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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Robotics and Automation (IJRA) International Journal of Applied Power Engineering (IJAPE) Jurnal Sains dan Teknologi Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika IJIET (International Journal of Indonesian Education and Teaching) Aktual : Jurnal Pengabdian Kepada Masyarakat Journal of Fuzzy Systems and Control (JFSC)
Fahmizal, Fahmizal
Universitas Gadjah Mada
Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Public Health

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OTOMATISASI PROSES PRODUKSI CAT BERBASIS SIMULATOR PLC TWIDO TWDLMDA20DTK Fahmizal, Fahmizal; Pratama, Donny Budi; Priyatmoko, Angga; Rahman, M Riza Fauzi
JST (Jurnal Sains dan Teknologi) Vol 7, No 1 (2018)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (536.25 KB) | DOI: 10.23887/jst-undiksha.v7i1.12900

Abstract

Makalah ini bertujuan untuk mensimulasikan implementasi programmable logic controller (PLC) pada mesin otomatisasi produksi cat. Makalah ini pada dasarnya menyajikan proses otomatisasi produksi cat. Secara garis besar, terdapat tiga proses utama yaitu, proses produksi adonan cat, proses pengisian cat dalam kaleng kemasan, dan proses pengepakan kaleng cat ke dalam box. Pada makalah ini, simulasi sistem otomasi produksi cat menggunakan software Twido Suite TWDLMDA20DTK. Simulasi bertujuan untuk meminimalkan biaya operasi dan kesalahan sehingga dapat menghemat biaya dan waktu. Hasil yang diperoleh dari simulasi bahwa sistem telah berjalan berjalan dengan baik dan sesuai dengan seharusnya.
Robot Inverted Pendulum Beroda Dua (IPBD) dengan Kendali Linear Quadratic Regulator (LQR) FAHMIZAL, FAHMIZAL; ARROFIQ, MUHAMMAD; ADRIAN, RONALD; MAYUB, AFRIZAL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 2 (2019): ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i2.224

Abstract

ABSTRAKMakalah ini memaparkan proses pemodelan robot inverted pendulum beroda dua (IPBD) menggunakan dinamika Lagrange. Setelah sistem model robot IPBD diperoleh, teknik kendali optimal dalam hal ini menggunakan linear quadratic regulator (LQR) digunakan untuk melihat step respon sistem dan tanggapan respon sistem terhadap gangguan. Sebelum kendali LQR diimplementasikan, simulasi menggunakan Simulink Matlab dilakukan untuk mendapat parameter gain K pada kendali LQR. Selanjutnya, dengan mengubah-ubah matriks pembobot Q akan diperoleh variasi gain K. Pada penelitian ini dilakukan variasi matriks pembobotan Q sebanyak lima jenis. Sedangkan matriks elemen R dituning dengan nilai satu. Dari hasil pengujian diperoleh bahwa dengan membesarkan pembobotan matriks Q, dihasilkan respon menuju keadaan steady lebih cepat dan overshoot berkurang. Parameter gain K dari hasil simulasi selanjutnya akan diimplementasikan secara embedded programming ke dalam Arduino Uno pada sistem robot IPBD.Kata kunci: Inverted pendulum beroda, Pemodelan, LQR ABSTRACTThis paper describes the process of modeling two-wheeled pendulum inverted robots (IPBD) using the Lagrange dynamics. After the IPBD robot model system was obtained, the optimal control technique in this case using a linear quadratic regulator (LQR) was used to see the system response step and the response of the system response to interference. Before the LQR control is implemented, simulation using Matlab Simulink is conducted to get the gain K parameter on the LQR control. Furthermore, by varying the weighting matrix Q, the gain variation K will be obtained. There are five types of Q weighting matrix in this research and the R element matric is tuned with a value of 1. From the test, obtained results show that by raising the weighting matrix Q is produced a faster response to the steady state and overshoot is reduced. At the final stage, the gain K parameter from the simulation results will be implemented by embedded programming into Arduino Uno on the IPBD robot system.Keywords: Wheeled inverted pendulum, Modelling, LQR
Kendali Logika Fuzzy pada Car Like Mobile Robot (CLMR) Penjejak Garis FAHMIZAL, FAHMIZAL; MURTI, BUDI BAYU; PRATAMA, DONNY BUDI; MAYUB, AFRIZAL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 6, No 3 (2018): ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v6i3.451

