Pub Date : 2018-10-01DOI: 10.1109/EECSI.2018.8752792
I. K. Raharjana, Ibnu Ibadillah, Purbandini, Eva Hariyanti
This paper explores application of Incident and Service Request Management for academic services. We are using Control Objectives for Information and Related Technologies (COBIT) framework as basis for determining the activities in Incident and Service Request Management. The COBIT itself is an IT governance framework included incident handling and service requests, also providing incident response and service request decisions. The software will be developed as a proof of concept that it brings benefits to academic service operations. For most academic services in university, encountered a problem such as incidents reports or a request for services are not immediately addressed, took a long time to respond, or even lost and left unreadable. It is a good idea to standardize incident management and plant it into academic information systems to enforce its application. In software development, we perform five development stages: requirement analysis, system design, stakeholder confirmation, system development, and system evaluation. In requirement analysis stages, we elicited features from activity describe in COBIT and customize it based on interviews and observation. We design use case diagram, use case scenario and database design in system design stages. In stakeholder confirmation stages, a meeting with the stakeholders held and discuss whether the system complies with the requirements or not. system adaptations are made to answer stakeholders concern. System development is conducted based on confirmed system design. Stakeholder evaluated after they follow the case simulation session. Stakeholders provide an evaluation of the system according to their role, based on their experience when using the system in the simulation session. User experience (UX) aspects are also evaluated based on user’s interaction with the system. User experience results obtained meet all aspects, including useful, usable, desirable, findable, accessible, credible, and valuable. The evaluation with stakeholder demonstrates the improvement of academic service quality and user satisfaction of the proposed Incident and Service Request Management system solution.
{"title":"Incident and Service Request Management for Academic Information System based on COBIT","authors":"I. K. Raharjana, Ibnu Ibadillah, Purbandini, Eva Hariyanti","doi":"10.1109/EECSI.2018.8752792","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752792","url":null,"abstract":"This paper explores application of Incident and Service Request Management for academic services. We are using Control Objectives for Information and Related Technologies (COBIT) framework as basis for determining the activities in Incident and Service Request Management. The COBIT itself is an IT governance framework included incident handling and service requests, also providing incident response and service request decisions. The software will be developed as a proof of concept that it brings benefits to academic service operations. For most academic services in university, encountered a problem such as incidents reports or a request for services are not immediately addressed, took a long time to respond, or even lost and left unreadable. It is a good idea to standardize incident management and plant it into academic information systems to enforce its application. In software development, we perform five development stages: requirement analysis, system design, stakeholder confirmation, system development, and system evaluation. In requirement analysis stages, we elicited features from activity describe in COBIT and customize it based on interviews and observation. We design use case diagram, use case scenario and database design in system design stages. In stakeholder confirmation stages, a meeting with the stakeholders held and discuss whether the system complies with the requirements or not. system adaptations are made to answer stakeholders concern. System development is conducted based on confirmed system design. Stakeholder evaluated after they follow the case simulation session. Stakeholders provide an evaluation of the system according to their role, based on their experience when using the system in the simulation session. User experience (UX) aspects are also evaluated based on user’s interaction with the system. User experience results obtained meet all aspects, including useful, usable, desirable, findable, accessible, credible, and valuable. The evaluation with stakeholder demonstrates the improvement of academic service quality and user satisfaction of the proposed Incident and Service Request Management system solution.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"81 1","pages":"421-425"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78701016","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752791
Aina Musdholifah, Ekki Rinaldi
Mining opinions from Indonesian comments from YouTube videos are required to extract interesting patterns and valuable information from consumer feedback. Opinions can consist of a combination of sentiments and topics from comments. The features considered in the mining of opinion become one of the important keys to getting a quality opinion. This paper proposes to utilize FVEC and TF-IDF features to represent the comments. In addition, two popular machine learning approaches in the field of opinion mining, i.e., SVM and CNN, are explored separately to extract opinions in Indonesian comments of YouTube videos. The experimental results show that the use of FVEC features on SVM and CNN achieves a very significant effect on the quality of opinions obtained, in term of accuracy.
