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Proceeding of the Electrical Engineering Computer Science and Informatics
ISSN : 2407439X     EISSN : -     DOI : -
Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, students, engineers and practitioners together to participate and present their latest research finding, developments and applications related to the various aspects of electrical, electronics, power electronics, instrumentation, control, computer & telecommunication engineering, signal processing, soft computing, computer science and informatics.
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Articles 649 Documents
CHMM for Discovering Intentional Process Model From Event Logs by Considering Sequence of Activities Kelly R. Sungkono; Riyanarto Sarno
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (827.123 KB) | DOI: 10.11591/eecsi.v4.1094

Abstract

An intentional process model is known to analyze processes deeply and provide recommendations for the upcoming processes. Nevertheless, the discovery of intentions is a difficult task because the intentions are not recorded in the event log, but they encourage the executable activities in the event log. Map Miner is the latest algorithm to depict the intentional process model. A disadvantage of this algorithm is the inability to determine   strategies   that   contain   same   activities   with   the different sequence with other strategies. This disadvantage leads failure on the intentional process model. This research proposes an  algorithm for  discovering  an intentional  process  model  by considering the sequence of activities and CHMM (Coupled Hidden Markov Model). The probabilities and states of CHMM are utilized for the formation of the intentional process model. The experiment shows that the proposed algorithm with considering the sequence of activities gets an appropriate intentional process model. It also demonstrates that an obtained intentional  process  model  using  proposed  algorithm  gets  the better  validity  than  an  intentional  process  model  using  Map Miner Method.
Sosio-Technical Factors of E-Government Implementation Darmawan Napitupulu; Dana Indra Sensuse; Yudho Giri Sucahyo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (237.491 KB) | DOI: 10.11591/eecsi.v4.1095

Abstract

The failure of e-Government in a number of sector units happened because the implementation of e-Government is not easy. The old paradigm assume that e-Government is simply by installing a computer makes the implementation of e-Government failure. In fact, the success of e-Government is influenced by various factors called Critical Success Factors (CSFs). This study aims to map CSFs that influenced implementation of e-Government into two term of both technology and non-technology factors. The results showed a 67 CSFs of e-Government implementation identified was successfully mapped into seven dimensions ITPOSMO (Information, Technology, Process, Objective, Staffing & Skill, Management and Other Resource).
Prediction of Rupiah Against US Dollar by Using ARIMA Adiba Qonita; Annas Gading Pertiwi; Triyanna Widiyaningtyas
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (929.931 KB) | DOI: 10.11591/eecsi.v4.1096

Abstract

The currency exchanges rate is one of the most important things in the economy. The currency exchange rate is needed in the business word for example, investment and profit assessment. Prediction of rupiah rate is done to get the price of the rupiah against US dollar in the future to be used as consideration in decision-making, thereby reducing the risk of loss. Therefore, we need a method that can help in making business decisions about when to make the right trades with a high degree of accuracy. This study aims to predict the value of rupiah against US dollar by using ARIMA (Autoregressive Integrated Moving Average). This study uses four stages, including (1) the preparation of the dataset, (2) preprocessing of data, (3) the use of ARIMA models, (4) test accuracy. The data used for the test is the data rate from January 4th 2010 until June 24th 2016. The result showed that ARIMA method has an accuracy rate of 98.74%. Based on the result, it can be concluded that the development of the predictive value of the rupiah against the US dollar using ARIMA method was accurate to use.
Forming Heterogeneous Group in Cooperative Learning Process using Partitioning Around Medoids (PAM) and Equitable Distribution Imam Much Ibnu Subrotto; Badieah Badieah; Wardianto Eko Saputra
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (304.391 KB) | DOI: 10.11591/eecsi.v4.1097

Abstract

Selection of methods will greatly impact in learning process. One of the methods commonly applied are Cooperative learning. Cooperative learning is one of many learning techniques to improve the performance of students in the academic literature. Moreover, the heterogeneity in study group’s academics can improve performance, but only partially implementing cooperative learning in a group of heterogeneous formations. The problem faced in this type is the process of forming group of students into a heterogeneous group and inter-group quality is relatively equal or balanced. In this study, the authors aimed to provide intelligent solutions in the distribution group based on the value (The value of achievement on related subjects) and personality traits of each student in the determination of the performance of students are using the algorithm clustering Partitioning Around Medoids (PAM) in consideration of the value of measurement Euclidean Distance (ED) and the equitable distribution to form heterogeneous groups based on their level of heterogeneity in Measured with Goodness of Heterogeneity in Group (GH) and the rate of coefficient variation (CV) in same group or between groups with groups and equitable distributions on college campuses.
Encoding of Passive Anticollision Radio Frequency Identification Surface Acoustic Waves Tags Alexander Sorokin; Alexander Shepeta; Maurits Wattimena
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1059.926 KB) | DOI: 10.11591/eecsi.v4.1099

