Proceeding of the Electrical Engineering Computer Science and Informatics
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Individual Factors As Antecedents of Mobile Payment Usage
The aim of this research was to discover the stances of individual elements as antecedents of mobile payment usage. Data was gathered by distributing a questionnaire, which in latter steps was analyzed quantitatively. This research collected 90 samples, of whom represented users of a mobile payment service in Indonesia. The collected dataset was statistically analyzed, by employing partial least square structural equational modelling (PLS-SEM), aided with SmartPLS3.0. The results showed that two types of individual factors, namely individual difference and behavioral belief played significant roles in shaping users' intention to use mobile payments. Individual differences, consisting of mobile payment knowledge and compatibility significantly influenced perceived ease of use. Behavioral belief, such as trust, was shown to significantly influenced perceived usefulness. Finally, perceived ease of use and perceived usefulness concertedly affected mobile payment users' intention to use
Indonesian ID Card Recognition using Convolutional Neural Networks
Indonesian ID Card can be used to recognize citizen of Indonesia identity in several requirements like for sales and purchasing recording, admission and other transaction processing systems (TPS). Current TPS system used citizen ID Card by entering the data manually that means time consuming, prone to error and not efficient. In this research, we propose a model of citizen id card detection using state-of-the-art Deep Learning models: Convolutional Neural Networks (CNN). The result, we can obtain possitive accuracy citizen id card recognition using deep learning. We also compare the result of CNN with traditional computer vision techniques
Analysis of Consumer Confidence on Mobile Commerce in Indonesia
The rapid development of mobile-based information technology, can change an existing business process. Such as loss of distributors in a single chain of business processes. Mobile Commerce industry is getting a good condition to grow. With the decrease in Mobile communication costs, more and more people are using mobile computing devices that can connect to the Internet. There are several m-Commerce applications in Indonesia, namely Lazada, Tokopedia, Buka Lapak, Shoppee and etc. The existence of these applications in Indonesia traders switch to online stores. This study takes three examples of m-Commerce applications in Indonesia with the top three criteria in terms of the best reviews and the highest number of reviews. The results of the sampling application is Lazada, Tokopedia and Buka Lapak. The process of collecting data taken will be analyzed to know about the level of consumer confidence in an m-Commerce application. This is evidenced by a collection of examples of online stores that exist in m-Commerce applications that inform ratings, discount information and existing features. The results obtained from this research is, consumer confidence can be seen from the review feedback that exist in each - each m-Commerce. Many discounts and low prices have no effect on consumer buying interest in the online store. The researcher's suggestion is to reward the most traded buyers with points that can be redeemed for certain goods, discounted goods or subsidized postage
Dual Frequency Continuous Wave Radar for Small Displacement Detection
In several field such as structure health monitoring, landslide monitoring and medical measurement, small displacement is used as the indicator of any problem that may rise in such fields. High resolution radar system is required for small displacement detection in millimeter of centimeter scale. Continuous wave (CW) radar with its narrow bandwidth feature, has a simpler system comparing with other radar system. However, the modification is needed to present the ability of CW radar in detecting small displacement. In this paper, dual frequency CW radar was investigated and proposed for small displacement detection. Computer simulation has been conducted to study the capability of the proposed radar system. The result shows that the dual frequency CW radar at 10.525 GHz is capable to detect a small displacement in millimeter scale. The frequency difference of the radar signal needs to be adjusted to avoid the ambiguity in the detection resul
Magnetorheological Elastomer Stiffness Control for Tunable Vibration Isolator
Most of the vibration isolator has fixed stiffness such as passive vehicle mounting system. Objective of this research is to develop a Magneto-rheological Elastomer (MRE) as a vibration isolator when different currents are applied to get different stiffness of the MRE. A MRE was fabricated by mixing silicon rubber, silicon oil and carbonyl iron particles together and then cured for 24 hours in a circular mold. Experimental result shows that that there were decreases in amplitude of the vibration in time and frequency domains when the current applied to the coil is increased
DNSBL for Internet Content Filtering Utilizing pfSense as The Next Generation of Opensource Firewall
The internet at this time has become an important part of everyday life. From an early age, children already introduced to a digital environment and used to use internet connected devices for various activities such as learning, entertainment, have a chat with family and friends. Apart from convenience and benefits, the Internet also poses a threat to children and adolescents, from inappropriate content such as pornography, violence, narcotics culture, exposure to online pedophiles or dangerous behavior that can make children unsafe. The role of parents in monitoring the online activities of children and adolescents becomes very important. The market offers a variety of control systems for parents who can block or filter content, manage usage, monitor activities, set boundary lines, and quota. This research was conducted to collect basic information about several sites that are often accessed by children with the aim of implementing an internet content screening program utilizing DNSBL and pfSense to increase parental awareness of various technologies that can be used to protect children from the dangers of cyberspace, providing various information for parents of tools that can protect children, and as a form of socialization about the importance of children internet usage monitoring by parents. The study was conducted in the city of Sukabumi by using 30 respondents who were parents of children aged 3-11 years. The most accessible site for children in the city of Sukabumi is Youtube. Therefore, preventive measures are needed to reduce the negative impact caused by filtering content
Civil Servant’s E-Government Adoption Levels: Are age and context matters?
