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Rancang Bangun Sistem Pendingin Mesin Mobil Menggunakan Pengendali Logika Fuzzy Priyojatmiko, Purwanto; Musafa, Akhmad
Prosiding Seminar Nasional Teknoka Vol 1 (2016): Prosiding Seminar Nasional Teknoka ke - 1
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Makalah ini membahas perancangan sistem pendingin mesin mobil menggunakan pengendali logika fuzzy (FLC). Sistem akan mengatur kecepatan putar kipas radiator disesuaikan dengan kondisi suhu air radiator dan suhu ruang mesin yang dideteksi menggunakan sensor PT100. Masukan dari sensor suhu akan diolah oleh mikrokontroler menggunakan algoritma kontrol logika fuzzy. Keluaran control logika fuzzy berupa sinyal PWM yang akan digunakan untuk mengatur putaran kipas pendingin radiator. Dari hasil pengujian, dalam kondisi tanpa gangguan sistem dapat bekerja dengan baik dengan nilai steady state error sebesar 10 C (0.012%). Dalam kondisi system diberi gangguan berupa suhu ruang mesin bergerak naik, sistem dapat bekerja dengan baik dengan nilai steady state error sebesar 10 C (0.012%). Sedangkan ketika sistem diberi gangguan berupa suhu ruang mesin bergerak turun, system dapat bekerja dengan baik dengan nilai steady state error sebesar 20 C (0.024%).
RANCANG BANGUN TIMBANGAN DIGITAL DENGAN FASILITAS KLASIFIKASI INDEKS MASSA TUBUH MENGGUNAKAN ALGORITMA LOGIKA FUZZY Nurroqim, Alfian; Musafa, Akhmad
MAESTRO Vol 4 No 2 (2021): Edisi Oktober 2021
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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Abstract

In general, there is already a way to calculate the value of Body Mass Index (BMI). But the determination in this way is very rigid, because if there is a small difference in value it can result in differences in BMI status. Using fuzzy logic can give tolerance to the BMI value, so that if there is a small change it will not cause a significant difference in BMI status. In this final project, a digital scale is designed which is equipped with facilities for determining BMI using the Mamdani fuzzy logic algorithm based on the results of measurements of height and weight. Measurement of height using an ultrasonic sensor while measurement of weight using a load cell sensor. The input height and weight from sensor readings will be fuzzified into linguistic variables using a membership function, and fuzzy output in the form of BMI values ​​which are fuzzified into firm values ​​using linguistic variables from the input membership function. The implication function is performed using the MIN function and the rule composition using the MAX function. The fuzzy BMI is defuzzified using the center of gravity method. System testing was carried out using 7 data samples with a height of 50 cm to 200 cm and a weight of 10 kg to 120 kg. In this system, the BMI value is not only displayed on the LCD but also in the form of sound using speakers. The test results show that there are differences with the results of BMI calculations using firm logic as a reference, overall there is an average error of BMI results using firm logic with fuzzy logic of 19.35%.
MPPT System Using Incremental Conductance for Solar Cell in Normal and Partial Shading Conditions Pramudya Widyantoro; Rummi Sirait; Akhmad Musafa
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1983

Abstract

In this research, MPPT (maximumpower point tracking) system has been created onsolar cells to get maximum power from solar cells.The designed system consists of 200 watt solar cells,voltage sensors, current sensors, microcontroller, DCDCconverter,andresistiveloads.TheMPPTsystem created uses incremental conductance algorithm toset the switching duty cycle on the DC-DC converter,with input parameters in the form of ΔV and ΔI toproduce maximum power. This system is tested onsolar cells with normal or partial shading conditionsand under conditions of shadow-covered solar cells of8%, 16%, 30%, 41% and 50% with a load of 10 Ohm,25 Ohm, and 35 Ohm. The results obtained that theMPPT system can stabilize the output power of solarcells both under normal and shadow conditions andare able to maintain output power when there is achange in input power with the maximum efficiencyof the MPPT system at a load of 10 Ohm of  78,38%with a standard deviation at the input power of 12,68and standard deviation at output power of 7,74.Maximum efficiency at 25 Ohm load of 80,23% withstandard deviation at input power of 3,59 andstandard deviation at output power of 2,90.Maximum efficiency at 35 Ohm load is 82,7% withstandard deviation at input power of 4,14 andstandard deviation at output power of 3,29.
PERANCANGAN DAN PENERAPAN KENDALI LOGIKA FUZZY PADA LEMARI PENGERING PAKAIAN.docx Dendy Apriyana Anjasmoro; Akhmad Musafa
MAESTRO Vol 1 No 1 (2018): APRIL 2018
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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Abstract

