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Penerapan Kontroler Neural Fuzzy Untuk Pengendalian Kecepatan Motor Induksi 3 Fasa Pada Mesin Sentrifugal Putri, Ratna Ika; Fauziyah, Mila; Setiawan, Agus
INKOM Journal Vol 3, No 1-2 (2009)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.662 KB) | DOI: 10.14203/j.inkom.41

Abstract

Motor induksi 3 fasa adalah alat penggerak yang paling banyak digunakan dalam dunia industri. Salah satu aplikasi motor induksi pada industri gula adalah pada mesin sentrifugal yang digunakan pada proses sentrifugasi. Mesin sentrifugal menggunakan motor induksi sebagai penggerak untuk memutar chamber mesin sentrifugal yang berisi massacuite yang akan diolah. Tujuan penelitian ini adalah merancang kontroler neural fuzzy yang digunakan untuk mengendalikan kecepatan motor induksi sehingga dapat mempertahankan kecepatan sesuai setpoint walaupun terjadi perubahan beban. Motor induksi dimodelkan dengan menggunakan transformasi dq dan algoritma kontroler disimulasikan dengan MATLAB. Kontroler neural fuzzy menggunakan 2 layer dengan jumlah neuron yang diubah yaitu 20 dan 50 neuron. Dari hasil simulasi didapatkan, kontroler neural fuzzy 50 neuron memiliki settling time lebih cepat tetapi error steady state lebih besar dan tidak menghasilkan overshoot pada respon kecepatan. Sedangkan pada kondisi terbebani, kontroler dapat mempertahankan kecepatan sesuai dengan setpoint. Waktu pemulihan kontroler 50 neuron lebih cepat dibandingkan kontroler neural fuzzy dengan 20 neuron.
IMPLEMENTASI KONTROLER NEURAL FUZZY PADA PENGATURAN KECEPATAN MOTOR INDUKSI 3 FASA Ratna Ika Putri; Mila Fauziyah
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2010
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Motor induksi 3 fasa adalah alat penggerak yang paling banyak digunakan dalam dunia industri. Salah satuaplikasi motor induksi pada industri gula adalah pada mesin sentrifugal yang digunakan pada prosessentrifugasi. Mesin sentrifugal menggunakan motor induksi sebagai penggerak untuk memutar chamber mesinsentrifugal yang berisi massacuite yang akan diolah. Tujuan penelitian ini adalah merancang kontroler neuralfuzzy yang digunakan untuk mengendalikan kecepatan motor induksi sehingga dapat mempertahankankecepatan sesuai setpoint walaupun terjadi perubahan beban. Motor induksi dimodelkan dengan menggunakantransformasi dq dan algoritma kontroler disimulasikan dengan MATLAB. Kontroler neural fuzzy menggunakan2 layer dengan jumlah neuron yang diubah yaitu 20 dan 50 neuron. Dari hasil simulasi didapatkan, kontrolerneural fuzzy 50 neuron memiliki settling time lebih cepat dibanding tetapi error steady state lebih besar dantidak menghasilkan overshoot pada respon kecepatan. Sedangkan pada kondisi terbebani, kontroler dapatmempertahankan kecepatan sesuai dengan setpoint. Waktu pemulihan kontroler 50 neuron lebih cepatdibandingkan kontroler neural fuzzy dengan 20 neuron..Kata Kunci: Motor Induksi, Kontroler, Neural Fuzzy
PI Controller Untuk Mengatur Kecepatan Motor Induksi 1 Fasa Siti Nur Alima; Mila Fauziyah; Denda Dewatama
Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 2, No 2 (2020): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v2i2.647

