Pub Date : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274649
Mirzanur Hidayat, Muhammad Faruq Nuruddinsyah
In this paper, we perform a practical explanation of backward sign propagation in quantum computing. In our work, a 2-qubit quantum state is applied on the CNOT gate. The first qubit acts as a target qubit and the second qubit behaves as a control qubit. In this 2-qubit system, a phase error occurs on the target qubit. Our work is in the form of mathematical calculations, i.e. the calculation of the state, the density operator, the trace, and the Bloch vector of our quantum system. We also design its quantum circuit. The circuit is executed on IBM Qiskit and IBM Q Experience. As a result, we show the backward sign propagation occurs in separable and pure quantum state with the Hadamard basis state of the target qubit for any state of the control qubit.
{"title":"A Practical Explanation of Backward Sign Propagation in Quantum Computing","authors":"Mirzanur Hidayat, Muhammad Faruq Nuruddinsyah","doi":"10.1109/IC2IE50715.2020.9274649","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274649","url":null,"abstract":"In this paper, we perform a practical explanation of backward sign propagation in quantum computing. In our work, a 2-qubit quantum state is applied on the CNOT gate. The first qubit acts as a target qubit and the second qubit behaves as a control qubit. In this 2-qubit system, a phase error occurs on the target qubit. Our work is in the form of mathematical calculations, i.e. the calculation of the state, the density operator, the trace, and the Bloch vector of our quantum system. We also design its quantum circuit. The circuit is executed on IBM Qiskit and IBM Q Experience. As a result, we show the backward sign propagation occurs in separable and pure quantum state with the Hadamard basis state of the target qubit for any state of the control qubit.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132092069","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274621
A. D. Alexander, Ratna Salkiawati, Hendarman Lubis, Fathur Rahman, Herlawati Herlawati, R. Handayanto
Student attendance record has an important role in the educational process. Universitas Bhayangkara Jakarta Raya, as a case study, uses attendance record as the factor for final grade calculation. Many attendance recording systems were developed using biometrics, e.g. face recognition, iris recognition, and fingerprint recognition. In this study, face recognition was proposed since the face cannot be duplicated and can eliminate fraud committed by students. In addition, this contactless method could minimize the risk of COVID-19 spread with some additional treatments. The local binary pattern (LBP) was proposed in this study. This method has the ability to describe the texture and shape of an image by dividing the image into small portions of feature extraction. The result showed that the proposed system can identify students with 86% accuracy.
学生出勤记录在教育过程中具有重要的作用。雅加达大学(Universitas Bhayangkara Jakarta Raya)作为一个案例研究，将出勤记录作为最终成绩计算的因素。许多考勤系统采用生物识别技术开发，如面部识别、虹膜识别和指纹识别。在本研究中，由于人脸不能被复制，可以消除学生的欺诈行为，因此提出了人脸识别。此外，这种非接触式方法可以通过一些额外的治疗来最大限度地降低COVID-19传播的风险。本研究提出了局部二元模式(LBP)。该方法通过将图像划分为特征提取的小部分来描述图像的纹理和形状。结果表明，该系统识别学生的准确率为86%。
{"title":"Local Binary Pattern Histogram for Face Recognition in Student Attendance System","authors":"A. D. Alexander, Ratna Salkiawati, Hendarman Lubis, Fathur Rahman, Herlawati Herlawati, R. Handayanto","doi":"10.1109/IC2IE50715.2020.9274621","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274621","url":null,"abstract":"Student attendance record has an important role in the educational process. Universitas Bhayangkara Jakarta Raya, as a case study, uses attendance record as the factor for final grade calculation. Many attendance recording systems were developed using biometrics, e.g. face recognition, iris recognition, and fingerprint recognition. In this study, face recognition was proposed since the face cannot be duplicated and can eliminate fraud committed by students. In addition, this contactless method could minimize the risk of COVID-19 spread with some additional treatments. The local binary pattern (LBP) was proposed in this study. This method has the ability to describe the texture and shape of an image by dividing the image into small portions of feature extraction. The result showed that the proposed system can identify students with 86% accuracy.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132116661","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274659
Khairiyah Rizkiyah, Amaliah Khoirun Nisyak, T. Raharjo
In 2019, one of the government organizations in Indonesia conducted several agile-based system development projects outsourced. However, some of the projects claimed to be failed regarding requirement issues. For government projects, this failure became a state loss. This research aims to analyze the practical requirements issue or problem in the failed project from an agile perspective, to avoid the same loss in the future. A systematic literature review conducted and matched with official documents, direct observation and correspondence, results in the identification of 25 factors grouped into 7 categories. The findings show that requirement changing, over-scooping, and communication become the main challenges in the case study. Agile best practice solutions were offered for each factor and challenge, along with a comparison view between the provider and government organization. Although these findings cannot be claimed generally, it can contribute as the requirement issues to beware and mitigated in an agile-based government outsourcing project.
