Vessel Tracking System Based LoRa SX1278

This research presents a vessel tracking system that provides real-time coordinate and speed information. The idea behind the development of this system originated from Automatic Identification System (AIS) technology, which functions as a vessel monitoring system in maritime areas. The system aims to improve navigation safety, monitor vessel traffic, and maritime security. In Indonesia, AIS is regulated by the Ministry of Transportation. However, this technology has not yet been implemented in river waters. In addition, AIS is a complex and expensive system. In this research, geographic location detection information in the form of a vessel tracking system is obtained using the UBlox Neo-6M GPS module based on LoRa technology. The LoRa mechanism periodically sends location data and vessel speed from the node to the gateway. The data is then sent to the ThingSpeak server using the MQTT protocol. On the server, the data can be accessed for further analysis. The developed system shows that the research can be realized and the system functions properly through a series of experimental tests. While in the in situ test, the system displayed good performance on LoRa SF 7 configuration with a signal strength of -118 dBm within the communication range of 1000 meters. This result can be improved by considering the MAPL value of -138 dBm

Design and Implementation of LoRa-Based Forest Fire Monitoring System

One of the great disasters on earth is forest fires. Attempts to detect disaster events have been made with the help of monitoring technology. However, the problem is that the sensor is less responsive to detecting the presence of fire. Furthermore, sending information about fire incidents throughout the forest cannot use the existing communication platform. Therefore, we designed a forest fire monitoring system using LoRa. This technology is based on wireless which can transmit data across the forest. To detect the presence of fire, Arduino Uno is used as a microcontroller that regulates input from the AMG8833 sensor and GPS Ubox 6M. The experiment shows that the AMG8833 sensor is more sensitive in detecting the presence of fire as the catch range changes between 3 to 10 meters. In that distance range, hotspots were detected 19.25 oC to 122.5 oC when testing the sensor node is done. The monitoring system developed in this study demonstrated that sensor nodes and gateways could communicate up to 500 meters apart with a signal quality of -134 dBm. The best LoRa configuration mode for this communication capability is a Bandwidth of 250, a Code Rate of 4/5, and a Spread Factor of 10.One of the great disasters on earth is forest fires. Attempts to detect disaster events have been made with the help of monitoring technology. However, the problem is that the sensor is less responsive to detecting the presence of fire. Furthermore, sending information about fire incidents throughout the forest cannot use the existing communication platform. Therefore, we designed a forest fire monitoring system using LoRa. This technology is based on wireless which can transmit data across the forest. To detect the presence of fire, Arduino Uno is used as a microcontroller that regulates input from the AMG8833 sensor and GPS Ubox 6M. The experiment shows that the AMG8833 sensor is more sensitive in detecting the presence of fire as the catch range changes between 3 to 10 meters. In that distance range, hotspots were detected 19.25 oC to 122.5 oC when testing the sensor node is done. The monitoring system developed in this study demonstrated that sensor nodes and gateways could communicate up to 500 meters apart with a signal quality of -134 dBm. The best LoRa configuration mode for this communication capability is a Bandwidth of 250, a Code Rate of 4/5, and a Spread Factor of 10

Automatic Voltage Regulator as a Voltage Control in 1 Phase Axial Generator System

A constant output voltage on a generator is very important to produce the expected power supply. Changes in the output voltage of a generator are influenced by various disturbing factors, one of which is load and Rotations Per Minute (RPM) which are not always constant. Therefore we need a special regulator equipment to keep the generator output voltage constant. The problem of voltage instability during load changes must be overcome to keep the voltage constant, so that equipment is needed that can control the voltage stability. This tool is the Automatic Voltage Regulator (AVR). The purpose of this study is to design a voltage control device in a single phase axial generator system. The research method used consists of 3 stages, namely: 1). Design and design of tools, 2). Stages of making tools, 3). Stages of testing the tool. The results of the research were obtained when an axial generator with an inner air gap of 0.4 cm, outer 0.5 cm and rpm 2589. The output voltage of the generator began to decrease significantly until it reached -70 volts and rpm also decreased to -200. In contrast, when the generator is operated using the AVR, the reduction only reaches -30 volts. However, when the generator is operated with AVR, the decrease in rpm is greater until it reaches -220

Analysis of the local energy potential connection with power plants based on archimedes turbine 10 kW

Research on the availability of water potential for the development of power plants with various scales and types of power plants has been done. Since most existing water sources have small discharges and low heads, this study aimed at designing a micro-hydropower center as one of the ways the electrical energy crisis could be avoided, with one of the renewable energy potentials, namely the potential energy of water in Micro Hydro Power Plant. Further studies were related to water resources to Micro Hydro Power Plants (MHPP) construction, especially Archimedes screw turbines guide parameters that corresponded to flow velocity, channel cross-section, and flow volume. It aimed to connect the local energy potential to the output power of the Archimedes screw turbine. The methods used for this study were 1. Observation 2. Data collection, and 3. Data Analysis. The study was carried out using an observation method that adopted field data collection techniques assisted by measuring equipment to collect data coverage that refers to related parameters. The power available on the channel resulted was 946 kW, and the power generated in the turbine was 5.9 kW

Monthly rainfall prediction based on artificial neural networks with backpropagation and radial basis function

Two models of Artificial Neural Network (ANN) algorithm have been developed for monthly rainfall prediction, namely the Backpropagation Neural Network (BPNN) and Radial Basis Function Neural Network (RBFNN). A total data of 238 months (1994-2013) was used as the input data, in which 190 data were used as training data and 48 data used as testing data. Rainfall data has been tested using architecture BPNN with various learning rates. In addition, the rainfall data has been tested using the RBFNN architecture with maximum number of neurons K = 200, and various error goals. Statistical analysis has been conducted to calculate R, MSE, MBE, and MAE to verify the result. The study showed that RBFNN architecture with error goal of 0.001 gives the best result with a value of MSE = 0.00072 and R = 0.98 for the learning process, and MSE = 0.00092 and R = 0.86 for the testing process. Thus, the RBFNN can be set as the best model for monthly rainfall prediction

Vessel Tracking System Based LoRa SX1278

This research presents a vessel tracking system that provides real-time coordinate and speed information. The idea behind the development of this system originated from Automatic Identification System (AIS) technology, which functions as a vessel monitoring system in maritime areas. The system aims to improve navigation safety, monitor vessel traffic, and maritime security. In Indonesia, AIS is regulated by the Ministry of Transportation. However, this technology has not yet been implemented in river waters. In addition, AIS is a complex and expensive system. In this research, geographic location detection information in the form of a vessel tracking system is obtained using the UBlox Neo-6M GPS module based on LoRa technology. The LoRa mechanism periodically sends location data and vessel speed from the node to the gateway. The data is then sent to the ThingSpeak server using the MQTT protocol. On the server, the data can be accessed for further analysis. The developed system shows that the research can be realized and the system functions properly through a series of experimental tests. While in the in situ test, the system displayed good performance on LoRa SF 7 configuration with a signal strength of -118 dBm within the communication range of 1000 meters. This result can be improved by considering the MAPL value of -138 dBm