the dashboard, a predictive analysis feature is needed to make predictions on existing data for analysis which will help in the decision-making process for the future. For this reason, it requires the implementation of SAP Analytics Cloud so that all the functions needed by the company in increasing the effectiveness and efficiency of data display can be realized. The implementation process is carried out using the Accelerated SAP method, where this process has 5 main stages, project preparation, business blueprint, realization, final preparation, and go-live and support. Based on the research on the implementation of predictive analysis models in the SAP Analytics Cloud digital service for functional dashboard design in the finance module, there are suggestions to be used as input for further research, namely the need for improvements to the data source / query on the NPAT (Net profit after tax) model data.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"38 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120930568","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

Consumer Sentiment Analysis to E-Commerce in the Covid-19 Pandemic Era 新冠肺炎疫情下电子商务消费者情绪分析

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533261

H. Aulawi, Essy Karundeng, W. A. Kurniawan, Y. Septiana, Ayu Latifah

{"title":"Consumer Sentiment Analysis to E-Commerce in the Covid-19 Pandemic Era","authors":"H. Aulawi, Essy Karundeng, W. A. Kurniawan, Y. Septiana, Ayu Latifah","doi":"10.1109/ICISS53185.2021.9533261","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533261","url":null,"abstract":"This study aims to identify e-commerce problems during the Covid-19 pandemic as a basis for providing recommendations for improving e-commerce services. The methods used in this research are Naïve Bayes Classifier (NBC), Text Association, and Focus Group Discussion (FGD). The NBC method is used to classify consumer sentiment, while the Text Association is to find the relationship between words. The data source used is consumer reviews submitted on Twitter for the period January-April 2021. The FGD method is used to classify the results of the Text Association into service marketing mix elements, identify root causes using Fishbone Diagrams and develop recommendations for improvement. The respondents involved in the FGD were e-commerce experts representing practitioners and academics. The result of the improvement recommendation is: educating sellers always to provide accurate product specification information and implementing quality control; increasing mutually beneficial cooperation with logistics service providers, especially concerning service commitments and cutting shipping costs; improve information disclosure of promotional events; improve the refund procedure; optimization of multichannel e-commerce software; increase accuracy in the process of selecting and verifying prospective seller data; improve transaction process monitoring; optimizing the application of a reward and punishment system based on consumer reviews.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115078068","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

A Tree-based Mortality Prediction Model of COVID-19 from Routine Blood Samples 基于树的血常规COVID-19死亡率预测模型

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533219

N. N. Qomariyah, Ardimas Andi Purwita, Sri Dhuny Atas Asri, D. Kazakov

{"title":"A Tree-based Mortality Prediction Model of COVID-19 from Routine Blood Samples","authors":"N. N. Qomariyah, Ardimas Andi Purwita, Sri Dhuny Atas Asri, D. Kazakov","doi":"10.1109/ICISS53185.2021.9533219","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533219","url":null,"abstract":"COVID-19 has been declared by The World Health Organization (WHO) a global pandemic in January, 2020. Researchers have been working on formulating the best approach and solutions to cure the disease and help to prevent such pandemics in the future. A lot of efforts have been made to develop a fast and accurate early clinical assessment of the disease. Machine Learning (ML) has proven helpful for research and applications in the health domain as a way to understand real-world phenomena through data analysis. In our experiment, we collected the retrospective blood samples data set from 1,000 COVID-19 patients in Jakarta, Indonesia for the period of March to December 2020. We report our preliminary findings on the use of common blood test biomarkers in predicting COVID-19 patient mortality. This study took advantage of explainable machine learning to examine the data set. The contribution of this paper is to explain our findings on predicting COVID-19 mortality, including the role of the top 11 biomarkers found in our dataset. These findings can be generalized, especially in Indonesia, which is now at its highest peak of the epidemic. We show that tree-based AI models performed well on predicting COVID-19 mortality, while also making it easy to interpret the findings, as they lend themselves to human scrutiny and allow clinicians to interpret them and comment on their viability.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129706711","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

