http://bcsee.org/index.php/bcsee/issue/feed Bulletin of Computer Science and Electrical Engineering 2020-08-15T00:00:00+08:00 Bulletin of Computer Science and Electrical Engineering (BCSEE) info@bcsee.org Open Journal Systems <p style="text-align: justify;"><img style="float: left; width: 200px; margin-top: 8px; margin-right: 10px; border: 2px solid #184B80;" src="http://bcsee.org/public/journals/1/Cover-BCSEE.jpg" /><a href="http://bcsee.org/" target="_blank" rel="noopener"><strong>Bulletin of Computer Science and Electrical Engineering (BCSEE)</strong></a> (e-ISSN: <a href="http://u.lipi.go.id/1590925851" target="_blank" rel="noopener">2722-7324</a>) is a biannually peer-reviewed open access journal that covers the leading-edge subjects and matters in computer science, information systems, and electrical engineering disciplines. The Journal stresses on academic excellence, research rigidity, knowledge distribution, and reciprocated scholarly efforts in order to endorse theoretical, experimental, and practical research at national and international levels. The BCSEE publishes research articles, review articles, short communications, letters, and technical notes that meet the broad-spectrum criteria of scientific excellence in the following research areas (but not limited to):</p> <p>Computer Science and Engineering<br />Electronics and Communication Engineering<br />Electrical and Electronics Engineering and Technology<br />Information Technology<br />Computer Applications<br />Bioinformatics<br />Instrumentation and Control Engineering<br />Medical Electronics Engineering<br />Mobile and Pervasive Computing<br />Software Engineering<br />VLSI Design<br />Optical Communication<br />Multimedia Technology<br />Biomedical Engineering<br />Communication and Networking<br />Digital Signal Processing<br />Biometrics and Cyber Security<br />Embedded System Technologies<br />Power Electronics and Drives<br />Power Systems Engineering<br />Electrical Drives and Embedded Control<br />Big Data Analytics and Cloud Computing<br />Computer Networks Engineering<br />Database Technologies<br />Robotics and Artificial Intelligence Techniques<br />Soft Computing Techniques<br />Ad-hoc and Sensor Networks<br />Parallel, Distributed and Grid Computing<br />Data Warehousing and Data Mining<br />Machine Learning Algorithms<br />Image, Signal and Video Processing<br />Mobile Computing and Application Development<br />Wireless Technologies<br />Web Technologies<br />Wind, Solar, and Renewable Energy<br />Ubiquitous Computing and Embedded Systems<br />U And E-service, Science and Technology<br />System Security and Security Technologies<br />Software Testing &amp; Analysis<br />Integrated Circuits &amp; Systems<br />Radio Frequency (RF), Microwave, An Millimeter-Wave Circuits<br />Remote Sensing and Space Systems<br />Space Plasma Electro-Dynamics<br />Wave Propagation<br />Social Networking and Analysis<br />Hardware Engineering<br />Computer Architecture and Organization<br />Electrical Machines<br />XML Web Services<br />Electromagnetic Materials for RF and Microwave Applications<br />Antennas<br />Open Source Technologies in<br />Operating System<br />Enterprise Computing<br />Information Security<br />Bio-Inspired Computing<br />Computer Science Applications<br />Nano-Electro-Mechanical System<br />Internet of Things (IoT)<br />Photonics and Optoelectronics<br />Information Engineering<br />Cryptography and Network Security<br />MEMS and Microsystems<br />Solid-State Devices and Nanotechnology<br />Computer Vision<br />Electromagnetics &amp; Acoustics<br />Channel Coding Theory and Applications<br />Energy Systems<br />Digital Signal Processing<br />Control, Intelligent Systems<br />Design, Modeling, and Analysis (DMA)<br />Integrated Circuits<br />Micro/Nano Electro Mechanical Systems (MEMS)<br />Physical Electronics<br />Signal Processing<br />Human-Computer Interaction (HCI)<br />Information Storage Management<br />Compiler Design<br />Invisible Computing<br />Biotechnology<br />Fuzzy Logic and rough set theory<br />E-Commerce<br />Evolutionary algorithm<br />Knowledge Management<br />Artificial Neural Networks (ANNs)<br />Simulation Techniques<br />Solid-State Device Modelling and Simulation<br />Analysis and Design of Analog Integrated Circuits<br />Programming Languages<br />Graphics and Visualization<br />Computational Biology<br />3D Modelling and Rendering<br />Audio Video Broad Casting Systems<br />Nano-Scale Transistors<br />Analog and Mixed Mode VLSI Design<br />Genetic Algorithms and its Applications<br />Particle Swarm Optimization<br />Ant Colony Optimization<br />Any other relevant topics.....</p> http://bcsee.org/index.php/bcsee/article/view/single-phase-power-factor-improvement-based-instantaneous-power- Single Phase Power Factor Improvement Based Instantaneous Power P Q Theorm 2020-06-28T23:10:58+08:00 Setiyono Setiyono setiyono@staff.gunadarma.ac.id Bambang Dwinanto <p>This paper presents how to harmonic disturbance reduce on single phase power system. One of the most popular method is harmonic signal extraction with instantaneous power p q theorm. This algorithm implemented to harmonic cencellation by active power filter circuit be paralled with the non linier load. This filter generates of current compensation that are injected into the grid to improve power quality. This Filter is built by an inverter circuit that consists of a mosfet switch array and capasitor mounted on DC link side. Two types of loads are resitive inductive and resistive capasitive produce of current source wave form that close pure sinusoid. Simulation results show the THD index fell to the level of 2.7% in accordance with IEEE 519 standard rules which states that the harmonics content of the power system may occur below 4%, indicating that the power system can be categorized as having good quality.