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Pelatihan Robotika Dasar Bagi Guru dan Siswa dalam Rangka Menunjang Program Unggulan Madrasah Di MTsN 3 Kota Padang Ratna Dewi; Firdaus Firdaus; Anton Hidayat; Rikki Vitria; Ramiati Ramiati
Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Vol 5 No 1 (2023)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jppm.v5i1.696

Abstract

Kerjasama dan kegiatan yang akan dilakukan adalah pada salah satu madrasah di lingkungan Kantor Kementerian Agama yaitu MTsN 3 Kota Padang. Permasalahan yang dialami oleh MTsN 3 Kota Padang adalah sekolah ini belum memiliki unit program robotik dan masih terbatasnya kemampuan/kompetensi para guru khususnya guru yang nantinya akan membimbing siswa pada unit program ini. Sedangkan berdasarkan surat ketetapan yang dikeluarkan oleh Kepala Kantor kementerian Agama Kota Padang yang menyatakan bahwa mulai tahun 2021 Program Robotik merupakan salah satu program unggulan Madrasah di lingkungan Kantor Kementerian Agama Kota Padang baik di tingkat Madrasah Ibtidaiyah (MI), Madrasah Tsanawiyah (MTs) maupun madrasah Aliyah (MA). Oleh karena itu berdasarkan diskusi dan surat yang diajukan oleh kepala sekolah MTsN 3 Kota Padang kepada Pimpinan Politeknik Negeri Padang (PNP), sekolah berkeinginan segera merintis unit program robotik ini. Untuk mengatasi masalah ini dilakukan upaya kegiatan pelatihan dan pendampingan kepada guru dan siswa agar unit program robotik yang akan dirintis dapat berjalan dengan baik. Pada tahap awal ini fokus pada kegiatan dapat membuat karya inovasi sederhana yang berhubungan dengan Robotik diantaranya pengenalan robot, komponen pendukung robot serta pembuatan program robot sederhana. Peningkatan kompetensi guru dan siswa merupakan target luaran utama yang ingin dicapai. Indikatornya adalah munculnya unit program robotik sebagai salah satu ekstrakulikuler siswa sehingga akan muncul kreatifitas-kreatifitas baru baik dari guru maupun siswa.
Pelatihan IoT Untuk Implementasi Smart Home Di SMKN 8 Padang Sahid Ridho; Firdaus Firdaus; Yustini Yustini; Zurnawita Zurnawita; Abdi Abdillah; Dedi Tri Laksono
Jurnal Insan Pengabdian Indonesia Vol. 1 No. 2 (2023): Juni : Jurnal Insan Pengabdian Indonesia
Publisher : PT. ALHAFI BERKAH INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62007/jouipi.v1i2.64

Abstract

In the current era of digital connectivity, the Internet of Things (IoT) has gained utmost importance. However, at SMKN 8 Padang, students in Computer Networking and Telecommunications Engineering program lack a comprehensive understanding of IoT and its application in Smart Home systems. To address this, the Community Service Team (PKM) devised an IoT training program with a focus on Smart Home implementation. Through lectures, guidance, and hands-on training, students gained insights into IoT fundamentals, hardware and software components, and practical skills for designing and implementing Smart Home systems. The training sessions proceeded smoothly, and students showed enthusiasm in assembling and connecting devices like Arduino, Relay, and ESP8266. Evaluations revealed that 98.33% of the students improved their knowledge and skills, with 3.33% expressing satisfaction with the training. This IoT training significantly enhanced students' understanding of emerging technologies and motivated them to seek innovative solutions in the future. Empowered with relevant technical skills, SMKN 8 Padang students are expected to contribute to the implementation of Smart Home systems and confidently face the challenges of an increasingly digital and interconnected future
Adaptive Fuzzy-PID Auto-Tuning for DC Motor Speed Control Under Varying Damping Coefficients Halim Mudia; Apriska Prameswari; Audy Audy; David Eka Putra; Firdaus Firdaus
Journal Of Engineering And Technology Innovation ( JETI ) Vol. 3 No. 01 (2026): Journal Of Engineering And Technology Innovation ( JETI )
Publisher : Rey Media Grafika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66084/jeti.v3i01.598

Abstract

DC motors are common in industry due to their simplicity, reliability, and ease of control. However, their speed regulation is sensitive to parameter changes and load disturbances. Variations in parameters like damping coefficients, caused by friction, temperature, and wear, can impair fixed-gain PID controllers. This paper introduces an adaptive fuzzy-PID auto-tuning (AFPAT) scheme to ensure robust speed control amid uncertainties and load disturbances. The controller uses a Sugeno fuzzy system to adjust PID gains online based on speed error (e) and derivative error (de). A second-order DC motor model assesses robustness by varying damping coefficients across five scenarios (4.54 ≤ a1 ≤ 13.62) and a 50 rpm load disturbance at 900 rpm setpoint. Performance measures include steady-state error, overshoot, settling time, and recovery time post-disturbance. Results show the controller achieves zero steady-state error and overshoot with settling times from 2.74 to 4.28 seconds and recovery times from 3.05 to 4.58 seconds. Compared to open-loop, with a steady-state error of 2963, the controller demonstrates robust speed regulation under parameter variations and disturbances.
Non Linear Modeling of the Relationship Between Raw Water Turbidity, Accelerator Unit Turbidity, and Filtration Turbidity Using a Quadratic Interaction Model in a Water Treatment Plant Nelvidawati; firdaus Firdaus; M Andre Kurnia Festa
International Journal of Wireless And Multimedia Communications Vol. 3 No. 1 (2026): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jowim.v3i1.237

Abstract

This study aims to analyze the non-linear relationship between raw water turbidity, turbidity after the accelerator unit, and turbidity after the filtration unit at the Gunung Pangilun Water Treatment Plant (WTP) in Padang City using the Quadratic Interaction Model (QIM) approach. Turbidity data were collected from 1–5 June 2025 at one-hour intervals, resulting in 50 data points for each sampling location. The data processing stages included missing value inspection, outlier detection using the Interquartile Range (IQR) method, data consistency checking, relationship visualization among variables, and QIM-based modeling using Python. The results show that the QIM was unable to adequately represent the relationships among the variables, as indicated by an R-squared value of 0.145 and an adjusted R-squared of 0.048. All model parameters exhibited p-values greater than 0.05, indicating no statistically significant influence on turbidity after filtration. Model evaluation yielded an RMSE of 0.496 NTU and a MAPE of 19.34%, suggesting a moderate level of prediction accuracy. Additionally, the analysis identified 14% outliers and 9 inconsistent data points for each sampling location.