Claim Missing Document
Check
Articles

Found 4 Documents
Search

Digital PID Trainer Based On Arduino For DC Motor Speed Control With Ziegler Nichols Method Dana Edie Ardana, Dana Edie Ardana; Yulian Zetta Maulana; Gunawan Wibisono
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 3: November 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n3.1301.2025

Abstract

This research aims to design and implement a Proportional Integral Derivative (PID) control system to regulate the speed of a DC motor using the Ziegler Nichols tuning method, focusing on improving the stability and responsiveness of the system for industrial automation applications. The research uses a mathematical model of a DC motor derived from its electrical and mechanical components for simulation and analysis of the system behavior. The PID controller is implemented with the Ziegler Nichols tuning method (open and closed loop) to determine the optimal parameters (Kp, Ki, Kd). The system was tested using Arduino, L298N motor driver, and MATLAB for simulation and analysis. Performance is evaluated based on response characteristics such as rise time, settling time, overshoot, and steady state error. The Ziegler-Nichols method successfully tuned the PID controller with optimal parameters Kp = 11.7, Ki = 1, and Kd = 0.25. Analysis of the system response shows rise time = 0.4866 s, settling time = 2.5829 s, overshoot = 19.6194%, and steady state error = 0.0861%. This PID-controlled system provides fast response and good stability, with significant improvement in reducing steady state error and overshoot compared to systems without controllers or those using trial-and-error tuning. The Ziegler-Nichols tuning method is effective for optimizing PID control in DC motor speed regulation. The proposed system offers a reliable and efficient solution for industrial applications that require precision motor control.
Rekomendasi Fashion Menggunakan Content-Based Filtering dengan Integrasi Fitur Visual Dan Tekstual Gunawan Wibisono; Fiyado Yudha Witama; Muhammad Gifary Nezar; Perani Rosyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 12 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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

Abstract

The growth of fashion e-commerce leads to information overload for users. Traditional collaborative filtering-based recommendation systems often face cold-start problems. This study aims to develop a content-based fashion recommendation system that integrates visual and textual features without relying on user historical data. The proposed hybrid approach combines visual feature extraction using Convolutional Neural Network (VGG16) and textual feature extraction using Term Frequency-Inverse Document Frequency (TF-IDF). The Fashion Product Images dataset was modified from 44,400 to 5,000 samples through stratified sampling for computational efficiency. Experimental results show that the hybrid system with 60% visual and 40% textual weights achieved the best performance: Precision@5 of 78%, Recall@5 of 65%, and Accuracy@5 of 88%. The system's response time of 0.82 seconds meets real-time application criteria. Dataset reduction only decreased accuracy by 0.4% from the full dataset, but reduced training time by 82% and memory usage by 75%. This research proves that multimodal integration in content-based systems can produce relevant, personalized, and computationally efficient fashion recommendations.
Rancang Bangun Sistem Monitoring Kelembapan Tanah dan Suhu Udara Berbasis IoT Yavvi Adi Nurachman; Maulana, Yulian Zetta; Gunawan Wibisono; Luqman Hakim
Jurnal SINTA: Sistem Informasi dan Teknologi Komputasi Vol. 3 No. 1 (2026): SINTA: JANUARI
Publisher : Berkah Tematik Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61124/sinta.v3i1.133

Abstract

Penelitian ini bertujuan merancang sistem otomatis untuk memantau dan mengendalikan kelembapan tanah dalam pembudidayaan tanaman obat keluarga. Tanaman obat memerlukan kelembapan tanah optimal antara 60% hingga 80% untuk perkembangan yang baik. Penyiraman manual yang umum dilakukan membutuhkan sistem otomatis yang dapat dikendalikan dari jarak jauh via aplikasi atau website. Solusi yang diusulkan melibatkan sensor YL-69 untuk mengukur kelembapan tanah, sensor DHT 22 untuk suhu udara, pompa air berbasis motor DC, LCD, dan interface smartphone atau web. Kategori kelembapan tanah yang diukur adalah kering (0% - 80%). Metode penelitian menggunakan Research and Development, dengan pengujian kalibrasi sensor dan uji sistem menggunakan metode black box software. Sistem ini menggunakan NodeMCU ESP32 sebagai pusat pengendalian data dan pompa sebagai aktuator utama untuk penyiraman. Data ditampilkan melalui website atau aplikasi mobile Blynk, dengan sistem otomatis menghentikan penyiraman saat kelembapan tanah mencapai 70%. Hasil penelitian menunjukkan dengan nilai tersebut, bahwa sistem ini efektif menjaga kelembapan tanah secara otomatis dan dapat dioperasikan dari jarak jauh melalui perangkat handphone atau laptop.
Implementation of the Inquiring Minds Want to Know Strategy to Increase the Learning Spirit of Class IV Regular A Students in SKI Learning at TMI Al-Amien Prenduan Gunawan Wibisono; Mohammad Firdaus
Values: Jurnal Kajian Islam Multidisiplin Vol. 3 No. 1 (2026)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/values.v3i1.155

Abstract

This study aims to conceptually analyze the potential of the Inquiring Minds Want to Know (IMWTK) method in increasing learning enthusiasm in Islamic Cultural History (SKI) subjects. The research method used is qualitative library research with a literature search of the last 5 years (2021–2025) through journal articles, proceedings, and relevant scientific sources discussing IMWTK, inquiry-based learning, motivation/situational motivation, curiosity, and SKI learning. The literature data were analyzed through thematic analysis to produce: (1) a syntactic description of IMWTK and its learning principles, (2) a mapping of the IMWTK mechanism that stimulates curiosity, engagement, and self-regulation, which are the foundations of learning enthusiasm, and (3) an applicable IMWTK implementation design for the SKI material context. The results of the study show that IMWTK has the potential to increase enthusiasm for learning SKI because it begins the learning process with questions/riddles that arouse curiosity gaps, provides space for opinion and argument, and directs students to verify answers through source searches and meaningful discussions. In conclusion, IMWTK is worthy of being used as an alternative active-inquiry strategy in SKI learning, provided that there is support in the form of question design, availability of sources, and assessments that evaluate students' thinking processes and participation.