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Journal : Foristek

STUDI PEMANFAATAN SALURAN IRIGASI DI DESA PORAME UNTUK PEMBANGKIT LISTRIK TENAGA PICOHIDRO (PLTPH) MENGGUNAKAN GENERATOR SINKRON MAGNET PERMANEN SATU FASE Adam, Ahmad Antares; Amin, Nurhani; Masarrang, Maryantho; Pirade, Yulius Salu; Arifin, Yusnaini; Bunga, Melki
Foristek Vol. 15 No. 1 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i1.749

Abstract

Hydropower plants (PLTA), micro-hydro plants (PLTMH), and pico-hydro plants (PLTPH) in Indonesia use generators with excitation systems to generate fields or magnetic field amplifiers. The use of excitation systems in generators has several drawbacks. In the era of technological development, various types of generators have been developed, one of which is the permanent magnet generator. The Permanent Magnet Synchronous Generator (PMSG) has separate excitation from the synchronous generator and is carried out by permanent magnets to generate the magnetic field instead of coils. This research aims to explore the potential of irrigation channels being utilized as PLTPH using permanent magnet generators. The research method used is the experimental method. The experimental research method is a true experimental method where the equipment is tested and examined. Experimentation involves observation under artificial conditions, where these conditions are created and controlled by the researcher. This study shows that the irrigation channel in Porame Village has the potential to be used as a Pico-Hydro Power Plant (PLTPH) to provide electrical energy as an alternative lighting source, especially at night and during power outages from the national electricity grid (PLN). From the measurement and calculation results, the water flow rate at night is 0.3835 m³/s, with the water power being Pair = 1,901 watts. The type of turbine used is a crossflow turbine, utilizing a permanent magnet synchronous generator.
ANALISA PENGGUNAAN ENERGI ANGIN SEBAGAI PEMBANGKIT LISTRIK ALTERNATIF DI KOTA PALU B., Rosanti; Dewi, Sari; Arifin, Yusnaini; Amin, Nurhani; Mukhlis, Baso
Foristek Vol. 12 No. 2 (2022): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v13i2.145

Abstract

Currently, the energy we use is still using fossil energy. In the future, the need for energy will increase because every year there is a large population growth. If you still use fossil energy and don’t find new energy alternatives, then Indonesia will experience a severe energy crisis and certain places will experience blackouts. One of the efforts so that the wind energy crisis can be minimized is to utilize natural energy that has the potensial to generate energy such as the Wind Power Plant. In this study, planning and simulation of Wind Power Plant were carried out to help reduce the use of fossil energy and help the needs of the community in the Talise Beach area. From the results of the study that the average output of wind turbine production is 1,180/hour winh a maximum production of wind turbines per day of 5,665 kW and the construction system cost (NPC) of Rp. 91,340,660,000. Electrical energy that can be generated from wind turbines by utilizing an area of about 42,021.67 m2 is 10,332,498 kWh/year with a total unfulfilled power of 1,416 kW/year. Lack of power or unmet load can be overcome by the existence of a grid/network.
RANCANG BANGUN SISTEM MONITORING LEVEL PERMUKAAN AIR BERBASIS INTERNET OF THINGS (IoT) Subito, Mery; Blestania, Theresa; Amin, Nurhani; Dewi, Sari
Foristek Vol. 13 No. 1 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.247

Abstract

Indonesia is a country that has two seasons, namely the summer and the rainy season, when the rainy season arrives, the rainfall will be very high which can cause flooding. This can be overcome by technological innovation in the form of tools that can work in real-time to detect the condition of water flow in rivers so that losses due to flooding can be minimized. This tool uses a level sensor with the float magnetic level gauge method which is connected to the ESP32 microcontroller module as a sensor data controller and sends the sensor measurement data values ​​to the IoT platform. The sensor measurement results correspond to the water level in centimeters and are sent to the IoT platforms, namely Blynk and Telegram in real-time. The results of sending data to the Blynk and Telegram applications have an average error value of 1.5%.
RANCANG BANGUN SISTEM MONITORING THERMAL OVERLOAD RELAY PADA MOTOR INDUKSI 3 PHASA Mispan, Mispan; Adam, Ahamd Antares; Amin, Nurhani; Pirade, Yulius S.
Foristek Vol. 13 No. 2 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.326

Abstract

Thermal Overload Relay (TOR) is a tool that works based on heat (temperature) where the flowing current will be converted into heat to affect the bimetal. The length of trip time on the Thermal Overload Relay (TOR) varies depending on the setting value and the magnitude of the load current flowing. This prompted researchers to conduct trials and analyze Thermal Overload Relay (TOR). The research to be carried out here is to conduct a Thermal Overload Relay (TOR) test by adjusting the setting value and giving it more load, then analyzing whether the setting value works according to the setting value. When the motor is loaded, by holding the motor shaft, nothing happens or does not work on thermal overload, because the setting on the thermal overload relay is 2.5 A while the current obtained when the motor shaft is held is 0.40 A
PEMODELAN SOLAR TRACKER DENGAN PENGENDALI PI, PD, DAN PID MENGGUNAKAN MATLAB-SIMULINK DENGAN BEBAN BATERAI Maharani, Putri; Adam, Ahmad Antares; Mukhlis, Baso; Arifin, Yusnaini; Amin, Nurhani; Mardiansyah, Mardiansyah
Foristek Vol. 14 No. 1 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.375

Abstract

A solar tracker is a photovoltaic (PV) system support tool aimed at optimizing solar energy absorption by directing solar cells to follow the movement of the sun.In this research, a solar tracker for PV with battery load model was created using MATLAB-Simulink with each controller, namely Proportional Integral (PI), Proportional Derivative (PD) and Proportional Integral Derivative (PID) and the simulation results were compared. The simulation results show that the PID controller is the controller with the most optimal results because all set point values ​​entered in the output remain the same and the overshoot value is also low, the PD controller is the controller that produces high errors and also overshot reaching 120 V, and the PI controller is the controller that the results are closest to a PID controller where the resulting overshoot value is only around 20%.
SISTEM PINTAR KONTROL AIR CONDITIONER (AC) BERBASIS FUZZY LOGIC DAN PENGARUHNYA PADA KONSUMSI ENERGI LISTRIK Palallo, Tomas; Amin, Nurhani; Arifin, Yusnaini; Sholihah, Ratih mar'atus; Mahmudi, Irwan
Foristek Vol. 15 No. 2 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i2.840

Abstract

The manual use of Air Conditioners (AC) often leads to excessive electricity consumption, as temperature settings are not adjusted to actual environmental conditions. This study aims to design and implement an AC control system based on Mamdani fuzzy logic to automatically regulate room temperature according to thermal comfort standards, as well as to analyze its effect on electricity consumption. The system was developed using four DHT11 sensors connected to an ESP32 microcontroller as the main controller, while energy consumption was monitored using a PZEM-004T sensor and transmitted to the ThingSpeak platform. Experimental results show that the fuzzy logic-based control system was able to adaptively adjust the AC temperature with high accuracy. The application of the system resulted in an energy consumption of 5.01 kWh over three days, compared to 8.87 kWh under manual control. Thus, the system achieved energy savings of 3.86 kWh or 43.82%. These findings demonstrate that applying fuzzy logic to AC control is effective in improving energy efficiency and supporting electricity cost reduction.