Abstract

Induction motors are widely used in the industrial world, home-based businesses as well as in households. Currently in the process of making tofu an induction motor is used as a motor to drive soy blending blades. At this time the use of induction motors is still manually by requiring the operator to regulate the speed of the motor. To reduce operator work, it is necessary to apply PI control as a motor speed controller so that a constant motor rotation is obtained. 1 phase induction motor can be adjusted with variable speed drive (VSD) 0.75KW 1 phase. Blending blade drive uses 0.5HP 1 phase induction motor. In the application of PI control requires some hardware namely Arduino Uno as a minimum system that gives PWM circuit input commands. And the speed sensor as a motor blending speed reader. PI tuning values obtained from the application of the Ziegerl-Nichols I method with the best Kp and Ki tuning values are 1.35 and 0.02673. This research was conducted with 3 speed variables namely 1400 rpm, 1300 and 1200 rpm. From the application of Kp and Ki tuning values, the smallest error value is 4.08% at 1400 rpm with the system response time peak (tp) 5s, rise time (tr) 3s faster, delay time (td) 3s, and settling time (ts) 9s , and a maximum overshoot of 9.8%.
Penerapan Kontroler Neural Fuzzy Untuk Pengendalian Kecepatan Motor Induksi 3 Fasa Pada Mesin Sentrifugal Ratna Ika Putri; Mila Fauziyah; Agus Setiawan
INKOM Journal Vol 3, No 1-2 (2009)
Publisher : Pusat Penelitian Informatika - LIPI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.inkom.41

Abstract

Motor induksi 3 fasa adalah alat penggerak yang paling banyak digunakan dalam dunia industri. Salah satu aplikasi motor induksi pada industri gula adalah pada mesin sentrifugal yang digunakan pada proses sentrifugasi. Mesin sentrifugal menggunakan motor induksi sebagai penggerak untuk memutar chamber mesin sentrifugal yang berisi massacuite yang akan diolah. Tujuan penelitian ini adalah merancang kontroler neural fuzzy yang digunakan untuk mengendalikan kecepatan motor induksi sehingga dapat mempertahankan kecepatan sesuai setpoint walaupun terjadi perubahan beban. Motor induksi dimodelkan dengan menggunakan transformasi dq dan algoritma kontroler disimulasikan dengan MATLAB. Kontroler neural fuzzy menggunakan 2 layer dengan jumlah neuron yang diubah yaitu 20 dan 50 neuron. Dari hasil simulasi didapatkan, kontroler neural fuzzy 50 neuron memiliki settling time lebih cepat tetapi error steady state lebih besar dan tidak menghasilkan overshoot pada respon kecepatan. Sedangkan pada kondisi terbebani, kontroler dapat mempertahankan kecepatan sesuai dengan setpoint. Waktu pemulihan kontroler 50 neuron lebih cepat dibandingkan kontroler neural fuzzy dengan 20 neuron.
Teknologi Tepat Guna Pemanfaatan Listrik Daya Kecil untuk Pengelolaan Kandang pada Budidaya Ayam Pedaging di Desa Pucangsongo Kabupaten Malang Andriani Parastiwi; Mila Fauziyah; Dwi Puspitasari
Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) Vol 4, No 1 (2018): September
Publisher : Direktorat Pengabdian kepada Masyarakat Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (7482.368 KB) | DOI: 10.22146/jpkm.32973

Abstract

One of the problems faced by small-scale broiler cultivators in Pucangsongo-Malang was the use of PLN electricity that exceeds the installed capacity. Partners feel it was too expensive to raise the power capacity. To overcome the problem, timing settings to power the equipment is needed. The cage-smell’ problem needs to be handled because the cage-locations are in settlement. The purpose of this activity was helping partners to increase productivity by helping solve problems from production aspects, as well as the safety. The implementation method was providing appropriate science and technology to partners in the form of electricity utilization management equipped with a cage monitoring system. In addition, it also developed a backup power source safety system that works when the electricity goes off to keep the cage remain conducive. Prior this activity, the cage-capacity was 3300 with an average death of 200 chickens. Currently, the cage-capacity increased to 3500 chickens with deaths down to 110 chickens. With the developed and installed electric power management equipped with monitoring system of cage condition, broiler cultivators in Pucangsongo-Malang can monitor the cage’s state at any time and power shortage problem can be resolved.
PEMANFAATAN PANEL SURYA UNTUK SISTEM PENERANGAN KANDANG AYAM DI KEPANJEN, KABUPATEN MALANG Ratna Ika Putri; Mila Fauziyah; Muhammad Rifa’i; Supriatna Adhisuwignjo; Yulianto Yulianto
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 4 No 3 (2021): APTEKMAS Volume 4 Nomor 3 2021
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.746 KB)