Abstract

ABSTRAKMakalah ini memaparkan perancangan sistem kendali logika fuzzy untuk mengatur kecepatan dan arah sudut steering pada car like mobile robot (CLMR) dengan menggunakan metode Ackermann steering. CLMR penjejak garis dirancang menggunakan 16 buah photodiode, dan terdapat 7 buah membership fuzzfikasi dari pembacaan error dan last error sehingga terbentuk 49 aturan. Untuk menguji perfoma kendali fuzzy pada sistem CLMR dalam mengikuti lintasan garis maka dilakukan pengujian dengan bentuk lintasan berupa garis lurus dan berbelok serta zig-zag dalam satu lintasan putar. Proses variasi nilai keanggotaan fuzzifikasi masukan dan defuzzifikasi keluaran dilakukan sebanyak lima kali. Dari hasil pengujian diperoleh bahwa kendali logika fuzzy yang diaplikasikan pada sistem mampu membuat pergerakan CLMR sukses mengikuti lintasan uji selama 9,38 detik lebih baik 0,53 detik dari kendali PID. Selanjutnya, hasil rancangan sistem CLMR ini merupakan sebuah prototipe self-driving car.Kata kunci: car like mobile robot, robot penjejak garis, fuzzy, self-driving car ABSTRACTThis paper describes the design of a fuzzy logic control system to adjust the speed and direction of the angle of the steering on the car like mobile robot (CLMR) using the Ackermann steering method. CLMR line tracking is  designed using 16 photodiode pieces, and there are 7 fuzzfication membership from reading error and last error so that 49 rules are formed. To test the fuzzy control performance on the CLMR system in following the line trajectory, it was tested with the form of a straight line and a turn and a zigzag in a rotary track. The process of varying input membership fuzzification values and output defuzzification is done five times. From the test results, it was found that the fuzzy logic control applied to the system was able to make CLMR movement successfully followed the test path for 9.38 seconds better than 0.53 seconds of PID control. Furthermore, the results of the CLMR system design are a prototype self-driving car.Keywords: car like mobile robot, line tracking robot, fuzzy, self-driving car
Assembling, simulating, and recording robot videos as an effort to motivate middle school students and teachers of Science in Bengkulu Province Mayub, Afrizal; Fahmizal, Fahmizal; Firdaus, M. Lutfi; Johan, Henny; Ruyani, Aceng; Karyadi, Bhakti
IAES International Journal of Robotics and Automation (IJRA) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v12i2.pp146-156

Abstract

The aim of this study was to determine the motivation of science teachers and students towards science after participating in the activity of assembling, simulating, and recording line follower robots as an effort to motivate middle school students and teachers towards science in Bengkulu Province. The research was done by direct practicing, where 60 students and 15 teachers of three junior high school (SMP): SMP Negeri 06 Seluma, SMP Negeri 02 Kota Bengkulu, and SMP Negeri 8 Rejang Lebong, were involved as the research subjects. The research activity concluded that the schools are ready to prepare simple electronics/robot laboratories for the three research subjects and the science teachers and students were motivated to learn science. It was seen from the score of 3.95 (scale of 1 to 5) for students, and for the science teacher, the score was 3.83 (scale of 1 to 5). The science teachers will follow up on robotics activities so that students will be interested in learning science at home and school.
Bipedal robot center of pressure feedback simulation for center of mass learning Mayub, Afrizal; Fahmizal, Fahmizal; Lazfihma, Lazfihma
IAES International Journal of Robotics and Automation (IJRA) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v13i2.pp220-232