{"title":"FVEC feature and Machine Learning Approach for Indonesian Opinion Mining on YouTube Comments","authors":"Aina Musdholifah, Ekki Rinaldi","doi":"10.1109/EECSI.2018.8752791","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752791","url":null,"abstract":"Mining opinions from Indonesian comments from YouTube videos are required to extract interesting patterns and valuable information from consumer feedback. Opinions can consist of a combination of sentiments and topics from comments. The features considered in the mining of opinion become one of the important keys to getting a quality opinion. This paper proposes to utilize FVEC and TF-IDF features to represent the comments. In addition, two popular machine learning approaches in the field of opinion mining, i.e., SVM and CNN, are explored separately to extract opinions in Indonesian comments of YouTube videos. The experimental results show that the use of FVEC features on SVM and CNN achieves a very significant effect on the quality of opinions obtained, in term of accuracy.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"28 1","pages":"724-729"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78507853","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752766
Nik Zulkarnaen Bin Khidzir, Wan Abdul Ghani, Khairul Azhar Mat Daud
Cloud-based m-retail application is commonly used by internet retailers and cyberpreneurs for conducting online business operations. The emergence of third-party e-commerce platforms along with incentives from Malaysian government has easily enabled the utilization of mobile marketplace app among both Malaysian sellers and customers. As m-retail has just started to gain attention in Malaysia, more works must be done to overcome the academic research limitations in terms of technological and non-technological perspectives. Meanwhile, textile and apparel products are among the most popular to be sold via the internet in addition to the growing number of related businesses. The uses of latest technology such as cloud-based mobile-retail application may help business owners to sustain for business survival. In designing a mobile applications for specific users, a thorough investigation must be performed. A conceptual framework of the apps might be helpful in providing a general overview of required elements for developing a successful mobile-retail applications. Extensive literature reviews, qualitative analysis, interviews and questionnaires have been conducted in designing and validating the proposed framework. The analysis results shows mean values from the survey are > 3.5 for the core element variables in this research. Thus, the statistical analysis validation results indicates the importance of the element as the fundamental component for the proposed framework. Therefore, this paper intends to propose a conceptual framework of cloud-based mobile-retail application specifically to be used by textile cyberpreneurs which might be helpful for related key players.
{"title":"A Conceptual Framework of Cloud-Based Mobile-Retail Application for Textile Cyberpreneurs","authors":"Nik Zulkarnaen Bin Khidzir, Wan Abdul Ghani, Khairul Azhar Mat Daud","doi":"10.1109/EECSI.2018.8752766","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752766","url":null,"abstract":"Cloud-based m-retail application is commonly used by internet retailers and cyberpreneurs for conducting online business operations. The emergence of third-party e-commerce platforms along with incentives from Malaysian government has easily enabled the utilization of mobile marketplace app among both Malaysian sellers and customers. As m-retail has just started to gain attention in Malaysia, more works must be done to overcome the academic research limitations in terms of technological and non-technological perspectives. Meanwhile, textile and apparel products are among the most popular to be sold via the internet in addition to the growing number of related businesses. The uses of latest technology such as cloud-based mobile-retail application may help business owners to sustain for business survival. In designing a mobile applications for specific users, a thorough investigation must be performed. A conceptual framework of the apps might be helpful in providing a general overview of required elements for developing a successful mobile-retail applications. Extensive literature reviews, qualitative analysis, interviews and questionnaires have been conducted in designing and validating the proposed framework. The analysis results shows mean values from the survey are > 3.5 for the core element variables in this research. Thus, the statistical analysis validation results indicates the importance of the element as the fundamental component for the proposed framework. Therefore, this paper intends to propose a conceptual framework of cloud-based mobile-retail application specifically to be used by textile cyberpreneurs which might be helpful for related key players.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"1 1","pages":"625-630"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79499980","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 : 2018-10-01DOI: 10.1109/eecsi.2018.8752786
{"title":"[Copyright notice]","authors":"","doi":"10.1109/eecsi.2018.8752786","DOIUrl":"https://doi.org/10.1109/eecsi.2018.8752786","url":null,"abstract":"","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85489765","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752833
N. Setyawan, N. Mardiyah, Khusnul Hidayat, Nurhadi, Zulfatman Has
The vision system in soccer robot is needed to recognize the object around the robot environment. Omnidirectional vision system has been widely developed to find the object such as a ball, goalpost, and the white line in a field and recognized the distance and an angle between the object and robot. The most challenging in develop Omni-vision system is image distortion resulting from spherical mirror or lenses. This paper presents an efficient Omni-vision system using spherical lenses for real-time object detection. Aiming to overcome the image distortion and computation complexity, the distance calculation between object and robot from the spherical image is modeled using the neural network with optimized by particle swarm optimization. The experimental result shows the effectiveness of our development in the term of accuracy and processing time.
