Articles
<![CDATA[Optimization of Universitas Riau Data Network Management Using Software Defined Network (SDN) ]]>
<![CDATA[Safrianti, Ery]]>;
<![CDATA[Sari, Linna Oktaviana]]>;
<![CDATA[Mahan, Rian Arighi]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 2 No. 3 (2019): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.2.3.10-14
<![CDATA[Computer networks are one of the main parts in the telecommunications system. To support reliable network technology, a centralized network is needed so that network traffic can be managed more easily. Software-Defined Network (SDN) technology is a centralized network that provides a separation between control planes and data planes in different systems. This study discusses the optimization of network management at the University of Riau (UNRI) using SDN. Optimization is done by designing a UNRI computer network in the form of SDN then simulated using the Mininet. Quality of Service (QoS) analysis is performed from the measurement results using Wireshark. The network simulation results give a delay value of 0.506 ms, 0% packet loss, the throughput of 590,392 Mb / s and jitter of 0.093 ms. The SDN network provides better delay and jitter performance compared to conventional UNRI networks with a delay value of 13,874 ms, 0% packet loss, 635.1 Mb/s throughput and 2.6 ms jitter. UNRI's SDN network design is worth considering because it has better QoS values, delay, and jitter below ITU standards and conventional networks.]]>
<![CDATA[The Design of Portable Battery Charging Devices Using Motorcycle Wheel Round ]]>
<![CDATA[Jalil, Feranita]]>;
<![CDATA[Firdaus]]>;
<![CDATA[Safrianti, Ery]]>;
<![CDATA[Hidayat, Ade]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 2 No. 3 (2019): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.2.3.21-25
<![CDATA[The design of the utilization of motorcycle wheel rotation for portable battery charging aims to make a device that can be used to charge batteries or gadgets by utilizing motorcycle wheel rotation. This tool works by using the rotation of a motorcycle's wheels into electric power for charging power bank or cell phone needs. This tool consists of 3 parts, namely dynamo, a rectifier circuit, and a regulator circuit. From testing the tools that have been made, it is proven that the device can work and produce an output voltage of 5V and a maximum current of 0.95A. The power produced is 4.75 Watt. This tool can charge a cell phone for 0-100% in 226 Minutes and charge a power bank for 50% for 131 Minutes. The recommended speed of the motorbike when charging is 30Km / h.]]>
<![CDATA[Performance Analysis of DSR and TORA Model Routing Protocols In Vehicular Ad Hoc Network ]]>
<![CDATA[Sari, Linna Oktaviana]]>;
<![CDATA[Azmi, Agusurio]]>;
<![CDATA[Safrianti, Ery]]>;
<![CDATA[Jalil, Feranita]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 3 No. 3 (2020): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.3.3.94-99
<![CDATA[Pekanbaru city is a large area, therefore traffic congestion often occurs due to the density of society’s vehicles. From this problem, it is needed a technology that can exchange information between vehicles. Information Technology that can involve many vehicles with special network types without dependence on an infrastructure is Ad Hoc Network. One type of this network is Vehicular Ad Hoc Network (VANET). VANET is a new concept in enabling communication between Vehicle to Vehicle (V2V). For efficient data packet delivery, VANET requires a routing protocol. In this research, for simulated and analyzed performance is used the Dynamic Source Routing (DSR) and Temporally Ordered Routing Algorithm (TORA) protocol. NS-2 is used to simulated a moved nodes, SUMO software is used to simulated real map of SKA Mall crossroad and parameter the quality of performance routing protocol DSR can determined by End to End Delay, Packet Delivery Ratio (PDR) and Routing Overhead (RO). This simulation uses scenario 100 nodes, 150 nodes, 200 nodes and 250 nodes. The simulation results with the scenario of changing the number of nodes, the DSR routing protocol produces better performance with an average of End to End Delay is 0.1066 s, average of PDR is 95.45% and average of RO is 1.0076. While the TORA routing protocol has an average of End to End Delay is 0.1163s, average of PDR is 93.49% and average of RO is 1.0801. And in the scenario of node speed changes, the TORA routing protocol produces better performance with an average of End to End Delay is 0.0861 s and average of PDR 97.37%. While the DSR routing protocol is better with an average of RO is 1.0076.]]>
<![CDATA[Cryptography with Layered Algorithms for Text Security on Android ]]>
<![CDATA[Safrianti, Ery]]>;
<![CDATA[Fitriansyah, Fernanda]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 3 No. 2 (2020): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.3.2.35-39
<![CDATA[Android phone is one of the most widely used telecommunications devices today. The exchange of various forms of information ranging from text, sound, images and video through this media is inseparable from the threat of criminal crime through digital data theft. Data security aspects are very important to be considered, one of which is data in the form of text. Text data is commonly used in short message services (SMS), chat in various Android applications or in the use of logins and passwords. This research will create an application on Android for securing text data through cryptographic techniques with a layered algorithm using three types of algorithms namely Caesar, Blowfish and AES Algorithms (Advanced Standard Encryption). This application can run on Android 5.0 (lollipop) or above, which can be used to encrypt and decrypt text messages. The test results show that the results of the initial text that was encoded through the encryption process can be safely returned by the decryption process without the slightest mistake with the original text. The encryption test for capital letters, numbers, and punctuation can be completely decrypted.]]>
