Article Per Year (5 Year)
p-Index From 2020 - 2025
1.116
P-Index
This Author published in this journals
All Journal REKAYASA Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Jurnal Abdi: Media Pengabdian Kepada Masyarakat
Ii Munadhif, Ii
Institut Teknologi Sepuluh Nopember, Surabaya
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Physics Social Sciences Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search

 1 
Pengendalian Otomatis Cooling Water System pada Proses Pendinginan Turbin Gas Munadhif, Ii; Rinanto, Noorman; Afiqi, Muhammad
Rekayasa Vol 12, No 1: April 2019
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.313 KB) | DOI: 10.21107/rekayasa.v12i1.4389

Abstract

Di dalam pembangkit listrik tenaga gas, terdapat proses pendinginan turbin gas yang disebut Cooling water system (CWS). Sistem ini berfungsi mendinginkan minyak pelumas pendingin turbin yang saat suhu tinggi dapat menyebabkan shut down pada pembangkit listrik. Proses pendinginannya yang manual menyebabkan sistem tersebut kurang optimal. Oleh karena itu, penelitian ini mengusulkan sebuah inovasi purwarupa CWS otomatis. Perangkat kendalinya terdiri dari dua sensor thermocouple, sebuah papan kendali arduino, pompa air, 18 buah kipas sebagai pendingin dan heater sebagai perangkat gangguan saat pengujian. Sistem ini dilengkapi perangkat antarmuka untuk memudahkan dalam mengendalikan dan memonitoring sistemnya. Terdapat dua mode pengendalian sistem, yaitu mode manual dan mode otomatis. Kipas dapat dinyalakan sesuai kebutuhan pada mode manual, sedangkan mode otomatis sistem pendingin menyalakan sejumlah kipas berdasarkan tingkat kenaikan suhu. Suhu 35oC dipilih sebagai setpoint pada sistem ini. Pengujian sistem menunjukkan bahwa semakin tinggi suhu inlet pada CWS, maka semakin lama waktu yang diperlukan untuk menstabilkan sistem.
Sistem Pengendalian Penanganan Kebakaran Gedung Menggunakan Metode Fuzzy Munadhif, Ii; Adianto, Adianto; Mustofa, Ari Afrizal
Rekayasa Vol 11, No 2: Oktober 2018
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (451.25 KB) | DOI: 10.21107/rekayasa.v11i2.4423

Abstract

Kebakaran gedung adalah peristiwa penyebab kerusakan yang dapat terjadi kapanpun dan tidak dapat diprediksi. Kebakaran mengakibatkan kerugian materi dan korban jiwa. Faktor penyebab kebakaran antara lain korsleting listrik, kebocoran gas dan kelalaian manusia. Selain itu, penanganan lanjutan yaitu dengan bantuan mobil pemadam kebakaran. Namun, masyarakat sering sekali terlambat dalam menghubungi dan memberikan informasi tentang kondisi dan lokasi kepada petugas sehingga menyebabkan api semakin membesar. Oleh karena itu diperlukan suatu alat untuk pengendalian penanganan kebakaran gedung menggunakan sensor suhu, asap dan api dengan aktuator control valve dan buzzer menggunakan fuzzy. Input fuzzy berupa data suhu, asap, api dan outputnya adalah control valve dan buzzer sebagai alarm. Berdasarkan hasil pengujian, sensor suhu memiliki error 0,28% , sensor asap memiliki nilai ADC semakin bertambah apabila terdeteksi asap, sensor api memiliki nilai ADC semakin berkurang apabila terdeteksi api. Control valve aktif secara proporsional sebagai pemadam api berdasarkan suhu, nilai kepekatan asap dan nilai api. Tingkat keberhasilan sistem pengendalian ini adalah 91,7%. Kata Kunci: kebakaran gedung, api, sensor,sistem pengendalian, fuzzy, aktuator. Control System for Handling Building Fire Using Fuzzy Method ABSTRACTBuilding fire is an event that causes damage that can occur at any time and is unpredictable. Fires cause material loss and loss of life. Factors that cause fire include electrical shortages, gas leakage and human negligence. In addition, further handling is with the help of fire trucks. However, the community is often too late in contacting and providing information about the conditions and location to officers, causing the fire to expand. Therefore, it is needed a tool to control building fire handling using temperature, smoke and fire sensors with control valve and buzzer actuators using fuzzy. Fuzzy input is data of temperature, smoke, fire and output data is the control valve and buzzer as an alarm. Based on the results of the test, the temperature sensor has a 0.28% error, the smoke sensor has an ADC value increasing when smoke is detected, the fire sensor has an ADC value decreasing when the fire is detected. The valve control is proportionally active as a fire extinguisher based on temperature, smoke density value and fire value. The success rate of this control system is 91.7% Keywords: buliding fire, fire, sensor,control system,  fuzzy, actuator.
Pengenalan PLC untuk Meningkatkan Kemampuan Logika Asesmen Kompetensi Minimal (AKM) Siswa SMAN 1 Jogorogo Rachman, Isa; Rahmat, Muhammad Basuki; Adianto, Adianto; Munadhif, Ii; Adistira, Ryan Yudha
Jurnal ABDI: Media Pengabdian Kepada Masyarakat Vol 7, No 1 (2021)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/ja.v7n1.p147-151