This study examines the differences of e-government adoption by civil servants among age groups and between mandatory and voluntary context using UTAUT model. It used a non-probability sampling technique and an online survey to collect the data. A one-way ANOVA using SPSS was conducted to analyze the data. The study finds that most employees have the highest positive adoption levels in effort expectancy. Furthermore, there are significant mean differences between employee’s age group of performance expectancy for mandatory system and facilitating conditions for voluntary system. However, there is no statistically different on civil servant’s adoption level between mandatory and voluntary context
Line Detection Using Arranging Coordinate Point Method
Line detection system is a system line that canrecognize the line mark painted on the road. This is one of thedigital driver assistance tools that improve driving safety. Thevideo streaming captured using a camera which is installed infront of the vehicle as the input system will detected the line byusing the Arranging Coordinate Point Algorithm. The systemwill provide the correction value of the vehicle distance from thecenter of the road and guide the driver to stay on the track.Based on the experiment result, the system could detect astraight and curved line. The line is well detected by the systemin good condition such as less of noise of the road, good weather,and clear lane line. The system has a computational process0.0625 fps with average error calculation of position from thecenter of the road is 0.0992 m and standard deviation is 0.62448m
Decision Support System with Simple Additive Weighting for Recommending Best Employee
Human resources are significant assets in an organization. To increase work motivation for employees, various strategies are needed, such as giving rewards to employees who excel, giving sanctions to employees who break the rules and training employees. Rewarding for employees at Universitas Budi Luhur (UBL) is still based on the subjective assessment of the leadership. Determination of employees who perform well also has not been based on standard criteria or assessment. Therefore, in this study, a decision support system was developed to conduct the best employee assessment and selection. This study uses the Simple Additive Weighting (SAW) method. The SAW method was chosen because it was able to select the best alternative from several alternatives. Determination of the best employees using nine criteria, namely discipline, appearance, achievement, interpersonal skills, the ability to provide input, does not cause problems, ability to cooperate, coordination skills, and motivating abilities. The test results using the ISO-9126 model for web-based DSS applications developed in this study indicate that the quality of applications is 81%, which means that the criteria are excellent
Performance Analysis of SM-MISO with Q-CSIT in Wireless Sensor Network
In this paper, we investigate the role of Q-CSIT in SM-MISO for wireless sensor networks system. The SN are connected to the CH, it is modeled as a MISO system. Spatial modulation has an advantage over a conventional MIMO system which does not require multiple radio frequency chains as many as the number of transmit antennas. The Q-CSIT is aimed to estimate the faded wireless channel with a limited/finite number of bits. The finite number of feedback bits trigger the SN adapt automatically its AMC modes. Adaptation of the AMC modes causes a changing of transmit power and transmission rate, these changes will make a better probability of error. The numerical results show that bigger the number of feedback bits yields better SER. Furthermore, lower spatial correlation generates a better probability of error. The last, quality of wireless channel that is stated in SNR also dominantly influences the performance of SM – MISO system