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Aswir Premadi
Department of Electrical Engineering, Institut Teknologi Padang, Jl. Gajah Mada, Nanggalo, Padang, 25143, Indonesia
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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Journal : Jurnal Teknologi dan Vokasi

 1 
SISTEM MONITORING SUHU DAN INTENSITAS CAHAYA PADA SOLAR PANEL 3 WP BERBASIS IoT (INTERNET OF THINGS) Alfith, Alfith; Premadi, Aswir; Bachtiar, Antonov; Al Habib, Sayyid
Jurnal Teknologi dan Vokasi Vol 1 No 2 (2023): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2023.1.2.31-38

Abstract

According to the solar insolation map, Indonesia has a daily intensity of solar radiation of 4.8 kW/m per day. The potential of solar radiation is highly exploitable and is the most promising source of energy in the future, the energy generated by the sun is unlimited compared to the increasingly depleting fossil energy sources. Many energy experts are already competing to find new discoveries about environmentally friendly alternative energy sources, one of which is solar cells, although efficiency today still requires further consideration. In this study, the authors used the Wemos module with the ESP 8266 type that can be integrated with the Wi-Fi system as its controller, as well as using a temperature sensor with the DHT11 type to detect the temperature in the room and use the LDR sensor as a light intensity detector or as a lux which can be monitored remotely using an internet connection. Light intensity and temperature monitoring results are obtained with light intensity values and temperature values using the application of the highest value = 1005 lux, the lowest value is = 435 lux. For the highest value of the temperature of = 320 Celsius, for the lowest of = 240 Celsius, in sunlight conditions at peak, the resulting value is the light intensity of 1005 lux and the temperature value of 32 ° Celsius which indicates that the weather conditions are very hot.
PENINGKATAN PERFORMANSI MANUVER GERAKAN ROLL HEXACOPTER DENGAN METODA KENDALI PID ADAPTIF Al, Al; Premadi, Aswir; Effendi, Asnal; Alfith, Alfith; Dasman, Dasman; Syofian, Andi
Jurnal Teknologi dan Vokasi Vol 1 No 2 (2023): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2023.1.2.75-82

Abstract

In the Hexacopter flight control system, there are three very influential movements, namely Pitch, Roll and Yaw movements. Roll movement is very important to note because it affects the direction of the plane's flight. This movement is strongly influenced by the system's dynamic response to changes in hardware characteristics and the influence of changes in wind direction and speed from external systems. For this reason, this research is offered to implement a control system that can adapt to these dynamic disturbances. This study proposes the application of a proportional integral derivative (PID) control system, where constant values can adjust to dynamic changes in the system. These constant values can adjust to changes in errors and delta errors at any time. then a fuzzy logic controller (FLC) algorithm is applied, to make the constant values adaptable. The design of Fuzzification and Defuzzification is based on the maximum error and delta error limits. After real-plant testing, system performance is obtained as follows: settling time = 24mS; peak time 21mS; rise time = 9mS; delay time = 4.4mS; percent overshoot and steady state error = 1%.
PERENCANAAN SISTEM KENDALI MODEL REFERENCE Al, Al; Rahmawati, Gusri; Premadi, Aswir; Effendi, Asnal
Jurnal Teknologi dan Vokasi Vol 2 No 2 (2024): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2024.2.2.37-46

Abstract

The commercial use of drones has increased rapidly in this sector in the last few decades, one of which is the Hexacopter Type Unmanned Aerial Vehicle (UAV). Hexacopter is a flying robot without a pilot that can be controlled manually using a remote control and controlled automatically or on autopilot. The advantage of the hexacopter is its ability to maneuver flexibly, it can move in 8 cardinal directions without needing to turn first. However, despite their advantages, certain hexacopters must continue to fly stably under a variety of changing conditions, such as changing weather, different loads, or changing environmental conditions. For this reason, a control system is needed that is able to adapt to these changes. This condition makes it interesting to carry out experimental and simulation studies, namely designing a hexacopter with Model Referene Adaptive Control (MRAC) control. By using a Model Reference Adaptive Control (MRAC) control system with the main control using PID control, the response given is good and optimal, the system parameters reach the values: rise time (ts) 1.0709 s, delay time (td) 0.99 s, peak time (tp ) 2.6600 s, settling time (ts) 3.9351 s, overshoot (mp) 4.0847 and steady state error 0.0001%. The mathematical analysis of the MRAC control system needs to be studied in more depth so that the MRAC control calculations become more accurate.
PERANCANGAN SISTEM KENDALI HEXACOPTER MENGGUNAKAN FUZZY LOGIC CONTROL Al, Al; Saputra, Arifwindi; Premadi, Aswir; Effendi, Asnal; Dasman, Dasman
Jurnal Teknologi dan Vokasi Vol 3 No 1 (2025): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2025.3.1.87-95

