Pub Date : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699202
A. M. Sundjaja, Dadik Shukurnianto, Ary Putra Rulvi, Raditya Hardianto Putra
The use of online marketplace in Indonesia is increasing. The online marketplace makes it easy for baristas and homebrewers to find and buy high-quality coffee beans. This study aims to examine the factors that influence the satisfaction of coffee beans buyers in the online marketplace in Indonesia. This study uses a quantitative approach. The researcher modifies the research model from the information system success model developed by DeLone & McLean and the Technology Acceptance Model (TAM). The variables in this study consist of Information Quality, Service Quality, Virtual Community Quality, Design, Security, Trust, Perceived Usefulness, Perceived Ease of Use, Usage Behavior, User Satisfaction. The number of samples in this study was 393 online marketplace users who had purchased coffee beans. The data analysis technique is Structural Equation Modeling using AMOS. The results of this study indicate that the Usage Behavior variable has a significant effect on User Satisfaction. In addition, Information Quality and Service Quality do not affect Usage Behavior and User Satisfaction. This study also shows that Trust, Perceived Usefulness, and Perceived Ease of Use significantly influence Usage Behavior. Virtual Community Quality and Security have a significant influence on Trust. In addition, security has a substantial effect on Perceived Usefulness. Finally, Design has a substantial impact on Perceived Ease of Use.
{"title":"Factors Affecting Buyer Satisfaction of Coffee Beans at the Online Marketplace in Indonesia","authors":"A. M. Sundjaja, Dadik Shukurnianto, Ary Putra Rulvi, Raditya Hardianto Putra","doi":"10.1109/ICIMCIS53775.2021.9699202","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699202","url":null,"abstract":"The use of online marketplace in Indonesia is increasing. The online marketplace makes it easy for baristas and homebrewers to find and buy high-quality coffee beans. This study aims to examine the factors that influence the satisfaction of coffee beans buyers in the online marketplace in Indonesia. This study uses a quantitative approach. The researcher modifies the research model from the information system success model developed by DeLone & McLean and the Technology Acceptance Model (TAM). The variables in this study consist of Information Quality, Service Quality, Virtual Community Quality, Design, Security, Trust, Perceived Usefulness, Perceived Ease of Use, Usage Behavior, User Satisfaction. The number of samples in this study was 393 online marketplace users who had purchased coffee beans. The data analysis technique is Structural Equation Modeling using AMOS. The results of this study indicate that the Usage Behavior variable has a significant effect on User Satisfaction. In addition, Information Quality and Service Quality do not affect Usage Behavior and User Satisfaction. This study also shows that Trust, Perceived Usefulness, and Perceived Ease of Use significantly influence Usage Behavior. Virtual Community Quality and Security have a significant influence on Trust. In addition, security has a substantial effect on Perceived Usefulness. Finally, Design has a substantial impact on Perceived Ease of Use.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126285435","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 : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699357
E. T. Tosida, Irma Anggraeni, Suci Putri Utami, Indra Permana Solihin
Education is a very important element in social life to support the formation of individual character. The implementation of data mining in the education sector shows an increasing trend. The purpose of this study is to implement strengthening job satisfaction for the teaching profession using the K-medoid and Hierarchical Clustering method. Cluster analysis was carried out on five main factors including salary, promotion, supervisor's supervision, relationships with colleagues and the teaching profession. Tests were carried out on 136 respondents and 39 questions devided into 5 factors. The trial of determining the number of clusters was carried out on 3 trials ($mathrm{K}=2, mathrm{K}=3$ and $mathrm{K}=4$). The optimal cluster value is obtained at $mathrm{K}=3$ with a Davies Bouldin index (DBI) of 2,823 for the K-Medoid method and $mathrm{K}=4$ with a DBI value of 1,415 for the Hierarchical method. The cluster results show that the priority of strengthening teacher professional satisfaction needs to be increased on the salary indicator by 50% for the K-Medoid method and 65% for the Hierarchical method. While the results of the percentage of priorities that need to be maintained are the indicators of relationships with colleagues by 10% in the K-Medoid method and 5% in the Hierarchical method.
