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All Journal JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Infotekmesin Jurnal Abdimas Dosma Journal of Computer Science Advancements
Kholis Nur Faizin
Politeknik Negeri Madiun
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Public Health Social Sciences Other

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Pengaturan Kecepatan Motor DC BrushlessMenggunakan Kontroller Fuzzy PI Kholis Nur Faizin; Mohammad Erik Echsony
JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) Vol. 6 No. 1 (2021): JOURNAL OF ELECTRICAL, ELECTRONICS, CONTROL, AND AUTOMOTIVE ENGINEERING (JEECAE
Publisher : Pengelolaan Penerbitan Publikasi Ilmiah (P3I) Politeknik Negeri Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32486/jeecae.v6i1.530

Abstract

Karakteristik motor induksi ialah kecepatan putar yang merupakan fungsi dari frekuensi sumber listrik dan slip motor. Secara umum, jumlah catu daya listrik selalu konstan dan slip motor berubah sebagai akibat dari perubahan daya dan torsi, sehingga laju motor induksi harus dikontrol. Permasalahan tersebut membuat respon tidak stabil. Kontroler Fuzzy PI mempunyai sifat yang efektif pada saat system bersifat non-linear yang kompleks. Kontroler ini dirancang untuk mengupdate parameter-parameter logika fuzzy secara online sehingga output dari system lebih kokoh dari gangguan. Metode ini adalah pilihan yang sangat tepat dalam pengaturan kecepatan motor induksi dengan berubahnya beban terhadap waktu. Teknik pemodelan dalam penelitian ini adalah dengan mempertimbangkan state pada plant. Ini menempatkan persamaan menjadi linier sehingga diperoleh persamaan SISO. Metode Fuzzy PI mampu menurunkan nilai percent overshoot, setting time lebih baik dan aksi kontrol yang lebih smooth di bandingkan dengan metode yang lainnya.
PENERAPAN TEKNOLOGI INJECTOR CLEANER UNTUK PENINGKATAN KUALITAS LAYANAN JASA SERVIS DI KIKI MOTOR MENUJU BENGKEL PROFESIONAL Nanang Romandoni; Muhammad Taali; Kholis Nur Faizin; Farid Majedi; Indah Puspitasari; Abdul Aziz
JURNAL ABDIMAS DOSMA (JAD) Vol. 1 No. 2 (2022): Juni
Publisher : IKATAN ALUMNI DOSEN MAGANG KEMENRISTEKDIKTI TAHUN ANGKATAN 2017

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1300.639 KB) | DOI: 10.70522/jad.v1i2.13

Abstract

The development of technology in the automotive sector, especially motorcycles is increasing. This is indicated by the use of Electronic Fuel Injection (EFI) technology for the inclusion of the fuel system. Therefore, motorcycle repair shops must continue to upgrade their mechanical skills and expertise to meet customer needs in vehicle servicing. Kiki Motor Workshop is a motorcycle repair shop that is engaged in the service and replacement of motorcycle spare parts on micro exhibits. Judging from the service activities in the workshop, the average category of motorcycle being serviced is conventional technology (carburetor). Efforts are needed to improve the quality of human resources so that the workshop is able to receive motorcycle service services with EFI technology. The application of injector cleaner technology is a community service program that aims to improve the quality of services at the Kiki Motor workshop. In addition to improving the quality of the workshop, this program is expected to increase the income of the workshop.
Pelatihan Pembuatan Mesin Spinner Kripik Ubi Madu Berpenggerak Motor Listrik Pada Karang Taruna Orpega 02 (Organisasi Pemuda Erlangga) Desa Wisata Tawangmangu Jawa Tengah yoga fakhrudi; Kholis Nur Faizin; Agus Choirul Arifin; Indah Puspitasari; Rahayu Mekar Bisono; Yuli Astuti
JURNAL ABDIMAS DOSMA (JAD) Vol. 2 No. 2 (2023): JUNI
Publisher : IKATAN ALUMNI DOSEN MAGANG KEMENRISTEKDIKTI TAHUN ANGKATAN 2017