{"title":"Agile-Based Requirement Challenges of Government Outsourcing Project: A Case Study","authors":"Khairiyah Rizkiyah, Amaliah Khoirun Nisyak, T. Raharjo","doi":"10.1109/IC2IE50715.2020.9274659","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274659","url":null,"abstract":"In 2019, one of the government organizations in Indonesia conducted several agile-based system development projects outsourced. However, some of the projects claimed to be failed regarding requirement issues. For government projects, this failure became a state loss. This research aims to analyze the practical requirements issue or problem in the failed project from an agile perspective, to avoid the same loss in the future. A systematic literature review conducted and matched with official documents, direct observation and correspondence, results in the identification of 25 factors grouped into 7 categories. The findings show that requirement changing, over-scooping, and communication become the main challenges in the case study. Agile best practice solutions were offered for each factor and challenge, along with a comparison view between the provider and government organization. Although these findings cannot be claimed generally, it can contribute as the requirement issues to beware and mitigated in an agile-based government outsourcing project.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114073747","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274572
Yuana Ratna Sari, E. C. Djamal, Fikri Nugraha
Rainfall is influenced by several factors, such as air temperature, humidity, and wind speed. But at this time, the weather conditions in the territory of Indonesia are increasingly uncertain, making them difficult to predict. The machine can learn the prediction of rainfall. This research proposed methods to predict rainfall within 14 days using ID Convolutional Neural Networks. Weather data were obtained from a weather observation station on Meteorological, Climatological, and Geophysical Agency (BMKG) website for ten years. First, data will be interpolated to fill in the missing value. Then the data will be segmented by overlapping and normalized to generalize the value of climate data to 0-1, including taking overlapping data to be an advantage in providing a linkage of sequential data values. Then the training and prediction process uses ID Convolutional Neural Networks. The accuracy generated using the Adam optimization model for testing data is 81.46%, and Loss is 0.0018.
{"title":"Daily Rainfall Prediction Using One Dimensional Convolutional Neural Networks","authors":"Yuana Ratna Sari, E. C. Djamal, Fikri Nugraha","doi":"10.1109/IC2IE50715.2020.9274572","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274572","url":null,"abstract":"Rainfall is influenced by several factors, such as air temperature, humidity, and wind speed. But at this time, the weather conditions in the territory of Indonesia are increasingly uncertain, making them difficult to predict. The machine can learn the prediction of rainfall. This research proposed methods to predict rainfall within 14 days using ID Convolutional Neural Networks. Weather data were obtained from a weather observation station on Meteorological, Climatological, and Geophysical Agency (BMKG) website for ten years. First, data will be interpolated to fill in the missing value. Then the data will be segmented by overlapping and normalized to generalize the value of climate data to 0-1, including taking overlapping data to be an advantage in providing a linkage of sequential data values. Then the training and prediction process uses ID Convolutional Neural Networks. The accuracy generated using the Adam optimization model for testing data is 81.46%, and Loss is 0.0018.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116377464","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274676
M. Y. Farabi, Andita Dwiyoga Tahitoe, D. I. Sensuse, Sofian Lusa, Damayanti Elisabeth, Nadya Safitri
The implementation of large-scale social restrictions (PSBB) adds to labor problems in Jakarta. This can be seen from the increase in the number of complaints reported in the Jakarta Special Capital Region Department of Manpower, Transmigration and Energy (DTKTE)’s Citizen Relation Management (CRM) almost ten times from 38 complaint reports in February 2020 to 370 complaint reports in March 2020. The limited number of functional labor inspectors that exist makes DTKTE assign tasks to employees who are not in their fields to make PSBB successful. Instructions for applying to work from home (WFH) further limit the collaboration between employees. The government is forced to seek new ways to deliver its public service to the citizens. Knowledge Management (KM) can help an organization improve its service and respond to their customer faster. KM is needed in two aspects to respond to the limitations because of the pandemic, such as to respond to customer and to help employees know how to undertake their jobs. KM can help collaboration better in the response of WFH. This study conducted to enhance the CRM service in DTKTE by improving the KM processes. This study used a quantitative and qualitative description approach methodology. The Becerra-Fernandez & Sabherwal KM contingency view approach was used because it recommends the KM solutions by considering existing conditions in the organization to determine the most beneficial KM solutions to be applied based on the conditions. The results were socialization and externalization as the main priority of KM processes to be optimized using employee rotation across departments and cooperative projects for the KM mechanisms, and electronic discussion group, expert system, best practices, and lessons learned databases for the KM technologies. So, by enhancing CRM service with improving KM processes, DTKTE’s echelon’s KPI can be achieved without any delay in the service.
