Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632997
M. G. Langgawan Putra, Rama Yogaswara, M. I. Alfani Putera
User experience (UX) is a form of user’s perspective, their psychological reaction also their response on how they’re using a product, service, or system. Every system should have a good UX in order to minimize user confusion and getting good feedback from the user. However, from the questionnaire that distributed to 103 users of Kalimantan Institute of Technology’s integrated information system, several problems were found. The goal of this study is to find a problem that being mutually agreed by the users, and to prove is UX is affecting the user’s understanding rate on using this system. The result of this study found that 321 respondents out of a total of 350 agreed the problem that mutually agreed by the user is on the credible aspect from UX Honeycomb, there are a lot of inaccessible information or a page that didn’t show any information, with the approval rate of 91,71%. This study also found that UX is affecting user’s understanding rate on using this system, which mean the better the UX, the better user’s understanding rate on using this system.
{"title":"Analysis Effect of User Experience on Understanding Rate of Student Using Academic Information System in Higher Education with Honeycomb Method","authors":"M. G. Langgawan Putra, Rama Yogaswara, M. I. Alfani Putera","doi":"10.1109/ICIC54025.2021.9632997","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632997","url":null,"abstract":"User experience (UX) is a form of user’s perspective, their psychological reaction also their response on how they’re using a product, service, or system. Every system should have a good UX in order to minimize user confusion and getting good feedback from the user. However, from the questionnaire that distributed to 103 users of Kalimantan Institute of Technology’s integrated information system, several problems were found. The goal of this study is to find a problem that being mutually agreed by the users, and to prove is UX is affecting the user’s understanding rate on using this system. The result of this study found that 321 respondents out of a total of 350 agreed the problem that mutually agreed by the user is on the credible aspect from UX Honeycomb, there are a lot of inaccessible information or a page that didn’t show any information, with the approval rate of 91,71%. This study also found that UX is affecting user’s understanding rate on using this system, which mean the better the UX, the better user’s understanding rate on using this system.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122836656","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}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632920
Y. Sari, A. Baskara, Rika Wahyuni
Chili is a type of vegetable that has a very high economic value. The problem that often occurs in chili plants is that many agricultural losses are caused by disease. Plant diseases are always considered a very serious problem in all countries because economic growth is largely dependent on the agricultural sector in developing countries. In some plant, diseases sometimes caused by bacteria, viruses and fungi. To anticipate this problem, a method designed into a classification system for diagnosing chili leaf disease by applying the Gray Level Cooccurrence Matrix (GLCM) feature extraction method. Then classified using the Support Vector Machine (SVM) method. The output classification of disease diagnoses in chili obtained an overall accuracy level of 88%. The results obtained prove that the method of extracting the features of Gray Level Co-occurrence Matrix (GLCM) and Support Vector Machine (SVM) can be applied to diagnosing chili plants disease.
{"title":"Classification of Chili Leaf Disease Using the Gray Level Co-occurrence Matrix (GLCM) and the Support Vector Machine (SVM) Methods","authors":"Y. Sari, A. Baskara, Rika Wahyuni","doi":"10.1109/ICIC54025.2021.9632920","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632920","url":null,"abstract":"Chili is a type of vegetable that has a very high economic value. The problem that often occurs in chili plants is that many agricultural losses are caused by disease. Plant diseases are always considered a very serious problem in all countries because economic growth is largely dependent on the agricultural sector in developing countries. In some plant, diseases sometimes caused by bacteria, viruses and fungi. To anticipate this problem, a method designed into a classification system for diagnosing chili leaf disease by applying the Gray Level Cooccurrence Matrix (GLCM) feature extraction method. Then classified using the Support Vector Machine (SVM) method. The output classification of disease diagnoses in chili obtained an overall accuracy level of 88%. The results obtained prove that the method of extracting the features of Gray Level Co-occurrence Matrix (GLCM) and Support Vector Machine (SVM) can be applied to diagnosing chili plants disease.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114979644","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}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632939
A. Rahmah
The number of failing students in courses incompletion has increased during the implementation of distance learning due to the Covid-19 outbreak. The phenomenon also happened at STT Terpadu Nurul Fikri, a campus majoring in IT and IS, Depok, Indonesia. The implementation of distance learning commonly utilizes a learning management system (LMS) as the primary learning media, such as Moodle. It encourages a shift in students monitoring approach using their behavior in LMS usage. Therefore, an early warning system using students' at-risk behavior in utilizing the LMS is an opportunity to reduce the failure rate. It is the issue raised in this research, which carried out using the following steps: analyze course incompletion pattern, formulate to-be-monitored factors, designing early warning system, and recommending how to apply it. The results form factors related to the LMS usage monitoring and the design of an early warning system for student at-risk. This result may become a tool to prevent course incompletion by showing overview about students’ at-risk situation.