Abstract

This research aims to create a walking bipedal robot with center of pressure feedback simulation for the center of mass learning, describe its feasibility for learning, describe students' motivation to learn, and describe students' science literacy after using it. The research method used ADDIE (analysis, design, development, implementation, and evaluation). The research data was obtained using a motivation scale questionnaire, science literacy scale, and feasibility scale. The research sample was 48 people; after the research obtained, the simulation of bipedal robot pressure center feedback for center of mass learning can be implemented with the principle of the robot's center of mass detected on the sole of the robot's foot equipped with a force sensitive resistor (FSR) sensor, the position of the center of mass is visible on the monitor screen as a center of mass learning, so that it can motivate students to learn and improve students' science literacy. This can be seen from the feasibility scale score, motivation scale, and science literacy scale of 4.133, 4.072, and 4.067 (scale 1 to 5), respectively, in the "good" category.
Solar cell based power-bank prototype as a media to increase students' scientific literacy Mayub, Afrizal; Delima, Ega Marita; Nursa’adah, Euis; Fahmizal, Fahmizal; Lazfihma, Lazfihma
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i4.pp989-1004

Abstract

This research aims to i) implement the solar cell based power-bank prototype for learning media; ii) describe the feasibility of the solar cell-based power-bank prototype for learning; and iii) describe students' scientific literacy. This research method uses the analysis, design, development, implementation, and evaluation (ADDIE) research and development model. The subjects of this research are class IX students and science teachers at SMPN 4 Central Bengkulu. Data collection techniques include questionnaires, tests, and interviews. The data analysis technique uses N-gain analysis, percentages, and the Aiken's V formula. The research results show that the media developed is valid with an Aiken index value of 0.98 > the minimum standard Aiken' V of 0.92 and can increase students' scientific literacy based on an N-gain of 0.92. 0.71, this can be seen in the dimensions of context and content based on N-gain of 0.73 and 0.69, while the dimensions of attitude, curiosity, respect, and willingness, reflect the respective percentages of 79.62%, 78.86%, 78.89%, 75.60%. Based on the results of the hypothesis test, the sig value is obtained. (2 tailed) 0.000 < 0.05 which means Ha is accepted and Ho is rejected, which means the solar cell-based renewable energy media used in science learning influences the increase in students' scientific literacy.
Robot Inverted Pendulum Beroda Dua (IPBD) dengan Kendali Linear Quadratic Regulator (LQR) FAHMIZAL, FAHMIZAL; ARROFIQ, MUHAMMAD; ADRIAN, RONALD; MAYUB, AFRIZAL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 2: Published May 2019
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i2.224

Abstract

ABSTRAKMakalah ini memaparkan proses pemodelan robot inverted pendulum beroda dua (IPBD) menggunakan dinamika Lagrange. Setelah sistem model robot IPBD diperoleh, teknik kendali optimal dalam hal ini menggunakan linear quadratic regulator (LQR) digunakan untuk melihat step respon sistem dan tanggapan respon sistem terhadap gangguan. Sebelum kendali LQR diimplementasikan, simulasi menggunakan Simulink Matlab dilakukan untuk mendapat parameter gain K pada kendali LQR. Selanjutnya, dengan mengubah-ubah matriks pembobot Q akan diperoleh variasi gain K. Pada penelitian ini dilakukan variasi matriks pembobotan Q sebanyak lima jenis. Sedangkan matriks elemen R dituning dengan nilai satu. Dari hasil pengujian diperoleh bahwa dengan membesarkan pembobotan matriks Q, dihasilkan respon menuju keadaan steady lebih cepat dan overshoot berkurang. Parameter gain K dari hasil simulasi selanjutnya akan diimplementasikan secara embedded programming ke dalam Arduino Uno pada sistem robot IPBD.Kata kunci: Inverted pendulum beroda, Pemodelan, LQR ABSTRACTThis paper describes the process of modeling two-wheeled pendulum inverted robots (IPBD) using the Lagrange dynamics. After the IPBD robot model system was obtained, the optimal control technique in this case using a linear quadratic regulator (LQR) was used to see the system response step and the response of the system response to interference. Before the LQR control is implemented, simulation using Matlab Simulink is conducted to get the gain K parameter on the LQR control. Furthermore, by varying the weighting matrix Q, the gain variation K will be obtained. There are five types of Q weighting matrix in this research and the R element matric is tuned with a value of 1. From the test, obtained results show that by raising the weighting matrix Q is produced a faster response to the steady state and overshoot is reduced. At the final stage, the gain K parameter from the simulation results will be implemented by embedded programming into Arduino Uno on the IPBD robot system.Keywords: Wheeled inverted pendulum, Modelling, LQR
Sistem Kendali Eddy Current Brakes Dinamometer menggunakan Linear Quadratic Regulator (LQR) ARROFIQ, MUHAMMAD; NUGROHO, LUKMAN SIDIQ; FAHMIZAL, FAHMIZAL; APRIASKAR, ESA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.923