Pada penelitian ini dirancang sistem kendali logika fuzzy yang diterapkan untuk mengatur kelembaban udara pada lemari pengering pakaian. Sistem terdiri dari lemari pakaian, rangkaian board kontroler Arduino MEGA2560, 4 rangkaian sensor suhu dan kelembaban, elemen pemanas, rangkaian solid state relay, kipas, blower, keypad dan LCD. Logika fuzzy yang digunakan adalah fuzzy mamdani. Input kendali logika fuzzy adalah kelembaban udara di dalam lemari pengering pakaian. Output yang dihasilkan oleh kendali fuzzy logic adalah nilai PWM 0-255 yang akan digunakan oleh rangkaian solid state relay untuk mengatur tegangan AC yang dicatu ke elemen pemanas. Masing-masing variable input dan output difuzzifikasi menjadi lima fungsi keanggotaan. Metode defuzzifikasi yang digunakan adalah Max Membership Principle. Hasil pengujian menunjukkan bahwa alat pengering pakaian dapat mengeringkan pakaian basah dengan kelembaban awal 93%RH mencapai kondisi pakaian kering dengan kelembaban sebesar 60% RH sesuai dengan set point.
PENGENDALIAN SUHU DENGAN METODE PID PADA ALAT PENETAS TELUR Zacky Yarfa'ul Ahla; Akhmad Musafa
MAESTRO Vol 2 No 2 (2019): Edisi Oktober 2019
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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Control becomes important as a deciding success in a process. One of which is a system that controls the temperature of the egg hatch using a mega Arduino 2560. The purpose of this system is to reduce failure during hatching of chicken eggs. At this final task will be discussed about temperature control by using the PID on the egg hatch tool. In the design of the tool this time using the LCD 20 x 4, sensor DHT2, Driver motor IBT-2, PTC Ceramic Air Heater with a power of 170 watts and a 12-volt, Fan 12 VDC with a size 12 cm x 12 cm. Component PTC Ceramic Air Heater and DC fan will be assembled into a A range of controls using the PID algorithm with a programming language using the language C. The automation done is by measuring the temperature in the egg hatching room with a setpoint value of 36 ° C-39 ° C. Temperature measurements are carried out using the DHT22 sensor, then tunning the PID with a heuristic method so that the overall test is obtained by the result of a comparison system response between normal temperature and AIR conditioned room temperature. The process Indicates the performance of the system works well in accordance with the value of the temperature that can be maintained at SetPoint, where the temperature value is estimated to hatch eggs. Keywords: Arduino Mega 2560, LCD 20 x 4, DHT22, PTC Ceramic Air Heater, Fan DC, Motor Driver IBT-2, PID.
Perancangan Sistem Mppt Untuk Dua Turbin Angin Kapasitas 300 Watt Pada Kondisi Kecepatan Angin Rendah Menggunakan Metode Perturb & Observe (P&O) Muhammad Fadli Arief; Akhmad Musafa
MAESTRO Vol 2 No 2 (2019): Edisi Oktober 2019
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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In this research modeled design MPPT system for two wind turbines at low wind speed conditions using the method Perturb & Observe. This method is used to find the maximum power value of the system of two wind turbines that have been designed. The design has been created in simulation using the MATLAB software by utilizing the Simulink facility, consisting of modelling two wind turbines with a Permanent Magnet Synchronous Generator (PMSG), rectifier, Buck boost converter, and two Wind turbine with MPPT P&O. The simulation is done with the varying wind speeds gained at the time of testing the wind energy potential at the Universitas Budi Luhur area Rooftop Unit 7 floor 6, with varying resistive loads. Simulated results show that testing two wind turbines without MPPT can produce an output power of 1.05 watts and for a system of two wind turbines with MPPT generating a output power of 7.17 watts. In the condition of wind speed of 5.4 m/s for the load value varies from 5 ohm to 30 ohm, average difference in voltage, current and power between systems without MPPT and system with MPPT is 6.28 volts, 0.45 ampere and 5.22 watt.
PERANCANGAN SISTEM KONTROL SUHU BEDPLATE DAN HOTEND PADA PRINTER 3D MODEL REPRAP Tri Aji Saputra; Akhmad Musafa
MAESTRO Vol 3 No 2 (2020): Edisi Oktober 2020
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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Abstract

