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All Journal Mechatronics, Electrical Power, and Vehicular Technology JFA (Jurnal Fisika dan Aplikasinya) JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY Journal of Physics: Theories and Applications Syntax Literate: Jurnal Ilmiah Indonesia Jurnal ULTIMA Computing Journal of Renewable Energy and Mechanics Journal of Educational Chemistry (JEC) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) International Journal of Renewable Energy Development Journal of Mechatronics and Artificial Intelligence
Elysa Nensy Irawan
Universitas Pendidikan Indonesia
Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Other

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Analyzing Loss Components in DC Generator for Wind Turbine Applications Elysa Nensy Irawan; Kai Shibuya; Nguyen Hong Minh Giang; Rizky Hamdani Sakti
Journal of Mechatronics and Artificial Intelligence Vol 1, No 1 (2024): JMAI: June 2024
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jmai.v1i1.69864

Abstract

Direct current (DC) generators have gained attention for their simplicity and reliability in wind turbine applications. However, DC generators are subject to energy losses, including ohmic, magnetic core, and mechanical losses, which impact system performance. This research investigates these losses in DC generators used in wind turbines through experimental testing. The methodology integrates laboratory experiments with simulations to quantify and understand loss mechanisms. Findings offer insights for optimizing wind turbine efficiency and reliability. Results show significant total power loss of 99%, emphasizing the need for meticulous loss assessments. Friction, copper, and iron loss coefficients are analyzed with the value of 0.217 and 0.709, respectively. However, with the rise in input voltage levels, a noticeable pattern becomes evident, where the significance of iron loss decreases relative to other influencing factors. Understanding these dynamics is crucial for enhancing wind turbine performance and advancing sustainable energy solutions.
KIMI.AR Application for Easier and Interactive Chemistry Learning Irawan, Elysa Nensy; Salman, Fauzie; Putri, Aisyah Aira; Sakti, Rizky Hamdani; Mulya, Tri Seda; Venica, Liptia
Journal of Educational Chemistry (JEC) Vol. 5 No. 2 (2023)
Publisher : Department of Chemistry Education, Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jec.2023.5.2.16077

Abstract

Chemistry is a crucial subject since it covers the structure and makeup of the world around us. However, chemistry is frequently cited as a subject that students dislike. Most secondary school pupils believe that chemistry is difficult, uninteresting, and unimportant. Therefore, an improvement in learning technic is needed. An application called KIMI.AR was created in this research. KIMI.AR is a learning media in the form of a mobile-based augmented reality application regarding elements and the formation of chemical reactions that are expected to solve high school students' problems in the chemistry learning process. What makes the KIMI.AR application better than other chemistry learning applications is the focus on the displayed material according to the user's level and displaying descriptions in addition to 3D visualization that students can access through their respective Android devices. So, through the KIMI.AR application, learning chemistry becomes easier and more interesting.
Unlocking Wellness: Pionering IoT Wearable Sensor with The Smart Ring for Body Fatigue Monitoring Hadi Putri, Dewi Indriati; Irawan, Elysa Nensy; Venica, Liptia; Pratama, Hafiyyan Putra
ULTIMA Computing Vol 17 No 2 (2025): Ultima Computing: Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v17i2.4172

Abstract

In this study, we present the development and implementation of a low-cost IoT wearable device, the Smart Ring, designed to monitor body fatigue levels. Fatigue, often resulting from energy-draining physical activities, can lead to serious health conditions such as heart attacks, strokes, and asthma. Current devices like smartwatches offer limited functionality in preventing fatigue by merely providing vital sign information. Our Smart Ring aims to bridge this gap by integrating advanced sensors (MAX30100 for heart rate, SpO2, and body temperature) and utilizing fuzzy logic for real-time fatigue level classification. The Smart Ring is paired with an Android application that not only tracks the user's physiological data but also issues alerts and notifications when fatigue thresholds are reached, ensuring timely intervention. The device is designed to be economical and accessible, promoting widespread adoption for better health monitoring in the Society 5.0 era. Preliminary testing with users has demonstrated the effectiveness of the Smart Ring in accurately detecting and categorizing fatigue levels during various activities, supporting its potential as a valuable tool in personal health management. Index Terms— Low-cost, IoT, wearable sensor, body fatigue, the smart ring
IoT with Firebase: Smart Ring Android App Using MAX30100 for Fatigue Detection Liptia Venica; Elysa Nensy Irawan; Dewi Indriati Hadi Putri
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 1 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.1.81312

Abstract

IoT in healthcare enables real-time health monitoring & data evaluation of patient conditions. One of the benefits of IoT wearable devices is protecting a person from getting exhausted. Body fatigue is an indicator of the emergence of several problems such as sudden attacks of dangerous diseases, accidents, and so on. The large number of deaths from various diseases and accidents that are triggered by body fatigue makes monitoring the level of body fatigue important to minimize this. Through this research, we proposed the Smart Ring; a tool for monitoring and evaluating the level of body fatigue using a wearable sensor and based on the Internet of Things (IoT). In this article, we focus on developing the software component (Android application) and database management system of the Smart Ring IoT system. Age, heart rate, SpO2, and body temperature are used as indicators to determine user’s body condition categories. These data are collected through sensors on hardware part of Smart Ring System. The proposed database management system is able to store collected data inside NoSQL database in the form of documents. Smart Ring Android-based application is capable to monitor three user’s body condition and evaluate them to predict the user’s condition with classification accuracy of 100% within the defined categorization rules. It offers real-time user monitoring for exhaustion signs and triggering timely alerts with sub-2-second data processing under ideal conditions. The proposed Smart Ring system is expected to become an easy to develop, economical and portable medical device which help improve the welfare of society 5.0 in the health sector.
Co-Authors Ahmad Syahdi Al Khawarizmi Aldo Mahendra Putra Aldo Mahendra Putra Athorn Vora-Ud Dendy Satrio Diky Zakaria Dwa Desa Warnana Elyas Nur Fridayana Fahrur Aslami Fujita, Goro Galura Muhammad Suranegara Goro Fujita Hadi Putri, Dewi Indriati Hafiziani Eka Putri, Hafiziani Eka Kai Shibuya Kautsar, Makna A’raaf Kunchit Singsoog Liptia Venica Mochamad Sahal Muhammad Husni Muttaqin Muhammad Matthew Janotama Mulya, Tri Seda Muntaha, Mohammad Muthmainnah, Melania Suweni Muntini Nguyen Hong Minh Giang Nuur Wachid Abdul Majid Pratama, Hafiyyan Putra Putri, Aisyah Aira Rizky Hamdani Sakti Sakti, Rizky Hamdani Salman, Fauzie Shibuya, Kai Somporn Thaowankaew Suyatno Tosawat Seetawan Tosawat Seetawan4 Wanatchaporn Namhongsa Yamashita, Ken-Ichiro Yoyok Setyo Hadiwidodo