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Prototype Phase Failure Detection Berbasis Internet Of Things (IoT) Arif Dwi Wahyudi; Charis Fathul Hadi; Ratna Mustika Yasi
Journal of Educational Engineering and Environment Vol. 4 No. 2 (2025): Journal of Educational Engineering and Environment
Publisher : Fakultas Teknik Universitas PGRI Banyuwangi

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Abstract

The three-phase system is applied to the electricity network supplied by PLN, starting from the generator to the low voltage network (JTR) in front of people's homes. The PLN network uses three-phase lines (R, S, T) and neutral (N), or often called ground. According to the term three-phase power, it consists of three live cables and one neutral cable. Usually three-phase power supplies have a voltage of 380 volts and are widely used in industry and factories. Previous research to detect Phase failure still used conventional methods so it was difficult to control. This once happened at a hospital where the researcher worked, which experienced damage to a 3 Phase electric motor and a 3 Phase submersible water pump due to the failure of one of the Phases of the electrical network without being recognized and controlled by the Phase failure system. Currently, much of the technology used in equipment is operated manually, so the efficiency in terms of time, energy and accuracy is not optimal. This research carried out the design and development of a prototype Phase Failure Detection system which, when applied, can function as a safety measure, can monitor or monitor in real time, and can also remotely control the function of a 3 Phase electrical network using an Android system based on the Internet of Things. . The Phase Failure Detection working system is that if there is a phase imbalance (R, S, T) that exceeds the value set by the software, it will provide information via LCD, LED indicator and buzzer (alarm). NodeMCU ESP8266 in real-time. The voltage measurement value on the LCD (Contactor input voltage) is close to the voltage value measured using the AVOmeter. From the results of the research, 8 measurements were carried out in each phase, including a voltage of 220V - 196V in each phase R, S, T, and showed a maximum voltage error value for each phase of 0.50%, namely at a phase voltage of 199 volts. The voltage value shown by the AVOmeter is relatively the same as the voltage value shown by the LCD, so it can be concluded that the research results in the form of a prototype of this tool have a high level of accuracy because the percentage value of the allowable deviation coefficient between phases (10% of the nominal voltage of 220 volts) not exceeded [1], and when there is a deviationin the voltage value between Phases that exceeds 10%, the device automatically cuts off the flow of each Phase
Sistem Pengeringan Buah Kopi Robusta Gombengsari Dengan Metode Hot Air Drying Berbasis IoT Aryo Pamungkas; Charis Fathul Hadi; Widhi Winata Sakti
Journal of Educational Engineering and Environment Vol. 5 No. 1 (2026): Journal of Educational Engineering and Environment
Publisher : Fakultas Teknik Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/jeee.v5i1.8733

Abstract

This study discusses a hot air drying system for Robusta coffee cherries from Gombengsari, addressing issues that disrupt traditional sun-drying processes, such as unpredictable rainfall, vulnerability to pests, and overnight storage that causes reabsorption of moisture in the dried coffee.An experimental method was employed to determine the optimal drying temperature for coffee cherries that preserves their characteristics and flavor profile. Comparative results from the hot air drying system for Robusta coffee cherries showed moisture content reductions of 25.2%, 30.27%, 37.37%, 25.10%, 30%, and 37%. The application of hot air drying influenced the final weight, moisture content levels, and average error rate of 1%. Drying was conducted over 5 hours with initial coffee weights of 300g and 500g, at temperatures starting from 45°C. For 300g batches: 45°C yielded 25.2% moisture content, 55°C yielded 30.27%, and 65°C yielded 37.37%. For 500g batches: 45°C yielded 25.10% moisture content, 55°C yielded 30%, and 65°C yielded 37%. The optimal drying condition was achieved with a 300g batch at 65°C, resulting in 37.37% moisture content reduction and a final weight of 187.9 grams.