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DESIGNING A SINGLE PHASE INVERTER TO CALCULATE PUBLIC ROADS LIGHTING EFFICIENCY USING SODIUM LAMP TYPES Apriani, Yosi; Barlian, Taufik; Danus, Muhar; Sofian, Ian Mochamad; Hidayat, Fahmi
FRONTIERS: JURNAL SAINS DAN TEKNOLOGI Vol 1, No 3 (2018): DESEMBER 2018
Publisher : Universitas Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1057.741 KB)

An inverter is a circuit which converts the AC voltage into DC voltage. Current use of inverters is very large, especially in industries, offices and housing. Even though now there are many inverter markets, but many are used for household loads, no one uses an inverter for roads lighting system namely sodium lamp because it requires a high frequency and voltage Then the surveyors placed a single phase inverter from the sodium lamp. Single phase inverter tool designed produces a voltage of 10,000 V, Amperage current of 0.20 A and 2000 w Power when tested against overloaded and not overloaded inverter, the results are quite good but in the design and manufacture of a single phase inverter is still lacking, which is only able to start the initial lighting of the sodium lamp because the current is small and the resulting voltage is unstable.Keywords: Single phase inverter, electrical energy, public road lighting, sodium lamp.

Analysis of the local energy potential connection with power plants based on archimedes turbine 10 kW Apriani, Yosi; Saleh, Zulkiffli; Dillah, Riyan Kurnia; Sofian, Ian Mochamad
Journal of Robotics and Control (JRC) Vol 1, No 5 (2020): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1533

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.

Automatic Voltage Regulator as a Voltage Control in 1 Phase Axial Generator System Apriani, Yosi; Saleh, Zulkiffli; Suppermen, Suppermen; Sofian, Ian Mochamad
Journal of Robotics and Control (JRC) Vol 2, No 5 (2021): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.25118

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.

Monthly rainfall prediction based on artificial neural networks with backpropagation and radial basis function Ian Mochamad Sofian; Azhar Kholiq Affandi; Iskhaq Iskandar; Yosi Apriani
International Journal of Advances in Intelligent Informatics Vol 4, No 2 (2018): July 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v4i2.208

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.

Struktur Struktur Sistem Pemadam Otomatis Dan Pemantauan Kebakaran Kapal Berbasis Internet of Things ian mochamad sofian
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 1 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i1.1444

Many factors cause ship accidents, one of the main causes comes from human error. In addition, events that cause delays in handling fires are delays in information for ship fire warnings. To solve the problem, we conduct research so that ship fires can be quickly detected automatically and monitored from afar. A common problem is that in the territorial waters there is no data communication network so it is difficult to convey information in the event of a ship fire. Therefore, we designed the automatic extinguishing and monitoring of ship fires using LoRa. The detector can activate the APAR automatically if there is a fire and notify on the ground. The ship's fire detector consists of: Arduino Uno, LoRa module, esp, flame, MQ-2, ds18b20. The LoRa configuration applied is BW=125, CR=4/5, and SF=12. With this configuration, our experiment can send data to a LoRa gateway that is 50 m from the sensor node. Meanwhile, the RSSI level received by the gateway is -112.

Design and Implementation of LoRa-Based Forest Fire Monitoring System Yosi Apriani; Wiwin A. Oktaviani; Ian Mochamad Sofian
Journal of Robotics and Control (JRC) Vol 3, No 3 (2022): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i3.14128

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.

Analysis of the local energy potential connection with power plants based on archimedes turbine 10 kW Yosi Apriani; Zulkiffli Saleh; Riyan Kurnia Dillah; Ian Mochamad Sofian
Journal of Robotics and Control (JRC) Vol 1, No 5 (2020): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.1533

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.

The Automatic Monitoring System for WPP, SPP, and PLN based on The Internet of Things (IoT) using Sonoff Pow R2 Yosi Apriani; Muhammad Rama Bagaskara; Ian Mochamad Sofian; Wiwin A Oktaviani; Muhammad Hurairoh
Elinvo (Electronics, Informatics, and Vocational Education) Vol 6, No 2 (2021): November 2021
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

The usefulness of monitoring systems in the electric power system supports the importance of people's work today. One of which is the monitoring system at the generator. The monitoring system for Wind Power Plant (WPP), Solar Power Plant (SPP), and electricity from State Electricity Company (PLN) use IoT (Internet of Things) in the form of Sonoff Pow R2. With the monitoring system on this tool, the parameter values for WPP, SPP, and PLN can be seen and monitored online via a smartphone. The purpose of this research is to design a monitoring system for WPP, SPP, and PLN based on the Internet of Things (IoT) to determine the value of the output power. In addition, this system can distinguish load parameter values when WPP, SPP, and PLN are supplied directly (real time) and monitored online using the Sonoff Pow R2 app and the Ewelink App. This study uses the methodology that started the process of designing and manufacturing systems and designing the wiring that has been formed from the process of making tools and testing results. The results obtained from the experiment show that the current values in WPP, SPP, and PLN that appear on the monitoring screen are stable. The stable condition values are measured and tested when power is used when loading through sonoff. For the power value, the power value in PLN is stable, whereas in WPP and SPP has increased. For the voltage, the voltage value from PLN does not reach 220 V, whereas the voltage value from WPP and SPP reaches a value of 220 V.

Vessel Tracking System Based LoRa SX1278 Yosi Apriani; Wiwin A Oktaviani; Ian Mochamad Sofian
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26385

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.

Vessel Tracking System Based LoRa SX1278 Apriani, Yosi; Oktaviani, Wiwin A; Sofian, Ian Mochamad
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 9 No. 3 (2023): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i3.26385

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.

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