Abstract

The development of hexacopters has progressed significantly in both hardware and software, leading to increased complexity. Despite these advancements, several challenges remain. The nonlinear, multivariable, and dynamic nature of hexacopter systems often results in flight instability, suboptimal precision in movements, and reduced flight duration. To address these issues, this study proposes the implementation of a fuzzy logic control (FLC) system to enhance the performance and stability of hexacopters during flight. The control system aims to minimize rise time, settling time, and overshoot. The research methodology involves developing a mathematical model of the open-loop system using the System Identification Toolbox in MATLAB, optimizing PID values through the PID Tuner, and designing the fuzzy control system based on error and delta error. The open-loop system demonstrates performance metrics of rise time (Tr) 4.60 s, delay time (Td) 2.76 s, peak time (Tp) 6.50 s, settling time (Ts) 5.91 s, and overshoot (Mp) 1.29%. With PID control, the performance improves to rise time (Tr) 3.24 s, delay time (Td) 1.85 s, peak time (Tp) 10.00 s, settling time (Ts) 9.55 s, and overshoot (Mp) 0%. Furthermore, the fuzzy logic controller achieves superior results with rise time (Tr) 3.19 s, delay time (Td) 1.53 s, peak time (Tp) 4.64 s, settling time (Ts) 3.37 s, and overshoot (Mp) 0%.
PERENCANAAN SISTEM KENDALI MODEL REFERENCE Al, Al; Rahmawati, Gusri; Premadi, Aswir; Effendi, Asnal
Jurnal Teknologi dan Vokasi Vol 2 No 2 (2024): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2024.2.2.37-46

Abstract

The commercial use of drones has increased rapidly in this sector in the last few decades, one of which is the Hexacopter Type Unmanned Aerial Vehicle (UAV). Hexacopter is a flying robot without a pilot that can be controlled manually using a remote control and controlled automatically or on autopilot. The advantage of the hexacopter is its ability to maneuver flexibly, it can move in 8 cardinal directions without needing to turn first. However, despite their advantages, certain hexacopters must continue to fly stably under a variety of changing conditions, such as changing weather, different loads, or changing environmental conditions. For this reason, a control system is needed that is able to adapt to these changes. This condition makes it interesting to carry out experimental and simulation studies, namely designing a hexacopter with Model Referene Adaptive Control (MRAC) control. By using a Model Reference Adaptive Control (MRAC) control system with the main control using PID control, the response given is good and optimal, the system parameters reach the values: rise time (ts) 1.0709 s, delay time (td) 0.99 s, peak time (tp ) 2.6600 s, settling time (ts) 3.9351 s, overshoot (mp) 4.0847 and steady state error 0.0001%. The mathematical analysis of the MRAC control system needs to be studied in more depth so that the MRAC control calculations become more accurate.
PERANCANGAN SISTEM KENDALI HEXACOPTER MENGGUNAKAN FUZZY LOGIC CONTROL Al, Al; Saputra, Arifwindi; Premadi, Aswir; Effendi, Asnal; Dasman, Dasman
Jurnal Teknologi dan Vokasi Vol 3 No 1 (2025): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2025.3.1.87-95

Abstract

The development of hexacopters has progressed significantly in both hardware and software, leading to increased complexity. Despite these advancements, several challenges remain. The nonlinear, multivariable, and dynamic nature of hexacopter systems often results in flight instability, suboptimal precision in movements, and reduced flight duration. To address these issues, this study proposes the implementation of a fuzzy logic control (FLC) system to enhance the performance and stability of hexacopters during flight. The control system aims to minimize rise time, settling time, and overshoot. The research methodology involves developing a mathematical model of the open-loop system using the System Identification Toolbox in MATLAB, optimizing PID values through the PID Tuner, and designing the fuzzy control system based on error and delta error. The open-loop system demonstrates performance metrics of rise time (Tr) 4.60 s, delay time (Td) 2.76 s, peak time (Tp) 6.50 s, settling time (Ts) 5.91 s, and overshoot (Mp) 1.29%. With PID control, the performance improves to rise time (Tr) 3.24 s, delay time (Td) 1.85 s, peak time (Tp) 10.00 s, settling time (Ts) 9.55 s, and overshoot (Mp) 0%. Furthermore, the fuzzy logic controller achieves superior results with rise time (Tr) 3.19 s, delay time (Td) 1.53 s, peak time (Tp) 4.64 s, settling time (Ts) 3.37 s, and overshoot (Mp) 0%.
PENGARUH KETINGGIAN DAN KECEPATAN DRONE QUADCOPTER TERHADAP AKURASI PENGUKURAN DATA CUACA BERBASIS SENSOR ANEMOMETER Dasman, Dasman; Ilhamda, Ilhamda; Alpajri, Robby; Al, Al; Premadi, Aswir
Jurnal Teknologi dan Vokasi Vol 3 No 2 (2025): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2025.3.2.136-140