Abstract

The partner in this community service program is the Dua Putra farm located in the village of Sengguruh, Kepanjen, Malang Regency. Apart from the cage for laying hens, this Dua Putra farm also has a hatchery cage with a capacity of 1000 chicks. Lighting in the chicken coop is important, especially at night because in addition to functioning as lighting, it also functions as a heater. Currently, the lighting in the chicken coop still uses the PLN electricity network, so that every month the owner has to pay electricity costs, which of course will increase production costs. The purpose of this activity is to provide understanding, knowledge and skills to farmers regarding the use of renewable energy, especially solar heat as a source of electrical energy used for lighting in partner chicken coops. The methods used in this program are appropriate technology innovation, training and coaching as well as monitoring and evaluation of activities. Technological innovation is carried out through the manufacture of a chicken coop lighting system using a microcontroller-based solar panel. The lighting of the chicken coop is supplied by solar heat which is converted into electrical energy by solar panels. The lighting will turn on automatically in the afternoon. Training and coaching are carried out through the socialization of the use of solar panels for lighting and the practice of using and maintaining solar systems using solar panels.
PENDAMPINGAN BUDIDAYA SAYUR ORGANIK DENGAN SISTEM HIDROPONIK DI DESA BUMIAJI KOTA BATU Hari Kurnia Safitri; Bambang Priyadi; Indrazno Siradjuddin; Mila Fauziyah
Jurnal Pengabdian Kepada Masyarakat (J-ABDIMAS) Vol 8 No 2 (2021): JURNAL PENGABDIAN KEPADA MASYARAKAT 2021
Publisher : Publisher UPT P2M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (344.333 KB) | DOI: 10.33795/jabdimas.v8i2.136

Abstract

Bumiaji village is located on the slopes of the mountains with an altitude of 150mdpl. The majority of bumiaji villagers work as farmers. PKM in activities aim to help farmers in terms of increasing income and diverse agricultural produce on partner land. Currently the partner has about 800 m2 of land that is used for citrus cultivation. Because the old citrus harvest process is about 4-5 months, the partner needs additional income in addition to citrus cultivation. The training conducted by the PKM team is: (1) the introduction of hydroponic system knowledge; (2) training to grow vegetables with hydroponic system. By knowing and knowing the hydroponic system farmers / partners can develop hydroponic systems for various organic vegetables in the rest of the land, so that the results obtained are diverse and increase the income of partners.
Pembacaan Jarak dan Kecepatan dengan ArUco Marker pada Sistem Koper Follow Me Beroda Agus Triwahyudin; Hari Kurnia Safitri; Mila Fauziyah
Jurnal Teknologi Elektro Vol 21 No 1 (2022): (Januari - Juni) Majalah Ilmiah Teknologi Elektro
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2022.v21i01.P14

Abstract

The Wheeled Follow Me Suitcase is an automatic robot that can follow human journeys to carry goods to meet their needs. This suitcase has 2 modes; manual and automatic modes. The manual mode of the suitcase will be used like a suitcase in general. While the automatic mode, the suitcase will always follow the owner who already has a special mark (markers). The main components of this system are raspberry pi camera, raspberry pi 4, push button, buzzer, motor driver and dc motor. By doing image processing on special marks (markers) so as to produce a variable distance. The results of processing the reading of the distance variable will be processed into a speed variable, so that the error data range will be obtained. The use of markers of the ArUcoMarker type, limits the distance for reading special marks to a maximum distance of 2 meters which is as stable as possible at a distance of 1 meter. To anticipate failure in reading, a buzzer is used as a sign that the follow me suitcase has been far from the user. In the test results using markers of the ArUco Markers type, a minimum distance of 74 mm is produced, a maximum of 2170 mm. With the smallest reading error rate at a distance of 400 mm and 1100 mm while the largest reading error at a distance of 2000 mm and for the average distance reading error of 0.55%.
Color Based Feature Extraction and Backpropagation Neural Network in Tamarind Turmeric Herb Recognition Mila Fauziyah; Supriatna Adhisuwignjo; Bagus Fajar Afandi Afandi; Lathifatun Nazhiroh
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 7, No. 2, May 2022
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v7i2.1432