Abstract

ABSTRAKMakalah ini memberikan analisis perbandingan antara teknik kendali klasik yaitu kendali PID dengan teknik kendali modern pada sistem Eddy current brakes dinamometer. Eddy current brakes merupakan sistem pengereman modern yang membutuhkan sebuah sistem kendali untuk menunjang kinerja pengereman. Selama ini kendali PID lebih sering digunakan, namun di beberapa kondisi dinilai kurang optimal. Dengan demikian, diperlukan pengembangan kendali yang modern dan optimal yaitu full state feedback Linear Quadratic Regulator (LQR). Perbandingan respon waktu pengereman disimulasikan menggunakan Matlab/Simulink. Hasil simulasi menunjukkan respon waktu pengereman pada kendali LQR lebih baik dibandingkan dengan kendali PID, dengan Ts = 2.12 detik, Tr = 1.18 detik, dan tanpa overshoot. Adapun kendali PID, meskipun menghasilkan Ts = 0.27 detik dan Tr = 0.18 detik, namun demikian masih terdapat overshoot sebesar 0.7%.Kata kunci: Eddy brakes, PID, LQR, Matlab ABSTRACTThis paper provides a comparative analysis between PID control as a classical control technique and modern control technique in the dinamometer Eddy current brakes system. Eddy current brakes is a modern braking system that requires a control system to support the braking performance. PID control is often used to be implemented but in some conditions it is less optimal. Therefore, it is necessary to develop a modern and optimal control, such as a full state feedback Linear Quadratic Regulator (LQR). The comparison of the braking time responses were simulated using Matlab/Simulink. The simulation results show that the response of LQR control is better than the PID, with Ts = 2.12 seconds, Tr = 1.18 seconds, and without overshoot. On the other side, PID control, although having Ts = 0.27 seconds and Tr = 0.18 seconds, there is still an overshoot about 0.7%.Keywords: Eddy brakes, PID, LQR, Matlab
Kendali Logika Fuzzy pada Car Like Mobile Robot (CLMR) Penjejak Garis FAHMIZAL, FAHMIZAL; MURTI, BUDI BAYU; PRATAMA, DONNY BUDI; MAYUB, AFRIZAL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 6, No 3: Published September 2018
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v6i3.451

Abstract

ABSTRAKMakalah ini memaparkan perancangan sistem kendali logika fuzzy untuk mengatur kecepatan dan arah sudut steering pada car like mobile robot (CLMR) dengan menggunakan metode Ackermann steering. CLMR penjejak garis dirancang menggunakan 16 buah photodiode, dan terdapat 7 buah membership fuzzfikasi dari pembacaan error dan last error sehingga terbentuk 49 aturan. Untuk menguji perfoma kendali fuzzy pada sistem CLMR dalam mengikuti lintasan garis maka dilakukan pengujian dengan bentuk lintasan berupa garis lurus dan berbelok serta zig-zag dalam satu lintasan putar. Proses variasi nilai keanggotaan fuzzifikasi masukan dan defuzzifikasi keluaran dilakukan sebanyak lima kali. Dari hasil pengujian diperoleh bahwa kendali logika fuzzy yang diaplikasikan pada sistem mampu membuat pergerakan CLMR sukses mengikuti lintasan uji selama 9,38 detik lebih baik 0,53 detik dari kendali PID. Selanjutnya, hasil rancangan sistem CLMR ini merupakan sebuah prototipe self-driving car.Kata kunci: car like mobile robot, robot penjejak garis, fuzzy, self-driving car ABSTRACTThis paper describes the design of a fuzzy logic control system to adjust the speed and direction of the angle of the steering on the car like mobile robot (CLMR) using the Ackermann steering method. CLMR line tracking is  designed using 16 photodiode pieces, and there are 7 fuzzfication membership from reading error and last error so that 49 rules are formed. To test the fuzzy control performance on the CLMR system in following the line trajectory, it was tested with the form of a straight line and a turn and a zigzag in a rotary track. The process of varying input membership fuzzification values and output defuzzification is done five times. From the test results, it was found that the fuzzy logic control applied to the system was able to make CLMR movement successfully followed the test path for 9.38 seconds better than 0.53 seconds of PID control. Furthermore, the results of the CLMR system design are a prototype self-driving car.Keywords: car like mobile robot, line tracking robot, fuzzy, self-driving car
Kendali Kecepatan Motor DC dengan Buck Converter menggunakan Full State Feedback-Pole Placement SULISTYAWATI, NUR; FAHMIZAL, FAHMIZAL; NATHASYA, IOTA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 2: Published April 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i2.415

