Pub Date : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266030
Dym Zefanya Darmawan, Wella
This study analyzes and identifies the compatibility of COBIT 5.0 framework to educational institutions in Indonesia. The research approach used is qualitative by doing in-depth-interview to the 5 experts and analyzed enterprise goals each educational institutions. Interviewees for this research have COBIT5 certification. Result of this research, there are 12 processes COBIT 5.0 have most appropriate for educational institutions, among others: APO 01 (Manage the IT Management Framework), APO 07 (Manage Human Resource), EDM 02 (Ensure Benefits Delivery), APO 04 (Manage Innovation), EDM 01 (Ensure Governance Framework Setting and Maintenance), APO 02 (Manage Strategy), APO 03 (Manage Enterprise Architecture), APO 05 (Manage Portfolio), APO 08 (Manage Relationships), APO 11 (Manage Quality), BAI 01 (Manage Programs and Projects). Based on the results of this research, COBIT 5.0 framework can support IT governance of educational institutions but still need other frameworks, like ITIL, TOGAF, and CMMI to support more reliable and manageable IT governance.
{"title":"IT governance evaluation on educational institutions based on COBIT 5.0 framework","authors":"Dym Zefanya Darmawan, Wella","doi":"10.1109/CONMEDIA.2017.8266030","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266030","url":null,"abstract":"This study analyzes and identifies the compatibility of COBIT 5.0 framework to educational institutions in Indonesia. The research approach used is qualitative by doing in-depth-interview to the 5 experts and analyzed enterprise goals each educational institutions. Interviewees for this research have COBIT5 certification. Result of this research, there are 12 processes COBIT 5.0 have most appropriate for educational institutions, among others: APO 01 (Manage the IT Management Framework), APO 07 (Manage Human Resource), EDM 02 (Ensure Benefits Delivery), APO 04 (Manage Innovation), EDM 01 (Ensure Governance Framework Setting and Maintenance), APO 02 (Manage Strategy), APO 03 (Manage Enterprise Architecture), APO 05 (Manage Portfolio), APO 08 (Manage Relationships), APO 11 (Manage Quality), BAI 01 (Manage Programs and Projects). Based on the results of this research, COBIT 5.0 framework can support IT governance of educational institutions but still need other frameworks, like ITIL, TOGAF, and CMMI to support more reliable and manageable IT governance.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126745427","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 : 2017-11-01DOI: 10.31937/ULTIMART.V10I1.767
E. Aulia, Christian Aditya
Good animation movie needs to be communicative and deliver its meaning to the audience. One of the most important aspects is to design an effective movement for the animation. In movement, the thoughts and characteristics of a character are shown. Expression of a characters can be seen through their movement and body gestures. Body gestures show us an expression, emotions, traits, thoughts, and each different characters. Characters do t move effectively if the movement does t correspond to its characteristics. To understand the characteristics we need to understand each characters physiology, sociology, and psychology. In this research, the author explains and analyze the process of designing a rat movement with a human personality.
{"title":"“Panawa” animation movement design: Rat character with human personality","authors":"E. Aulia, Christian Aditya","doi":"10.31937/ULTIMART.V10I1.767","DOIUrl":"https://doi.org/10.31937/ULTIMART.V10I1.767","url":null,"abstract":"Good animation movie needs to be communicative and deliver its meaning to the audience. One of the most important aspects is to design an effective movement for the animation. In movement, the thoughts and characteristics of a character are shown. Expression of a characters can be seen through their movement and body gestures. Body gestures show us an expression, emotions, traits, thoughts, and each different characters. Characters do t move effectively if the movement does t correspond to its characteristics. To understand the characteristics we need to understand each characters physiology, sociology, and psychology. In this research, the author explains and analyze the process of designing a rat movement with a human personality.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123240293","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266040
Amril Mutoi Siregar, Adam Puspabhuana
Now finding relevant information is absolutely needed by users of the information. Actually, finding relevant information is more difficult than just looking for information. The presence information retrieval (IR) system is a system for automatically searching the relevant information to the user needs, which is expressed in the required query, and this query will be used as an input and processed by IR system and then will get relevant documents to the required query. One of methods of finding relevant information by query is term weighting by both query and document. The commonly used methods are the term weighting of local and global weighting, while the local term weighting algorithms that are used such as TF, TF logarithmic, binary TF and augmented TF and global weighting is IDF, IDFP, IDFB. In this research, besides of comparison of term weighting algorithms, it is also proposed new improvement in term weighting algorithms by adding global weight value that changes base 10 logarithmic to base 2 logarithmic and adds the number 1 in the global term weighting IDFP. Measurements result of this research are Precision, Recall and NIAP. In This research, the best result for precision and NAIP have been performed by new propose term weighting algorithms. After compare and analyze the result of the weighting algorithms. It is necessary to combine the weighting with semantic algorithms so that it will get better result.
