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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Ilmiah Mikrotek Jurnal Simantec REKAYASA Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Journal of Robotics and Control (JRC) International Journal of Science, Engineering and Information Technology
Dafid, Ach
Program Studi Teknik Mekatronika, Fakultas Teknik, UniversitasTrunojoyo Madura Jl. Raya Telang, PO BOX 2, Kamal, Bangkalan - 69162
Aerospace Engineering Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Physics Other

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Penerapan sistem informasi kebutuhan masyarakat dan potensi desa dalam upaya menuju desa mandiri Sutikno; Dafid, Ach.; Sumarto
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 7 No 3 (2024): Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v7i3.21209

Abstract

Tingginya kemiskinan dan rendahnya kinerja pembangunan ekonomi di daerah pedesaan membutuhkan sentuhan sistem informasi yang bisa mengakselerasi pertumbuhan ekonomi. Pengabdian ini menawarkan Sistem Informasi Kebutuhan Masyarakat dan Potensi Desa (SIKEMASDES). Program pengabdian masyarakat di Desa Kebundadap Timur telah melaksanakan lima bentuk pemberdayaan masyarakat yaitu: (a) Input data kebutuhan per kapita masyarakat. (b) Input data potensi ekonomi rumah tangga, usaha mikro, dan BUMDES; (c) Interpretasi hasil Aplikasi SIKEMASDES; (d) pengenalan Aplikasi SIKEMASDES dan Ekonomi Digital pada masyarakat desa; (f) Focus Group Discussion dan evaluasi untuk perbaikan sistem. Dengan adanya pemberdayaan tersebut diharapkan Desa Kebundadap Timur menjadi desa “Mandiri” dan masyarakatnya menjadi lebih sejahtera melalui pemanfaatan potensi yang ada di desa.
Enhanced Precision Control of a 4-DOF Robotic Arm Using Numerical Code Recognition for Automated Object Handling Sukri, Hanifudin; Ibadillah, Achmad Fiqhi; Thinakaran, Rajermani; Umam, Faikul; Dafid, Ach.; Kurniawan, Adi; Morshed, Md. Monzur; Kurniawan, Denni
Journal of Robotics and Control (JRC) Vol. 6 No. 1 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

This research develops a 4-DOF robotic arm system that utilizes numerical codes for accurate, automated object handling, supporting advancements in sustainable industrial automation aligned with the UN Sustainable Development Goals (SDGs), particularly Industry, Innovation, and Infrastructure (SDG 9). Key contributions include the integration of EasyOCR for reliable code recognition and a control mechanism that enables precise positioning. The robotic system combines a webcam for visual sensing, servo motors for movement, and a gripper for object manipulation. EasyOCR effectively recognizes numerical codes on randomly positioned objects against a uniform background while the microcontroller calculates servo angles to guide the arm accurately to target positions. Testing results show a success rate exceeding 94% for detecting codes 1 to 4, with minor servo angle errors requiring adjustments in arm extension by 30 mm to 50 mm. Positional error analysis reveals an average error of less than 1.5 degrees. Although environmental factors like lighting can influence code visibility, this approach outperforms traditional methods in adaptability and precision. Future research will focus on enhancing code recognition under variable lighting and expanding the system's adaptability for diverse object types, broadening its applications in industries demanding high efficiency.
Optimizing K-Nearest Neighbors with Particle Swarm Optimization for Improved Classification Accuracy Dafid, Ach.; Sudianto, Achmad Imam; Thinakaran, Rajermani; Umam, Faikul; Adiputra, Firmansyah; Izzuddin; Sitepu Debora , Ribka
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 2 (2025): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i2.30775

Abstract

This study aims to improve the performance of the K-Nearest Neighbors (KNN) algorithm in classifying public reviews of Batik Madura through optimizing the K value using the Particle Swarm Optimization (PSO) algorithm. Public reviews collected from the Google Maps platform are used as a dataset, with positive, negative, and neutral sentiment categories. Optimization of the K value is carried out to overcome the constraints of KNN performance, which is highly dependent on the K parameter, with PSO providing a more efficient approach than the grid search method. However, PSO also presents challenges such as sensitivity to parameter tuning and potential computational overhead. This study has succeeded in developing a web-based system using the Python Streamlit framework, which makes it easy for users to access sentiment analysis results. Testing shows that optimizing the K value with PSO increases the accuracy of KNN to 88.5% with an optimal K value of 19. However, this accuracy is not compared to other optimization techniques, leaving its relative advantage unverified. The results are expected to help Batik Madura entrepreneurs in evaluating public perception and guiding strategic innovations. Research outputs include a prototype, intellectual property registration, and journal publication, although the role of deep learning models is only briefly noted without further development.
Penerapan Sistem Kontrol Adaptif Proportional Integral Derivative (PID) pada Mesin Penimbang Mie dengan Konveyor Dafid, Ach; Umam, Faikul; Budiarto, Hairil
Rekayasa Vol 18, No 2: Agustus, 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v18i2.31610

Abstract

Indonesia is the second-largest instant noodle consumer in the world after China, with consumption reaching more than 12 billion packs per year. This high demand drives the need for innovation in the production process, especially in the weighing and cutting aspects, which are still carried out manually in small and medium industries. Manual processes not only require more time and energy, but also result in variations in packaging weight that are not uniform and reduce production efficiency. This study aims to design and implement a Proportional Integral Derivative (PID) adaptive control system on a noodle weighing machine with a conveyor. The system was developed using a load cell sensor to measure the noodle dough weight, a servo motor as a cutting actuator, and a DC motor as a conveyor drive, all of which are controlled by an Arduino ATmega 2560 microcontroller. The research methodology includes mechanical design, electronic design, control system programming, sensor calibration, and performance testing. The test results show that the system is able to produce noodle portions with a target weight of 50 grams consistently. The prototype has conveyor dimensions of 100×20×8 cm with a speed of 26 cm/ms, controlled using tuned PID parameters (Kp=1.5; Ki=1; Kd=1.7). From 20 trials, the system produced an average error of 0.75% and a success rate of 99.25%. Thus, the application of the PID adaptive control system has been proven to improve weighing precision, conveyor speed stability, and production efficiency. This innovation is expected to be a simple and affordable solution to support the automation of small and medium industries in Indonesia in facing increasingly fierce food market competition.
Co-Authors Achmad Fiqhi Ibadillah Adi Kurniawan Adi Kurniawan Saputro Andharini Dwi Cahyani Doni Abdul Fatah Faikul Umam Fifin Ayu Mufarroha Firmansyah Adiputra Firmansyah Adiputra Hairil Budiarto Ika Oktavia Suzanti Izzuddin Khusnul Fatimah Kukuh Winarso Kurniawan, Denni Morshed, Md. Monzur Ponco Siwindarto Rullie Annisa Sholeh, Mahrus Siswojo, Bambang Sitepu Debora , Ribka Sudianto, Achmad Imam Sukri, Hanifudin Sumarto SUTIKNO Thinakaran, Rajermani Triwidyaningrum, Vivi Weny Findiastuti Ziyyad Yassar