</p> 2020-08-02T00:00:00+08:00 Copyright (c) 2020 Setiyono Setiyono, Bambang Dwinanto http://bcsee.org/index.php/bcsee/article/view/comparison-of-effect-efficiency-and-voltage-regulation-between-t Comparison of Effect Efficiency and Voltage Regulation Between Three-Phase Transformer Winding Connections 2020-07-09T21:30:38+08:00 Syamsyarief Baqaruzi syamsyariefbaqaruzi@gmail.com Surya Tarmizi Kasim <p>A transformer is an important device in electrical processes, as we know static electricity that involves magnetically coupled coils to increase or decrease the voltage. In three-phase transformer, there are various winding connections such as delta-delta (?, ?), wye-wye (Y, Y), wye-delta (Y, ?), delta-wye (?, Y), zig-zag (Z, Z), etc. And of the many often used connection are Yy0, Yd11, Dd0, and Dy5. From these various connections, each connection has different efficiency, losses, and voltage regulation. If they are connected with resistive, inductive, or capacitive loads. This paper method has discussed a transformer connection used are Yy0, Dd0, Yd11, and Dy5 in Laboratory Konversi Energi USU to see how the influence of load changes, on voltage regulation Where a state of balance load using are resistive, inductive, capacitive, and RLC combination. The result analysis of the experiment show, the best efficiency is at Dd0 connection, when loaded condition using capacitive is average 97.87%, and the best voltage regulation is obtained at Dy5, when loaded condition using resistive is average 28.35%</p> 2020-08-02T00:00:00+08:00 Copyright (c) 2020 Syamsyarief Baqaruzi, Surya Tarmizi Kasim http://bcsee.org/index.php/bcsee/article/view/tcp-syn-flood-dos-attack-prevention-using-spi-method-on-csf-a-po TCP SYN Flood (DoS) Attack Prevention Using SPI Method on CSF: A PoC 2020-06-28T23:06:08+08:00 I Putu Agus Eka Pratama eka.pratama@unud.ac.id <p>TCP SYN Flood as one kind of Denial of Service (DoS) attack, still popular to flood the server connection, by sending SYN packets to the target. Because of the risk caused by this attack, there is a need for a network security mechanism. In this paper, one of the security mechanisms proposed is using Stateful Packet Inspection (SPI) method on Configserver Security and Firewall (CSF). By using SPI method, CSF has capabilities to responsible for separating packets of data, that may be entered with data packets that should not be entered into the server. For example: port to be opened, port closed, and IP Address that may access the server for anywhere. This paper combines both of CSF and SPI method to prevent TCP SYN Flood (DoS) with Proof of Concept (PoC) at the Linux operating system. The security process is done in 3 ways: configuring a maximum connection from an IP Address to a server, securing an incoming SYN packet per second, and counting how many times an IP Address violates the minimum SYN packet rule per second before being blocked by a firewall.</p> 2020-08-07T00:00:00+08:00 Copyright (c) 2020 I Putu Agus Eka Pratama http://bcsee.org/index.php/bcsee/article/view/calculation-of-consumption-and-expenditures-for-electricity-ener Calculation of Consumption and Expenditures for Electricity Energy Costs at Lido Graha Hotel Lhokseumawe City Based on Electrical Power Measurement 2020-07-09T21:31:14+08:00 Arnawan Hasibuan arnawan@unimal.ac.id Widyana Verawaty Siregar Elvy Sahnur Nasution Rohana Ismail <p>Evaluation of energy utilization and identification become energy saving opportunities, as well as recommendations for increasing efficiency, on energy use and use of energy sources in the context of energy conservation This paper aims to describe the audit of electrical energy in the Lido Graha Lhokseumawe Hotel room, by taking samples in different room types and conducting an electrical energy audit on the use of installed lights and air conditioners. The method used in this study is data collection, interviews, observations and direct measurements on the use of lights and AC (Air Conditioning). The data analysis technique used is to determine the estimated value of electricity consumption and how much it will cost for electricity. From the results of calculations and analysis obtained total electricity consumption needs based on the type of room with various types of loads used 855.62 kWh/days with costs that must be spent per day is Rp. 1,190,574.96, 25,668.6 kWh/month with a monthly cost of Rp. 35,087,608.60. Whereas for a year electricity demand is 308,494.8 kWh/year with a cost of Rp. 421,051,305.24.</p> 2020-08-07T00:00:00+08:00 Copyright (c) 2020 Arnawan Hasibuan, Widyana Verawaty Siregar, Elvy Sahnur Nasution, Rohana Ismail http://bcsee.org/index.php/bcsee/article/view/comparative-analysis-of-single-exponential-smoothing-and-holts-m Comparative Analysis of Single Exponential Smoothing and Holt's Method for Quality of Hospital Services Forecasting in General Hospital 2020-06-28T23:16:41+08:00 Rachmat Rachmat rachmat27udinus@gmail.com Suhartono Suhartono suhartono@unm.ac.id <p>The quality health service is one of the basic necessities of any person or customer. To predict the number of goods can be done in a way predicted. The comparison method of Single Exponential Smoothing and Holt's method is used to predict the accuracy of inpatient services will be back for the coming period. Single Exponential Smoothing the forecasting methods used for data stationary or data is relatively stable. Holt's method is used to test for a trend or data that has a tendency to increase or decrease in the long term. The outcome of this study is the Single Exponential Smoothing method is more precise than Holt's method because of the history of hospitalized patients who do not experience an increase or no trend. In addition, the percentage of error (the difference between the actual data with the forecast value) and Mean Absolute Deviation (MAD) to calculate the forecast error obtained from the Single Exponential Smoothing method is smaller compared to Holt's method.</p> 2020-08-15T00:00:00+08:00 Copyright (c) 2020 Rachmat Rachmat, Suhartono Suhartono