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Journal : Jurnal Fortech

Perencanaan Pencahayaan Lampu Jalan Dengan Simulasi Dialux Untuk Efisiensi Energi Lutfi Cahyanto, Iqbal; Ali, Machrus; Nurohmah, Hidayatul
Jurnal FORTECH Vol. 6 No. 1 (2025): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v6i1.6102

Abstract

Good street lighting planning is essential, especially in areas prone to accidents and crime. Good street lighting can reduce the risk of accidents and increase the sense of security in public areas, providing security, convenience, and comfort for road users, especially at night or in bad weather conditions. However, street lighting is often a significant source of energy consumption. Therefore, optimising the street lighting system to improve energy efficiency is necessary. The study results showed that the existing lighting system using 250 W high-pressure sodium (HPS) lamps has weaknesses in terms of energy efficiency and light distribution quality. Simulations using Dialux showed that the average luminance of existing lighting only reached 0.6 cd/m² with a uniformity level of 0.4, and energy consumption reached 20,000 W along the road. Lighting optimization using 120 W LED lamps provides significant improvements in energy efficiency and lighting quality. The average luminance increased to 0.8 cd/m² with a uniformity of 0.6, while energy consumption decreased by 52%, from 20,000 W to 9,600 W. In addition, the glare level decreased from 30 to 25, indicating an increase in visual comfort. These results indicate that the implementation of LED lights can not only improve the quality of street lighting but also have a positive impact on energy efficiency and reduced operating costs.
Optimasi Sistem Kontrol Mesin Penetas Telur Menggunakan Sensor Suhu dan Kelembaban Udara Askan, Askan; Ali, Machrus; Kadaryono, Kadaryono; Muhlasin, Muhlasin
Jurnal FORTECH Vol. 3 No. 1 (2022): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v3i1.101

Abstract

The hatching machine is one of the media in the form of a box with such a construction so that the heat inside is not wasted in vain. The temperature inside the box can be adjusted according to the degree of heat required during the hatching period. In the field of animal husbandry, especially in duck farming, the problem faced is how to incubate chicken eggs in large quantities and at the same time. The DHT sensor is a sensor package that functions to measure air temperature and humidity at the same time which includes an NTC (Negative Temperature Coefficient) type thermistor to measure temperature, a humidity sensor with resistive characteristics to changes in water content in the air and a chip inside which performs several conversions. analog to digital and outputs in a single-wire bi-directional format. The DHT sensor is used to determine the temperature in the room. An automatic monitoring system for temperature and humidity of a room (egg incubator) using a DHT11 sensor. The DHT11 sensor has many advantages, the response speed is quite fast, has good resistance to interference and is quite cheap in price. The choice of the microcontroller that became the brain of this controller fell on the Arduino UNO. For heating the incubator, 2 lamps with a power of 75 watts are used. The incubator room is equipped with 1 fan for air circulation.Circuit testing is done by turning on the power for the entire circuit and then the LCD display displays the air temperature and humidity that have been measured by DHT11 and sent serially. In this study the results obtained that the room temperature is stable, namely 38 C.
Desain Optimasi PID Controller Pada Temperatur Heating Furnace Berbasis Ant Colony Algorithm (ACO) Kusuma Apsari, Venda; Ali, Machrus; Nurohmah, Hidayatul; Rukslin, Rukslin
Jurnal FORTECH Vol. 2 No. 2 (2021): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v2i2.204

Abstract

A furnace is a tool for heating materials, oil, and so on, which usually uses gas, coal, and oil as fuel. Temperature is the main parameter that needs to be controlled in order to remain stable, precise, and of course improve fuel efficiency. As technology develops, there are several methods that can be used to control temperatures that are more reliable than conventional controls. The technology is Proportional Integral Derivative (PID) controller. PID controllers have been proven to be the best controllers and are widely used in industry. But to determine the gain from the PID value is still not accurate and can affect temperature stability, the response is also still slow to reach the desired set point. Therefore, this paper is to simulate a better PID gain value by using the artificial intelligence tuning method. The artificial intelligence method is Ant Colony Optimization (ACO). The simulation results and discussion show that the best design is PID-ACO with 0.0081 overshot, no undershot, and the fastest settling time is 35 seconds
Perencanaan Lampu Penerangan Jalan Menggunakan Turbin Angin Sumbu Vertikal Savonius Usman, Mualifi; Kadaryono, Kadaryono; Dwi Hariska, Maulana; Ali, Machrus
Jurnal FORTECH Vol. 4 No. 2 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i2.4204

Abstract

Electricity is a basic need for almost all human beings, electricity is the main requirement in all economic activities and human activities. The diminishing availability of fossil fuels requires alternative energy sources that can meet energy needs. In this research, a micro-scale power plant for street lighting was developed, using a vertical wind turbine. To obtain mechanical energy from wind power, a vertical wind turbine of the Savonius type was developed. A single phase rectifier is used to convert the generator's mains voltage into direct current which is supplied to the battery for energy storage purposes. An LDR (Light Dependent Resistor) based automatic switch is used which functions to turn on the lights when it is dark. With the alternative of using a wind turbine for street lighting, it has the advantage of being able to keep generating electricity 24 hours a day, as long as there is wind from the vehicles passing through it. After doing research, this wind turbine can produce a voltage of 12.2 volts at a wind speed of 3.85 m/s, suitable for use in small-scale power plants. This type of power plant can be further developed on a larger scale so that it can be utilized to supply electrical energy needs in areas that are still not covered by electricity
Optimasi Kontrol Suhu Tungku Pemanas Menggunakan Metode Firefly Algorithm (FA) Rizal Anas, Febrian; Ajiatmo, Dwi; Nurohmah, Hidayatul; Ali, Machrus
Jurnal FORTECH Vol. 4 No. 2 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i2.4203