{"title":"Designing Early Warning System for Course Completion using Learning Management System","authors":"A. Rahmah","doi":"10.1109/ICIC54025.2021.9632939","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632939","url":null,"abstract":"The number of failing students in courses incompletion has increased during the implementation of distance learning due to the Covid-19 outbreak. The phenomenon also happened at STT Terpadu Nurul Fikri, a campus majoring in IT and IS, Depok, Indonesia. The implementation of distance learning commonly utilizes a learning management system (LMS) as the primary learning media, such as Moodle. It encourages a shift in students monitoring approach using their behavior in LMS usage. Therefore, an early warning system using students' at-risk behavior in utilizing the LMS is an opportunity to reduce the failure rate. It is the issue raised in this research, which carried out using the following steps: analyze course incompletion pattern, formulate to-be-monitored factors, designing early warning system, and recommending how to apply it. The results form factors related to the LMS usage monitoring and the design of an early warning system for student at-risk. This result may become a tool to prevent course incompletion by showing overview about students’ at-risk situation.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"11 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115324994","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}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632925
Andreas Renaldy Darmawidjaja, E. P. Wibowo
The evolve of communication are growing rapidly, people competing to make communication much better than before, the technology develop is 5G communication, the data rate and speed that 5G given more better than 4G. Every communication technology requires an antenna as a transmitter and receiver to support communication working properly. Antipodal Vivaldi (AVA) is one type of Vivaldi Antenna which is better than other types of Antipodal Vivaldi for 5G communications. It has advantages for the High Gain, improve return loss, high efficiency, enhanced beamwidth, low sidelobe level, (Reduce the sidelobe level and back lobe level), Compact size, Stable radiation pattern, higher Operating Frequencies (1 Ghz to 100 Ghz) and more front to back ratio, which are really suitable for 5G communications. Antipodal Vivaldi Antenna (AVA) work at 2.6 GHz (2.6768 Ghz). The antenna needs to get the Institute of Electrical and Electronics Engineers (IEEE) defined standards which is VSWR 1, reference impedance 100 ohm, and s- parameter below -20dB. The Antipodal Vivaldi Antenna design process is carried out by using math formulation and experimental methods. For simulate and optimizing it, it uses CST studio suite 2018 software. To get the IEEE defined standards, AVA need to be optimize with changing antenna dimension elements (feed line width) and conFig. its slots which can lead to physic optimization. The results obtained in the form of slot antenna that works at a frequency of 2.6 GHz (2.6768 Ghz). The results obtained are the value of slot antenna. VSWR has a value of 1.0508971. The return loss is -32.105013. The gain is about 2.697 dB. The antenna has a line impedance of 100 ohm.