<![CDATA[Discovery Routing Time Speed Comparison of AODV, OLSR and ZRP protocols on MANET ]]>
<![CDATA[Safrianti, Ery]]>;
<![CDATA[Oktaviana Sari, Linna]]>;
<![CDATA[Rahayu, Tulus]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 3 No. 3 (2020): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.3.3.100-106
<![CDATA[Mobile Ad hoc Network (MANET) is a wireless network that contains a collection of nodes without infrastructure and interconnected to communicate. MANET works dynamically when a group of nodes moves spontaneously, so the network topology can change quickly and cannot be predicted. It causes changes in wireless network topology according to existing conditions. The node functions in determining the route to be selected. Ad Hoc networks have limited transmission range, so routing is needed to send data over the network. The problem with mobile nodes is that routing must provide a path when the node changes. The speed of a node obtaining information is affected by the routing protocol used in the network. Each routing protocol has different capabilities in network speed, so the discovery routing time for each routing is also different. The selected routing protocols are Ad Hoc On-Demand Distance Vector (AODV), Optimized Link-state (OLSR), and Zone Routing Protocol (ZRP). The study will conduct a comparative analysis of ad hoc network initialization speeds on AODV, OLSR, and ZRP routing protocols. The parameter tested is the speed of routing discovery. After the data is collected, an analysis is carried out by looking at the routing discovery speed of each routing protocol. The test results show that each of the routing protocols examined, the AODV routing protocol, has a faster routing discovery time than the OLSR and ZRP routing protocols.]]>
<![CDATA[Peer Connection Classifier Method for Load Balancing Technique ]]>
<![CDATA[Safrianti, Ery]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 4 No. 1 (2021): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.4.1.127-133
<![CDATA[A large number of requests for internet access causes a long response time resulting in an overload problem. This problem occurs in offices that provide public services such as the Soeman HS Regional Library and Archives Office in Riau Province. So that service work is not disrupted due to overload, network optimization is carried out using Load Balancing Techniques. Load Balancing will balance load traffic on two or more connection lines so that traffic can run optimally. The method used is the Peer Connection Classifier (PCC). This method will divide the load based on the source, destination address, and port address. All internet requests from users will go to the router that has been configured with Load Balancing with the PCC method. The router will manage outgoing requests from users through the Internet Service Provider 1 (ISP 1) line or ISP line 2 to be able to enter the internet connection. The test results show equal distribution of outgoing access to ISP 1 and ISP 2 lines so that there is no overload on any ISP lines. This configuration will be applied to the Mikrotik router using the Winbox application.]]>
<![CDATA[IoT Applications in Fermented Tempe Production ]]>
<![CDATA[Safrianti, Ery]]>;
<![CDATA[Linna Oktaviana Sari]]>;
<![CDATA[Fitri Wulandari]]>;
<![CDATA[Feranita]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 1 (2022): International Journal of Electrical, Energy and Power System Engineering (IJEEP ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.5.1.1-5
<![CDATA[Tempe is made from fermented soybeans with the fungus Rhizopus Oligosporus. In the manufacture of tempe producers often experience failure. The main cause is the temperature and humidity of the room where the tempe production is not maintained. The absence of supporting devices for detecting temperature and humidity in the factory is an obstacle in the tempe fermentation process. Manufacturers can only estimate the temperature and humidity in the fermentation chamber. If the temperature is considered too hot, tempe producers will come to the factory and open the air vents so that the room temperature returns to normal. To increase tempe production and reduce the risk of production failure, it is necessary to design an automatic control and monitoring tool through the use of the Internet of Things (IoT). The tools used in this research are ESP8266, DHT22, Relay, Power Bank as a power source, fans, and lights. The results obtained from the test are that if the temperature and humidity are above or below the normal temperature (250C-320C), a notification will appear on the user's smartphone via the Blynk application. If the temperature is too hot, the fan will turn on automatically. If the temperature is too cold, the light will turn on. Monitoring data can also be viewed on the things peak website in graphic form.]]>
<![CDATA[Design of pH Measuring Equipment for Liquid Waste from Coal Mining Using Arduino Uno ]]>
<![CDATA[Safrianti, Ery]]>;
<![CDATA[Feranita]]>;
<![CDATA[Nurhalim]]>;
<![CDATA[Wahyu Dwi Reza]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 3 (2022): The International Journal of Electrical, Energy and Power System Engineering (I ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.5.3.61-66