Abstract

ABSTRAKMakalah ini menyajikan penjelasan tentang penerepan full state feedback menggunakan metode pole placement pada sistem buck converter dengan Motor DC. Penambahan komponen buck converter diharapkan dapat membantu menaikkan nilai efisiensi sistem dan memperpanjang umur komponen switch yang digunakan. Namun terkadang sistem ini masih memerlukan kendali untuk dapat memaksimalkan perfoma sistem baik dari segi rising time, settling time maupun error steady state dari sistem. Simulasi kendali full state feedback menggunakan pole placement disimulasikan dengan pemodelan buck converter dan motor DC menggunakan Simscape dan Simulink pada Matlab. Dari hasil simulasi diperoleh bahwa kendali pole placement mampu menghasilkan kondisi rising time 1.4508s, settling time 2.5729s sedangkan kendali LQR lebih lambat 0.9524s untuk rising time dan 4.3603s untuk settling time saat diuji dengan sinyal step. Selain itu, penambahan pre compensator (Nbar) telah membuat sistem mampu mencapai nilai referensi yang diharapkan (error steady state menuju nol).Kata kunci: Motor DC, Buck Converter, Pole Placement. ABSTRACTThis paper presents an explanation of the advanced full state feedback using the pole placement method in a buck converter system with a DC motor. The addition of buck converter components is expected to help increase the value of system efficiency and extend the life of the switch components used. However, sometimes this system still requires control to be able to maximize system performance in terms of both the rising time, the settling time and the steady state error of the system. Full state feedback control simulation using pole placement is simulated by modeling the buck converter and DC motor using Simscape and Simulink in Matlab. The simulation results show that the pole placement control is capable of producing a rising time of 1.4508s, settling time of 2.5729s, while LQR control is 0.9524s slower for rising time and 4.3603s for settling time when tested with step signals. In addition, the addition of a pre compensator (Nbar) has made the system able to reach the expected reference value (steady state error goes to zero).Keywords: DC Motor, Buck Converter, Pole Placement.
Co-Authors ACENG RUYANI Ahmad Baballe , Muhammad Anugrah, Pinto BHAKTI KARYADI Budi Bayu Murti Budiyanto, Ma’un Danarastri, Innes Delima, Ega Marita Dewantama, Georgius Yoga Dewi , Deshinta Arrova Esa Apriaskar Fathuddin, Fahmi Galih Setyawan Henny Johan Hidayat Nur Isnianto Joko Slamet Saputro Lazfihma, Lazfihma M. Lutfi Firdaus, M. Lutfi Maghfiroh, Hari Maun Budiyanto, Maun Mayub, Afrizal Molla, Atinkut Muhammad Arrofiq NATHASYA, IOTA NUGROHO, LUKMAN SIDIQ Nursa’adah, Euis Orlando, Tommy Richard Pratama, Donny Budi PRATAMA, DONNY BUDI Pratikno, Matthew Sebastian Priyatmoko, Angga Priyatmoko, Angga Probo Santoso, Henry Rahman, M Riza Fauzi Rahman, M Riza Fauzi Rijalussalam, Dhiya Uddin Ronald Adrian, Ronald Sulistyawati, Nur SYAHRONI, IVAN Winarsih Winarsih