Abstract

The aim of this paper is finding the optimum image pattern of the tamarind turmeric herb. So far, in the process of producing tamarind turmeric herb, it is not constant in terms of taste and color, which is influenced by maturity and the amount of turmeric. Image pattern recognition will use Backpropagation algorithm applied to typical Content-based image retrieval systems. The main purpose is to apprehend various parts of tamarind turmeric herb in the retrieving processing. The camera is applied to classify the tamarind turmeric herb product, process into 5x5 pixels, and take an average of the RGB value so the stable RGB values will be obtained in each category and used as input for Backpropagation algorithm. The most suitable and the fastest process from the Backpropagation algorithm will be searched and applied in a real-time machine. In this paper will be using two methods, first, train the algorithm using ten data by change neuron, layer, momentum, and learning rate, and the last is testing with ten data. The results obtained from the training and testing algorithm that the two hidden layers can recognize 100% inputs, with three input layers used for R, G, and B value, ten neurons in the first hidden layers and the second hidden layers, one output layer with a parameter used is Learning rate 0.5 and Momentum 0.6. The best image pattern standard for tamarind turmeric herb is dark yellow with RGB values of 255, 102, 32 up to 255, 128, 48.
DESAIN DAN IMPLEMENTASI SOLAR CHARGING CONTROLLER DENGAN TOPOLOGI CUK CONVERTER MENGGUNAKAN KONTROL LOGIKA FUZZY Gita Kartika Rizqofani; Denda Dewatama; Mila Fauziyah
TESLA: Jurnal Teknik Elektro Vol 24, No 1 (2022): TESLA: Jurnal Teknik Elektro
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/tesla.v24i1.16950

