{"title":"Analysis of RTO and RPO of a Service Stored on Amazon Web Service (AWS) and Google Cloud Engine (GCE)","authors":"Y. P. Baginda, A. Affandi, I. Pratomo","doi":"10.1109/ICITEED.2018.8534758","DOIUrl":"https://doi.org/10.1109/ICITEED.2018.8534758","url":null,"abstract":"Today, the availability of the application is beyond everything. Application can not be accessed even in a minute will become major problem for the business and threat the reputation of the company especially that need 24/7 availability of application. Companies that have traditional physical environments typically must duplicate their infrastructure to ensure the availability of spare capacity in the event of a disaster. Nowadays, there are many cloud providers that offer service called DRaaS (Disaster Recovery as a Service) to facilitate company needs in case of disaster recovery for their system to ensure their business continuity. Many companies still confuse which provider that can suit their system. Since RTO and RPO is the most critical two metrics in disaster recovery planning. This paper introduces implementation design method and analysis of two metrics between two cloud providers.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116737497","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}
{"title":"A Conceptual Model of User Experience in Scrum Practice","authors":"Sesaria Kikitamara, Anastasia Ary Noviyanti","doi":"10.1109/ICITEED.2018.8534905","DOIUrl":"https://doi.org/10.1109/ICITEED.2018.8534905","url":null,"abstract":"The current challenge on software development is integrating User Experience (UX) into Scrum practice because the existing Scrum practice mostly has not specifically mentioned the way UX method implemented in a project development. Hence, many software company still does not even know the difference between UI and UX. They are often confused on this new term and having difficulties to blend it with their Scrum team. Therefore, drawing from a systematic literature reviews, this paper discusses how UX integrate into Scrum practice. We classified UX-Scrum integration from the role of UX designer in a Scrum team; Parallel Working when the UX team working independently of the development team by working in separate Sprint from its implementation [1]. Working within a Sprint, when a UX person being partnered with a developer or product owner during the given Sprint [1]. Lean UX, a new method has been introduced by integrating collaborative routine that played out across the UX and the rhythms of Scrum [7]. These three models show different working style of UX designer to catch up with scrum team.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120963582","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}
Thanawat Lodkaew, Weeruhputt Supsohmboon, Kitsuchart Pasupa, C. Loo
{"title":"Fashion Finder: A System for Locating Online Stores on Instagram from Product Images","authors":"Thanawat Lodkaew, Weeruhputt Supsohmboon, Kitsuchart Pasupa, C. Loo","doi":"10.1109/ICITEED.2018.8534871","DOIUrl":"https://doi.org/10.1109/ICITEED.2018.8534871","url":null,"abstract":"Searching for a fashion or clothing shops that carry either the piece that a consumer desires or a similar one can be troublesome due to lack of complete information, e.g., lack of the name of the brand or the location of a shop. A consumer may also waste a lot of time crawling in an online store. Many online stores utilises a social network called “Instagram” as a digital advertising platforms. In most of online stores, a user can simply use a keyword to search for items. Unfortunately, this cannot be done in Instagram. A consumer may search for a store on Instagram by using Instagram's ID assuming that the store is known. However, he or she needs to search each post one by one until he or she finds the desired product which may take a long time. A way to directly access these stores is needed. Therefore, we propose a platform called Fashion Finder that can assist consumers in their search for Instagram's online stores that sell their desired piece or an equivalent one. Fashion Finder uses a deep learning algorithm to be able to do so. It is simple to use, fast and a shop owner can add more items to the platform by themselves. The experiment shows that our proposed framework outperforms the conventional approach on the Colorful Fashion Parsing dataset.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116437044","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}
{"title":"Design of LPG Injection Mechanism with PID Control for 1 kVA Generator Set","authors":"I. Adiyasa, E. Firmansyah, A. Cahyadi","doi":"10.1109/ICITEED.2018.8534750","DOIUrl":"https://doi.org/10.1109/ICITEED.2018.8534750","url":null,"abstract":"Injection of LPG fuel in generator set engine using carburetor technology have not been controlled yet so that LPG fuel consumption become inefficient at dynamic condition such as variation of fuel quality and different load on the generator. The inefficient fuel combustion will produce the bad emissions of combustion waste. Thus, it needs to be controlled in order to reduce the emission on fuel control mechanisms. This research proposes a microcontroller based fuel control system using openloop and closed-loop control in the 1 kVA generator set. The open-loop control test is performed to obtain the characteristic of throttle angle and injection duration. After that, the result of open-loop control test is used as inputs for closed-loop control that use PI and PID control at different load scenarios. The system is tested in two scenarios, scenario 1 is the generator driving 335 Watt load and scenario 2 the generator is driving 555 Watt load. On the PI Control test with Kp at 4.14 and Ki at 1.67, the generator time response is 3.1 seconds at scenario 1 and 3.6 seconds at scenario 2. Then on the PID control test with Kp at 5.52, Ki at 1 and Kd at 0.25, time response at the generator is 2.6 seconds at scenario 1 and 2.7 seconds at scenario 2. The fuel pressure can be reduced to 2.45 psi at loading scenario 1 and reduced to 2.82 psi at loading scenario 2 compared when using a carburetor. That closed-loop control is applied to increase the efficiency of fuel consumption that is directly influenced the reducing of emission from combustion.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115798520","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}
{"title":"ICITEE 2018 TOC","authors":"","doi":"10.1109/iciteed.2018.8534797","DOIUrl":"https://doi.org/10.1109/iciteed.2018.8534797","url":null,"abstract":"","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128070896","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}