Abstract

A furnace is a piece of equipment used to heat or change shape. Process control is becoming increasingly important in industry, as a consequence of global competition. Year after year, furnaces have progressed in both industrial processes and equipment. The tuning process ensures that system performance meets operating objectives. Intelligent control based on Artificial Intelligent (AI) has developed a lot to improve conventional control to control voltage loads and is always under constant variable assessment. The research results show that the best optimization method is produced by the PID-FA method which produces overshoot = 0.0721, undershoot 0.0081, and settling time at 30.4283 seconds. The PID-FA method produces better performance, according to the desired settings, so that fuel use can have a high level of efficiency
Rekonfigurasi 33 Kanal Irigasi Menggunakan Modified Firefly Algorithm (MFA) Siswanto, Markhaban; Arfaah, Saiful; Rukslin, Rukslin; Muhlasin, Muhlasin; Ali, Machrus
Jurnal FORTECH Vol. 4 No. 1 (2023): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v4i1.4106

Abstract

Providing irrigation water on agricultural land aims to meet plants' water needs. In its use, irrigation water must be used optimally. An automatic irrigation system is needed to provide water to plants in the desired conditions. The irrigation canal system is a simulation system using a software program Matlab 2013b. Reconfiguration simulations applied to irrigation systems are used to increase efficiency and determine the amount of irrigation water to regulate the provision of irrigation water according to needs. As a controller comparison, an artificial intelligence method is used for controller tuning based on the Modified Firefly Algorithm (MFA). The furthest water discharge results can be reduced in the reconfiguration model with a minimum discharge before reconfiguration of 0.91308 pu, and after reconfiguration, it becomes 0.93337 pu. So by reconfiguring the network with MFA, you can reduce water discharge losses by 30.3337% from previous losses
Penerapan SMES untuk Load Frequency Control pada PLTMH Menggunakan Ant Colony Optimization Faisal, Faisal; Ruswandi Djalal, Muhammad; Ali, Machrus
Jurnal FORTECH Vol. 5 No. 1 (2024): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v5i1.5101

Abstract

This research proposes an additional controller for load frequency control at a micro hydro power plant using PID-SMES. The PID-SMES parameters are optimized using smart methods called Ant Colony Optimization (ACO), which could find the optimal value of PID-SMES. In this paper four control approaches are compared which are P, PI, PID, SMES, and PID-SMES. From the simulation results, it can be obtained that overshoot of P controller is -0.0002193, with PI Controller is -0.0002183, with PD Controller is -0.0002139, with PID controller is -0.0002129, with SMES controller is -0.0001958, and with PID-SMES is -4.187e-05. ACO optimization results obtained fitness function value of 7.15e-09, with 50 iterations. The minimum value of the system performance function at each iteration is plotted on the convergence graph. In the simulation result, it can be concluded that the ACO algorithm could be quickly convergence on the 14th iteration or find the most optimal value at the 9th iteration. The PID-SMES controller proposed in this study has a significant influence in the damping of the oscillation of frequency deviation. Therefore, PID-SMES is appropriate to be applied to micro-hydro power plant.
Flower Polination Algorithm Sebagai Optimalisasi LFC Pada Hybrid Pembangkit Wind-Diesel Ali, Machrus; Siswanto, Agus; Baehaqi, Mudofar
Jurnal FORTECH Vol. 5 No. 1 (2024): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v5i1.5106

Abstract

As input power, the amount of wind and wind speed greatly influences the wind power generation system. A combination of a wind-diesel power generation system is needed to obtain optimal power quality. A hybrid system is a controlled network of multiple renewable energy generators such as wind turbines, solar cells, micro-hydro, and so on. Gain settings that are not optimal and the time constant is small in Load Frequency Control (LFC), causing its ability to be weak (weak line). In practice, the wind-diesel system is controlled with a PID controller. Setting the gain value of the PID is still in the conventional method, so it is difficult to get the optimal value. In this research, a control design was implemented using the Smart Method to find the optimum value of the Proportional Integral Derivative (PID) based on the FPA (Flower Pollination Algorithm). For comparison, methods were used without control methods, conventional PID methods, PID Auto tuning methods, and FPA (Flower Pollination Algorithm) methods. Wind-diesel modeling uses transfer function diagrams of wind and diesel turbines. This study compares several uncontrolled methods and conventional PID, PID-Auto tuning, and PID-FPA. The results of the research that has been carried out show that the smallest undershoot is -1.187.10-04 for PID-FPA, the smallest overshot is 0 for PID-FPA, and the fastest settling time is 9.827 s for PID-FPA. So it can be concluded that PID-FPA is the best controller in this research. This research can later be continued using other artificial intelligence methods.