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Pengembangan Instrumen Pewarnaan Alam pada Studio Wastra Pinankabu Muhammad Ilhamdi Rusydi; Prima Fithri; Haznam Putra; Andi Pawawoi; Muhammad Imran Hamid; Riko Nofendra
Warta Pengabdian Andalas Vol 28 No 4 (2021)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jwa.28.4.514-520.2021

Abstract

One of the obstacles the Pinankabu studio faces is the lack of adequate equipment for processing silk threads and the currently available dyeing equipment for natural dyeing. Some equipment such as degumming pans, hangers, furnaces, and stoves are no longer suitable for needs. The properties of silk, which vary with demand and temperature, must be studied under appropriate conditions. Currently, partners can not confirm whether these conditions are met at work. The planned solution to this problem is the design of degumming pans, hangers, furnaces, and stoves that can increase work effectiveness and improve the quality of production and design systems to measure pH and temperature accurately and in real-time. This activity aims to develop yarn processing equipment at Pinankabu studio to increase productivity and maintain product quality. The expected benefits of this activity are that partners have natural colouring instruments that can improve the quantity and quality of production. Operators can work comfortably because the equipment is designed to design ergonomic users. Equipment that will be developed is an example of a similar business. The method used was the implementation of engineered products on partners. The implementation stages consisted of problem formulation, solution determination, solution design, implementation, evaluation, and activity outputs. The expected result is that partners can increase the productivity and quality of the yarn produced.
Water Quality Control in Carp Fish Ponds Using Fuzzy Logic Darwison; Zaini; Riko Nofendra; Amirul Luthfi; Gylang Bramantya Pratama
JURNAL NASIONAL TEKNIK ELEKTRO Vol 13, No 2: July 2024
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v13n2.1136.2024

Abstract

Regularly monitoring pond water quality in fish farming is a crucial practice often neglected, negatively impacting goldfish yields. Addressing this issue, a sophisticated device leveraging fuzzy logic has been engineered to accurately regulate acidity, temperature, and water levels, with real-time data accessible through the Blynk smartphone application. This innovative system employs a trio of sensors—namely an acidity sensor, a DS18B20 temperature sensor, and an HCSR04 ultrasonic sensor—coupled with three output mechanisms: an inlet pump, an outlet pump, and a heater, to ensure precise control. Rigorous testing under various conditions at different times of the day, lasting approximately one hour each, demonstrated the device's capability to adjust water's acidity by about 0.1 units per minute, reflecting the influences of fish activity and water temperature, with a deficient accuracy error of 0.19%. Additionally, the system's effectiveness in maintaining a consistent water level was confirmed, exhibiting a refill rate of 1.2 cm per minute as detected by the sensor. This integrated system is instrumental in safeguarding goldfish health and optimizing their productivity by ensuring water quality remains within the desired acidity, temperature, and volume parameters.
Performance Evaluation of Load Frequency Control in Reheat Power Systems with Filtered PID Controllers Laksono, Heru Dibyo; Avif Tiftazani; Mumuh Muharam; Rizki Wahyu Pratama; Riko Nofendra; Ramadhani, Salisa 'Asyarina
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 5 No. 1 (2025): May 2025
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v5i1.95

Abstract

This study aims to design and analyze a Load Frequency Control (LFC) system for a power plant with a reheat turbine, using PID-based controllers with various filter configurations to optimize frequency stability under load fluctuations. A series of PID, PD, and PDF controllers is implemented and tested through MATLAB simulations, focusing on key dynamic performance indicators such as rise time, peak time, settling time, and maximum overshoot. The findings reveal that PD and PDF controllers—particularly those that omit droop characteristics and incorporate filters—consistently outperform conventional PID controllers regarding faster response and improved transient stability. The integration of filters plays a crucial role in dampening oscillations and reducing overshoot, which is essential in maintaining system robustness during load disturbances. However, the study also identifies that the absence of droop control introduces limitations in achieving steady-state accuracy. Despite improvements in dynamic performance, the system continues to exhibit steady-state deviations, highlighting a trade-off between transient responsiveness and long-term stability. This underscores the need for hybrid or adaptive control strategies that combine fast response benefits with droop-based steady-state correction. The study contributes valuable insights toward developing more resilient and efficient frequency control mechanisms in modern power generation systems.