{"title":"Unknown Input Observer for Battery Open Circuit Voltage Estimation: an LMI Approach","authors":"B. R. Dewangga, S. Herdjunanto, A. Cahyadi","doi":"10.1109/ICITEED.2018.8534889","DOIUrl":"https://doi.org/10.1109/ICITEED.2018.8534889","url":null,"abstract":"Open Circuit Voltage (OCV) is a vital component in Battery Management System which can be utilized to determine the battery condition namely state of charge (SOC) and state of health (SOH). Since OCV can not be measured when a battery is continuously connected to load, the only way to determine its value is through estimation. In this paper, the battery OCV is estimated using Unknown Input Observer (UIO). The parameters of the UIO are formulated into linear matrix inequality (LMI) to satisfy the stability of a chosen Lyapunov function. By solving the LMI, one possible solution for UIO parameters is obtained. To demontrate the effectiveness of the designed UIO in estimating OCV, simulations of a battery discharged using pulse load profile and varying load profile are performed. The results show that the OCV estimation faithfully tracks the actual OCV where the OCV estimation error tends to zero for a given initial OCV estimation error. Furthermore, the employment of UIO may decrease computational complexity since there is no need to include nonlinear SOC-OCV relationship in the OCV estimation.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128090533","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}
{"title":"Learning based biometric key generation method using CNN and RNN","authors":"Jong-hyuk Roh, Sangrae Cho, Seunghun Jin","doi":"10.1109/ICITEED.2018.8534873","DOIUrl":"https://doi.org/10.1109/ICITEED.2018.8534873","url":null,"abstract":"Studies on the biometric authentication and biometric key generation have been underway for a long time. Fundamentally, there is a disadvantage that it is difficult to obtain uniform biometrics due to noise, and issues of security and privacy are still mentioned, but high user convenience is an advantage that cannot be ignored. Recently, the results of existing researches on biometric key generation show very good results. However, since the algorithms presented in many studies are suited to the specific dataset, applying these algorithms to different datasets makes it difficult to achieve the good results mentioned in the paper. The reason is probably because most datasets are collected in one place with one camera. We wanted to present a key generation method that is not limited to datasets, and we came up with a training-based method for this. In this paper, we propose a method with the convolutional neural network (CNN) and the recurrent neural network (RNN) for cryptographic key generation from face biometrics. CNN is used to extract the feature vector from the face image, and RNN generates the key from the feature vector. In the registration process, the RNN is iteratively trained. Experimental results on the databases show that the proposed approach is effective in the biometric key generation. The results for mixed database also show good performance.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127035844","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}
{"title":"Meta-Review of Augmented Reality in Education","authors":"B. Hantono, L. Nugroho, P. Santosa","doi":"10.1109/ICITEED.2018.8534888","DOIUrl":"https://doi.org/10.1109/ICITEED.2018.8534888","url":null,"abstract":"Augmented reality has been developed decades ago, but its implementation can be enjoyed by the wider community only in the last few years, along with the increasing number of affordable smartphones which are owned by almost everyone. Although previous studies have shown that augmented reality has the potential to improve learning in students, the benefits of education by utilizing augmented reality and the context in which this technology is more effective than other educational media is still not clear. This paper tries to discuss the topic of augmented reality in the world of education by doing a meta-review of some reviews that have been done before. This paper tries to look at the trend of augmented reality research in education and also to help researchers decide which topics to explore.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130902949","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}
N. Shine, Filbert Anthony Wibisono, Erwin Anggadjaja, T. Rochadiani
{"title":"Food Products Monitoring Machine Using Combinations of Multiple Autonomous Sensors","authors":"N. Shine, Filbert Anthony Wibisono, Erwin Anggadjaja, T. Rochadiani","doi":"10.1109/ICITEED.2018.8534860","DOIUrl":"https://doi.org/10.1109/ICITEED.2018.8534860","url":null,"abstract":"Considering the growth of needs on food products in households’ correlates and linear with the growth of the population of Indonesia, many households are having problem with monitoring and managing their goods or food product stocks. This paper proposes a system that can tackle this problem, using the model of Internet of Things (IoT) and combining multiple autonomous sensors, such as infrared sensor, ultrasonic sensor and load cell, to monitor each households’ food product. The output of the machine is data that will be displayed on user’s phone, in order to help user’s monitor the amount of food left on their storage.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"553 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133614104","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}
I. Ferdiansyah, M. R. Rusli, B. Praharsena, Handri Toar, Ridwan, E. Purwanto
{"title":"Speed Control of Three Phase Induction Motor Using Indirect Field Oriented Control Based on Real-Time Control System","authors":"I. Ferdiansyah, M. R. Rusli, B. Praharsena, Handri Toar, Ridwan, E. Purwanto","doi":"10.1109/ICITEED.2018.8534864","DOIUrl":"https://doi.org/10.1109/ICITEED.2018.8534864","url":null,"abstract":"Speed controller on IFOC-based three-phase Induction motor (IM) drive is needed to optimize transient speed performance. Nevertheless, the control system on the IM is very difficult because of its complexity and nonlinearity. a proportional, integral, and derivative (PID) speed controller with numerical tuning is used in this paper to observe the transient speed performance of IM and validated by real-time control through the real-time workshop (RTW) in MATLAB Simulink then integrated with three-phase voltage source inverter (VSI). The using of RTW is an appropriate, easy, and time-saving tool to implement speed controller on IFOC-based IM drive in real time without taking care of other complex programming languages. Based on the experimental result through RTW, PID speed controller has better performance and does not produce overshoot in this case when compared to open loop response.","PeriodicalId":142523,"journal":{"name":"2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131813691","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}