Journal of Electronic and Electrical Power Applications

THE EFFECT OF INSTALLING GROUND ROOT BASED ON PARALLEL CIRCUITS ON THE GROUND RESISTANCE VALUE OF A 20 K DISTRIBUTION NETWORK

Isnu Gita Kumara — 2022-11-30

The grounding system is an direct protection against instrumentality that uses electricity as a source of power from overcurrent and leakage current or usually caused by lightning. Measurement of the value of grounding resistance is carried out every 6 months to maintan the resistance value of the grounding system to meet PUIL standards. For the grounding system theat has a resistance value above 5 Ohm, it is necessary to add a ground root that is connected in parallel. The resistance value data before and after the addition of the gorund root will then be carried out a simple linear regression analysis using software SPSS 25.0 for windows. The analysis method used in this study is quantitative analysis method to find out whether or not the effect of additional ground root on the grounding resistance. Based on the output model coefficient on SPSS, it showed a significance value of less than 0.05 which means the addition of a parallel ground root had an effect on the value of grounding risistance or could improve the grounding resistance. The output of summary model showed a correlation value (R) of 0.639, which means that the independent variable and the dependent variable had a strong relationship, while the value of R Square or the percentage of the effect of adding ground root to the value of grounding resistance was 40,9% while the other59,1% was influenced by other unexamined factor.

WATER TURBIDITY MONITORING SYSTEM AND RICE FIELD IRRIGATION DISCHARGE DOOR CONTROL USING BLYNK

Dzakiya Nur Yuniar — 2022-11-30

The research objective is to design an IoT-based rice field irrigation turbidity monitoring system, where later farmers can monitor water turbidity and control the Internet of Things (IoT) through Turbidity sensor processing and the ESP8266 module produced by Relay and cloud Blynk processing. The research flow starts from a literature search, the software design process compiles program scripts for each component that has been programmed through the Arduino IDE application, then creates Blynk which is used to monitor or monitoring the turbidity of irrigation water in real time. After designing the hardware and software, the next stage is system testing, if there are constraints and the results are not appropriate, then the hardware and software design is carried out again until the test is successful and the data results are appropriate, then proceed to the next stage of making the test data results. The research results of the Water Turbidity Monitoring System and Rice Irrigation Ditch Control Using Blynk have been successfully designed and functioning properly. The turbidity sensor works well with sensor readings that pass the range of 10 to 70. If the sensor value is less than 10, the water is detected as clean, but the value is more than 70, then the water is detected as cloudy or dirty. Findings Quality of service (QoS) research shows unsatisfactory or poor results in the delay, packet loss, and throughput components, which are caused by poor internet connectivity.

FAILBACK FAULT ANALYSIS ON BSG 9 TYPE ELECTRIC WESEL AT PURWOKERTO STATION

Dezan Claudio — 2022-11-30

Wesel (point machine) for the external equipment in the railway system that is used to move the line from a straight back position or vice versa. In the use of electric Wesel lines, there is a driving motor called a point machine. In addition, wesel also require periodic maintenance, self-laser treatment using a period of 2 weeks. Used is descriptive quantitative by presenting data on the evaluation of electric point of view in the field without any engineering or other treatment to obtain data. There is data on the percentage of the physical condition of note 53 with a yield percentage of 87.0% and a failure percentage of 8.7%. And the cumulative percentage of success is 95.7% and the cumulative percentage of failure is 8.7%. In table 5.5 there is data on the percentage of the physical condition of point 23 with a yield percentage of 87.0% and a failure percentage of 8.7%. And the cumulative percentage of success is 95.7% and the cumulative percentage of failure is 8.7%.

IMPLEMENTATION OF MOVING AVERAGE FILTER FOR THE MONITORING WATER LEVEL IN WATER TANKS USING ANTARES.

Raffi Noval Pambudi — 2022-11-30

Almost all monitoring systems for measuring the height of water reservoirs use ultrasonic sensors. One of the ultrasonic sensors that is already waterproof is the JSN-SR04T ultrasonic sensor. However, this sensor has a weakness, namely the high error rate of sensor readings, thereby reducing the accuracy of sensor readings. One way to reduce errors that occur in sensors is to implement a Moving Average Filter (MAF) data filter. The MAF used in this study are MAF 5 and MAF 10. The purpose of this study is to test the sensor by comparing the sensor error value if not using MAF by using MAF 5 and MAF 10. For the monitoring system and the database of sensor measurement results used in this study is to use the Antares platform. The test results of the JSN-SR04T ultrasonic sensor reading value state that if the sensor does not use MAF, the sensor reading value produces an average error of 5.41%. Then if the sensor uses MAF 5 produces an average error of 3.42% and MAF 10 produces an average error of 5.21%. These results prove that the implementation of the Moving Average Filter is able to reduce the JSN-SR04T ultrasonic sensor reading error.

DESIGN OF CONTROLLER OF ELECTRONIC EQUIPMENT WITH VOICE COMMAND USING NODEMCU-BASED INTERNET OF THINGS TECHNOLOGY

Amelia Damayanti — 2022-11-30

Controlling electronic equipment at home is generally done manually, but with the development of technology in today's modern era, there are many innovations that give rise to various ways of controlling electronic equipment, for example by remote control using IoT technology, using smartphone applications , or by remote control. This research aims to create a modern electronic equipment control system using voice commands with Google Assistant and Blynk. This control system uses an application as a sender, using both Iot media and voice control, namely the Google assistant. These components are assembled into one and made a prototype with the aim of facilitating testing before being attached to the actual installation. After testing the hardware and software. The result is that the response speed after sending data from the two media has different timeframes, IoT media has a response that depends on the internet network used with an average turning on the lights and fans is 0.7 seconds, while using the Google assistant is 4.5 seconds. The system works well if it has good network quality. The use of voice control has a pronunciation limit of 5 commands and uses English. The control system when it is first turned on is not directly connected to the internet, so the user must turn on the hotspot first so that the system can be connected and can run.

IMPLEMENTATION OF LINIER REGRESSIONUSING THE JSN-SR04T SENSOR FOR THE MONITORING WATER LEVEL IN WATER TANKS THROUGH ANTARES PLATFORM

Garnis Hasna Iftinan Apsari — 2022-11-30

Its use as a water storage location means that it is not uncommon for the water tank to overflow if the water level exceeds the maximum limit. One of the airtight ultrasonic sensors is the JSN-SR04T ultrasonic sensor for measuring water levels. However, this sensor has a weakness in the measurement reading that is less accurate. One way to improve the accuracy of this sensor's reading is to use the Linear Regression method. The purpose of this research is to test the accuracy of sensor measurement and the effect of linear regression implementation. The platform used in this research is Antares which is used for storing measurement data results. The results of the sensor measurement test show that the sensor is less accurate in measurement, after being implemented with the linear regression method the measurement results are approaching accurate but there is still a slight difference. The linear regression method is able to improve the accuracy of measurement data results better than before using linear regression.