<![CDATA[In coal mining, to check the pH content of the water in the liquid waste from coal mining, most of the mining workers use conventional methods, namely by measuring using a digital pH meter or litmus paper periodically. Manual pH reading system makes handling slow. Based on these reasons the researchers designed a tool that can monitor pH values, the working principle of this tool is that the pH electrode is inserted into the sample solution, then the electrode detects the sample solution and changes the electrical signal, where the output will be amplified by an amplifier circuit in the form of an analog voltage, then on Arduino uno analog data is converted to digital data or ADC (Analog To Digital Conversion) after which it is converted again to pH value and displayed on an LCD that has been equipped with I2C. And this tool is also equipped with an RTC (Real Time Clock) so that it can display the time at which pH data is taken in the waste. The results of the calibration of the pH sensor obtained a linear equation, namely, Y = 25.84 - 7.1211X so that the designed tool has an error percentage of the manufacturer's pH meter tool of 1.028 %. By using this tool, the writer concludes that 0.4 grams of camphor (CaO) on the prototype or 480 kg in real conditions with a pool area of 600 m^3 can reduce the output voltage on the pH sensor from 3.20 V to 2.56 V thereby increasing the pH value. from 3.07 to 7.58 in pool 4 or drain pool.]]>
<![CDATA[Implementation of Bandwidth Management and Access Restrictions Using PCQ and Firewall Methods in SMP Tunas Bangsa Network ]]>
<![CDATA[Sari, Linna Oktaviana]]>;
<![CDATA[Utari Nurul Fajar Nasution]]>;
<![CDATA[Safrianti, Ery]]>;
<![CDATA[Feranita Jalil]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 5 No. 3 (2022): The International Journal of Electrical, Energy and Power System Engineering (I ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.5.3.73-79
<![CDATA[Internet virtual classes as a substitute for face-to-face learning are becoming common use in schools during the pandemic, which activities outside the home is restricted. SMP Tunas Bangsa has an internet hotspot to access Zoom as a virtual class while browsing activities carried out by the teachers. Diverse activities and high traffic loads cause internet traffic congestion and frequent connection failures. The hotspot requires bandwidth management and access restrictions in order to efficient internet usage. Bandwidth management is carried out by the method Per Connection Queue (PCQ), and access restrictions are carried out with the firewall mangle. Mikrotik router OS configuration in practice manages bandwidth starting with connection marks and packet marks to separate connections to the router, through the router, and from the router to the internet. The parameter used to distinguish the traffic is the IP address which is grouped in dst-address and src-address to fulfill the pcq-classifier. Meanwhile, the blocking of access to streaming activities and online games is intended so the teachers only access related to education matters. To determine the success of the configuration, the Quality of service was calculated both before and after configuration. The results of the QoS throughput parameter which increased from 4.39% to 84.99%, the delay decreased from 462.52 ms to 146.87ms, and packet loss decreased from 27.94% to 0% on the network.]]>
<![CDATA[Carbon Conversion Using High Voltage Plasma Method Based on Mangrove Wood Charcoal ]]>
<![CDATA[Aldi, Robi]]>;
<![CDATA[Feranita, Feranita]]>;
<![CDATA[Murdiya, Fri]]>;
<![CDATA[Safrianti, Ery]]>;
<![CDATA[Sari, Linna Oktaviana]]>
<![CDATA[ International Journal of Electrical, Energy and Power System Engineering Vol. 6 No. 2 (2023): The International Journal of Electrical, Energy and Power System Engineering (I ]]>
Publisher : <![CDATA[Electrical Engineering Department, Faculty of Engineering, Universitas Riau ]]>
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DOI: 10.31258/ijeepse.6.2.168-175
<![CDATA[This study investigates the conversion of mangrove wood charcoal into graphene using high voltage plasma technology through arc discharge. The experiment involves heating carbon with high voltage plasma generated from rod and plate electrodes. The variables examined are the electrode distance and carbon treatment time. The results demonstrate the successful conversion of mangrove wood charcoal into graphene. The generated plasma is influenced by the electrode distance, with a 1 cm gap producing stronger bluish-orange plasma. Varying the treatment time also affects the graphene yield, with a 3-minute treatment generating more graphene compared to 2 minutes, and 2 minutes yielding more graphene than 1 minute. XRD analysis reveals characteristic peak shifts indicative of graphene presence. SEM analysis confirms the graphene structure with porous features and sub-micrometer sizes. SEM images and diameter data further validate the successful conversion of carbon into graphene. These findings provide a foundation for the development of high voltage plasma-based production of graphene from mangrove wood charcoal. The utilization of a 10kV Neon Power Supply transformer enables the generation of high voltage plasma for the carbon-to-graphene conversion process. The electrode distance in the transformer plays a crucial role, as greater distances result in higher voltages, while shorter distances lead to lower voltages. This research significantly contributes to expanding the knowledge and application of graphene in various scientific and engineering fields. Moreover, the understanding of how electrode distance affects the generated voltage using a Neon Power Supply transformer is an important finding for optimizing the performance of this type of transformer.]]>
