2021 9th International Conference on Information and Communication Technology (ICoICT)最新文献

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Digital Nudge Evaluation on COVID-19 tracing Application 新型冠状病毒追踪应用的数字助推评估
2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527480
Dyah Wahyu Sukmaningsih, E. Abdurachman, B. Purwandari, A. Trisetyarso
{"title":"Digital Nudge Evaluation on COVID-19 tracing Application","authors":"Dyah Wahyu Sukmaningsih, E. Abdurachman, B. Purwandari, A. Trisetyarso","doi":"10.1109/ICoICT52021.2021.9527480","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527480","url":null,"abstract":"Nudge is considered as an intervention to change user behavior and influence decision-making. Mobile apps have become a part of our everyday life. In this pandemic era, governments use mobile apps' technology to control the spread of COVID-19 infection. Many governments implemented COVID-19 tracing apps, and citizens are forced to use the apps to record their contact tracing and alert them if they have contact with an infected person. The key to control the increasing spread of the virus also depends on citizens adhere to health protocol. Government has experience difficulty in enforcing the protocol without strict surveillance. Therefore, building awareness of risk is essential—this study attempt to design nudge intervention into COVID-19 tracing apps. From the evaluation of the original apps, four nudge interventions can be applied in the application.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129806498","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
Traffic Sign Recognition with Convolutional Neural Network 基于卷积神经网络的交通标志识别
2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527505
Z. Ng, Kian Ming Lim, C. Lee
{"title":"Traffic Sign Recognition with Convolutional Neural Network","authors":"Z. Ng, Kian Ming Lim, C. Lee","doi":"10.1109/ICoICT52021.2021.9527505","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527505","url":null,"abstract":"Traffic sign recognition is a computer vision technique to recognize the traffic signs put on the road. In this paper, a traffic sign dataset with approximately 5000 images is collected. This paper presents an ablation analysis of Multilayer Perceptron and Convolutional Neural Networks in traffic sign recognition. The ablation analysis studies the effects of different architectures of Multilayer Perceptron and Convolutional Neural Networks, batch normalization, and dropout. A total of 8 different models are reviewed and their performance is studied. The experimental results demonstrate that Convolutional Neural Networks outperform Multilayer Perceptron in general. Leveraging dropout layer and batch normalization is effective in improving the stability of the model and achieved 98.62% accuracy in traffic sign recognition.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129094234","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
Vision-Based Employee Activity Classification 基于视觉的员工活动分类
2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527492
Rizal Kusuma Putra, Ema Rachmawati, F. Sthevanie
{"title":"Vision-Based Employee Activity Classification","authors":"Rizal Kusuma Putra, Ema Rachmawati, F. Sthevanie","doi":"10.1109/ICoICT52021.2021.9527492","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527492","url":null,"abstract":"An employee should be competent and expertise in their respective fields. An evaluation is needed to maintain the quality of employee’s performance, one of which can be done by observing their activity during working hours. This research discusses the classification of the employee’s activity in desk work. Classification of employee’s activity is investigated using ResNet and the Cyclical Learning Rate method in a novel dataset, i.e. vision-based employee activity. Classification is done by looking at three types of employee activities: talking on the phone, using a PC, and playing smartphone. The most optimal result of this research is ResNet50 using CLR with image input of 224x224x3 which has an accuracy of 87.01% and 12.99% error rate for talking on the phone, 99.95% accuracy and 0.05% error rate for using a pc, 81.67% accuracy and 18.83% error rate for playing smartphone, and has a decreasing loss value. In addition, this research shows that cyclical learning rate significantly affects the model performance.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125305143","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
Exploring the existence and variation of Game Player Traits among Undergraduate students in Malaysia 探讨马来西亚大学生游戏玩家特质的存在与变化
2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527451
M. Sanmugam
{"title":"Exploring the existence and variation of Game Player Traits among Undergraduate students in Malaysia","authors":"M. Sanmugam","doi":"10.1109/ICoICT52021.2021.9527451","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527451","url":null,"abstract":"The use of game has become a norm for generation-z, whose live revolves around technology. The ease of access towards games via handheld devices such as tablets or smartphones cultivates a specific type of motivation among students. These motivational goals will indirectly influence the ways students investigate tasks that may or may not have a snippet of game-like environments. As such, it will be vital to identify the player motivation among these students. This study used a quasi-experimental design with a one-group post-test-only design. Participants from a tertiary institution were tested using an adapted Bartle Player Motivation questionnaire after learning via an e-learning platform. The overall findings showed that all students have a higher tendency of Achiever player motivation followed by Explorer, Killer, and Socializer. This showed that players go for individualistic games that are played for fun, personal gain, or occupying their time, thus the low level of preference towards socialization. Meanwhile, when differentiating among genders, female students' Achiever Player motivation tendencies are higher than male students, while the Killer Player motivation tendencies of male students are higher than female students. This can be attributed to the morale of female students leaning towards proving or achieving something in a game. Meanwhile, male students have gaming intentions to not only win but dominate others. As such, identifying students' motivation in learning and using technology can guide them in the right path of interest, leading to a personalized learning path.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125524557","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