Knowledge Management Toward Poverty Reduction 知识管理促进减贫

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533228

Mahfudh Ahmad, Harjanto Prabowo, H. L. Hendric Spits Warnars, W. Kosasih

{"title":"Knowledge Management Toward Poverty Reduction","authors":"Mahfudh Ahmad, Harjanto Prabowo, H. L. Hendric Spits Warnars, W. Kosasih","doi":"10.1109/ICISS53185.2021.9533228","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533228","url":null,"abstract":"Knowledge Management (KM) is a very valuable asset and becomes an added value for anyone who owns it. This research is intended to gain a better understanding of the use of KM and eLearning for the purpose of economic development and poverty alleviation. The main question concerns how KM and eLearning can provide information and decision to the policymaker. This question lends itself to a broader discussion of how the creation, communication, and utilization of eLearning and knowledge can increase capacity in Government (competency and productiveness), design and apply planning more knowledge-based, and come up with greater acknowledgment of program implementation (accountability) and help planning, budget allocation, implementing, monitoring social protection programs. Based on our findings, Local governments need assistance and collaboration in dealing with increasing intricacy and unsureness in poverty targeting. We look into how differential scheme of technological change in using KM are turning government work processes in terms of competence and productivity in their results, we sent questionnaire form to 295 districts and we took peer-to-peer interview from 6 districts in Indonesia and in every district, we visit 3 offices which utilizing the unified database. The conclusion of this paper, that KM and eLearning can support governments as a tool for expanding socio-economic development, such as poverty reduction, especially in the case of rotation and mutation of positions, we have found that KM and eLearning system can fill the gap for the new policymaker to continue the social protection program.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127420728","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

Eye Movement Detection using Histogram Oriented Gradient and K-Nearest Neighbors 基于直方图梯度和k近邻的眼动检测

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533232

Imam Faris, Fitri Utaminingrum

{"title":"Eye Movement Detection using Histogram Oriented Gradient and K-Nearest Neighbors","authors":"Imam Faris, Fitri Utaminingrum","doi":"10.1109/ICISS53185.2021.9533232","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533232","url":null,"abstract":"Hand defects will hinder human activities in interacting. In general, people with hand defects will replace the function of the hand with doing an activity in other organs, such as the feet, head, or eyes. Eye movement technologies have been used for different purposes in various industries, from medical, gaming, controlling display menu to assistive technology for people with disabilities. The development of new technologies focused on disability is vital as it improves the quality of life and incorporation into society. Therefore, eye movement detection can later be developed to select menus from the LCD screen. Detection of eye movements is divided into four classes, namely looking up, down, left, and right. The menu on the LCD screen contains options of activities such as calling the nurse, choosing a food menu, and going to the toilet, making it easier for nurses to understand the user's activities. This system is made using Histogram Oriented Gradient combining with Haar Cascade for eye detection and K-Nearest Neighbors as a classifier. Finally, this work shows that the KNN can be used to classify with an average accuracy of 83.33%.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"269 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114014264","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

Viloc: An Android Mobile App Used for Indoor-Trapped Victim Location Visualization Viloc:用于室内被困受害者位置可视化的Android移动应用程序

2021 International Conference on ICT for Smart Society (ICISS) Pub Date : 2021-08-02 DOI: 10.1109/ICISS53185.2021.9533250

Farrel Fatah Muhammad Atiq, Y. Bandung

{"title":"Viloc: An Android Mobile App Used for Indoor-Trapped Victim Location Visualization","authors":"Farrel Fatah Muhammad Atiq, Y. Bandung","doi":"10.1109/ICISS53185.2021.9533250","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533250","url":null,"abstract":"In cases of disasters, such as earthquakes or fires occurring in urban or industrial areas, it is often to find conditions that trap victims in buildings. Under these conditions, the process of tracking and finding victims becomes critical. However, currently available solutions to find trapped victims still have several limitations, particularly the capabilities, accessibilities, and availabilities of supporting tools. This limitation raises the need for a new solution to support rescue teams by quickly, accurately, and intuitively providing location information of victims. Viloc is a native Android mobile application aimed to assist rescue teams in finding indoor-trapped victims. To achieve this goal, Viloc requires to receive, manage, process, and visualize data quickly, precisely, and intuitively. Based on the scope of its functionalities, Viloc as a system comprises three modules: Cloud Server module, Mobile Application, and Data Processing & Visualization. Functional and performance testing shows that Viloc has successfully executed all its functionalities and met the specified performance specifications. In addition, the usability testing gave results as follows: 96.67% completion rate, 98.18% overall relative efficiency, and 87.46% user satisfaction rate.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130776694","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