Dissolved Gas Analysis of Generator Step Up Transformer in Grati Power Plant Using Random Forest Based Method

Transformers are one of the important electrical equipment in the power system. To prevent some electrical contact on the component in transformers, an insulator or dielectric material is needed likely insulating oil. DGA test is important for diagnosis and deciding the maintenance of transformers. Duval Triangle and Duval Pentagon methods are DGA identification methods with the highest of accuracy compared to other methods. The data used in this article is from the DGA measurement test of transformers GT 3.1 Steam and Gas Power Plant Grati. The DGA data was analyzed by Random Forest based-model of Duval Triangle and Pentagon method, in accordance to IEEE C57.104-2019 and IEC 60599-2015 guidelines. Random Forest based-model has the best performance in implemented Duval method than others. The result of DGA identification using Random Forest based-model showed PD and S for Duval Triangle, and S for Duval Pentagon and from the results of identification using the Duval Triangle and Pentagon it does not always show the same results on the same test sample, so it is necessary to identify the history of DGA testing to get accurate results. This article presents the use of the combined Duval Triangle and Pentagon for diagnosis transformers

Analysis of Node Router Performance with Babel and OLSR Protocol on MANET in Disaster Area

Natural disasters are events caused by nature, including earthquakes, tsunamis, volcanic eruptions, droughts, hurricanes, and landslides. Natural disasters can cause telecommunications infrastructure to become damaged or malfunction. Therefore, flexible network technology is needed and does not depend on infrastructure, so that when the existing infrastructure is not functioning, humans can still communicate. One of the network technologies that is flexible and has infrastructureless characteristics, or basically does not require infrastructure, is Mobile Ad-hoc Network (MANET) technology. So that MANET technology becomes an option that can be a solution to existing problems, namely when a natural disaster occurs and the existing telecommunications infrastructure doesn't function. In the MANET network to communicate data between nodes that are far apart, it takes hops to a node in order to communicate, when a node is selected as a hop, the node will automatically act as a router node, the role of the router node is as a successor or communication liaison from a node to other nodes. In a router node, the parameters that are considered are CPU usage and RAM usage, because with increasing communication the router will process more data so it will take time to process the data, this will cause delay process. In this study, the performance of router nodes on Babel and OLSR will be discussed on the performance of router nodes on a fixed network with a stationary, moving and swapping node testing scheme. The parameters used in this study are CPU usage, RAM usage, and delay process

Overcoming Network Security on Host-Based Intrusion Detection System (HIDS) With IP and PORT Blocking Methods

Network security is important to maintain security on a network, the data and information contained in it. Based on the protection of data/information security in a network, generally all data-based security theories are created and applied to secure a particular network. Network security methods that have emerged such as using IDS (intrusion detection system), Intrusion Detection System (IDS) or intruder detection system are computer systems (can be a combination of software and hardware) that attempt to detect intrusions. At this time DOS attacks or software that occur to the general public in the form of (browsers, files, videos or images) that often occur with the aim that the server or network is unable to accommodate the traffic, causing the website/service down and cannot operate. Therefore, to assist in these attacks, it is necessary to apply blocking IP and PORT by using blocking so as to be able to add research on network protection in the internet world

Implementation of Mobile Ad-Hoc Network Using BATMAN Routing Protocol (Better Approach To Mobile Ad-hoc Network) for Salinity Monitoring in Vaname Shrimp Farms

Salinity is the key parameters in the shrimp culture environment. Conventional method is by visiting each pond plot. But,due to the large number and distance between the plots, this method is less effective. This ineffectiveness can lead to less than optimal yields. Manet is applied to increase the effectiveness of checking salinity using the BATMAN routing protocol. In this study, 2 units of laptops were used that act as Node 1 and Node 4, 2 units of Orange Pi Zero as Node 2, and 3. Each device is connected to a conductivity sensor to measure the salinity. The four devices are configured with an adhoc network using the BATMAN routing protocol. This research was conducted to provide an alternative for monitoring salinity to make it more effective. Based on the results of testing and analysis of network quality, the average delay value is 22.285 ms. The low delay value affects the percentage of packet loss in the four test scenarios with an average percentage of 0.999759613 %. Memory and CPU usage in testing 4 transition scenarios resulted in an average memory usage of 0.225% and CPU usage of 0.725%. The BATMAN routing protocol does not use a lot of memory and CPU usage because it only forwards data packets without the need to process data. From these data, it can be concluded that manet with batman routing protocol can be used as an alternative communication to provide communication network services in areas where there is no fixed network infrastructure

Design and Implementation of 2x4 Octagonal Array Patch Microstrip Antennas using T-Slots at 2.4 GHz Frequency for Wifi Applications

Wireless communication requires a useful device to transmit and receive electromagnetic waves. WiFi is a particular kind of wireless communication device used to send data over the internet network. The bandwidth and signal coverage of WiFi have significant limitations. As a result, an antenna is utilized to enhance signal reception in order to solve this issue. The research method used is to compare the design of the 2x4 octagonal microstrip array antenna using a T-slot and without the T-slot to see the results of simulation and testing in terms of return loss, VSWR, gain, and bandwidth. The results of bandwidth testing for octagonal microstrip antennas without a 2x4 T-slot array are 32 MHz, while for octagonal microstrip antennas using a 2x4 T-slot array of 40MHz. The octagonal microstrip antenna without a 2x4 T-Slot array has Return Loss of -18.2 dB and a VSWR of 1.280. The 2x4 octagonal T-Slot array microstrip antenna has Return Loss of -17.6 dB and a VSWR of 1.303. The test results 2x4 octagonal array microstrip antenna gain without using T-slot produces the largest gain of 9.55dBi, and the antenna using T-slot produces the largest gain of 12.55dBi