{"title":"Investigation of Important Knowledge Management Mechanism and Technology for Citizen Relation Management Enhancement using Contingency View of Knowledge Management","authors":"M. Y. Farabi, Andita Dwiyoga Tahitoe, D. I. Sensuse, Sofian Lusa, Damayanti Elisabeth, Nadya Safitri","doi":"10.1109/IC2IE50715.2020.9274676","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274676","url":null,"abstract":"The implementation of large-scale social restrictions (PSBB) adds to labor problems in Jakarta. This can be seen from the increase in the number of complaints reported in the Jakarta Special Capital Region Department of Manpower, Transmigration and Energy (DTKTE)’s Citizen Relation Management (CRM) almost ten times from 38 complaint reports in February 2020 to 370 complaint reports in March 2020. The limited number of functional labor inspectors that exist makes DTKTE assign tasks to employees who are not in their fields to make PSBB successful. Instructions for applying to work from home (WFH) further limit the collaboration between employees. The government is forced to seek new ways to deliver its public service to the citizens. Knowledge Management (KM) can help an organization improve its service and respond to their customer faster. KM is needed in two aspects to respond to the limitations because of the pandemic, such as to respond to customer and to help employees know how to undertake their jobs. KM can help collaboration better in the response of WFH. This study conducted to enhance the CRM service in DTKTE by improving the KM processes. This study used a quantitative and qualitative description approach methodology. The Becerra-Fernandez & Sabherwal KM contingency view approach was used because it recommends the KM solutions by considering existing conditions in the organization to determine the most beneficial KM solutions to be applied based on the conditions. The results were socialization and externalization as the main priority of KM processes to be optimized using employee rotation across departments and cooperative projects for the KM mechanisms, and electronic discussion group, expert system, best practices, and lessons learned databases for the KM technologies. So, by enhancing CRM service with improving KM processes, DTKTE’s echelon’s KPI can be achieved without any delay in the service.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128212211","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274613
Agya Java Maulidin, F. Renaldi, F. R. Umbara
Database technology is one of the key elements in every internet-based system. As technology develops and the need for fast and large data exchange arises, a type of NoSQL or unstructured database emerges. SQL and relational databases have table forms, while NoSQL has a format of document-oriented stores. Integration issue came as a challenge when the two different databases were used on the same software. The challenge is increasingly complicated when the database used becomes the resource of online websites. In this study, we present a case which based on 2 online e-Commerce furniture websites that. These both online websites will merge their product data into 1 new database. This research combines two different databases using Web services to retrieve data in each database and a synchronization system for the process of checking and storing data into a new database. All merging components are stored on cloud storage services. Every batching process in the synchronization system is done online and automatically uses Cron. This research provides the results of data integration testing on web services and measurement of the synchronization system execution time. After testing 2 web services used, all passed the data integration test. Then measurements are made on the synchronization system by looking at the displayed execution time. The results of measurements using 100 to 1000 data and different conditions, the execution time obtained from 4 to 5 seconds for each data in the measurement increases to 500 data. The results of this study indicate that the integration of data from 2 different databases using web services and synchronization systems is tolerable and suitable for the amount of data under 10000 data with the condition of the database already filled.