Critical Success Factors for Project Tracking Software Implementation: A Case Study at a Banking Company in Indonesia 项目跟踪软件实施的关键成功因素:印度尼西亚一家银行公司的案例研究
2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527456
Hendro Prabowo Hadi, Ridha Adjie Eryadi, T. Raharjo
{"title":"Critical Success Factors for Project Tracking Software Implementation: A Case Study at a Banking Company in Indonesia","authors":"Hendro Prabowo Hadi, Ridha Adjie Eryadi, T. Raharjo","doi":"10.1109/ICoICT52021.2021.9527456","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527456","url":null,"abstract":"In today’s business environment, location is not an obstacle anymore. Teams can work virtually and collaboratively with ease using web-based project tracking software. As a result of computer technology and information flow advances, companies are moving to new project management tools, improved project governance, and increased stakeholder engagement. To keep its competitiveness and ability to deliver products on schedule, one of the Bank in Indonesia adopted Jira Atlassian as project tracking software to replace the previous in-house system which is called e-SDLC (electronic Software Development Life Cycle) that can monitor and track project status. But it did not go well and faced obstacles at the beginning of implementation. This study aims to find and evaluate the Critical Success Factors (CSF) for project tracking software implementation in one of Indonesia banking company. From previous research, there are identified challenges and obstacles when applying project management tools which are governance, adoption process, technology & knowledge, and stakeholders. From this research, we identified 4 keys criteria, namely people, process, organization, and technical as CSF (ordered from the most important criteria using analytical hierarchy process-AHP). The findings of this study could help company increasing the success probability in implementing project tracking software.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124420487","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
Modified Bit Parity Technique for Error Detection of 8 Bit Data 改进的位奇偶校验技术用于8位数据的错误检测
2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527522
F. Zulfira, H. Nuha, Dodi Wisaksono Sudiharto, R. Utomo
{"title":"Modified Bit Parity Technique for Error Detection of 8 Bit Data","authors":"F. Zulfira, H. Nuha, Dodi Wisaksono Sudiharto, R. Utomo","doi":"10.1109/ICoICT52021.2021.9527522","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527522","url":null,"abstract":"Bit parity is often used as an error detection technique in sending digital data that has interruption during transmission. Error detection techniques allow correcting data to be error-free. Research that has been used using bit parity has been done but only detected even parity and odd parity where the process is very simple so that modifications can be made to detect other than even or odd parity. In this study a modification of the bit parity method was built in which each message received in the first 4 bits will be detected whether the bit value is a multiple of 4 and the remaining bits will be evenly detected. Error detection using the proposed parity bits results in a fairly good detection system and is more efficient if there are more bits in the message.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126792076","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
Cultivating Recycling Awareness in Preschoolers using Animated Interactive Comic 运用动画互动漫画培养学龄前儿童的回收意识
2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527465
Siti Zulaiha Ahmad, Nurul Aina Kamarulzaman, A. A. Mutalib
{"title":"Cultivating Recycling Awareness in Preschoolers using Animated Interactive Comic","authors":"Siti Zulaiha Ahmad, Nurul Aina Kamarulzaman, A. A. Mutalib","doi":"10.1109/ICoICT52021.2021.9527465","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527465","url":null,"abstract":"Recycling awareness is a crucial social responsibility that needs to be cultivated in the community especially to the young generation. Knowledge of recycling awareness is less exposed to children especially in school since it is an activity that is not applied by parents at home because they are busy with work. Therefore, this study introduces an interactive animated comic of recycling, as an alternative learning application to facilitate children in preschool in learning and gaining new knowledge. i-Recycle consists of numerous storylines such as weekly activities collecting recycled items at home with family, cleaning the park with friends, and learning activities in the classroom. This study integrates all components using a three-phase development model, which consists of pre-development, development, and post-development phases. Usability testing has been conducted with 20 children in an individual setting to ensure that i-Recycle is usable and learnable, as those are the important elements to cultivate awareness among the children. The result revealed that 79.75% of the participants agreed i-Recycle is applicable, easy to use, and easy to learn. In fact, the user acceptance results also proven that the application is useful, easy to use, and acceptable (μ = 3.9). The result disclosed that i-Recycle is interesting for target users to gain new knowledge and learn about recycling through storytelling and animated comic. However, it requires improvement in terms of audio and interface design to ensure the application could suffice the needs of preschoolers.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128184588","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