{"title":"Implementation of K-Medoid and Hierachical Clustering for Strengthening Job Satisfaction on The Teacher Profession","authors":"E. T. Tosida, Irma Anggraeni, Suci Putri Utami, Indra Permana Solihin","doi":"10.1109/ICIMCIS53775.2021.9699357","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699357","url":null,"abstract":"Education is a very important element in social life to support the formation of individual character. The implementation of data mining in the education sector shows an increasing trend. The purpose of this study is to implement strengthening job satisfaction for the teaching profession using the K-medoid and Hierarchical Clustering method. Cluster analysis was carried out on five main factors including salary, promotion, supervisor's supervision, relationships with colleagues and the teaching profession. Tests were carried out on 136 respondents and 39 questions devided into 5 factors. The trial of determining the number of clusters was carried out on 3 trials ($mathrm{K}=2, mathrm{K}=3$ and $mathrm{K}=4$). The optimal cluster value is obtained at $mathrm{K}=3$ with a Davies Bouldin index (DBI) of 2,823 for the K-Medoid method and $mathrm{K}=4$ with a DBI value of 1,415 for the Hierarchical method. The cluster results show that the priority of strengthening teacher professional satisfaction needs to be increased on the salary indicator by 50% for the K-Medoid method and 65% for the Hierarchical method. While the results of the percentage of priorities that need to be maintained are the indicators of relationships with colleagues by 10% in the K-Medoid method and 5% in the Hierarchical method.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126501374","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 : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699130
S. Prasetyaningtyas, A. Prayogo
Cyberbullying has gotten much attention lately; however, research on cyberbullying in the online gaming environment is relatively new and limited. Besides, existing research essentially centers around teenagers, leaving a gap for investigating cyberbullying among adult gamers. The causes of cyberbullying are still unclear and cannot simply link to violent video games. Therefore, to develop strategies to mitigate cyberbullying in the online gaming environment, we need to understand better the causes of cyberbullying in this environment. This research aims to investigate gamer perceptions regarding the causes of cyberbullying in an online multi-player gaming environment and the relationship between cyberbullying, Motivation, Performance, and satisfaction in an online gaming environment. One hundred eleven respondents answered the questionnaire related to the cause of cyberbullying and its effect on players' Motivation, Performance, and satisfaction. SEM-PLS was used to analyze the data. It showed that cyberbullying did not affect the players' Motivation and Performance, while player motivation and Performance affecting player satisfaction.
{"title":"The Effect of Cyberbullying in Multi-Player Online Gaming Environments: Gamer Perceptions","authors":"S. Prasetyaningtyas, A. Prayogo","doi":"10.1109/ICIMCIS53775.2021.9699130","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699130","url":null,"abstract":"Cyberbullying has gotten much attention lately; however, research on cyberbullying in the online gaming environment is relatively new and limited. Besides, existing research essentially centers around teenagers, leaving a gap for investigating cyberbullying among adult gamers. The causes of cyberbullying are still unclear and cannot simply link to violent video games. Therefore, to develop strategies to mitigate cyberbullying in the online gaming environment, we need to understand better the causes of cyberbullying in this environment. This research aims to investigate gamer perceptions regarding the causes of cyberbullying in an online multi-player gaming environment and the relationship between cyberbullying, Motivation, Performance, and satisfaction in an online gaming environment. One hundred eleven respondents answered the questionnaire related to the cause of cyberbullying and its effect on players' Motivation, Performance, and satisfaction. SEM-PLS was used to analyze the data. It showed that cyberbullying did not affect the players' Motivation and Performance, while player motivation and Performance affecting player satisfaction.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128176475","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 : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699219
I. W. W. Pradnyana, A. Fahmi, Ati Zaidiah, Muhammad Bayu Wibisono, B. T. Wahyono, R. Purabaya
BUMDES (village-owned enterprises) is an organization formed by the village government and the community managing the organization in accordance with the needs and conditions of the village economy. BUMDes Cahaya Buana Paku has a waste pick-up service. The waste management carried out is to pick up waste of every society and place in the final disposal site (TPA). The aim of the author is to build a waste pick-up application that will be managed by BUMDes, with the hope of this system can help the pick-up process and make the industry a new target in waste pick-up. System development is done by Agile and Extreme Programming methods where this method is done by emphasizing communication so that it is flexible to rapid changes in the system. This application is made using Android Studio and Kotlin programming language and uses Firebase for system data management and system testing is done by the Black-Box testing method. It is hoped that the results of this study can help the pick-up process and advance the village by following technology developments.
