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Development of a Human Machine Interface Based Learning System for Pump Performance Practicum Herman Budi Harja; Andri Pratama; Ruminto Subekti; Marta Hayu Raras Sita Rukmika Sari; Suyono Suyono
Jurnal Media Teknik dan Sistem Industri Vol. 10 No. 1 (2026)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v10i1.5692

Abstract

The digitalization of physical fluid phenomena in pump performance teaching media remains a significant challenge in the development of online and laboratory-based learning tools. This study aims to develop a Human Machine Interface (HMI) based device as a teaching aid to support pump performance practicum for students. The system is designed to provide informative, real time, and responsive visualizations associated with valve opening adjustments and motor shaft rotation. The development process follows the waterfall model, which includes requirement analysis, system design, implementation, and verification. The resulting HMI interface dashboard demonstrates interactive capabilities, enabling users to monitor and control system parameters effectively. The system responds dynamically to operational changes and displays variations in key parameters such as pressure and fluid flow rate in real time. The implementation of this HMI based learning media is expected to enhance students’ understanding of fundamental pump performance concepts by providing a more engaging and intuitive learning experience. Through dynamic visualization and interactive control features, the system bridges the gap between theoretical knowledge and practical application during laboratory sessions.
Design of a Meeting Room Air Conditioning System Based on Fuzzy Logic Control Mohammad Harry Khomas Saputra; Ridwan; Nenden Siti Nurkholipah; Siti Hadiaty Yuningsih; Marta Hayu Raras Sita Rukmika Sari; Aan Setiawan
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background Conventional room cooling systems generally operate at fixed fan speeds without considering variations in room temperature and occupant density, leading to reduced thermal comfort and inefficient energy consumption Purpose This study aims to design and implement an automatic room cooling system that adjusts fan speed based on room temperature and visitor density using Mamdani fuzzy logic control. Methodology The system integrates a DHT22 sensor to measure room temperature and an ultrasonic sensor to estimate visitor density. Mamdani fuzzy logic was employed to process linguistic variables for temperature ("cold," "normal," and "hot") and visitor density ("sparse," "crowded," and "very crowded") to determine the appropriate fan speed. Findings Experimental results demonstrate that the system successfully adjusts fan speed according to environmental conditions. At 17°C with 6 visitors (sparse), the fan operates at low speed (PWM = 39.6), while at 34°C with 37 visitors (very crowded), it reaches high speed (PWM = 211). Under moderate conditions (22°C with 25 visitors), the fan operates at medium speed (PWM = 125), indicating effective adaptive control. Implications The proposed system improves occupant comfort while promoting energy efficiency through adaptive fan speed control. It can be applied in meeting rooms, seminar halls, conference rooms, and other indoor environments with dynamic occupancy levels. Originality This study presents an adaptive room cooling system that integrates room temperature and visitor density using Mamdani fuzzy logic, providing a practical and energy-efficient solution for intelligent indoor environmental control.
MANUFACTURE OF NATURAL HUMAN-HAIR FIBER-REINFORCED COMPOSITES WITH COMBINED 0°/±45° FIBER ORIENTATION Okta Pianti Rahayu; Antonius Adi Soetopo; Marta Hayu Raras Sita Rukmika Sari
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

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Abstract

Background Human hair is an abundant biodegradable waste material generated worldwide; however, its potential as a reinforcement material in polymer composites remains largely underutilized despite its favorable tensile properties compared with many natural fibers. Existing studies have primarily focused on simple fiber orientations, while the mechanical performance and reliability of human-hair composites with combined fiber orientations have received limited attention Purpose This study aims to evaluate the tensile and flexural properties of a human-hair fiber- reinforced epoxy composite with a combined 0°/±45° symmetric and balanced fiber orientation and to assess the reliability of its mechanical performance using Weibull statistical analysis Methodology Human hair fibers were chemically treated with a 5% NaOH solution for 30 minutes and reinforced with an Epoxy Bakelite EPR-174 matrix at a 50:50 fiber-to-matrix weight ratio using the hand lay-up fabrication method. The composite specimens were cured at room temperature for 12 hours and tested according to ASTM D3039 for tensile properties and ASTM D7264 for flexural properties. A Weibull distribution analysis was performed to evaluate the reliability of the measured mechanical properties. Findings The developed composite exhibited an average tensile strength of 32.24 MPa and an average flexural strength of 63.13 MPa. Based on Weibull analysis, the predicted strengths at 90% reliability were 31.05 MPa for tensile loading and 60.00 MPa for flexural loading. The combined 0°/±45° fiber orientation effectively distributed the applied load across multiple fiber directions, resulting in lower tensile strength than a fully unidirectional 0° laminate while providing a more balanced mechanical response and enhanced structural reliability. Implications The findings demonstrate that human-hair fiber composites have significant potential as sustainable and environmentally friendly reinforcement materials for lightweight composite applications. Future studies should investigate additional fiber orientations, optimize fiber volume fractions, and incorporate density characterization following ASTM D792, together with microstructural analyses, to further improve mechanical performance and validate failure mechanisms. Originality This study is the first to provide a reliability-based mechanical characterization of a human-hair fiber-reinforced Epoxy Bakelite EPR-174 composite with a combined 0°/±45° symmetric and balanced fiber orientation. The integration of experimental mechanical testing and Weibull reliability analysis offers new insights into the structural performance of biodegradable hair fiber composites for engineering applications.