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Penerapan Automatic Transfer Switch Pada Sistem Irigasi Di Desa Rejosari Kabupaten Madiun Yuli Prasetyo; Budi Triyono; Hanifah Nur Kumala Ningrum; Raden Jasa Kusumo Haryo; Nur Asyik H.; Wisnu Muchsin
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol 4 No 2 (2020): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : Dewan Pimpinan Daerah (DPD) Perkumpulan Dosen Indonesia Semesta (DIS) Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/je.v4i2.313

Abstract

Rejosari Village has enormous potential, namely there are many abundant rice fields around the settlement. Rejosari Village is located in Kebonsari District, Madiun Regency. Farmers in Kebonsari village have used a water pump that is used in the rice field irrigation system. However, until now many farmers still use PLN as the main source in running electric motors for irrigation systems. So that farmers often experience power outages due to lack of electrical power. Community service activities through a partnership program for farmer groups in Rejosari Village, Kebonsari District, Madiun Regency are focused on making Automatic Transfer Switch (ATS) panels to convert electrical energy source switches from PLN to sources of solar energy from solar panels. This ATS panel contains a switch that can replace the source of electrical energy in an electric motor that was originally from PLN into an energy source from the Solar Panel. The hope is that with this community service program, farmer groups can obtain electrical energy to power the irrigation system and not depend on PLN. This PKM can also reduce the cost of electricity rates incurred by farmers.
Smart Solar Tracker and Energy Control Based on Internet of Things (IoT) Budi Artono; Kunto Aji Yudhoyono; Raden Jasa Kusumo Haryo; Tri Lestariningsih
Telematika Vol 16, No 1: February (2023)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/telematika.v16i1.2576

Abstract

ndonesia's electricity consumption per capita in 2022 will reach 1,173 kWh/capita sourced from the Ministry of Energy and Mineral Resources. This consumption rate increased by around 4% compared to 2021, as well as a new record high in the last five decades. This must be accompanied by the availability of energy from power plants, especially renewable energy, namely solar energy because this solar power plant is considered safer for the environment and has a minimal maintenance schedule. In addition, it requires maximum utilization of solar panels and a monitoring system in real time so that the reliability of the power plant is maintained, the Smart Solar Tracker and Energy Control Based on Internet Of Things (IoT) are the answer to this problem. This research uses PV (Photovoltaic) as a power source in the system accompanied by a tracker drive in the form of actuators and servo motors that move in the direction of the sun. This IoT is integrated with a database server so officers can monitor and control if the device is damaged. The IoT module in this research uses the ESP8266 which functions for device control and relay. In addition to reading the voltage and current, both incoming and outgoing, use the ACS 712 voltage sensor and current sensor, not only that, there is also an LDR sensor to read the position of the sun.
PV Energy Monitoring and Optimization System with IoT Budi Artono; Raden Jasa Kusumo Haryo; Kunto Aji Yudhoyono
International Journal of Integrative Research Vol. 1 No. 8 (2023): August 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijir.v1i8.203

Abstract

The efficiency of converting sunlight energy into electrical energy which was previously felt to be less effective to be more effective, it is one of the objectives of this study in addition to problems regarding the direction of solar panel trackers which sometimes do not effectively point to the sun so that the energy obtained is less than optimal, then a two-way communication system is made so that it can control and monitor trackers via the internet or what we often know as the Internet of Things (IoT) system. For the research method that researchers use is the research and development method, as a link between the tool and the monitoring system here firebase is used as a database, so that all parameter values in the tool are sent to the database which is then processed and will be displayed on the monitoring website, besides that for control works the other way around, from the website will send a signal to the firebase database which is then forwarded to the tool, we think this is very helpful and simplifies both monitoring and controlling tools in the form of solar panel trackers.
Sistem Monitoring dan Kontrol Penjernih Greywater Bertenaga Photovoltaic Berbasis Internet of Things (IoT) Hanifah Nur Kumala Ningrum; Raden Jasa Kusumo Haryo; Ryan Wicaksono; Yudhi Rizstu Nurcahyanto; Kaisar Bintang Putra
Nucleus Journal Vol. 4 No. 2 (2025): November
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/nucleus.v4i2.4202

Abstract

Water pollution due to human activities causes high levels of household wastewater called greywater. To reduce the impact of water pollution from greywater, wastewater needs to be processed to be safer for the environment. By utilizing technology and independent energy sources from Photovoltaics, a system was created that can purify wastewater and can be controlled and monitored using the Internet of Things. The research entitled "Monitoring and Control System for Photovoltaic Powered Greywater Purifiers Based on the Internet of Things (IoT)" aims to monitor and control water to obtain processed wastewater that produces cleaner water quality. This system can monitor battery charging for pump sources on filters in real time using IoT integrated with an Android application. The way this tool works is by utilizing the ESP8266 nodeMCU as a communication intermediary, Arduino as the tool control center, relays for control, voltage sensors to detect battery and pump voltage, ACS712 sensors to detect charging and pump currents, turbidity and pH sensors to detect water conditions. The results of this research are that the system can monitor water conditions, voltage, and pump current when filtering while controlling the pump based on water conditions, as well as monitoring the charging voltage and current from the PV to the battery.