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70522/jad.v2i2.35

Abstract

In the food processing industry, such as various types of crackers, various fried peanuts and various other packaged foods, the durability and durability of these food products must of course be given great attention. One of the reasons why various foods are not durable and expire quickly is the high oil content contained in these various foods. Manually draining oil is certainly not effective for the production of various foods in large quantities on an industrial scale. For that we need a tool or machine that can drain and reduce the oil content that is still contained in these various foods. The machine used is honey sweet potato chip spinner machine. Tawangmangu Village, Tawangmangu District, Central Java is known as a tourist area which is located on the slopes of Mount Lawu with various kinds of tourist beauty presented. Tourists often come to enjoy the natural beauty of Tawangmangu which is also rich in natural products, one of which is sweet potato honey. However, local residents cannot maximize honey sweet potato as a special food which is used as souvenirs for tourists, so there is a need for an effort to engineer food processing made from honey sweet potato in the form of procurement and training of electric powered honey sweet potato chip spinner machines for Karang Taruna Orpega 02 (Organization Erlangga Youth) in the Tawangmangu Village, Central Java. At the time of implementation, Mitra's enthusiasm was very large to take part in a series of training events for making food slicer spinners. There were 20 members of the youth group who took part in a series of training activities.
Pengaruh Penambahan Konfirgurasi Foam Nine Cell Square Crash box terhadap Pola Deformasi dan Penyerapan Energi Prayogo Arie Bowo; Kholis Nur Faizin
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2793

Abstract

Crash box is a crucial component in a vehicle's structure, designed to absorb impact energy. Crash box design has been developed to improve energy absorption capability. In this study, the square nine-cell crash box is varied with foam configuration. The addition of foam was chosen due to its lightweight as a filler for crash box. The research method used a computer simulation using ANSYS software. The nine-cell square crash box model consists of three squares, each with a length of 30 mm, 50 mm, and 65 mm, with a connecting rib thickness of 2 mm. Crash box performance is evaluated based on energy absorption and deformation patterns. Frontal load modeling on crash box was modeled with a speed of 12 m/s. Based on the simulation results, it can be found that the configuration of foam on the crash box affects the absorption energy and deformation patterns. The CF-CB 3 model provides energy absorption of 34% compared with no foam crash box due to a more uniform deformation pattern.
INTEGRATING COMPUTER VISION AND MECHATRONICS FOR AUTOMATED QUALITY CONTROL IN SMART PRODUCT MANUFACTURING Kholis Nur Faizin; Ahmed Al-Fahim; Maria Lahti
Journal of Computer Science Advancements Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i3.2638

Abstract

Smart manufacturing’s (Industry 4.0) complexity demands automated quality control (AQC), as manual inspection is a major bottleneck. A critical gap exists in integrating “passive” Computer Vision (CV) detection with “active” mechatronic intervention, creating a “siloed” research problem. This research aims to design, develop, and validate a closed-loop AQC framework, integrating deep learning CV and mechatronics to autonomously perform the full QC cycle from detection to real-time physical intervention. An experimental systems integration design was employed. A Convolutional Neural Network (CNN) was trained on a 17,000-image dataset. A Robotic Operating System (ROS) framework was utilized as the integration layer for “hand-eye” calibration, synchronizing the CV node with a 6-axis robotic arm on a test rig. The CV model achieved 99.7% mAP (42ms latency) and calibration yielded ±0.35mm precision. The fully integrated system validation achieved a 99.15% Defect Detection Rate (DDR), a 0.11% False Positive Rate (FPR), and a 97.4% Successful Rejection Rate (SRR). The research empirically validates a holistic, closed-loop AQC framework, successfully solving the “siloed” gap. The system provides a proven, scalable blueprint for moving beyond passive detection to fully autonomous quality control in smart manufacturing.
Co-Authors Abdul Aziz Agus Choirul Arifin Ahmed Al-Fahim Farid majedi Indah Puspitasari Maria Lahti Muhammad Taali NANANG ROMANDONI Prayogo Arie Bowo Rahayu Mekar Bisono yoga fakhrudi Yuli Astuti