{"title":"Online Integration of SQL and No-SQL Databases using RestAPIs: A Case on 2 furniture e-Commerce Sites","authors":"Agya Java Maulidin, F. Renaldi, F. R. Umbara","doi":"10.1109/IC2IE50715.2020.9274613","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274613","url":null,"abstract":"Database technology is one of the key elements in every internet-based system. As technology develops and the need for fast and large data exchange arises, a type of NoSQL or unstructured database emerges. SQL and relational databases have table forms, while NoSQL has a format of document-oriented stores. Integration issue came as a challenge when the two different databases were used on the same software. The challenge is increasingly complicated when the database used becomes the resource of online websites. In this study, we present a case which based on 2 online e-Commerce furniture websites that. These both online websites will merge their product data into 1 new database. This research combines two different databases using Web services to retrieve data in each database and a synchronization system for the process of checking and storing data into a new database. All merging components are stored on cloud storage services. Every batching process in the synchronization system is done online and automatically uses Cron. This research provides the results of data integration testing on web services and measurement of the synchronization system execution time. After testing 2 web services used, all passed the data integration test. Then measurements are made on the synchronization system by looking at the displayed execution time. The results of measurements using 100 to 1000 data and different conditions, the execution time obtained from 4 to 5 seconds for each data in the measurement increases to 500 data. The results of this study indicate that the integration of data from 2 different databases using web services and synchronization systems is tolerable and suitable for the amount of data under 10000 data with the condition of the database already filled.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121764801","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 : 2020-09-15DOI: 10.1109/ic2ie50715.2020.9274634
{"title":"IC2IE 2020 Committees","authors":"","doi":"10.1109/ic2ie50715.2020.9274634","DOIUrl":"https://doi.org/10.1109/ic2ie50715.2020.9274634","url":null,"abstract":"","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125840358","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274668
Asep Saepul Rohman, B. Mulyanti, R. Pawinanto, A. B. Pantjawati
In this paper, the optimization of microfluidic mixers based on meander was performed. The microfluidic mixer is designed with three different structures developing a mixing of passive micro winding water and varying through three ratios. COMSOL Multi-physics was used to optimize the design. The results show that the meander structure with a geometry ratio of 1: 2 generates the highest mixing index than the other ratios. In addition, the increase in Reynolds number causes the mixing index improvement. The results from this study will benefit the future development of Lab on Chip applications.
{"title":"The optimization of Microfluidic Mixer Based on Meander Structure","authors":"Asep Saepul Rohman, B. Mulyanti, R. Pawinanto, A. B. Pantjawati","doi":"10.1109/IC2IE50715.2020.9274668","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274668","url":null,"abstract":"In this paper, the optimization of microfluidic mixers based on meander was performed. The microfluidic mixer is designed with three different structures developing a mixing of passive micro winding water and varying through three ratios. COMSOL Multi-physics was used to optimize the design. The results show that the meander structure with a geometry ratio of 1: 2 generates the highest mixing index than the other ratios. In addition, the increase in Reynolds number causes the mixing index improvement. The results from this study will benefit the future development of Lab on Chip applications.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124207203","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274671
W. Hidayat, Hilga Damayanti, Luthfiah Setya Pratiwi, T. A. Sutikno, S. Patmanthara
Prayer learning is one of the biggest contributors to improving early childhood memorization skills. Prayer learning for kindergarten students is still monotonous and unattractive. Especially during the C-19 pandemic, students cannot memorize together with their classmates. Therefore, there is a need for learning media that can help students to learn and memorize with fun and interesting. The purpose of developing daily prayer learning media by utilizing Augmented Reality (AR) based flash card images is to make it easier for kindergarten students to learn more interesting and interactive prayers. The flash card is an AR marker that can be scanned through the application and brings up videos and 3D animations of daily prayer learning. That way, students become more interested in having interactive multimedia assistance. Media development is carried out with the waterfall method, which is preceded by the need analysis to trials application. Media testing was carried out by individual testing using a questionnaire with two aspects, namely software engineering aspects and visual communication aspects. Overall, media development is in accordance with user needs and can run well on the Android smartphone platform. Based on the results of the media expert’s validation, this media was declared valid with a value of the software engineering aspect and the visual communication aspect of 86%. In the future, a large-scale trial will be conducted to determine the effectiveness of the learning implementation using this media.
