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Utilization of Ultrasonic Sensors as a Robotics Learning Medium in STEM-Based Engineering Education Khoerunnisa, Ahshonat; Setiawan, Aan Eko; Yuningsih, Siti Hadiaty
International Journal of Ethno-Sciences and Education Research Vol. 5 No. 3 (2025): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v5i3.1050

Abstract

The advancement of robotics technology has supported the integration of efficient navigation systems into STEM-based learning (Science, Technology, Engineering, and Mathematics), particularly in technical and vocational education. One essential component in robot navigation is the distance sensor, with ultrasonic sensors widely adopted due to their ease of integration into project-based learning. This study aims to analyze the performance of three ultrasonic sensors—HC-SR04, HY-SRF05, and RCWL-1601 within the context of Arduino-based microcontroller projects used as educational tools for robotics instruction. Performance analysis was carried out in terms of measurement accuracy, data stability, and response time. The results show that the HY-SRF05 sensor achieved the highest accuracy (96.75%) and the lowest standard deviation (0.23 cm), indicating the most stable performance. The HC-SR04 sensor showed relatively high accuracy but greater data variation, while the RCWL-1601 had the fastest response time but less stable measurements, especially on non-reflective surfaces. These findings can serve as a practical reference for selecting appropriate sensors in project-based teaching activities, particularly in developing robotics learning media that require precision and consistent data. Future research will focus on applying signal processing algorithms such as the Kalman filter and integrating these technologies into technical education curricula.
Pemberdayaan Guru SMK Melalui Kurikulum Digital dan Teknologi CAD/CAM Berbasis Design for Manufacturing (DfM) pada Praktikum Pemesinan di SMK MedikaCom Bandung Arliyanto, P Yudi Dwi; Rivandi, Merdieco; Sari, Marta Hayu Raras Sita Rukmika; Yushardian, Hamdi Akmal; Wibowo, Rifky Budiarto; Yusuf, Rifqi Akmal; Shandra, Olivia Ferisca; Debora, Fransisca; Arridho, Ilham Ali; Khoerunnisa, Ahshonat; Setiawan, Aan Eko; Amhar, Usamah
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20800

Abstract

Background: Vocational education plays a crucial role in preparing competent graduates who meet industry needs. SMK MedikaCom Bandung, as a Center of Excellence school, continuously strives to enhance teacher competencies to improve the quality of graduates who can be absorbed into the workforce and to serve as a model for other vocational schools. The Department of Mechanical Engineering at SMK MedikaCom Bandung seeks to strengthen both teacher and student understanding of CAD/CAM technology through the application of CNC machines, supported by training and the integration of a (DfM)-based curriculum. Methods: The activities were conducted on August 22 and 27, 2025, through several stages, including socialization, FGDs, teacher training on DfM, development of digital teaching modules, and student mentoring in product-based projects. Evaluation was carried out using pre- and post-test instruments to measure differences in participants’ knowledge and skills before and after the program. Results: The test results indicated that all variables had p-values < 0.05, signifying a significant improvement. Teachers showed an increase in their understanding of CAD/CAM applications on CNC machines from 80% to 90% and in their knowledge of Project-Based Learning (PjBL) and Teaching Factory methods from 70% to 85%. Students also demonstrated improved comprehension of CNC utilization in non-conventional machining learning from 75% to 93%. Conclusions: The community service program effectively enhanced teachers’ and students’ mastery of CAD/CAM technology and their understanding of DfM. These outcomes support the implementation of an industry-based digital curriculum and strengthen the relevance of vocational school learning to workforce demands.
Application of Conditional Trajectory Generation on Stewart Platform Robot as a CNC Machine Drive Khoerunnisa, Ahshonat; Nur Jamiludin R; Setiawan, Aan Eko; Yuningsih, Siti Hadiaty; Hòe Nguyễn Đình
International Journal of Global Operations Research Vol. 6 No. 4 (2025): International Journal of Global Operations Research (IJGOR), November 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i4.433

Abstract

The development of industrial automation technology in recent decades has been very rapid. One of the technologies that supports industrial automation is robot manipulators. Robots can work with high precision, speed, and safety so that by using robots, industrial processes become more productive. The type of robot itself is divided into two, namely serial and parallel structures. Robots with parallel structures tend to be less studied, developed, and used in industry compared to serial structures even though there are several advantages of these parallel structures. Parallel structures have a kinematic configuration with a closed chain type, or it can be interpreted that each arm is connected to the point of origin. This relationship will result in robots having high precision and speed. Kinematic parallel manipulators perform better when compared to serial kinematics in terms of angular accuracy, acceleration at high speeds, and high stiffness. Therefore, this type of robot is very suitable for use in industries that require high-speed applications. In this study, a robot system was developed as a driving force for a CNC machine with its movements using a trajectory tracking control system. This system was chosen because this control has a point where each point contains position and speed information that is certainly needed for the CNC machine movement system.
Integrating AI-Assisted Speaking Platforms to Enhance English Speaking Skills among Polytechnic Students Latipah, Yeni; Hadiani, Dini; Parhani, Fajrin Mubarokah; Khoerunnisa, Ahshonat
International Journal of Ethno-Sciences and Education Research Vol. 6 No. 1 (2026): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v6i1.1163

Abstract

English speaking skills are essential for polytechnic students to meet the communicative demands of an increasingly globalized workforce. However, many students face difficulties in developing oral proficiency due to limited speaking opportunities, low confidence, and anxiety in classroom settings. This study investigates the integration of an AI-assisted speaking platform to enhance English speaking skills among polytechnic students. Employing a descriptive qualitative research design, the study was conducted over four instructional meetings in an English for Technique course and involved 60 students from two classes. Data were collected through classroom observations, questionnaires, and analysis of students’ speaking practice supported by feedback provided through the AI-assisted speaking platform. The findings indicate that the platform supported the development of key speaking components, particularly pronunciation, fluency, and grammatical awareness, by enabling repeated and self-paced practice. In addition, the use of AI-assisted speaking contributed to increased speaking confidence and learner autonomy through immediate and intelligible feedback. Despite these positive outcomes, several challenges were identified, including technical constraints, limitations in interactional naturalness, and the need for pedagogical scaffolding. The study concludes that AI-assisted speaking platforms can serve as effective supplementary tools for enhancing English speaking instruction in polytechnic education when thoughtfully integrated into classroom practice.
Design and Development of an IoT-Based Prototype System for Monitoring the Care of Dendrobium Orchids Khoerunnisa, Ahshonat; Setiawan, Aan Eko; Ridwan, Azwar Mudzakkir; Nurshiyami, Alma; Yuningsih, Siti Hardianti
CoreID Journal Vol. 3 No. 3 (2025): November 2025
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v3i3.118

Abstract

The Dendrobium orchid (Dendrobium spp.) is widely appreciated for its beauty and durability in the horticultural industry. To ensure optimal growth, continuous monitoring of environmental conditions is essential. This research presents an Internet of Things (IoT)-based monitoring system that observes real-time temperature, humidity, and soil moisture levels around the orchid. The system utilizes a DHT22 sensor for measuring air temperature and humidity and a soil moisture sensor for detecting the moisture content of the growing medium. An ESP32 microcontroller processes the sensor data and transmits it to the Ubidots cloud platform for real-time visualization. Testing showed that the sensor system achieved an accuracy rate of 4%. Data consistency between the serial monitors and the cloud was maintained, except when network disruptions occurred. This system allows users to remotely monitor critical parameters necessary for orchid health, facilitating better decision-making and timely intervention, ultimately improving the effectiveness of orchid care and maintenance.