通信的进化正在迅速发展，人们竞相使通信比以前好得多，技术发展是5G通信，5G的数据速率和速度比4G更好。每一种通信技术都需要天线作为发射器和接收器来支持通信的正常工作。对映维瓦尔第(AVA)天线是5G通信中比其他对映维瓦尔第天线性能更好的一种。它具有高增益、改善回波损耗、高效率、增强波束宽度、低旁瓣电平(降低旁瓣电平和后瓣电平)、体积小、辐射方向图稳定、工作频率高(1 Ghz至100 Ghz)、前后比大等优点，真正适合5G通信。AVA (Antipodal Vivaldi Antenna)工作频率为2.6 GHz (2.6768 GHz)。该天线需要达到电气和电子工程师协会(IEEE)定义的标准，即VSWR为1，参考阻抗为100欧姆，s-参数低于- 20db。采用数学公式和实验方法进行了对映维瓦尔第天线的设计过程。为了模拟和优化它，它使用CST studio suite 2018软件。为了获得IEEE定义的标准，需要通过改变天线尺寸元素(馈线宽度)和配置来优化AVA。它的插槽可以导致物理优化。得到的结果是工作在2.6 GHz (2.6768 GHz)频率的槽形天线。所得结果为槽形天线的数值。VSWR的值为1.0508971。回波损耗为-32.105013。增益约为2.697 dB。天线的线阻抗为100欧姆。
{"title":"Design and Simulation of Antipodal Vivaldi Antenna (AVA) AT 2.6 GHz For 5G Communication Optimation","authors":"Andreas Renaldy Darmawidjaja, E. P. Wibowo","doi":"10.1109/ICIC54025.2021.9632925","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632925","url":null,"abstract":"The evolve of communication are growing rapidly, people competing to make communication much better than before, the technology develop is 5G communication, the data rate and speed that 5G given more better than 4G. Every communication technology requires an antenna as a transmitter and receiver to support communication working properly. Antipodal Vivaldi (AVA) is one type of Vivaldi Antenna which is better than other types of Antipodal Vivaldi for 5G communications. It has advantages for the High Gain, improve return loss, high efficiency, enhanced beamwidth, low sidelobe level, (Reduce the sidelobe level and back lobe level), Compact size, Stable radiation pattern, higher Operating Frequencies (1 Ghz to 100 Ghz) and more front to back ratio, which are really suitable for 5G communications. Antipodal Vivaldi Antenna (AVA) work at 2.6 GHz (2.6768 Ghz). The antenna needs to get the Institute of Electrical and Electronics Engineers (IEEE) defined standards which is VSWR 1, reference impedance 100 ohm, and s- parameter below -20dB. The Antipodal Vivaldi Antenna design process is carried out by using math formulation and experimental methods. For simulate and optimizing it, it uses CST studio suite 2018 software. To get the IEEE defined standards, AVA need to be optimize with changing antenna dimension elements (feed line width) and conFig. its slots which can lead to physic optimization. The results obtained in the form of slot antenna that works at a frequency of 2.6 GHz (2.6768 Ghz). The results obtained are the value of slot antenna. VSWR has a value of 1.0508971. The return loss is -32.105013. The gain is about 2.697 dB. The antenna has a line impedance of 100 ohm.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114971203","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}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632862
Mohamad Ikbal Albana, A. Baidun, Rena Latifa, M. Rahmah, Agus Nugraha, Gefarina Djohan
Customer loyalty of Online transportation application based on information technology increased during the Covid-19 pandemic. Customers continue to use Online transportation application in carrying out daily mobility to avoid exposure to the Covid-19 virus. The research aims to prove the influence of brand trust, service quality, and religiosity on customer loyalty of Online transportation application based on information technology. This research uses a quantitative approach. The study sample amounted to 303 users of Online transportation application Sampling technique application service using accidental sampling. Instruments measuring customer loyalty using measuring instruments from Mcmullan and Gillmore [14], Brand Trust Scale (BTS) from Delgado-Bellester [3], Service quality (Servqual) developed parasuraman [17], and The Centrality of Religiousness Scale (CRS) developed by Huber and Huber [8]. Data analysis techniques use multiple regressions. The results of the analysis proved that the null hypothesis was rejected, meaning that there was a significant influence on brand trust, service quality, and religiosity on customer loyalty with a significance level of 0.000 (P<0.05) and R square showing 0.580 or 58 %. Based on regression coefficients show that brand reliability, responsiveness and public practices significantly affect customer loyalty of Gojek-based information technology-based application services.