{"title":"Improvement of term weight result in the information retrieval systems","authors":"Amril Mutoi Siregar, Adam Puspabhuana","doi":"10.1109/CONMEDIA.2017.8266040","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266040","url":null,"abstract":"Now finding relevant information is absolutely needed by users of the information. Actually, finding relevant information is more difficult than just looking for information. The presence information retrieval (IR) system is a system for automatically searching the relevant information to the user needs, which is expressed in the required query, and this query will be used as an input and processed by IR system and then will get relevant documents to the required query. One of methods of finding relevant information by query is term weighting by both query and document. The commonly used methods are the term weighting of local and global weighting, while the local term weighting algorithms that are used such as TF, TF logarithmic, binary TF and augmented TF and global weighting is IDF, IDFP, IDFB. In this research, besides of comparison of term weighting algorithms, it is also proposed new improvement in term weighting algorithms by adding global weight value that changes base 10 logarithmic to base 2 logarithmic and adds the number 1 in the global term weighting IDFP. Measurements result of this research are Precision, Recall and NIAP. In This research, the best result for precision and NAIP have been performed by new propose term weighting algorithms. After compare and analyze the result of the weighting algorithms. It is necessary to combine the weighting with semantic algorithms so that it will get better result.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124519426","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266046
A. Hikmaturokhman, Ade Wahyudin, Alia S. Yuchintya, T. A. Nugraha
Microwave is a kind of wireless communication using radio link transmission at high frequency medium between two base stations in cellular systems. Microwave link should be line of sight (LOS) between transmitter and receiver (no obstacle). But, in the real case, there are some obstacles in microwave link between two base stations. Therefore, this paper uses a microwave passive repeater to solve the obstacle problems. The passive repeater is used to repeat information signals by changing the direction of the radio link transmission. This paper implements Barnett Vigants and ITU-R P.530–7/8 methods in passive repeater using software simulation. The difference between two methods is the availability value due to multipath and unavailability value due to rain. On a microwave transmission network using the Barnett Vigants method, resulting higher unavailability value than the use of ITU-R method P.530 7/8. The unavailability value using Barnett Vigants method obtained was 0.023%, it means the outage time of link microwave is 7244 second per year. If compared with metode ITU-R P.530 7/8 method, the unavailability was 0.000087 % or outage time system is for 26 second per year. So the availability using ITU-R P.530 7/8 method is 99. 9999133%.
{"title":"Comparison analysis of passive repeater links prediction using methods: Barnett Vigants & ITU models","authors":"A. Hikmaturokhman, Ade Wahyudin, Alia S. Yuchintya, T. A. Nugraha","doi":"10.1109/CONMEDIA.2017.8266046","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266046","url":null,"abstract":"Microwave is a kind of wireless communication using radio link transmission at high frequency medium between two base stations in cellular systems. Microwave link should be line of sight (LOS) between transmitter and receiver (no obstacle). But, in the real case, there are some obstacles in microwave link between two base stations. Therefore, this paper uses a microwave passive repeater to solve the obstacle problems. The passive repeater is used to repeat information signals by changing the direction of the radio link transmission. This paper implements Barnett Vigants and ITU-R P.530–7/8 methods in passive repeater using software simulation. The difference between two methods is the availability value due to multipath and unavailability value due to rain. On a microwave transmission network using the Barnett Vigants method, resulting higher unavailability value than the use of ITU-R method P.530 7/8. The unavailability value using Barnett Vigants method obtained was 0.023%, it means the outage time of link microwave is 7244 second per year. If compared with metode ITU-R P.530 7/8 method, the unavailability was 0.000087 % or outage time system is for 26 second per year. So the availability using ITU-R P.530 7/8 method is 99. 9999133%.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131675576","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266042
Vincentius Kurniawan, Arya Wicaksana, Maria Irmina Prasetiyowati
Technology advancement has brought in mobility and flexibility into the workplaces in contrast to the old days. Workers are demanded to perform their job at places other than their office. The well-known long-established attendance systems that are widely used in workplaces are heavily depending on technologies such as the Radio Frequency Identification (RFID) and fingerprint. Both technologies have limitation especially when it comes to flexibility and mobility. Thus, this research proposes an attendance system that addresses the mentioned condition. The attendance system is built using Android and web technologies with geolocation extraction feature and biometric technology: the face recognition. The Eigenface algorithm is chosen for face recognition process in the system. In addition to that, Euclidean distance is used for calculate the distance between input image and the training image. There are variables in this research that may disturb the recognition process: lighting, distance between the face and the camera, and hardware specifications, which are not taken into consideration. Based on the implementation and testing process, the overall accuracy of the system is 86.67%.