Abstract

Asesmen Kompetensi Minimal (AKM) merupakan salah satu asesmen nasional yang akan digunakan pada tahun 2021 oleh Kementerian Pendidikan dan Kebudayaan untuk menggantikan ujian nasional tingkat SMA. AKM fokus mengukur kemampuan literasi dan numerikal melalui kemampuan logika dan pemahaman baca siswa. Berdasarkan laporan hasil tes PISA pada tahun 2019, kedua aspek kompetensi ini menjadi masalah mendasar siswa di Indonesia. Untuk memicu peningkatan kemampuan logika siswa SMAN 1 Jogorogo, maka diberikan pengetahuan tambahan yang tidak tercantum dalam kurikulum. Salah satunya melalui kegiatan pengenalan PLC yang merupakan perangkat pemrograman berbasis logika. Kegiatan ini juga mampu meningkatkan kompetensi siswa dalam literasi digital, teknologi dan manusia pada era revolusi industri 4.0 karena PLC banyak digunakan dibidang otomasi industri. Kegiatan dilaksanakan secara daring melalui media interaktif karena pada kondisi pandemi COVID-19. Dari pelaksanaan kegiatan ini, didapatkan hasil quiz peserta pada setiap pokok materi menunjukkan hasil yang cukup memuaskan dengan nilai rata-rata 74 dan hasil test peserta pada akhir kegiatan juga menunjukkan hasil yang cukup memuaskan dengan nilai rata-rata 76. Selain itu, dari hasil kuisioner peserta sebagai bentuk umpan balik pelaksanaan kegiatan menunjukkan hasil yang baik. Dengan adanya kegiatan ini, PLC dapat dijadikan sebagai salah satu kegiatan ekstrakurikuler untuk meningkatkan kompetensi siswa SMAN 1 Jogorogo.
Perbandingan Neural Network Backpropagation dan Extreme Learning Machine pada Robot Manipulator Munadhif, Ii; Pradhipta, Indan
Rekayasa Vol 14, No 3: Desember 2021
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v14i3.10230

Abstract

Robotics technology and artificial intelligence devices are growing rapidly in the medical field. The work of medical workers will be made easier by the presence of this technology. It is also applied directly to patients. Patients suffering from variousdiseases, of course, need an appropriate solution. A robotic finger manipulator can be applied to a patient with disabilities to assist him in placing or retrieving items. In the manipulator robot, there are sensors, controllers, and actuators. The stimulation of the muscles in the forearm is detected by an electromyograph sensor. The resulting muscle stimulation is classified by the controller into servo motor movement. The motor represents the fingers. The classification method uses a neural network backpropagation and an extreme learning machine which is compared to the performance. Classification using neural network backpropagation has a success rate of 65.3%. While the classification using the extreme learning machine has a success rate of 78.7%.
IMPLEMENTASI KONTROL PID ZIEGLER – NICHOLS UNTUK PENGENDALIAN PENYELAMAN PADA ROBOT BAWAH AIR OTONOM HYDROSHIPS Sobirin, Ihwanul; Endrasmono, Joko; Riananda, Dimas Pristovani; Asri, Purwidi; Jami'in, Mohammad Abu; Munadhif, Ii
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5344

Abstract

Robot bawah air beroperasi dan dikendalikan dalam air untuk berbagai tugas seperti penelitian, operasi SAR, dan perlindungan infrastruktur. Terdapat dua jenis utama: Remotely Operated Vehicle (ROV), yang dikendalikan manual, dan Autonomous Underwater Vehicle (AUV), yang beroperasi secara otomatis. Tim HYDROships dari Politeknik Perkapalan Negeri Surabaya mengembangkan AUV untuk mendeteksi korban kecelakaan dan objek bawah air. Stabilitas AUV di bawah permukaan laut sangat penting untuk mencegah kecelakaan. Kontrol PID Ziegler - Nichols digunakan untuk menjaga kestabilan penyelaman AUV. Pada pengujian, kendali penyelaman prototipe AUV dengan parameter PID Kp = 9,269; Ki = 5,65; Kd = 8,55 mampu untuk mendapatkan respon yang baik dengan nilai respon terbaik, rise time sebesar 1,35 detik, settling time sebesar 3,2 detik dan overshoot sebesar 7,4%. Hasil penelitian menunjukkan parameter PID Ziegler-Nichols memberikan rise time cepat, tetapi overshoot besar, sedangkan fine-tuning PID memberikan respon lebih baik secara keseluruhan.
Pemodelan Matriks Kinematika Pada Robot Three-Wheel Swerve Drive: Kinematics Matrix Modeling of a Three-Wheel Swerve Drive Robot Ilhan Shanjaya, Mohammad Irfan; Endrasmono, Joko; Ahmad Putra, Zindhu Maulana; Sutrisno, Imam; Subiyanto, Lilik; Munadhif, Ii
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 3 (2024): Jurnal Elkolind Vol. 11 No. 3 (September 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i3.5500