{"title":"The Predictor of Costumer Loyalty of Online-Based Transportation Application","authors":"Mohamad Ikbal Albana, A. Baidun, Rena Latifa, M. Rahmah, Agus Nugraha, Gefarina Djohan","doi":"10.1109/ICIC54025.2021.9632862","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632862","url":null,"abstract":"Customer loyalty of Online transportation application based on information technology increased during the Covid-19 pandemic. Customers continue to use Online transportation application in carrying out daily mobility to avoid exposure to the Covid-19 virus. The research aims to prove the influence of brand trust, service quality, and religiosity on customer loyalty of Online transportation application based on information technology. This research uses a quantitative approach. The study sample amounted to 303 users of Online transportation application Sampling technique application service using accidental sampling. Instruments measuring customer loyalty using measuring instruments from Mcmullan and Gillmore [14], Brand Trust Scale (BTS) from Delgado-Bellester [3], Service quality (Servqual) developed parasuraman [17], and The Centrality of Religiousness Scale (CRS) developed by Huber and Huber [8]. Data analysis techniques use multiple regressions. The results of the analysis proved that the null hypothesis was rejected, meaning that there was a significant influence on brand trust, service quality, and religiosity on customer loyalty with a significance level of 0.000 (P<0.05) and R square showing 0.580 or 58 %. Based on regression coefficients show that brand reliability, responsiveness and public practices significantly affect customer loyalty of Gojek-based information technology-based application services.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131179388","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}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632904
Yosua Bisma Putrapratama, William Adjandra, Adhitia Wiraguna, D. I. Sensuse, Nadya Safitri
The software development process often faces some problems. In finding solutions for the problems, software development teams often seek previous knowledge. The main problem from the case study is searching for previous knowledge that fits the context of the problem at hand. In fact, the search process to find previous knowledge took a long time and the results are not appropriate. The methodology used in this research is qualitative research using Systematic Literature Review, data triangulation, and Design Sprint. This research provides a system design for the reuse of knowledge that results from associations between best practices and practices in organizations. The proposed system has several features to support better knowledge reuse processes in PT XYZ. The features of the proposed system are dashboard, search knowledge, knowledge detail, knowledge graph, create knowledge, and profile.
{"title":"Knowledge Reuse Evaluation in Software Development: A Case Study on a Startup Company","authors":"Yosua Bisma Putrapratama, William Adjandra, Adhitia Wiraguna, D. I. Sensuse, Nadya Safitri","doi":"10.1109/ICIC54025.2021.9632904","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632904","url":null,"abstract":"The software development process often faces some problems. In finding solutions for the problems, software development teams often seek previous knowledge. The main problem from the case study is searching for previous knowledge that fits the context of the problem at hand. In fact, the search process to find previous knowledge took a long time and the results are not appropriate. The methodology used in this research is qualitative research using Systematic Literature Review, data triangulation, and Design Sprint. This research provides a system design for the reuse of knowledge that results from associations between best practices and practices in organizations. The proposed system has several features to support better knowledge reuse processes in PT XYZ. The features of the proposed system are dashboard, search knowledge, knowledge detail, knowledge graph, create knowledge, and profile.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131589308","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}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632973
M. Hasibuan, Nathan Nurdadyansyah, Muhammad Yogi, Arkham Muhammad Naufal, Ana Sabhana Azmy, Cucu Nurhayati
The COVID-19 pandemic has changed the way people live throughout the world. One way to spread the COVID-19 virus is through crowds that can be found in shopping centres, such as malls. Mall control during the pandemic is very difficult if you do not use information technology because it can cause crowds. This study proposes to build a smart mall model that is able to overcome the crowd. A Smart Mall consists of 3 features: smart booking, smart tracking, and smart payments. The booking feature provides booking services to visitors before coming to the mall, which is to ensure the existence of the mall according to its capacity. The tracking feature provides monitoring of the presence of mall visitors to provide directions and monitor visitors within the given time limit, and the payments feature provides a non-cash payment method to create a sense of security from cash transactions.