In this final project, a reprap model 3D printer has been designed. This system is designed so that the temperature of the 3D printer heater can work stably at the reference temperature for hotend 2000C and for the base plate with a reference temperature of 700C. The components used as heaters in this 3D printer are ceramic heater and NTC thermistor sensor. This tool consists of several components such as Arduino ATMega 2560, Ramps 1.4, stepper motor, Filament, hotend, and heatbed. For the printing process, a control system on the 3D printer heater is needed so that the filament can be evenly liquid. In this temperature control system uses two methods, the PID method and the On / Off method as a comparison to the quality of the printing results. When the heater on the 3D printer is energized according to the reference temperature, the sensor will measure the sensor readings and will be compared with the reference value. The results of the comparison are in the form of an error signal which will be processed on the PID controller. The output of the PID is in the form of a PWM signal which is used to heat the 3D printer. As for the controller using the On / Off method the output of the microcontroller is a high and low signal. When the sensor reads the temperature above the reference temperature, the output from the micro controller is a low signal. If the sensor reads the temperature below the reference temperature value, the output from the microcontroller is a high signal. The results of the comparison between the PID method and the On / Off method produce printing quality on a 3D printer with better results using the PID method. Because the temperature on the heater is more stable so that the melting results on the filament are relatively the same.
Sistem Kontrol Gerak Kaki Robot Dengan Memperhatikan Kondisi Suhu Motor Servo Pada Bagian Lutut Robot Humanoid Aris Prihatin; Akhmad Musafa
MAESTRO Vol 2 No 2 (2019): Edisi Oktober 2019
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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ABSTRACT In this final task is discussed system is designed using an innate Bioloid Type-A robot with 18 servo dynamixel AX-12 A. With the dimensions of the humanoid robot range of arms has a length of 22 cm and a height of 56 cm robot. Each joint is moved by one servo motor. The electronic system consists of a CM-530 controller, AX-12A dynamixel servo motor, temperature sensor on the dynamixel ID13 and ID14 servo motor. In testing the motion of the walking robot does not pay attention to the temperature condition of the servo motor, the robot managed to walk straight with a distance of 180 cm, but at a distance of 180 cm fell with the results of reading serial monitors ID13& 4 = 47°C and 42°C. At a distance of 20 cm, servo temperatures ID13&14 = 32°C and 31°C. At a distance of 40 cm, servo temperatures ID 13 & 14 = 34°C and 32°C. At a distance of 60 cm, servo temperatures ID 13&14 = 37°C and 34°C. At a distance of 80 cm, servo temperatures ID 13&14 = 38°C and 36°C. At a distance of 100 cm, servo temperatures ID 13&14 = 40°C and 37°C. At a distance of 120 cm, servo temperatures ID 13&14 = 41°C and 37°C. At a distance of 140 cm, the temperatures ID 13&14 = 44°C and 40°C. At a distance of 160cm, the temperatures ID 13&14 = 46°C and 41°C. At a distance of 200 cm, temperatures ID 13&14 = 49°C and 44°C. the robot motion test runs by observing the temperature condition of the servo motor, the robot manages to walk straight with a distance of 60 cm, the temperature of the serial monitor reading ID 13 & 14 = 41°C and 47°C, but at a distance of 60 cm the robot turns right toward a distance of 100 cm , servo temperatures ID13&14 = 44°C and 52°C. The robot goes straight back a distance of 100 cm to 200 cm. At a distance of 20 cm the robot runs, servo temperatures ID 13&14 = 37°C and 42°C. At a distance of 40 cm, servo temperatures ID 13&14 = 39°C and 44°C. At a distance of 60 cm, servo temperatures ID 13&14 = 41°C and 47°C. At a distance of 80 cm, with servo temperatures ID 13&14 = 42°C and 49°C. At a distance of 120 cm, servo temperatures ID 13&14 = 44°C and 52°C. At a distance of 140 cm, servo temperatures ID 13&14 = 45°C and 52°C. At a distance of 180 cm, servo temperatures ID 13&14 = 47°C and 54°C. At a distance of 200 cm, servo temperatures ID 13&14 = 48°C and 55°C.
SISTEM KONTROL PENCATUAN DAYA PADA BEBAN LISTRIK ARUS BOLAK-BALIK ANTARA SISTEM SOLAR CELL DAN JARING PLN SATU FASA Ahmad Syamsul; Akhmad Musafa
MAESTRO Vol 2 No 1 (2019): Edisi April 2019
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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Abstract