Abstract

Research in robotics, particularly mobile robots or wheeled mobile robots, continues to grow as their use in various sectors increases to simplify tasks and reduce the risk of human injury. Steering mechanisms, such as Swerve Drive, are becoming an important focus in the development of mobile robots. Swerve Drive enables omnidirectional motion that requires optimal control and complex development. Controlling the Swerve Drive requires large motors and sophisticated algorithms to set the speed and steering angle on each wheel independently, with the aim of achieving the targeted position and orientation. Simulation testing shows that the robot can move well using the prepared kinematics control, with translational, diagonal movement and rotational capabilities as required. Thus, kinematics modeling and development of efficient control algorithms are essential to improve the maneuverability and performance of the swerve drive robot.
Rancang Bangun Trainer Kit Simulator Identifikasi Karakteristik Solar Cell Sebagai Media Pembelajaran Munadhif, Ii; Maulana, Kharisma Nizar; Jamiin, Mohammad Abu
Rekayasa Vol 17, No 2: Agustus, 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v17i2.22323

Abstract

Solar panels consist of photovoltaic cells which are identical to diode semiconductor devices. Photovoltaics have a special point which is usually called MPP (Maximum Power Point). At that point, the photovoltaic is in an optimal state, both the voltage and current produced. The location of the MPP is unknown but can be found using calculations or a tracking algorithm called Maximum Power Point Tracking (MPPT). In general, MPPT uses the observe and observe algorithm which has shortcomings in determining the maximum power point because it is often trapped at the local maximum point. In this research, the MPPT algorithm used is based on a neural network with a buck-boost type converter. This method is done without requiring detailed information about photovoltaics. This MPPT will be used as a trainer kit for a simulator for identifying solar cell characteristics in the PPNS power electronics laboratory. The MPPT that has been created has an efficiency of between 80-92% and can increase the average power by 8-11.36% for monocrystalline solar panels and 1-13.05% for polycrystalline solar panels depending on the load used.
Kontrol Proportional Integral Derivative (PID) Sebagai Penstabil Tegangan pada Pembangkit Listrik Tenaga Hybrid Al Aziz, Muhammad Arif; Prasetyo Hidayat, Edy; Munadhif, Ii
Rekayasa Vol 15, No 3: Desember 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v15i3.16384

Abstract

Around 66% of power plants in Indonesia are still sourced from coal and oil. On the other hand, Indonesia is rich in renewable energy potential but still has minimal utilization. Furthermore, the voltage at power plants that are small and less stable is also often a nuisance. Thus, an innovative hybrid, solar and hydroelectric power plant with a PID (Proportional Integral Derivative) based voltage stabilizer was created. PID-based voltage stabilizer control is generated in the form of PWM (Pulse Width Modulation). The results obtained in this study are PID control can produce the lowest voltage of 12.78 V and the highest voltage of 13.96 V with a setpoint of 13.4 V. The power generated from solar, hydro, and hybrid power plants is 11.8 Watts, 9.4 Watts, and 14.85 Watts. As for Charging the Battery, an increase of 2.72 V was obtained in 24 hours. As for the storage side, the Battery can supply a 15 watt incandescent lamp for 8 hours 55 minutes while leaving 20% of the total capacity.
Co-Authors Adistira, Ryan Yudha Afiqi, Muhammad Al Aziz, Muhammad Arif Asri, Purwidi C. I. Sutrisno Endrasmono, Joko Ilhan Shanjaya, Mohammad Irfan Jami'in, Mohammad Abu Jamiin, Mohammad Abu Jayawarsa, A.A. Ketut Lilik Subiyanto Maulana, Kharisma Nizar Mustofa, Ari Afrizal Pradhipta, Indan Prasetyo Hidayat, Edy Rahmat, Muhammad Basuki Riananda, Dimas Pristovani Rinanto, Noorman Sobirin, Ihwanul Zindhu Maulana Ahmad Putra