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All Journal Jurnal Layanan Masyarakat (Journal of Public Service) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA)
Nahdliyah, Sisca Dina Nur
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Humanities Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Environmental Science Social Sciences Other

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ROBOTICS AND ARTIFICIAL INTELLIGENCE TRAINING FOR STUDENTS IN INTENSIF TARUNA PEMBANGUNAN SENIOR HIGH SCHOOL SURABAYA Agustin, Eva Inaiyah; Nahdliyah, Sisca Dina Nur; Putri, Tesa Eranti; Prihasty, Wilda; Tunggadewi, Elsyea Adia; Arifianto, Deny; Wardhana, Ananthyo Whisnu
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 9 No. 3 (2025): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/.v9i3.2025.341-351

Abstract

Artificial Intelligence is a new science that is currently being widely developed and used in all aspects to solve various tasks and problems. In advanced robotics systems, AI is used in robots to understand, reason, and act autonomously in complex environments. So far, partners still borrow robots from other agencies during robotics extracurricular activities. This community service activity aims to introduce Artificial Intelligence (AI) and robotics technology to high school students and hone students' skills and can develop extracurricular robotics. This activity is in the form of training that begins with providing material on the topic of AI and robotics. This training began with providing AI and robotics materials attended by 30 students and took place in the computer laboratory of SMA Intensive Taruna Pembangunan Surabaya (SMA ITP Surabaya). The robot used is an arm robot, a robot that is often used in industry for various tasks. To determine the increase in knowledge and skills, pre-test and post-test methods are carried out before and after the training and case studies/projects are provided at the end of the training. There was an increase in student knowledge of 18.77% and student skills as evidenced by all (10) groups being able to move the target. With this activity, SMA ITP Surabaya has a robotics module in the form of an arm robot and is able to develop and increase student interest in robotics extracurricular activities.
An Accuracy Assessment of an IoT-Based Monitoring System for Household Water Consumption in Estimating Volume and Usage Cost: Analisis Tingkat Akurasi Sistem Monitoring Konsumsi Air Rumah Tangga Berbasis IoT terhadap Estimasi Volume dan Biaya Pemakaian Tunggadewi, Elsyea Adia; Nahdliyah, Sisca Dina Nur
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 9 No. 2 (2025): Oktober
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v9i2.1705

Abstract

Water-use efficiency in the household sector is a crucial aspect in supporting the sustainability of water resources. Enhancing this efficiency requires a monitoring system capable of accurately measuring consumption volume and precisely estimating usage costs. A relevant approach in this context is the implementation of Internet of Things (IoT)-based technology, which enables real-time data acquisition and transmission through smart water meter devices. This study aims to evaluate the accuracy of an IoT-based household water consumption monitoring system in estimating usage volume and calculating cost. The method involves a comparison between actual water flow data and system measurements, as well as an analysis of the discrepancy between actual costs and cost estimates produced by the application. Experimental results indicate an average deviation of 9.12% between the actual and measured volume. In contrast, the cost estimation demonstrates a very high level of accuracy, with a maximum discrepancy of only IDR 1 compared to the actual cost. These findings indicate that the system performs reliably in estimating cost, although some inaccuracies remain in volume measurement. Overall, the system demonstrates considerable potential as an effective and sustainable technological solution to support household water consumption management.
Co-Authors Agustin, Eva Inaiyah Arifianto, Deny Elsyea Adia Tunggadewi Prihasty, Wilda Tesa Eranti Putri Wardhana, Ananthyo Whisnu