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All Journal Mechatronics, Electrical Power, and Vehicular Technology Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini Faktor Exacta Jurnal Otomasi Kontrol dan Instrumentasi Jurnal ULTIMA Computing TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal Sistem Cerdas DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) KURVATEK BERNAS: Jurnal Pengabdian Kepada Masyarakat REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Community Empowerment Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Elektronika dan Telekomunikasi
Hadi Putri, Dewi Indriati
Universitas Pendidikan Indonesia
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IoT-Based Smart Plug with Real-Time Energy Measurement Optimization and Adaptive Current Cutoff Muntaha Hasanah; Dewi Indriati Hadi Putri; Hafiyyan Putra Pratama
Jurnal Elektronika dan Telekomunikasi Vol. 25 No. 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.673

Abstract

The use of electrical energy as a primary power source is increasing, with the residential sector being one of the largest consumers. Electrical energy expenditure often occurs accidentally, potentially leading to energy waste. This research develops an IoT-based electricity usage monitoring system to minimize electrical energy waste and help users improve efficiency and protection against voltage spikes using the R&D approach with a waterfall model.There are 3 layers of IoT architecture using the PZEM-004T sensor as a measuring device for electrical parameters and ESP8266 as a communication module where the results of the sensor readings will be displayed in real-time on the LCD and Blynk with a time difference of 1.6 seconds, in addition to the cost indicator, and the current flowing conditions are also displayed. Sensor readings are valid with values < ± 0.5% for current and voltage and < ± 1% for power readings. System monitoring tests were carried out on 10 electronic devices, and the results of the estimated electricity costs from the use of electrical energy of these electronic devices were obtained. The system is also equipped with a protection feature displayed with a warning indicator, where if the current exceeds 3.1A, the power will automatically be cut off within 15 seconds. This system provides a solution to the efficiency of electrical energy expenditure and provides more protection.
An Intelligent IoT-Based Water Quality Monitoring and STORET Index Prediction System Using Random Forest Yohanes Nugroho; Dewi Indriati Hadi Putri; Mahmudah Salwa Gianti
Jurnal Sistem Cerdas Vol. 9 No. 1 (2026)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v9i1.603

Abstract

Hygiene sanitation water quality fluctuates due to environmental dynamics, yet conventional monitoring systems generally lack the predictive capabilities compliance with health standards (Permenkes No. 2 of 2023). This study aims to develop an intelligent Water Quality Monitoring System (WQMS) capable of predicting water quality status based on the STORET index using the Random Forest algorithm. [Methods] The proposed system integrates an ESP32-S3 microcontroller with calibrated low-cost sensors for real-time data acquisition. To ensure data integrity, regression was applied for sensor calibration, while the STORET method was utilized to determine pollution levels and water feasibility. A Random Forest regression model was then trained using these processed datasets to classify water quality status. Experimental results demonstrated high hardware precision, achieving Mean Absolute Percentage Error (MAPE) values of 5.38% for pH, 2.24% for TDS, and 0.22% for the Flow Meter. Furthermore, the Random Forest model exhibited superior predictive performance, yielding a Coefficient of Determination () of 0.9977, a Mean Absolute Error (MAE) of 0.2213, and a Root Mean Squared Error (RMSE) of 0.5144. These findings indicate that the integrated system effectively combines accurate sensing with robust predictive modeling. Consequently, the system is categorized as highly capable of providing real-time insights and early warnings, offering a significant improvement over traditional monitoring methods for public health safety.
IoT with Firebase: Smart Ring Android App Using MAX30100 for Fatigue Detection Venica, Liptia; Irawan, Elysa Nensy; Putri, Dewi Indriati Hadi
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.
Adaptive System for Streetlights in the Shopping Center Area of Purwakarta Region using Fuzzy Logic Method Hadi Putri, Dewi Indriati; Pratama, Hafiyyan Putra; Venica, Liptia; Merdeka, Vormes Gema; Kautsar, Makna A'raaf
Journal of Electrical, Electronic, Information, and Communication Technology Vol 5, No 2 (2023): 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.5.2.79675

Abstract

Streetlight systems generally use time condition as the parameter, which set the lights to be always on during specified period. This way, the system has flaws in its inefficiency and ineffectiveness. The system designed in this research considers the intensity of surrounding lights and passing pedestrians as the parameters, and fuzzy logic to get fuzzier output of the luminosity level for the streetlight. From the results of testing and analysis, it can be concluded that the design in this research has been successfully built as the results obtained are in accordance with the previously set fuzzy logic universe of discourse. By implementing an adaptive street lighting system in this study can help streamline light energy, because the street lighting lights can adjust themselves depending on the presence or absence of pedestrians passing by using a PIR sensor and the level of light brightness in that place using an LDR sensor.
Co-Authors Adhi, Himmawan Sapta Afifudin, Shodiq Agung Satria Pamungkas Ahmad Fauzi Alimudinsyah Alrasyid Andranetta Gracelynne Eka Pramudita, Eufrasia Baha’udin, Muhammad Dany Syauqi Nazhif Diana Eka Putri Diky Zakaria Dulhadi, Dulhadi Elviani, Ulva Elysa Nensy Irawan Endah Setyowati Endah Setyowati Estiko Rijanto Fauzi Ahmad Muda Fauzie Salman Galura Muhammad Suranegara Haffiyan Putra Pratama Hafiziani Eka Putri, Hafiziani Eka Hasanah, Muntaha Ichwan Nul Ichsan Kautsar, Makna A'raaf Kautsar, Makna A’raaf Kholidatuzzahra, Zamzam Kosmaga, Shinta Rohmatika Kurniawan, Muhammad Randy Liptia Venica Mahmudah Salwa Gianti Makna A’raaf Kautsar Maranatha, Jojor Renta Maulana, Farhan Merdeka, Vormes Gema Mohammad Arsyad Muhammad Bilal Hamzah Muhammad Rizalul Wahid Muntaha Hasanah Nina Herlina Nugraha, Ariel Dwika Nuur Wachid Abdul Majid Pramudita, Eufrasia Andranetta Gracelynne Eka Pratama, Hafiyyan Putra Putra Pratama, Hafiyyan Rabbani, Raihan Fakhri Rezka Bunaiya Prayudha Rojabi, Alpiyan Arif Sakti, Rizky Hamdani Salmadiina, Ashrida Sari, Nadia Tiara Antik Sodikin, Reisa Aulia Subagja, Banda Sudjani Sudjani Sutia, Diar Dwi Suyanta Suyanta Syifaul Fuada Taufik Ridwan Taufik Ridwan, Taufik Yohanes Adi Nugroho Yohanes Nugroho Zahra, Hana Fatimah Zahron, Aulia Aufa