{"title":"Object Detection of Omnidirectional Vision Using PSO-Neural Network for Soccer Robot","authors":"N. Setyawan, N. Mardiyah, Khusnul Hidayat, Nurhadi, Zulfatman Has","doi":"10.1109/EECSI.2018.8752833","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752833","url":null,"abstract":"The vision system in soccer robot is needed to recognize the object around the robot environment. Omnidirectional vision system has been widely developed to find the object such as a ball, goalpost, and the white line in a field and recognized the distance and an angle between the object and robot. The most challenging in develop Omni-vision system is image distortion resulting from spherical mirror or lenses. This paper presents an efficient Omni-vision system using spherical lenses for real-time object detection. Aiming to overcome the image distortion and computation complexity, the distance calculation between object and robot from the spherical image is modeled using the neural network with optimized by particle swarm optimization. The experimental result shows the effectiveness of our development in the term of accuracy and processing time.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"126 1","pages":"117-121"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87863943","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 : 2018-10-01DOI: 10.1109/eecsi.2018.8752765
{"title":"EECSI 2018 List Reviewers","authors":"","doi":"10.1109/eecsi.2018.8752765","DOIUrl":"https://doi.org/10.1109/eecsi.2018.8752765","url":null,"abstract":"","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"106 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89096610","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 : 2018-10-01DOI: 10.1109/eecsi.2018.8752805
{"title":"EECSI 2018 Time Schedule","authors":"","doi":"10.1109/eecsi.2018.8752805","DOIUrl":"https://doi.org/10.1109/eecsi.2018.8752805","url":null,"abstract":"","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"101 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83733116","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752809
D. I. Sensuse, Jani Richi R. Siregar, Ronny Ansis, Jonathan Sofian Lusa, P. Prima
Knowledge is one of the important assets for organization. Managing knowledge properly will enable the organization to achieve its objectives effectively and efficiently. Since risk of failed implementation of Knowledge Management (KM) might occur, organization needs to measure their KM Readiness beforehand to successfully implement KM. This study is intended to measure KM Readiness in government agency, namely Directorate of Bilateral Negotiations in Ministry of Trade. The research model for measuring KM readiness was developed based on previous relevant studies. KM enablers, individual acceptance, and KM SECI processes were used to develop the model and research instruments. KM Readiness in government agency was measured by accommodating factor analysis in research model. Data were collected from 53 employees as valid samples. The result shows that KM Readiness level of the Directorate of Bilateral Negotiations in Ministry of Trade is "ready but needs a few improvement".