Abstract

The use of drones as a weather monitoring system has seen significant progress, particularly in reaching difficult-to-access areas and collecting real-time atmospheric data. This study aims to analyze the effect of variations in drone altitude and flight speed on the accuracy of weather parameter measurements, such as temperature and wind speed, using an anemometer sensor. The experiment was conducted in an area located approximately 1,800 meters above sea level, by flying a quadcopter drone at altitudes of 50 m, 100 m, and 150 m above ground level. The results show that variations in flight speed affect the stability of wind measurements, while temperature shows high stability at various altitudes. This study confirms the potential of using UAVs to support direct weather observation systems as part of efficient disaster mitigation.
OPTIMALISASI SISTEM KENDALI HEXACOPTER Al, Al; Usmanto, Febri; Premadi, Aswir; Effendi, Asnal; Bachtiar, Antonov
Jurnal Teknologi dan Vokasi Vol 3 No 2 (2025): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2025.3.2.160-172

Abstract

This study aims to develop and analyze the performance of a hexacopter control system used in weather modification technology missions. Several control methods are applied, including PID, Fuzzy Mamdani, Fuzzy Sugeno, and Model Reference Adaptive Control (MRAC). The tests are conducted through simulations in MATLAB Simulink and Mission Planner, using step response parameters such as delay time, rise time, peak time, settling time, overshoot, and steady-state error as performance benchmarks. The results indicate that MRAC provides the most balanced performance in terms of speed and accuracy, Fuzzy Sugeno excels in response speed, while PID and Fuzzy Mamdani offer high stability.
SISTEM MONITORING SUHU DAN INTENSITAS CAHAYA PADA SOLAR PANEL 3 WP BERBASIS IoT (INTERNET OF THINGS) Alfith, Alfith; Premadi, Aswir; Bachtiar, Antonov; Al Habib, Sayyid
Jurnal Teknologi dan Vokasi Vol 1 No 2 (2023): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2023.1.2.31-38

Abstract

According to the solar insolation map, Indonesia has a daily intensity of solar radiation of 4.8 kW/m per day. The potential of solar radiation is highly exploitable and is the most promising source of energy in the future, the energy generated by the sun is unlimited compared to the increasingly depleting fossil energy sources. Many energy experts are already competing to find new discoveries about environmentally friendly alternative energy sources, one of which is solar cells, although efficiency today still requires further consideration. In this study, the authors used the Wemos module with the ESP 8266 type that can be integrated with the Wi-Fi system as its controller, as well as using a temperature sensor with the DHT11 type to detect the temperature in the room and use the LDR sensor as a light intensity detector or as a lux which can be monitored remotely using an internet connection. Light intensity and temperature monitoring results are obtained with light intensity values and temperature values using the application of the highest value = 1005 lux, the lowest value is = 435 lux. For the highest value of the temperature of = 320 Celsius, for the lowest of = 240 Celsius, in sunlight conditions at peak, the resulting value is the light intensity of 1005 lux and the temperature value of 32 ° Celsius which indicates that the weather conditions are very hot.
PENINGKATAN PERFORMANSI MANUVER GERAKAN ROLL HEXACOPTER DENGAN METODA KENDALI PID ADAPTIF Al, Al; Premadi, Aswir; Effendi, Asnal; Alfith, Alfith; Dasman, Dasman; Syofian, Andi
Jurnal Teknologi dan Vokasi Vol 1 No 2 (2023): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2023.1.2.75-82

Abstract

In the Hexacopter flight control system, there are three very influential movements, namely Pitch, Roll and Yaw movements. Roll movement is very important to note because it affects the direction of the plane's flight. This movement is strongly influenced by the system's dynamic response to changes in hardware characteristics and the influence of changes in wind direction and speed from external systems. For this reason, this research is offered to implement a control system that can adapt to these dynamic disturbances. This study proposes the application of a proportional integral derivative (PID) control system, where constant values can adjust to dynamic changes in the system. These constant values can adjust to changes in errors and delta errors at any time. then a fuzzy logic controller (FLC) algorithm is applied, to make the constant values adaptable. The design of Fuzzification and Defuzzification is based on the maximum error and delta error limits. After real-plant testing, system performance is obtained as follows: settling time = 24mS; peak time 21mS; rise time = 9mS; delay time = 4.4mS; percent overshoot and steady state error = 1%.
Co-Authors Al Al Al Habib, Sayyid Al, Al Alfith Alfith Alpajri, Robby Andi Syofian Antonov Bachtiar Asnal Effendi Boonchuan Ng Dasman Dasman Ilhamda, Ilhamda Mohammad Syuhaini Ab-Rahman Rahmat Fajri Rahmawati, Gusri Saputra, Arifwindi Usmanto, Febri Yogi Saputra, Yogi Yusreni Warmi