Prayoga, Anang (2025) Sistem Pengendalian Dan Pemantauan Daya Listrik Berbasis Internet Of Things (Iot) Dengan Penerapan Logika Fuzzy Sugeno. Undergraduate thesis, Politeknik Negeri Jember.
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Abstract
Sistem Pengendalian Dan Pemantauan Daya Listrik Berbasis Internet Of Things (Iot) Dengan Penerapan Logika Fuzzy Sugeno (Control System and Internet Of Things (Iot)-based Electricity Power Monitoring System with the Application of Sugeno Fuzzy Logic) Syamsul Arifin, S.Kom, M.Cs Anang Prayoga Study Program of Informatics Engineering Majoring in Information Technology Program Studi Teknik Informatika Jurusan Teknologi Informasi ABSTRACT This research aims to design and implement an Internet of Things (IoT) based Internet of Things (IoT)-based electric power control and monitoring system. with the application of Sugeno method fuzzy logic. This system is developed to help household electricity users in monitoring electricity consumption in real-time, knowing problematic devices, and identifying the amount of electricity consumed. real-time, find out problematic devices, and identify the amount of (kWh) used in a certain period. The system uses Wemos D1 Mini microcontroller connected to the internet and PZEM-004T v3.0 sensor to read electrical parameters such as current, voltage, and voltage. v3.0 sensor to read electrical parameters such as current, voltage, power, and energy. The data obtained is sent to Firebase Realtime Database and displayed through a Nylo-based mobile application. through a Nylo based mobile application. Sugeno fuzzy system is used to analyze five main input variables, namely time of use, power, energy, cost, and number of devices, which are then classified into three electricity usage levels: low, medium, and high. This system is expected to to improve the efficiency of household electricity use as well as provide useful information for decision-making related to energy saving. Keywords: Sugeno fuzzy logic, electricity monitoring, IoT, Wemos D1 Mini, PZEM-004T, Firebase, Nylo, Flutter, household electrical energy.
Item Type: | Thesis (Undergraduate) | ||||||
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Uncontrolled Keywords: | logika fuzzy Sugeno, pemantauan listrik, IoT, Wemos D1 Mini, PZEM-004T, Firebase, Nylo, Flutter, energi listrik rumah tangga. | ||||||
Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 462 - Teknologi Informasi |
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Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
Depositing User: | Anang Prayoga | ||||||
Date Deposited: | 13 Jun 2025 07:56 | ||||||
Last Modified: | 13 Jun 2025 07:57 | ||||||
URI: | https://sipora.polije.ac.id/id/eprint/41837 |
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