{"title":"Fun Learning with Flashcard using Augmented Reality for Learning Daily Prayers of Kindergarten Students","authors":"W. Hidayat, Hilga Damayanti, Luthfiah Setya Pratiwi, T. A. Sutikno, S. Patmanthara","doi":"10.1109/IC2IE50715.2020.9274671","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274671","url":null,"abstract":"Prayer learning is one of the biggest contributors to improving early childhood memorization skills. Prayer learning for kindergarten students is still monotonous and unattractive. Especially during the C-19 pandemic, students cannot memorize together with their classmates. Therefore, there is a need for learning media that can help students to learn and memorize with fun and interesting. The purpose of developing daily prayer learning media by utilizing Augmented Reality (AR) based flash card images is to make it easier for kindergarten students to learn more interesting and interactive prayers. The flash card is an AR marker that can be scanned through the application and brings up videos and 3D animations of daily prayer learning. That way, students become more interested in having interactive multimedia assistance. Media development is carried out with the waterfall method, which is preceded by the need analysis to trials application. Media testing was carried out by individual testing using a questionnaire with two aspects, namely software engineering aspects and visual communication aspects. Overall, media development is in accordance with user needs and can run well on the Android smartphone platform. Based on the results of the media expert’s validation, this media was declared valid with a value of the software engineering aspect and the visual communication aspect of 86%. In the future, a large-scale trial will be conducted to determine the effectiveness of the learning implementation using this media.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129505705","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274662
Luh Dyah Purnami, A. Agus
Mobile game market is the fast-growing game market and accounted for more than a half of the global game market’s revenue. Because of the promising future many game developers develop monetization strategy to gain more profit from the mobile game market. Thus, by knowing what drivers that influence gamer’s purchase intention and loyalty expected to help game developer to expand their market share. Then, this study uses conclusive descriptive to gain insight by analyzing effect of perceived value toward game loyalty and in-app purchase intention. Moreover, this study also aims to investigate the effect of game loyalty toward user’s intention to make in-app purchase. This research used purposive sampling and involved 240 Mobile Legend gamers in Indonesia. Data is processed with SEM using LISREL software version 8.8. The result shows perceived playfulness, perceived connectedness, perceived good price, and perceived reward are significantly influence mobile game loyalty. While perceived connectedness and perceived good price significantly influence in-app purchase intention. In the other side, Mobile game loyalty also has significant influence on in-app purchase intention. In addition, the result also found that perceived connectedness and perceived reward significantly influence perceived good price.
{"title":"The Effect of Perceived Value and Mobile Game Loyalty on Mobile Game’s In-app Purchase Intention","authors":"Luh Dyah Purnami, A. Agus","doi":"10.1109/IC2IE50715.2020.9274662","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274662","url":null,"abstract":"Mobile game market is the fast-growing game market and accounted for more than a half of the global game market’s revenue. Because of the promising future many game developers develop monetization strategy to gain more profit from the mobile game market. Thus, by knowing what drivers that influence gamer’s purchase intention and loyalty expected to help game developer to expand their market share. Then, this study uses conclusive descriptive to gain insight by analyzing effect of perceived value toward game loyalty and in-app purchase intention. Moreover, this study also aims to investigate the effect of game loyalty toward user’s intention to make in-app purchase. This research used purposive sampling and involved 240 Mobile Legend gamers in Indonesia. Data is processed with SEM using LISREL software version 8.8. The result shows perceived playfulness, perceived connectedness, perceived good price, and perceived reward are significantly influence mobile game loyalty. While perceived connectedness and perceived good price significantly influence in-app purchase intention. In the other side, Mobile game loyalty also has significant influence on in-app purchase intention. In addition, the result also found that perceived connectedness and perceived reward significantly influence perceived good price.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121304683","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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