Identification of Animal Meat as Halal Product Authentication Using the Box Counting Method

Awareness and the need for authentication or assurance of the authenticity of halal foods is a challenge in many countries, especially in Muslim countries. So, many countries where the majority of the population is Muslim are quite strict in ensuring the sale and purchase of meat, especially in traditional markets. Therefore, this study aim is to find a system to identify the types of meat from the image, such as the initiation of the manufacture of practical technology for the authentication of halal products. In this study, the box-counting method was used to determine the fractal dimension value of the identified animal flesh image. The container counting method uses the texture of the animal’s meat that has unique characteristics of each type. The results of the identification of the animal meat obtained were 24 tests which were correctly identified from a total of 36 test data. This translates into a 66,67% success rate for the system

RFID as Automatic Billing System on Smart Cart Based on Wireless Sensor Network at Clothing Store

The current billing system can only be done at the cashier by relying on human resources. So that it can increase the number of queues when consumers increase and purchase more than one product. Longer queues can waste time and energy so that it can reduce customer satisfaction. The billing process that can only be done at the cashier can also be an obstacle for customers in knowing the total bill when shopping. This can trigger an over budget so that customers have to increase their expenses. This research proposes an automatic billing system on a smart cart that can support the billing process, especially reading the total bill in real time. This system uses a Radio Frequency Identification (RFID) passive label attached to each product as a unique identification code. In the shopping cart there is an RFID reader that functions to read the label. The products that have been added to the cart will be displayed on the application intended for customers and the web server for the cashier. Information on the website includes product name, price per product unit, product quantity, and total bill

Telecontrolling Microgreen Indoor Nursery Strawberry

Strawberry is a horticultural commodity that produces a high economy, but in 2014 strawberry production decreased by 34.83%. The reason for the decrease in production is the unstable temperature and humidity conditions due to global warming. Another factor that causes strawberries to fail is due to the slowness of farmers in knowing changes in temperature and humidity in strawberry. The method used in this study was to compare the results of special treatment on microgreen strawberry nurseries indoor using natural vegetative methods and outdoor. System telecontrolling strawberry nursery real time with temperature and humidity parameters using a DHT22 sensor, soil moisture using a soil moisture sensor, soil pH using a soil pH sensor, time using RTC and light intensity using a light intensity sensor BH1750. The results of strawberry nurseries with telecontrolling an indoor plant height of 9 cm and a plant width of 12 cm, results of strawberry nurseries without telecontrolling treatment outdoor with a plant height of 7.5 cm and a plant width of 7 cm

Implementation of LoRa on entrance and exit communication as determination of access to AI building, State Polytechnic of Malang

The COVID-19 pandemic has changed many areas of life. One of the consequences is that the learning zone causes reduced mobility and limited face-to-face meetings. State Polytechnic of Malang in overcoming face-to-face learning, especially practical learning in the AI ??Building, of course, many students, not only have the need for practical lectures. The research that the author is doing here is a field research using a quantitative approach. This research was conducted at the AI Building of the State Polytechnic of Malang. In collecting the data needed the author uses observation techniques. Discussion used data analysis methods. The results of the research for the RSSI pattern with the transmit power set at 18dBm lora and the antenna frequency used at 433MHz obtained the RSSI value. At a distance of 2m to 8m there is a decrease in RSSI starting from -57dBm to -80dBm, continuing from a distance of 8m to 42m there is an ups and downs in RSSI. The throughput result is strongly influenced by the value of bytes and the time the throughput value when done twice scanning is smaller than four times scanning because the scanning processes have different times, this is in accordance with the calculation formula

Fault Prognosis System on Face-Mask Body Machine with Adabelief-Backpropagation Neural Network

Ultrasonic welding workload on vertical roller welding components on face-mask body machine in making masks has a highvibration of up to 20kHz. This high vibration causes the locking bolt to loosen the serrations, thus causing a greater failure of function, such as wear and tear on the teeth. If this function fails, it will cause downtime and high costs in the waiting process for the cleat component to be remanufactured. The damage prognosis system based on the condition of this machine implements a Classification of types of damage along with recommendations for maintenance activities that need to be carried out on the Face-Mask Body Machine. Classification of the type of damage to this system using There is a Belief-Backpropagation Neural Network (BPNN), a method for looking for weight settings on a neural network based on the error rate obtained in the previous iteration. This method is optimized using AdaBelief, which can adapt the step size based on the "confidence" of the previous gradient to get Convergence rates and generalization abilities better so that these types of problems can be known from the vibration signal of the machine which previously the signal was parsed using wavelet packet decomposition into frequency bands to obtain component data with low or high frequency. From the results of system performance testing, the modeling accuracy is 98.4%, so this system can be declared good and feasible to use in slack detection of vertical roller welding cleat fixing bolts