{"title":"The implementation of eigenface algorithm for face recognition in attendance system","authors":"Vincentius Kurniawan, Arya Wicaksana, Maria Irmina Prasetiyowati","doi":"10.1109/CONMEDIA.2017.8266042","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266042","url":null,"abstract":"Technology advancement has brought in mobility and flexibility into the workplaces in contrast to the old days. Workers are demanded to perform their job at places other than their office. The well-known long-established attendance systems that are widely used in workplaces are heavily depending on technologies such as the Radio Frequency Identification (RFID) and fingerprint. Both technologies have limitation especially when it comes to flexibility and mobility. Thus, this research proposes an attendance system that addresses the mentioned condition. The attendance system is built using Android and web technologies with geolocation extraction feature and biometric technology: the face recognition. The Eigenface algorithm is chosen for face recognition process in the system. In addition to that, Euclidean distance is used for calculate the distance between input image and the training image. There are variables in this research that may disturb the recognition process: lighting, distance between the face and the camera, and hardware specifications, which are not taken into consideration. Based on the implementation and testing process, the overall accuracy of the system is 86.67%.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130600811","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266031
Sandy Kosasi, Vedyanto, I. Yuliani
Apart from processing academic data, IT application portfolios are used to support the three main duties of higher education. Structured ones are, thus, necessary. Using saturation sampling, this research engaged 30 private higher education in Pontianak, Indonesia in which each was represented by 3 respondents. The instruments were questionnaires including processes and levels provided with Guttman Scales. The research aimed to cognize gap values and recommended a new IT governance model with expected maturity levels measured through COBIT 4.1 Framework. DS (Delivery and Support) process was the focus. Results indicate that the lowest values of maturity levels (2.265 and 2.338) are respectively at DS5 and DS7 processes. The average (3.251) reflects that current IT governance is at Level 3 (defined process). Proposed recommendation models of DS5 process show the relationship between input control objectives (PO2, PO3, PO9, AI2, and DS1) and output control objectives (DS8, DS7, ME1, AI6, PO9, and DS11). Meanwhile, DS7 process has the relationship between input control objectives (PO7, AI4, DS1, DS5, and DS8) and output control objectives (ME1 and AI4).
{"title":"Maturity levels of academic information services of higher education using IT governance","authors":"Sandy Kosasi, Vedyanto, I. Yuliani","doi":"10.1109/CONMEDIA.2017.8266031","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266031","url":null,"abstract":"Apart from processing academic data, IT application portfolios are used to support the three main duties of higher education. Structured ones are, thus, necessary. Using saturation sampling, this research engaged 30 private higher education in Pontianak, Indonesia in which each was represented by 3 respondents. The instruments were questionnaires including processes and levels provided with Guttman Scales. The research aimed to cognize gap values and recommended a new IT governance model with expected maturity levels measured through COBIT 4.1 Framework. DS (Delivery and Support) process was the focus. Results indicate that the lowest values of maturity levels (2.265 and 2.338) are respectively at DS5 and DS7 processes. The average (3.251) reflects that current IT governance is at Level 3 (defined process). Proposed recommendation models of DS5 process show the relationship between input control objectives (PO2, PO3, PO9, AI2, and DS1) and output control objectives (DS8, DS7, ME1, AI6, PO9, and DS11). Meanwhile, DS7 process has the relationship between input control objectives (PO7, AI4, DS1, DS5, and DS8) and output control objectives (ME1 and AI4).","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127804346","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266043
Arie Kusumawati
Y generation has been at the forefront of adopting technology and interacting more with mobile devices. Mobile advertising is considered the application of this technology. Many firms have embraced this, although studies reveal that consumer have a negative attitude towards it. This is why this study was conducted, as to obtain new information if generation Y has the similar attitude. This study examines the factors that influence consumers' attitudes toward mobile advertising. The authors analyze timeliness, localization, and personalization of the advertisement message as antecedents of extrinsic motivation, as well as consumer innovativeness and perceived enjoyment as antecedents of intrinsic motivation. Using partial least square, this study analyzes the conceptual model with a sample of 160 mobile phone users that categorized as Y generation. The result of this study showed that both intrinsic and extrinsic motivations mediate the effects of the advertising message's characteristics on mobile phone users' attitudes toward mobile advertising. This study may provide a new perspective of a generation's attitude on perceiving mobile advertising, especially in Indonesia.