Abstract

This paper describes the encoding of anticollision radio-frequency identification tags based on surface acoustic waves. The study is based on the tag model with specific topology, which allows us to receive a response signal with time–frequency information. This research considers the collision case for several passive tags. Therefore, the proposal is to analyze the possibility of using several distinctive signs like frequency and time. We consider the model of passive surface acoustic wave tag, which contains piezoelectric substrate, interdigital transducer, and consecutive orthogonal-frequency-coded structures, which are placed in time slots. Similar topology makes possible the reliability of increasing tag identification in the collision case.
Compact Fractal Patch Microstrip Antenna Fed by Coplanar Waveguide for Long Term Evolution Communications Indra Surjati; Yuli Kurnia Ningsih; Syah Alam
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (702.162 KB) | DOI: 10.11591/eecsi.v4.1100

Abstract

This paper proposes a new design of compact fractal patch microstrip antenna fed by coplanar waveguide to reduce the antenna dimension and to increase its bandwidth for Long Term Evolution application purposes. The results shown return loss of -23.45 dB and VSWR 1.144 can be achieved by controlling the height and the width of the fractal patch dimension.  Bandwidth of the proposed antenna is 375 MHz which is equal to an increase of 200% compared to the conventional rectangular patch antenna and also the dimension of fractal patch antenna can be reduced until 66%.
Graphical Approach for RF Amplifier Specification in Radio over Fiber System: Maximum Power Issues Teguh Prakoso; Munawar Agus Riyadi; Razali Ngah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (605.355 KB) | DOI: 10.11591/eecsi.v4.1101

Abstract

Radio-over-fiber (RoF) technologies address wireless communication’s need for high data rate, protocol- transparency, and flexibility. One of challenge in RoF access point design is RF amplifier requirement that match to microwave-photonic link chosen and service range needed. This paper proposes a graphical approach as systematic method to solve the challenge. The method identifies two regions, i.e. (a) scalable region where amplifiers’ output 1-dB compression point (OP1dB) improvement can enhance system’s maximum input and output power, and (b) saturation region where any improvement on amplifiers’ OP1dB cannot improve AP’s maximum input and output power. The methods have been verified by system simulations. The errors at scalable and saturation regions are less than 1 dB and the standard deviation is no more than 0.6 dB. The error values around the breakpoint between scalable and saturation regions are around 1 dB. Therefore, the proposed graphical approach can be used in the specification tradeoff between RoF access point input and output power, amplifier’s gain and OP1dB.
FEM Modeling of Squeeze Film Damping Effect in RF-MEMS Switches Syed Turab Haider; Muhammad Mubasher Saleem; Mashhood Ahmad
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (680.814 KB) | DOI: 10.11591/eecsi.v4.1102

Abstract

A very important aspect in the design of RF- MEMS switches, is to obtain low switching time. The switching time not only depends on the device geometric parameters but also on the operating conditions. This paper presents the squeeze film damping effect on the dynamic response of the RF-MEMS switches. The squeeze film damping effect, with and without perforations, on the switching time is analyzed using finite element method (FEM) simulations. The effect of temperature and humidity on the squeeze film damping and switching time is also investigated.
The Onion Routing Performance using Shadow-plugin-TOR Hartanto Kusuma Wardana; Liauw Frediczen Handianto; Banu Wirawan Yohanes
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (616.562 KB) | DOI: 10.11591/eecsi.v4.1103

Abstract

Anonymous network provides user privacy to protect identity. The onion routing (TOR) project is one kind of Internet anonymous networks which attracts many researchers and clients nowadays, because of its simplicity and scalability. However, there are some difficulties to analyze TOR performance within live TOR networks since it is distributed and its security nature. This paper presents a TOR network simulation using shadow-plugin-TOR to configure a small scale virtual computer network within a host, running TOR, and then to analyze TOR performance in several measurements. One main advantage is that the shadow-plugin-TOR application can be implemented within a host in which used to build a client-server architecture of TOR network. Various number of relays and clients have been set to examine TOR network performance. The small scale simulations conducted using maximal CPU capacity between 60%–75% and memory (RAM) usage between 320 MiB– 1.5 GiB for each configuration. The simulation results show that average transmission time is shortened and bandwidth is faster along with increasing number of relay rather than adding more client.
Position Tracking for Static Target using Burst Signals with Time Difference of Arrival Method Romi Wiryadinata; Alia Shaliha Amany; Imamul Muttakin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.543 KB) | DOI: 10.11591/eecsi.v4.1104

Abstract

Time difference of arrival (TDOA) is one of transmitter tracking method to find location or position based on the difference of arrival signals from transmitter to receiver in time domain. This work aims to find the position of a transmitter using TDOA method. Operating frequency used is amateur radio 144.100 MHz for sending and receiving burst signal. Time difference is calculated by using cross correlation function. Output parameters are distance and coordinate of Tx toward Rx. The transmitter position is calculated by hyperbolic and trigonometry equations, giving distance error of 30.49%. Further improvement would require two or more tracking position methods in order to obtain more accurate value.