村办企业是由村政府和社区根据村经济的需要和条件组成的组织。BUMDes Cahaya Buana Paku有垃圾收集服务。所进行的废物管理是将每个社会的废物收集起来并放置在最终处置地点(TPA)。作者的目的是建立一个由BUMDes管理的垃圾拾取应用程序，希望该系统可以帮助拾取过程，使行业成为垃圾拾取的新目标。系统开发是由敏捷和极限编程方法完成的，这种方法是通过强调通信来完成的，这样它就可以灵活地应对系统中的快速变化。本应用使用Android Studio和Kotlin编程语言开发，使用Firebase进行系统数据管理，采用黑盒测试方法进行系统测试。希望这项研究的结果可以帮助收集过程，并通过技术发展推动村庄的发展。
{"title":"Design and Build an Android-Based Waste Pickup Information System Using the Extreme Programming Method (Case Study: BUMDes Cahaya Buana Paku)","authors":"I. W. W. Pradnyana, A. Fahmi, Ati Zaidiah, Muhammad Bayu Wibisono, B. T. Wahyono, R. Purabaya","doi":"10.1109/ICIMCIS53775.2021.9699219","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699219","url":null,"abstract":"BUMDES (village-owned enterprises) is an organization formed by the village government and the community managing the organization in accordance with the needs and conditions of the village economy. BUMDes Cahaya Buana Paku has a waste pick-up service. The waste management carried out is to pick up waste of every society and place in the final disposal site (TPA). The aim of the author is to build a waste pick-up application that will be managed by BUMDes, with the hope of this system can help the pick-up process and make the industry a new target in waste pick-up. System development is done by Agile and Extreme Programming methods where this method is done by emphasizing communication so that it is flexible to rapid changes in the system. This application is made using Android Studio and Kotlin programming language and uses Firebase for system data management and system testing is done by the Black-Box testing method. It is hoped that the results of this study can help the pick-up process and advance the village by following technology developments.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"14 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126189666","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 : 2021-10-28DOI: 10.1109/ICIMCIS53775.2021.9699189
Yuni Widiastiwi, Dewi Hajar
Lung cancer is one of the deadliest diseases in the world after breast cancer, with a prevalence rate of 11.4%. This research aims to predict the level of accuracy of whether a person is diagnosed with suspected cancer or not. The method used in this study uses a backpropagation neural network using a combination of the learning rate, hidden layer, and epoch values. The results showed that the learning rate value of 0.1, the value of hidden layer 100, and epoch 1000 resulted in predictions with the best accuracy value of 97%.
{"title":"Effect Of The Learning Rate, Hidden Layer, And Epoch In Lung Cancer Prediction","authors":"Yuni Widiastiwi, Dewi Hajar","doi":"10.1109/ICIMCIS53775.2021.9699189","DOIUrl":"https://doi.org/10.1109/ICIMCIS53775.2021.9699189","url":null,"abstract":"Lung cancer is one of the deadliest diseases in the world after breast cancer, with a prevalence rate of 11.4%. This research aims to predict the level of accuracy of whether a person is diagnosed with suspected cancer or not. The method used in this study uses a backpropagation neural network using a combination of the learning rate, hidden layer, and epoch values. The results showed that the learning rate value of 0.1, the value of hidden layer 100, and epoch 1000 resulted in predictions with the best accuracy value of 97%.","PeriodicalId":250460,"journal":{"name":"2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115183844","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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