{"title":"The mediation effect of intrinsic and extrinsic motivation on generation Y: An analysis of mobile advertising attitudes","authors":"Arie Kusumawati","doi":"10.1109/CONMEDIA.2017.8266043","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266043","url":null,"abstract":"Y generation has been at the forefront of adopting technology and interacting more with mobile devices. Mobile advertising is considered the application of this technology. Many firms have embraced this, although studies reveal that consumer have a negative attitude towards it. This is why this study was conducted, as to obtain new information if generation Y has the similar attitude. This study examines the factors that influence consumers' attitudes toward mobile advertising. The authors analyze timeliness, localization, and personalization of the advertisement message as antecedents of extrinsic motivation, as well as consumer innovativeness and perceived enjoyment as antecedents of intrinsic motivation. Using partial least square, this study analyzes the conceptual model with a sample of 160 mobile phone users that categorized as Y generation. The result of this study showed that both intrinsic and extrinsic motivations mediate the effects of the advertising message's characteristics on mobile phone users' attitudes toward mobile advertising. This study may provide a new perspective of a generation's attitude on perceiving mobile advertising, especially in Indonesia.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132263407","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266041
Muhammad Nur Yasir Utomo, A. E. Permanasari, Eddy Tungadi, I. Syamsuddin
Student's Single Tuition Fee or Uang Kuliah Tunggal (UKT) is a subsidy policy in higher education by the Indonesian government. This policy regulates the tuition fees incurred by each student at each semester in every higher education institutions. Since the cost of UKT expenses is influenced by the financial ability of each student, therefore the cost of education among students must be grouped into several classes. Until recently, there has been no standard to make such classification whereas such determination is an important task to solve by every higher institution in Indonesia. This study aims to compare five data mining classification algorithms (Gaussian Naïve Bayes, Multinomial Naïve Bayes, Bernoulli Naïve Bayes, Decision Tree and SVM) to find the best algorithm for the case of determining the UKT classes. The experiment is conducted using 230 training data and 10-fold cross-validation evaluation. Based on the result, Decision Tree managed to obtain average accuracy value of 0.814 or 81.4%. Finally, Decision Tree is used to classify the UKT classes of3258 data of students.
{"title":"Determining single tuition fee of higher education in Indonesia: A comparative analysis of data mining classification algorithms","authors":"Muhammad Nur Yasir Utomo, A. E. Permanasari, Eddy Tungadi, I. Syamsuddin","doi":"10.1109/CONMEDIA.2017.8266041","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266041","url":null,"abstract":"Student's Single Tuition Fee or Uang Kuliah Tunggal (UKT) is a subsidy policy in higher education by the Indonesian government. This policy regulates the tuition fees incurred by each student at each semester in every higher education institutions. Since the cost of UKT expenses is influenced by the financial ability of each student, therefore the cost of education among students must be grouped into several classes. Until recently, there has been no standard to make such classification whereas such determination is an important task to solve by every higher institution in Indonesia. This study aims to compare five data mining classification algorithms (Gaussian Naïve Bayes, Multinomial Naïve Bayes, Bernoulli Naïve Bayes, Decision Tree and SVM) to find the best algorithm for the case of determining the UKT classes. The experiment is conducted using 230 training data and 10-fold cross-validation evaluation. Based on the result, Decision Tree managed to obtain average accuracy value of 0.814 or 81.4%. Finally, Decision Tree is used to classify the UKT classes of3258 data of students.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133480770","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266034
Enrico Siswanto, Adiputra Wijaya Katili
Campus promotion program is the annual routine program conducted by Universitas Multimedia Nusantara (UMN). Sometimes, Marketing Department in UMN faced a problem in choosing the priority of the schools that want to visited by UMN for promotions. The purpose of this research is to find a suitable method from FMADM to resolve the problem. The methods from FMADM consist of SAW (Simple Additive Weighting), AHP (Analytical Hierarchy Process), and WP (Weighted Product). Those three methods are compared to find out which method is suitable for making a decision. From the results, SAW is the suitable method comparing with the others in choosing the priority of the schools that want to visited by UMN for promotions. SAW method can achieve more consistent results and accordance with the decision from UMN marketing team. Finally, prototype of the prediction system using Simple Additive Weighting (SAW) was made in this research.