{"title":"Smart Mall to Reduce Crowds During the COVID-19 Pandemic","authors":"M. Hasibuan, Nathan Nurdadyansyah, Muhammad Yogi, Arkham Muhammad Naufal, Ana Sabhana Azmy, Cucu Nurhayati","doi":"10.1109/ICIC54025.2021.9632973","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632973","url":null,"abstract":"The COVID-19 pandemic has changed the way people live throughout the world. One way to spread the COVID-19 virus is through crowds that can be found in shopping centres, such as malls. Mall control during the pandemic is very difficult if you do not use information technology because it can cause crowds. This study proposes to build a smart mall model that is able to overcome the crowd. A Smart Mall consists of 3 features: smart booking, smart tracking, and smart payments. The booking feature provides booking services to visitors before coming to the mall, which is to ensure the existence of the mall according to its capacity. The tracking feature provides monitoring of the presence of mall visitors to provide directions and monitor visitors within the given time limit, and the payments feature provides a non-cash payment method to create a sense of security from cash transactions.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"250 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132457603","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}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632932
R. E. Indrajit, Marsetio Marsetio, R. Gultom, P. Widodo, R. W. Putro, Pantja Djati, Siswo Hadi, B. Pramono, L. Simbolon
The pendulum of threats to national defense has shifted to the cyber realm. War no longer uses a conventional approach based on physical attacks but has shifted to a virtual activity in cyberspace. The occurrence of cyber wars between various countries shows how serious this phenomenon is in the modern age. This research focuses on studying various cross-border cyber-attacks that have occurred with the aim of categorizing them based on their common characteristics. The methodology used is a literature study of various case studies that occurred in the past. Approximately thirty publications containing case reports related to the main data in the study. The results show that there are nine types of cyber threat categories to state land and national security.
{"title":"The Taxonomy of Cyber Threats to National Defense and Security","authors":"R. E. Indrajit, Marsetio Marsetio, R. Gultom, P. Widodo, R. W. Putro, Pantja Djati, Siswo Hadi, B. Pramono, L. Simbolon","doi":"10.1109/ICIC54025.2021.9632932","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632932","url":null,"abstract":"The pendulum of threats to national defense has shifted to the cyber realm. War no longer uses a conventional approach based on physical attacks but has shifted to a virtual activity in cyberspace. The occurrence of cyber wars between various countries shows how serious this phenomenon is in the modern age. This research focuses on studying various cross-border cyber-attacks that have occurred with the aim of categorizing them based on their common characteristics. The methodology used is a literature study of various case studies that occurred in the past. Approximately thirty publications containing case reports related to the main data in the study. The results show that there are nine types of cyber threat categories to state land and national security.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130810153","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}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632907
Bayu Yasa Wedha, Daniel Avian Karjadi, Erick Dazki, Handri Santoso, R. E. Indrajit
Recent years, Internet of Things (IoT) provides new business opportunity in terms of cost reduction, increase in productivity or efficiency to organization. In the context of supply chains, IoT helps trucking logistics to track their assets' health, location, utilization, efficiency, and visibility. Indonesia, as the largest archipelago country in the world, mainly relying on truck fleet as its main logistics transportation. Thus, IoT adoption could bring Indonesia's growth and safety in the country. Based on logistic performance index 2018, Indonesia position is 46th in logistic management. One of the parameters is technology adoption especially IoT to improve Logistic company, there are limited study that explore the adoption of IoT in trucking logistics. In this study, companies use IoT technology in their trucks, based on Industry types and spatial distribution is analyzed. Factors that could affect the IoT adoption are being discussed. The IoT adoption level obtained from experts' interview. And then used to analyze 161 company adoption across Indonesia. The result shows that IoT adoption level is between 2 and 3 in the scale of 5 with the highest adoption in Cement industry. Industry that operates in Java and Sumatera islands tend to be more mature on IoT adoption level than other islands for Chemical and Cement industry respectively. Government can make use of this study's result to make policy that cover more wider industry types and location to improve the overall trucking logistics performance.