{"title":"Measuring Knowledge Management Readiness of Indonesia Ministry of Trade","authors":"D. I. Sensuse, Jani Richi R. Siregar, Ronny Ansis, Jonathan Sofian Lusa, P. Prima","doi":"10.1109/EECSI.2018.8752809","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752809","url":null,"abstract":"Knowledge is one of the important assets for organization. Managing knowledge properly will enable the organization to achieve its objectives effectively and efficiently. Since risk of failed implementation of Knowledge Management (KM) might occur, organization needs to measure their KM Readiness beforehand to successfully implement KM. This study is intended to measure KM Readiness in government agency, namely Directorate of Bilateral Negotiations in Ministry of Trade. The research model for measuring KM readiness was developed based on previous relevant studies. KM enablers, individual acceptance, and KM SECI processes were used to develop the model and research instruments. KM Readiness in government agency was measured by accommodating factor analysis in research model. Data were collected from 53 employees as valid samples. The result shows that KM Readiness level of the Directorate of Bilateral Negotiations in Ministry of Trade is \"ready but needs a few improvement\".","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"39 1","pages":"531-536"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82006297","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752677
Emil Lazarescu, F. Frigura-Iliasa, M. Mirica, M. Frigura-Iliasa, L. Dolga, H. Filipescu
This article will present an off-grid photovoltaic energy system based on a photovoltaic element (PV), or a group of PVs, integrated in a solar battery (SB), directly connected to an electrical battery (EB) having no DC-DC adapter (use of adapters is the most common solution existing now on in this domain). This SB must be properly adjusted to the EB, not only as voltage, but it must provide also the same amount of energy as the system when operating at its classically detected maximum power operating point. This proposed technical solution is more economically justified, compared to the classic one: SB+DC-DC+EB, due to the simple fact that the DC-DC converter is no longer required at all. A simple mathematical model for the current-voltage characteristics is also presented, followed by a comparison between the classic DC-DC converter-based solution and the newly proposed one, without DC-DC converter.
{"title":"Computer Aided Model for an Off-grid Photovoltaic System Using Batteries Only","authors":"Emil Lazarescu, F. Frigura-Iliasa, M. Mirica, M. Frigura-Iliasa, L. Dolga, H. Filipescu","doi":"10.1109/EECSI.2018.8752677","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752677","url":null,"abstract":"This article will present an off-grid photovoltaic energy system based on a photovoltaic element (PV), or a group of PVs, integrated in a solar battery (SB), directly connected to an electrical battery (EB) having no DC-DC adapter (use of adapters is the most common solution existing now on in this domain). This SB must be properly adjusted to the EB, not only as voltage, but it must provide also the same amount of energy as the system when operating at its classically detected maximum power operating point. This proposed technical solution is more economically justified, compared to the classic one: SB+DC-DC+EB, due to the simple fact that the DC-DC converter is no longer required at all. A simple mathematical model for the current-voltage characteristics is also presented, followed by a comparison between the classic DC-DC converter-based solution and the newly proposed one, without DC-DC converter.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"179 1","pages":"222-225"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77005714","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752855
D. I. Sensuse, Richard Vinc, R. N. Ruliputra, S. Hadjar, Jonathan Sofian Lusa, P. Prima
Since the early 1990s, companies in the oil & gas industry have realized that their business operations are knowledge-based, where company performance can be derived from faster identification, an assessment of an opportunity, and the speed of an exploitation. The oil & gas industry is one of the leading industries in the application and development of knowledge management; this is caused by changes in market and technology from 1990s to the beginning of the 21st century. Utilizing knowledge management is a must to be able to compete with other oil and gas industry companies. Currently, Air Drilling Associates (ADA) as one of the companies in oil & gas industry already has implemented knowledge management system, but its benefits are far from the expectation. In order to position their efforts and initialize knowledge management, companies need framework to use as a template. The objective of this paper is to measure the knowledge management maturity of Air Drilling Associates and other suggestion related to knowledge management for improvement.
{"title":"Knowledge Management Maturity Assessment in Air Drilling Associates using G-KMMM","authors":"D. I. Sensuse, Richard Vinc, R. N. Ruliputra, S. Hadjar, Jonathan Sofian Lusa, P. Prima","doi":"10.1109/EECSI.2018.8752855","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752855","url":null,"abstract":"Since the early 1990s, companies in the oil & gas industry have realized that their business operations are knowledge-based, where company performance can be derived from faster identification, an assessment of an opportunity, and the speed of an exploitation. The oil & gas industry is one of the leading industries in the application and development of knowledge management; this is caused by changes in market and technology from 1990s to the beginning of the 21st century. Utilizing knowledge management is a must to be able to compete with other oil and gas industry companies. Currently, Air Drilling Associates (ADA) as one of the companies in oil & gas industry already has implemented knowledge management system, but its benefits are far from the expectation. In order to position their efforts and initialize knowledge management, companies need framework to use as a template. The objective of this paper is to measure the knowledge management maturity of Air Drilling Associates and other suggestion related to knowledge management for improvement.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"56 1","pages":"525-530"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84782325","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：