Data Acquisition Guide for Forest Fire Risk Modelling in Malaysia 马来西亚森林火灾风险建模数据采集指南
2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527495
Yee Jian Chew, S. Ooi, Y. Pang
{"title":"Data Acquisition Guide for Forest Fire Risk Modelling in Malaysia","authors":"Yee Jian Chew, S. Ooi, Y. Pang","doi":"10.1109/ICoICT52021.2021.9527495","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527495","url":null,"abstract":"Availability of remote sensing data (i.e., information captured from satellite) in conjunction with the usage of Geographic Information System (GIS) has made it feasible to deliver a fire model capable to segregate the area into a higher or lower risk fire region. The advancement of technologies has also inaugurated the possibility to incorporate remote sensing information and other ground data (e.g., meteorological data, distance to road data, etc.) by utilizing machine learning classifiers or deep learning algorithm to predict the forest fire occurrence. However, it should be highlighted that the data acquisition procedure may vary depending on the vicinity of the study area since some data are only obtainable from the specific government authority. In this paper, we will be disclosing some of the publicly accessible remote sensing data and some of the valuable data attainable from the Malaysian government that is useful for detecting forest fire in Malaysia. Additionally, previous studies and works that have employed the data source to map forest fire are also deliberated in this paper. Only the data that had been exploited in the past for Malaysia are discussed.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129387898","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
Compressive Sensing Image Watermarking Orthogonal Matching Pursuit 压缩感知图像水印正交匹配追踪
2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527468
Irma Safitri, L. Novamizanti, A. S. Laksono
{"title":"Compressive Sensing Image Watermarking Orthogonal Matching Pursuit","authors":"Irma Safitri, L. Novamizanti, A. S. Laksono","doi":"10.1109/ICoICT52021.2021.9527468","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527468","url":null,"abstract":"Ease of access to digital data on the internet makes piracy more rampant, especially of copyright and ownership in the multimedia industry. Therefore, we need a system to secure the copyright of data ownership. Watermarking is one solution to overcome piracy that occurs. Watermarking allows the embedded confidential information to be solved by other parties. This study discusses image watermarking using discrete wavelet transform (DWT) method to decompose the host image as an image where the watermark is embedded, the spread spectrum (SS) method used in the insertion process by spreading watermark bits on the host image and compressive sensing (CS) which is used to increase the efficiency of the watermark technique to increase the capacity and perceptibility of the watermarking process. The reconstruction process was carried out using orthogonal matching pursuit (OMP). The result is that the host image has a watermark embedded in the best sub-band. The test results showed the performance of the PSNR value was 71.2 dB, MSE was close to 0 and BER was 0.0001068.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131339725","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
Electronic Nose Dataset for Classifying Rice Quality using Neural Network 基于神经网络的稻米品质分类电子鼻数据集
2021 9th International Conference on Information and Communication Technology (ICoICT) Pub Date : 2021-08-03 DOI: 10.1109/ICoICT52021.2021.9527423
Ferdy Erlangga, D. Wijaya, Wawa Wikusna
{"title":"Electronic Nose Dataset for Classifying Rice Quality using Neural Network","authors":"Ferdy Erlangga, D. Wijaya, Wawa Wikusna","doi":"10.1109/ICoICT52021.2021.9527423","DOIUrl":"https://doi.org/10.1109/ICoICT52021.2021.9527423","url":null,"abstract":"Rice is a staple food ingredient because it is the main food element for Indonesia and the world. However, the quality of rice can decline over time until it becomes expired or smelly and cannot be consumed. At present, the conventional method to distinguish between expired rice and not expired rice is still carried out by observing rice with the human sense of smell. However, this method is still considered ineffective because the human sense of smell can change due to changes in body health. In this case, this study uses an electronic nose (enose) and a machine learning neural network (NN) algorithm to detect rice consistency (expired and non-expired). The dataset was obtained from the e-nose by recording sensor information for 25 weeks by storing 48.486 total data and 2.017 data records for one week. The results of the classification using NN are with an accuracy score of 99.84%, the proposed method successfully classified rice quality.","PeriodicalId":191671,"journal":{"name":"2021 9th International Conference on Information and Communication Technology (ICoICT)","volume":"9 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114085489","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: 8
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