The Final Project, a system of alternating electric current power is designed between a solar cell system and a single phase PLN net. The system designed consists of 2 units of 50 wp solar cell capacity that are connected parallel, 1 unit buck boost converter, 1 unit 300 watt inverter, 1 unit Arduino MEGA 2560 controller board, 3 voltage sensor units, 2 current sensor units, 1 relay unit 4 channels, 1 unit up to an adapter card, 1 unit charge controller and 1 unit battery. The working method of this system is that the solarcell circuit generates voltage and current connected to the DC-DC converter input will be detected by a voltage sensor and current sensor, as analog signal input to the Arduino Mega 2560 controller board. Where is the P&O MPPT algorithm on the Arduino Mega 2560 controller board will produce an output signal in the form of a PWM duty cycle to control the output of the DC-DC converter. The DC-DC converter output connected to the inverter to be converted into AC voltage, will be re-detected by the voltage sensor and current sensor as analog signal input to the Arduino Mega 2560 controller board. Where the switching algorithm in the Arduino Mega 2560 controller board will produce HIGH or LOW as input from relay circuit. The relay circuit will switch the voltage and current from the DC-DC converter or battery to the inverter or from the pln source 220 volts to the load. The output power in the DC-DC converter with an average efficiency of 44.20%. The solar cell system that uses a source of 2 50wp solar cell units is arranged in parallel with a 12 volt 50Ah backup battery with a 96 watt load from 4 24 watt lamp units can supply a load for 40 minutes in 1 hour with the average output power of the solar cell at 9.48 watts.
SISTEM KOORDINASI UNTUK PENGAMBILAN KEPUTUSAN PADA ROBOT SEPAKBOLA BERODA Zaky Wafa Albahari; Akhmad Musafa; Indra Riyanto; Sujono Sujono
MAESTRO Vol 3 No 2 (2020): Edisi Oktober 2020
Publisher : FAKULTAS TEKNIK UNIVERSITAS BUDI LUHUR

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Wheeled robot soccer matches have problems, one of which is the ability to coordinate. Because in a one-wheeled soccer robot match a team consists of several robots, then cohesiveness is the deciding factor to produce a good game. To produce good cohesiveness, coordination between robots is needed. In this final project a coordination system for decision making in a wheeled soccer robot team is designed. This research was conducted by simulating three robot units, one coordinator robot unit and two member robot units, with the addition of 3 silent robot opponents. The main concept of this research is the action taken by each robot in the team is the result of the decision of the coordinating robot. Robot members have two jobs in the team, namely sending all match situation data read by the sensor to the coordinating robot, and executing commands for each robot that is determined by the coordinating robot. The coordinating robot gives commands to each robot based on all match condition data collected by all robots. To avoid other robots in the team when moving, sin and cos rules are used. Meanwhile, to avoid opposing robots as well as path planning using Dijkstra’s Algorithm. The results of this study the robot managed to move in a coordinated manner that is only moving the robot that is most suitable for action. While the other robots are prepared to wait for conditions suitable for him to take action. Besides robots can also move without crashing into other robots both robots in the team and the robot opponent. In various cases carried out in testing, the robot takes from 3 to 5 seconds to do its job.