{"title":"Analysis of IoT adoption on Trucking Logistics in Various Industry in Indonesia","authors":"Bayu Yasa Wedha, Daniel Avian Karjadi, Erick Dazki, Handri Santoso, R. E. Indrajit","doi":"10.1109/ICIC54025.2021.9632907","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632907","url":null,"abstract":"Recent years, Internet of Things (IoT) provides new business opportunity in terms of cost reduction, increase in productivity or efficiency to organization. In the context of supply chains, IoT helps trucking logistics to track their assets' health, location, utilization, efficiency, and visibility. Indonesia, as the largest archipelago country in the world, mainly relying on truck fleet as its main logistics transportation. Thus, IoT adoption could bring Indonesia's growth and safety in the country. Based on logistic performance index 2018, Indonesia position is 46th in logistic management. One of the parameters is technology adoption especially IoT to improve Logistic company, there are limited study that explore the adoption of IoT in trucking logistics. In this study, companies use IoT technology in their trucks, based on Industry types and spatial distribution is analyzed. Factors that could affect the IoT adoption are being discussed. The IoT adoption level obtained from experts' interview. And then used to analyze 161 company adoption across Indonesia. The result shows that IoT adoption level is between 2 and 3 in the scale of 5 with the highest adoption in Cement industry. Industry that operates in Java and Sumatera islands tend to be more mature on IoT adoption level than other islands for Chemical and Cement industry respectively. Government can make use of this study's result to make policy that cover more wider industry types and location to improve the overall trucking logistics performance.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114214228","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}
Pub Date : 2021-11-03DOI: 10.1109/ICIC54025.2021.9632894
Hanny Haryanto, Aripin, Acun Kardianawati, Umi Rosyidah, E. Z. Astuti, Erlin Dolphina
Interactivity and experience as the main characteristics of serious game has made it considered one of the most promising learning tools. Those characteristics supported mainly by game activity. Therefore, activity design is one of the most important element in developing serious game. One of the activity design concepts is to use Appreciative Learning, which consists of the stages of Discovery, Dream, Design and Destiny. The activity of exploration in Discovery stage is the main activity which is dominated by search and exploration. Because it is a search and exploration activity, it takes a long time and contains uncertainty in achievement. Dynamic rewards are needed to support the continuity of this Discovery activity. A good reward keeps the player’s focus on searching and exploration by providing indicators of achievement. This study uses fuzzy logic to form dynamic reward behavior in Discovery activities. Fuzzy logic considered one of the artificial intelligence methods that is suitable for games because of lightweight computation and could produce expressive AI behavior. The criteria used as input are the percentage of exploration and time, which will generate dynamic rewards for Discovery activities. The results of this study, fuzzy logic can produce three levels of variance of reward.
{"title":"Fuzzy-based Dynamic Reward for Discovery Activity in Appreciative Serious Game","authors":"Hanny Haryanto, Aripin, Acun Kardianawati, Umi Rosyidah, E. Z. Astuti, Erlin Dolphina","doi":"10.1109/ICIC54025.2021.9632894","DOIUrl":"https://doi.org/10.1109/ICIC54025.2021.9632894","url":null,"abstract":"Interactivity and experience as the main characteristics of serious game has made it considered one of the most promising learning tools. Those characteristics supported mainly by game activity. Therefore, activity design is one of the most important element in developing serious game. One of the activity design concepts is to use Appreciative Learning, which consists of the stages of Discovery, Dream, Design and Destiny. The activity of exploration in Discovery stage is the main activity which is dominated by search and exploration. Because it is a search and exploration activity, it takes a long time and contains uncertainty in achievement. Dynamic rewards are needed to support the continuity of this Discovery activity. A good reward keeps the player’s focus on searching and exploration by providing indicators of achievement. This study uses fuzzy logic to form dynamic reward behavior in Discovery activities. Fuzzy logic considered one of the artificial intelligence methods that is suitable for games because of lightweight computation and could produce expressive AI behavior. The criteria used as input are the percentage of exploration and time, which will generate dynamic rewards for Discovery activities. The results of this study, fuzzy logic can produce three levels of variance of reward.","PeriodicalId":189541,"journal":{"name":"2021 Sixth International Conference on Informatics and Computing (ICIC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115154757","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}
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