Steven Adrian, Jovan Tandy, Sultan Ardiyansyah, Adhitya, Gabriella Evangeline, Dendy, Tanty Oktavia, F. Gaol, Takaaki Hosoda
{"title":"The Impact of Online Learning System Collaborator on Students' Ability","authors":"Steven Adrian, Jovan Tandy, Sultan Ardiyansyah, Adhitya, Gabriella Evangeline, Dendy, Tanty Oktavia, F. Gaol, Takaaki Hosoda","doi":"10.1109/ICISS53185.2021.9533217","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533217","url":null,"abstract":"Pandemic Covid-19 has change learning process to use online learning platform to limit interaction between participant of learning and reduce the Covid-19. This shifting has a major impact on education. Even though, many things have been done by education institution, lecturers, and students in adapting to online learning. In this study focus to check the effect of online learning on students' ability to understand the learning process. In this research, we use quantitative approach. To collect the data, this study uses a questionnaire method and in data analysis this study uses descriptive methods. In the results of this research can conclude that there is a positive influence from online learning on student’s ability to understand the material. Therefore, higher education institution have to consider online learning to be good so that in the future it can continue to be developed or upgrade so that it can make it easier for students to understand the material and learn effectively and efficiently.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"17 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":"133131574","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}
Vicky Feliren, Y. Nugraha, B. I. Nasution, Clarissa Febria Finola, J. Kanggrawan, A. Suherman
{"title":"The Effect of Plastic Bag Ban Policy Towards Waste Complaints in Jakarta Through JAKI and Qlue","authors":"Vicky Feliren, Y. Nugraha, B. I. Nasution, Clarissa Febria Finola, J. Kanggrawan, A. Suherman","doi":"10.1109/ICISS53185.2021.9533236","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533236","url":null,"abstract":"Plastic bag ban policy has been implemented in Jakarta since July 1st, 2020. However, it is still unclear the impact of this policy on Jakarta to reduce waste. The public complaint can be used as a proxy to see how the public responds to the waste reports distributed in Jakarta. This research aims to look at the plastic bag ban policy's significance towards waste complaints through two applications that citizens used to report, JAKI and Qlue. In this study, non-parametric hypothesis testing was performed since the data are not normally distributed. The result shows that North Jakarta did not show any significant differences in the waste reports after the plastic bag ban policy. On the other hand, the rest of the districts show a considerable difference.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"11 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":"132748750","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}
{"title":"Development of Smart Campus Model","authors":"Radiant Victor Imbar, S. Supangkat, A. Langi","doi":"10.1109/ICISS53185.2021.9533223","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533223","url":null,"abstract":"The challenges of higher education in the era of industrial revolution 4.0 are global competition and technological progress. Universities must be able to adapt to the fourth industrial revolution to be competitive and recruit new students in the face of such fierce competition. Universities in Indonesia must build a smart campus if they want to become more competitive. Before implementing a smart campus, it is necessary to build a smart campus model that becomes a reference for universities to implement smart campuses. The Smart Campus model created will refer to the Garuda Smart Campus Model and be integrated with the Higher Education model and the Smart System model can be a reference for universities to simulate the Smart Campus that will be implemented and can be the foundation for measuring the intelligence level of campus so that it can be a reference for colleges to simulate the Smart Campus that will be implemented.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"33 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":"124575624","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}
{"title":"E-Voucher System Development for Social Assistance with Blockchain Technology","authors":"Juniardi Akbar, R. Munir","doi":"10.1109/ICISS53185.2021.9532498","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9532498","url":null,"abstract":"The system of providing social assistance in Indonesia is still far from perfect. One of the problems that will be discussed in this paper is the problem of distributing social assistance. In its implementation in the field, one of the alternative social assistance distribution systems is the electronic voucher system. However, this system still uses a centralized architecture which has several weaknesses, such as the existence of a single point of failure to transaction data that is still stored by one party, giving rise to potential fraud. Therefore, blockchain technology is used in an electronic voucher system for social assistance. By using blockchain technology, the electronic voucher system has data with integrity as a form of government accountability.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"53 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":"124988715","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}
Evelin, Suclinton, Ryan Vieri Kwa, Maria Susan Anggreainy
{"title":"Developing an Application to Hire a Private Tutor Using Scrum Method","authors":"Evelin, Suclinton, Ryan Vieri Kwa, Maria Susan Anggreainy","doi":"10.1109/ICISS53185.2021.9532506","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9532506","url":null,"abstract":"Education is an essential factor in this era. Many parents want their kids to be well educated. There has been an increasing demand for hiring a private tutor in most developing and developed countries in these past several years. Since the demand for a private tutor is increasing, finding a private tutor has been a challenge. So, to tackle that challenge, we decided to build an application to help people find and hire the best private tutor. To build this application, we decided to use the scrum methodology rather than the traditional waterfall model. Since the scrum method offers some advantages that can help us speed the process of building this application, the result of this paper will be an application that can be used to hire a private tutor.","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"23 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":"126664835","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}
{"title":"Multilayer Convolutional Parameter Tuning based Classification for Geological Igneous Rocks","authors":"A. Nursikuwagus, R. Munir, Masayu Leylia Khodra","doi":"10.1109/ICISS53185.2021.9533230","DOIUrl":"https://doi.org/10.1109/ICISS53185.2021.9533230","url":null,"abstract":"A framework different CNN has been proposed to solve image classification. The power of CNN and the ability to extract demanding features has to be a target for proposed the new ideas. In the geology domain, issues in ascertaining igneous rock from volcanic eruptions often contrast in classification when explored from the location of the rocks. These domain problems must be resolved, contemplating to have consistency and accelerate rock classification. CNN has used to figure out the problem by expanding in multilayer convolution. Besides, parameter tuning has anointed to get the high accuracy to enhance the CNN model. This study has exploited many parameters tuning such as rescaling, cropping, size of inaccurate filter prediction. The exploration has shown that CNN(64,5) achieves a high accuracy of 98.9% and validation carries out accuracy of 81.1%. This study has confirmed that enumerating the tuning parameter on rescaling and cropping does not boost accuracy, even modifying the filter size and stride. Some results have shown still have an inaccuracy class, specifically in the diorite and limestone. The error forecast is 31.7% of 41 predicted diorite images and 30% of 50 predicted limestone images, respectively. (Abstract)","PeriodicalId":220371,"journal":{"name":"2021 International Conference on ICT for Smart Society (ICISS)","volume":"47 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":"126949568","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}