{"title":"Implementation of decision support system for campus promotion management using fuzzy multiple analytic decision making (FMADM) method (Case study: Universitas multimedia nusantara)","authors":"Enrico Siswanto, Adiputra Wijaya Katili","doi":"10.1109/CONMEDIA.2017.8266034","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266034","url":null,"abstract":"Campus promotion program is the annual routine program conducted by Universitas Multimedia Nusantara (UMN). Sometimes, Marketing Department in UMN faced a problem in choosing the priority of the schools that want to visited by UMN for promotions. The purpose of this research is to find a suitable method from FMADM to resolve the problem. The methods from FMADM consist of SAW (Simple Additive Weighting), AHP (Analytical Hierarchy Process), and WP (Weighted Product). Those three methods are compared to find out which method is suitable for making a decision. From the results, SAW is the suitable method comparing with the others in choosing the priority of the schools that want to visited by UMN for promotions. SAW method can achieve more consistent results and accordance with the decision from UMN marketing team. Finally, prototype of the prediction system using Simple Additive Weighting (SAW) was made in this research.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133077256","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 : 2017-11-01DOI: 10.1109/CONMEDIA.2017.8266044
Devin Ryan Riota, M. B. Kristanda, Maria Irmina Prasetiyowati
Global Positioning System (GPS) is not the only technology used to provide location information. GPS which is able to provide accurate positioning in the outdoor environment is unable to provide the same result in an indoor environment. Earth's magnetic field based indoor positioning system utilizes the uniqueness of building's structure to determine position. An indoor positioning system is not only applied to single floor environment as the development of multistory buildings continue to increase, hence the intensity of earth's magnetic field which may deteriorate as height increases might affect the overall accuracy of an indoor positioning system. The application developed is based on Android, uses fingerprinting method along with k-nearest neighbors algorithm to compare magnetic values between database and sensor readings. A positioning filter based on previous location, direction, and magnetic values is used to filter data before applying the algorithm. Plane positioning experiment results in 1.75m of average distance error and 1.26m of standard deviation using 5 as the value of k. Floor estimation shows low accuracy when the application is used to estimate which floor the user is on, with an average accuracy of 31.25 percent on the first corridor, 34.38 percent on the second corridor and 51.56 percent on stairs with a lot less data. No evidence regarding the impact of height on accuracy and precision was found using Earth's magnetic field and k-nearest neighbor algorithm as there is no correlation between accuracy, precision, and height.
{"title":"Multi-floor indoor positioning mobile application using earth's magnetic field (Case study: Universitas multimedia nusantara)","authors":"Devin Ryan Riota, M. B. Kristanda, Maria Irmina Prasetiyowati","doi":"10.1109/CONMEDIA.2017.8266044","DOIUrl":"https://doi.org/10.1109/CONMEDIA.2017.8266044","url":null,"abstract":"Global Positioning System (GPS) is not the only technology used to provide location information. GPS which is able to provide accurate positioning in the outdoor environment is unable to provide the same result in an indoor environment. Earth's magnetic field based indoor positioning system utilizes the uniqueness of building's structure to determine position. An indoor positioning system is not only applied to single floor environment as the development of multistory buildings continue to increase, hence the intensity of earth's magnetic field which may deteriorate as height increases might affect the overall accuracy of an indoor positioning system. The application developed is based on Android, uses fingerprinting method along with k-nearest neighbors algorithm to compare magnetic values between database and sensor readings. A positioning filter based on previous location, direction, and magnetic values is used to filter data before applying the algorithm. Plane positioning experiment results in 1.75m of average distance error and 1.26m of standard deviation using 5 as the value of k. Floor estimation shows low accuracy when the application is used to estimate which floor the user is on, with an average accuracy of 31.25 percent on the first corridor, 34.38 percent on the second corridor and 51.56 percent on stairs with a lot less data. No evidence regarding the impact of height on accuracy and precision was found using Earth's magnetic field and k-nearest neighbor algorithm as there is no correlation between accuracy, precision, and height.","PeriodicalId":403944,"journal":{"name":"2017 4th International Conference on New Media Studies (CONMEDIA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121122709","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}