Abstract

Solar energy as an alternative way of anticipating the crisis of electrical energy. The output voltage of solar energy is unstable depends on the intensity of solar radiation and temperature. Solar energy obtained needs to be stored in batteries. On the other hand, battery charging system requires constant voltage, dc-dc converter is the right solution. Cuk converter is one of dc-dc converter topology that has the advantage of stable continuous current at input and output.. The purpose of this research to design and realize a battery charging system with fuzzy logic controller on the cuk converter. The fuzzy logic controller method to generate Pulse Width Modulation (PWM) so that the output voltage is 14 Volt. Fuzzy logic control uses the Mamdani method with 5 error membership functions and 5 delta error membership functions, as well as 5 output membership functions that is single tone. The results of the research that has been done for the response signal graph generated from fuzzy logic control parameters are for Response time (tr) = 0.74 seconds, Peak time (tp) = 1.243 seconds, % over shoot = 0%, Settling time (ts) = 1,243 seconds, Error (ess) = 0.17. the conclusion of this research is that the output of the singletone fuzzy control system response (-4, -2, 0, 2, 4) for the parameters applied shows a stable output value and can work well acording to the design.ABSTRAK:Energi surya sebagai cara alternatif dalam mengantisipasi krisis energi listrik. Tegangan keluaran dari energi surya tidak stabil tergantung dari intensitas dari radiasi matahari dan suhu. Energi surya yang diperoleh perlu disimpan pada baterai. Disisi lain, sistem pengisisan baterai membutuhkan tegangan konstan, dengan menggunakan dc-dc konverter adalah solusi yang tepat. Cuk converter merupakan salah satu topologi dc-dc konverter yang memiliki keunggulan arus kontinyu yang stabil pada input dan output-nya. Tujuan dari penelitian ini untuk merancang dan merealisasikan sistem pengisisan baterai dengan kontrol logika fuzzy pada cuk converter. Metode kontrol logika fuzzy berfungsi untuk membangkitkan Pulse Width Modulation (PWM) sehingga tegangan keluarannya yaitu 14 Volt. Kontrol logika fuzzy dengan metode Mamdani dengan 5 fungsi keanggotaan error dan 5 fungsi keanggotaan delta error, serta 5 fungsi keanggotaan keluaran berupa single tone. Dari hasil penelitian yang telah dilakukan untuk grafik sinyal respon yang dihasilkan dari parameter kontrol logika fuzzy untuk Response time (tr) = 0.74 detik, Peak time (tp) = 1.243 detik, % over shoot = 0%, Settling time (ts) = 1,243 detik, Error (ess) = 0.17. Kesimpulan dari penelitian ini untuk keluaran respon sistem kontrol fuzzy singletone (-4, -2, 0, 2, 4) pada parameter yang diterapkan menunjukkan nilai keluaran yang stabil dan dapat bekerja dengan baik sesuai dengan perancangan
Co-Authors Abrihan Bachtiar Samudra Adhisuwignjo, Supriatna Adhisuwignjo, Supriatna Adi Candra Kusuma, Adi Candra Adimi, Akbar Roisul Adly Mardika Agus Idris, Mochammad Agus Setiawan Agus Setiawan Agus Triwahyudin Al Azhar, Gillang Alif, Alif_Komaruddin Aliftinan, Dafi'ah Amtha Setio Prabasworo Andriani Parastiwi Anggita, Eriska Anggraheny Ikawanty, Beauty Anindya Dwi Risdhayanti6 Ari Murtono Astadewi, Avrilla Iona Bagus Fajar Afandi Afandi Bagus Rachmanto Bambang Irawan /E21207042 Bambang Priyadi Beauty Anggraheny Ikawanty Brahma Ratih Rahayu Fakhrunnia Budiharto, Bintang Maha Dewa Hidayah Delila Cahya Devira Anggi Maharani Dewatama, Denda Dian Ayu Widianti Dimas Kukuh Prasetyo Doddy Maulana Donny Radianto Dwi Puspitasari Dyah Intan Sari Eka Mandayatma Ekasari, Silvia Rahmi Erdin Aulianta Febrin Ferdina Putri Febriyana, Anita Dwi Gillang Al Azhar Gita Kartika Rizqofani Hadi Susanto Hairus, Hairus Hari Kurnia Safitri Herman Hariyadi Herwandi Herwandi Hijriah, Ayu Ikawanty, Beauty Anggraheny Indrawan Nugrahanto, Indrawan Indrazno Siradjuddin Jenar Rurintasari Jules Dwi Y A Khairuddin, Muhammad Komarudin Achmad Lathifatun Nazhiroh Luqman, Mohammad Marsa Atisobhita Mirza Sakina Lukitasari Mohammad Luqman Mohammad Randy Setiawan Muhamad Rifa'i Muhammad Rifai Muhammad Rifa’i Mukhammad Bayu Riswan Maulana Murtono, Ari Ningrum, Mery Octavia Oktriza Melfazen Paramitha, Tannia Patma, Tundung Subali PERMATASARI, DINDA AYU Putra, Dimas Rossiawan Hendra Putu Eragrostis Brizantha Radianto, Donny Rahman KN, Aditya Ramadhan Kurniawan Ratna Ika Putri Rida Oktorida Khastini rifa'i, Muhammad Rifqi, Aisyah Rino Wahyu Pradana Risdhayanti, Anindya Dwi Rizky Abdul Rakhman Sidik Nurcahyo Siroju Insan Siti Nur Alima Subiyantoro Subiyantoro Sudha Paramartha, Dhiksa Sungkono Sungkono Tarmukan Tarmukan Taufik Taufik Wahyu Tri Wahono Winarno, Totok Wirawan Yudiana, Teddy Trisnanda Yudiana Yulianto Yulianto