Jurnal Jaringan Telekomunikasi (JJT)
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The Number of Nodes Effect to Predict the Electrical Consumption in Seven Distinct Countries
This paper presents a machine learning-based approach for forecasting electrical consumption in seven selected countries across different geographical categories. The data, sourced from The International Energy Agency, is analysed and condensed to focus on specific nations: Northern (Norway, Canada), Southern (Chile, Australia), Four-season (France, Japan), and a Tropical country (Colombia). The unique electrical consumption patterns influenced by regional climate characteristics make this study compelling for machine learning applications. From the dataset comprising over 132,000 records from January 2010 to May 2023 across 53 countries, a refined dataset focusing on 791 data points from seven specifically chosen countries to simplify the study. A significant part of the paper details the machine learning design for electrical consumption forecasting. Specifically, Artificial neural network architecture is proposed to predict consumption. The input features encompass the year, month, and country, with the output being the anticipated electrical usage
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
Antenna design and implementation patch diamond array 2x4 elements with DGS shaped dumbbell square head at frequency 2.4 GHz
— Technological advances in the field of telecommunications without cables or wireless are growing rapidly by utilizing radio waves as transmission. This happens because people's mobility is currently quite high and requires practicality in the use of devices. The discussion in this paper is about the comparison of the design and fabrication performance of a diamond microstrip patch antenna composed of a 2x4 element array using DGS and without using DGS. The design was carried out using the CST 2018 simulator. The DGS was placed on a PCB ground plane with an epoxy fiberglass substrate having a dielectric constant of 4.58. This is measured by improving the value of VSWR, return loss, and bandwidth. The application of the working frequency used by the microstrip antenna is at (2401-2495) MHz for WIFI (Wireless Fidelity) networks. Microstrip antennas have a narrow bandwidth shortage, so they require bandwidth widening using the DGS (Defected Ground Structure) technique in the form of dumbbell square ahead. The resulting bandwidth is 15 MHz wider than a microstrip antenna without DGS. This research is in accordance with the antenna test parameters, which have a return loss value of -24.3dB, VSWR 1.12 and a bandwidth of 34 MHz
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
Design and Development of Student Attention System using Face Recognition Based on MTCNN and FaceNet
Employees use their level of attendance or absence to demonstrate their presence at work or absence from it in an agency. This absence is connected to how discipline is applied, which is decided by each organization or institution. It can be inferred from this that student absenteeism in a setting where there is activity serves to increase discipline and demonstrate attendance. With IP Camera technology, it can be applied to the attendance system using the MTCNN method as face detection and FaceNet to extract high-quality features from the face. The system created can detect faces at a distance of 40 cm – 180 cm with an accuracy of 90.5% and can detect more than 1 object in 1 frame so that the IP Camera function is in accordance with the design in real-time. Tested the object of 3 pairs of twin faces produces a maximum accuracy of 90% where the level of match between the faces and the data is appropriate
Estrus Cycle Monitoring System in Cow Based on IoT
The orientation of local cattle farms generally only aims to take cow's milk, so local farmers do not have bulls and only have female cows to milk them. If a cow gives birth to a bull, the bull will be sold. This creates a separate problem for these farms because without a bull, the female cows cannot be fertilized naturally and can only be fertilized through artificial insemination so that the number of cows on the farm does not decrease and run out. However, this artificial insemination can only be given when a cow is in heat and cannot be done at any time. However, there are many ordinary dairy farmers in Indonesia who often lack knowledge about the signs of cow lust, making them run out of time for cow lust. Therefore, a device is made that can monitor the heat condition of cows on farms by using an infrared temperature sensor that is connected via the internet network and can be accessed via a smartphone, which can be monitored anytime and anywhere to help cattle breeders. The results of the implementation show that the performance of the infrared temperature sensor is very good because the measurement results are quite accurate because the accuracy level reaches 99.529 percent. The performance of the color sensor is also very good because it can detect colors accurately. The average delay obtained is 1.0175975 seconds. Meanwhile, the packet loss value obtained during the test was 16.11%
Design and Build a Motor Vehicle Information System App using Location Based Service in the City of Malang
The service queue system at motor vehicle repair shops in Malang city is still manual, customers must find the nearest repair shop and visit the repair shop then queue for service without knowing the queue information. With a system like that, it will be difficult and take a long time for customers who want to do service. For this reason, we need an application to search for the nearest motor vehicle repair shop based on maps based on LBS (Location Based Service) and a motor vehicle service queue information system using a web server and applications with the Android operating system. The application of the location-based service concept to the workshop queuing information system application can be used to provide location-based information services. Customers will use an application that displays workshop information and the number of service queues according to what is input by the workshop admin. The result of this research is workshop queue information system application can be used to find out the user's location and the location of the nearest special vehicle repair shop around the user. From the experimental results, it is found that the web and application can work well
Application of Electrical Conductivity (EC), Temperature and pH Sensors on IoT Based Red Ginger TOGA (Zingiber Officinale Var Rubrum) Planting Media
The red ginger plant is a type of rhizome plant which is one of the spices that are needed in Indonesia. The number of requests for red ginger requires the right planting media composition. Charcoal husks and manure are often used as mixed materials, especially those that cultivate plants in the bottom or polybags. An important parameter in the farming system is Electrical Conductivity (EC), temperature and pH. The degree of acidity or pH of the soil is very influential on the growth of a plant with a value between 6.5 to 7.5. The room temperature for red ginger plants is good with a range of 22-35°C. The TDS meter value in PDAM water is good at 100 ppm but the smaller the TDS value the better the water conductivity. The results of the sample testing 1, 2 and 3 of the soil pH value are at 5.9 to 6.4, this has a large impact of plant nutrient not available, so that Plant growth is disrupted. The TDS value is in the value of 87 to 95 shows the conductivity of water during the trial period in good condition. The temperature value of the space is in the range of 20-34°C which the temperature value is in the right condition. Making IoT-Based Application in Red Ginger Plants can help find out the good value of water conductivity, room temperature and soil pH in planting red ginger plants that can be monitored through the application.
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
Design Of Building Gear Motion Control Systems On Bicycles Using Voice Comments
Voice recognition is also connected to the microcontroller connected to the servo motor to move the derailleur rear as a gear drive. The results of research on the gear motion control system on bicycles using voice comments can move in the correct gear position. Storage of voice commands is done 7 times and repetition of the same command no later than 4 times while the fastest 2 times repetition. Test results in a crowded condition obtained 72% success and an average delay of 1.38 seconds and the test results in a quiet state obtained the success of 88% and an average delay of 1.20 seconds. The results of this study indicate that this study is able to move the gear in a moving state with voice commands in a quiet state, the maximum level of voice commands is 96.1 dB and the minimum level of voice commands is 80.2 dB when crowded, the maximum level of voice commands is 101.9 dB and obtained the minimum level of voice commands is 88.1 dB, but this research still has shortcomings, namely if the voice command given is above the maximum voice command level and below the minimum level, the voice command cannot be processed and the gear cannot move. seen from the difference between the maximum crowded state and the maximum quiet state of 5.8 dB and the difference between the minimum crowded state and the minimum quiet state of 7.9 dB