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Prototype Monitoring and Controlling of Wastewater Treatment Plant (WWTP) on IoT-Free Output Channels  Iswanto Iswanto; Fachrudin Hunaini; Dedi Usman Effendy
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol 7 No 1 (2023): April
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v7i1.1660

Abstract

The largest water pollution occurs due to the disposal of waste from the industrial sector, while some of it comes from the household sector. In the labor-intensive industrial sector and the household sector, domestic liquid waste is generated. The high level of liquid waste pollution can be overcome by using a wastewater treatment plant (WWTP). Wastewater parameters according to research that has been done, namely pH, Turbidity, and Ammonia are very important parameters and the main priority for the quality of wastewater discharged into the environment. In this study, a prototype monitoring and controlling WWTP on the output channel was designed by measuring wastewater parameters and an Internet of Things (IoT) based pump output control system. This prototype is programmed with 2 mode options, namely auto mode where the controlling system works based on program commands with target limits, namely pH 6 – 9, Turbidity < 300 NTU, and Ammonia < 20 PPM, if the wastewater measurement value is on target, the system activates the outgoing pump. for direct disposal to the environment. Meanwhile, if it does not meet the target, the system activates the treatment pump to return the wastewater back to the WWTP. Then the manual mode, which is the controlling system, works by operating the operator directly to activate the outgoing or treatment pump on a smartphone using the Blynk application. In Auto and Manual mode, wastewater parameters can be monitored on a smartphone using the Blynk application. All sensors used have been calibrated with 2 calibrator solutions. The calibration results show an error value of 0.115 for the pH sensor, an error value of 0.075 for the Turbidity sensor, and an error value of 0.115 for the Ammonia sensor.
Semi-automatic of steer by wire system using fuzzy logic control and swarm optimization Fachrudin Hunaini; Dicky Dikananda Nafis; Purbo Suwandono; Gatot Subiyakto
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i3.pp1394-1402

Abstract

The semi-automatic steer by wire system is a vehicle steering system that does not use a mechanical link but uses an electric drive, so that the steer wheel is equipped with an angle sensor as a control system input to adjust the electric drive rotation when determining the direction of the front wheels of the vehicle. The control system uses fuzzy logic control (FLC) is optimized using swarm-based optimization. Performance testing of the optimal control system is carried out using Software in the loop simulations and hardware in the loop simulations which were then applied to the steering system prototype equipped with rack-pinion and wheel steer. The test results show that the optimal control system performance reaches a C-RMS error of 6.712. The prototype that was built has two kinds of ratios between the steering angle and the vehicle wheel angle, namely a ratio of 1:6.25 for speeds below 10 km/h making it suitable for operation when the vehicle is maneuvering in the parking area and a ratio of 1:25 for speeds above 10 km/h which is suitable for operation when the vehicle is traveling at medium or high speed.
Metode Particle Swarm Optimization Untuk Menentukan Daya Optimal Turbin Gas PLTGU Grati Berdasarkan Heat Rate Mohammad Faris Wahyudi; Sabar Setiawidayat; Fachrudin Hunaini
JASEE Journal of Application and Science on Electrical Engineering Vol. 2 No. 01 (2021): JASEE-March
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v2i01.161

Abstract

Pembangkit tenaga listrik thermal merupakan suatu pembangkit yang menghasilkan energi listrik yang berasal dari energi thermal. Energi thermal bisa dihasilkan melalui pembakaran bahan bakar berupa gas ataupun batubara. Berdasarkan hal tersebut, pada pembangkit tenaga listrik thermal konsumsi bahan bakar sangatlah mempengaruhi biaya produksi energi listrik, sehingga diperlukan suatu teknik pengoperasian pembangkit yang optimum. Salah satunya pada PT Indonesia Power UPJP Perak Grati yang merupakan perusahaan pembangkitan tenaga listrik yang dalam pengopeasiannya memerlukan cara dalam penghematan bahan bakar gas berdasarkan nilai heat rate (Kcal/kWh) khususnya dalam penghematan biaya pokok produksi. Pada penelitian ini Particle Swarm Optimization (PSO) digunakan sebagai metode untuk penentuan daya optimal pada generator Pembangkit Listrik Tenaga Gas (PLTG) Perak Grati. Berdasarkan hasil penelitian, dihasilkan adanya penghematan konsumsi gas antara metode PSO dengan kondisi aktual, dimana saat permintaan daya 310 MW, terjadi penghematan konsumsi gas sebesar 0.5968 BBTU/h atau setara dengan Rp 57.168,00/h.
Perbaikan Faktor Daya Pada Beban Listrik Skala Rumah Tangga Dengan Metode Fuzzy Logic Fachrudin Hunaini; Andhika Ridho Adisyahrudin; Sabar Setiawidayat
JASEE Journal of Application and Science on Electrical Engineering Vol. 4 No. 02 (2023): JASEE-September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v4i02.434

Abstract

The use of electrical energy is very important for household needs. The greater the use of electrical loads, the greater the need for electrical energy. Every electrical load has a power factor. A low power factor value <0.8 causes power and current usage to be less than optimal. This can be caused by the large use of inductive loads such as electric pumps, electric heaters, TL lamps, and so on. To overcome this, it is necessary to improve the power factor by using capacitors. In this paper, power factor improvement is designed using the Fuzzy Logic method as a data processor embedded in the microcontroller to determine the capacitor variable supported by a sensor to read the values of current, voltage, power, cosphi, and frequency in the electric current as input to the microcontroller and a combination of relays as output to determine the best capacitor value so that the power factor is improved to > 0.8.The use of electrical energy is very important for household needs. The greater the use of electrical loads, the greater the need for electrical energy. Every electrical load has a power factor. A low power factor value <0.8 causes power and current usage to be less than optimal. This can be caused by the large use of inductive loads such as electric pumps, electric heaters, TL lamps, and so on. To overcome this, it is necessary to improve the power factor by using capacitors. In this paper, power factor improvement is designed using the Fuzzy Logic method as a data processor embedded in the microcontroller to determine the capacitor variable supported by a sensor to read the values of current, voltage, power, cosphi, and frequency in the electric current as input to the microcontroller and a combination of relays as output to determine the best capacitor value so that the power factor is improved to > 0.8.  
MONITORING DAN CONTROLLING SINKRONISASI MIXER BETON POROS GANDA BERBASIS WIFI Gigih Bagus Nurcahya nurcahya; Fachrudin Hunaini; Diky Siswanto
JASEE Journal of Application and Science on Electrical Engineering Vol. 5 No. 2 (2024): JASEE-September
Publisher : Teknik Elektro - Fakultas Teknik - Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jasee.v5i2.586

Abstract

Currently, the construction sector is increasingly developing among the community and business actors. There are various types or types of products on the market provided by concrete mixer manufacturers, such as double shaft mixers which are more efficient for mixing concrete mix so that homogeneity is well maintained. In concrete mixer products currently circulating on the market, there is no monitoring and controlling system for synchronization in the second gear-box rotation, which can prevent fatality damage from occurring. This research aims to create a synchronization monitoring and controlling tool for a double-axis concrete mixer to minimize damage due to use. In the second round, the gear box is corrected to maintain synchronization with the proximity sensor by sending information to the microcontroller which will be displayed on the LCD in the equipment operator's work area and can be accessed outside the operator's work area via a smartphone based on local WiFi network in the company area. If there is a difference in synchronization between the two gear-boxes, the microcontroller will automatically give a command to the relay to turn off the motor driving the two gear-boxes and it can be turned off directly via smartphone.