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PERANCANGAN SISTEM AKUISISI DATA PEMAKAIAN LISTRIK 1 PHASA DAYA 1300 VA PADA RUMAH TINGGAL MENGGUNAKAN DATA LOGGER

2026-01-14T05:40:21+00:00

Electrical energy is one of the basic needs for humans today, almost every activity we do is inseparable from the use of electrical energy, the use of electrical energy must be paid according to the amount and duration of electricity use in electricity management authorized by state-owned companies, namely PT. PLN Persero using kWh meter. In the postpaid type kWh Meter (Kilo Watt Hours), we cannot know the amount of electrical power that has been used in real-time.This research aims to design a system that can acquire power consumption in kWh andpower consumption costs (Watts) real-time by utilizing the ACS712 current sensor and voltage sensor circuit as input current and voltageand then processed by Arduino Uno for processing. The data is in an application interface, then the usage data is stored automatically in the data base local by the MySQL application.The results of this study are by comparing the calculation of power consumption (Watt) and the nominal cost of electricity in anapplication interface. After the data is obtained, it can be concluded that the readings from input the current and voltage sensor in this system are not accurate and unstable, so that the comparison of the value by the kWh meter is 4.8 kWh with a nominal cost of Rp. 7,745.76, while in this system design the power value obtained is 9.08 kWh with a nominal usage fee of Rp. 14,652.39. Then the difference in value between the calculation of kWh and the design of this system is 4.28 kWh, with a nominal difference in the cost of using it of Rp. 6,906.63.

ANALISIS STARTING MOTOR INDUKSI PADA BALL MILL PLANT DENGAN LIQUID RESISTANCE STARTER DI PT CITRA PALU MINERALS

2026-01-14T06:11:42+00:00

The 3700 kW induction motor at the Ball Mill Plant at PT Citra Palu Minerals requires an effective starting method to prevent current surges and voltage drops during initial operation. This study aims to analyze the starting performance of induction motors using three starting methods, namely Liquid Resistance Starter (LRS), Direct On Line (DOL), and Wye-Delta. The analysis is carried out by mathematical calculations through the induction motor equivalent circuit to obtain the starting current, starting torque, starting power and starting voltage values of each starting method. The calculation results show that the LRS method produces a starting current of 421.47 A, a starting torque of 42,259.84 Nm, a starting power of 4,423.19 kW and a starting voltage of 6,374.40 V. Compared to DOL and Wye Delta, the LRS method provides better performance in terms of limiting current and maintaining voltage stability, and is able to produce higher torque and power. The calculation of the LRS method also shows conformity with the actual data in the field, so that the model used can be used as a technical reference. Based on the analysis results, the LRS method is considered the most suitable for starting high power induction motors in heavy-load applications such as Ball Mill Plant.

SISTEM PINTAR KONTROL AIR CONDITIONER (AC) BERBASIS FUZZY LOGIC DAN PENGARUHNYA PADA KONSUMSI ENERGI LISTRIK

2026-01-14T07:43:35+00:00

The manual use of Air Conditioners (AC) often leads to excessive electricity consumption, as temperature settings are not adjusted to actual environmental conditions. This study aims to design and implement an AC control system based on Mamdani fuzzy logic to automatically regulate room temperature according to thermal comfort standards, as well as to analyze its effect on electricity consumption. The system was developed using four DHT11 sensors connected to an ESP32 microcontroller as the main controller, while energy consumption was monitored using a PZEM-004T sensor and transmitted to the ThingSpeak platform. Experimental results show that the fuzzy logic-based control system was able to adaptively adjust the AC temperature with high accuracy. The application of the system resulted in an energy consumption of 5.01 kWh over three days, compared to 8.87 kWh under manual control. Thus, the system achieved energy savings of 3.86 kWh or 43.82%. These findings demonstrate that applying fuzzy logic to AC control is effective in improving energy efficiency and supporting electricity cost reduction.

PEMBANGKIT LISTRIK PORTABEL BERBASIS PIEZOELEKTRIK UNTUK PENGISIAN ENERGI PADA HANDPHONE

2026-01-14T08:02:17+00:00

Electrical energy is a primary need in modern life that continues to increase along with the rapid development of technology and the use of portable electronic devices. Dependence on conventional power plants sourced from fossil fuels is considered unable to meet energy needs when outside the conventional electricity grid. Therefore, a more flexible and easy-to-produce renewable energy alternative is needed. One solution that can be offered is the use of piezoelectrics, which are capable of producing electrical energy only through mechanical pressure without relying on weather conditions such as solar power plants or wind power plants. This study aims to design and test a portable power generator based on piezoelectrics. The piezoelectric circuit is designed with a series-parallel configuration of 30 piezoelectric pieces, which are connected to rectifier diodes, elcos, storage batteries, and step- down modules for voltage adjustment to electronic devices. The test results show that the device can produce an output voltage of up to 32.47 VAC. Then, the highest DC voltage is 87.3 VDC. The voltage stored in Elco is 24.92 VDC, with the final output on the battery being 13.69 VDC and a current of 1 A within 2 minutes. Meanwhile, the time required to charge 1% on a mobile phone is 9 minutes, indicating the potential effectiveness of the device with further pressure increases.

PREDICTION OF LAGUNA LAKE WATER QUALITY IN TERNATE USING ARTIFICIAL NEURAL NETWORK

2025-11-30T19:07:32+00:00

Predicting the water quality of Laguna Lake in Ternate City is crucial to support ecosystem management and the needs of surrounding communities. This study aims to predict the parameters pH, temperature, nitrate, and phosphate for the year 2026 using four methods: Multiple Linear Regression (MLR), Random Forest Regression (RF), Support Vector Regression (SVR), and Artificial Neural Network (ANN). The data used consisted of measurements from 2017, 2023, and 2024. The prediction results show differences in performance among the methods. For pH, the 2026 predictions range from 6.54 to 8.15, with RF providing the highest value and ANN the lowest. Temperature predictions range from 31.03 to 31.86 °C, nitrate from 0.0888 to 0.1140 mg/L, and phosphate from 0.0433 to 0.0752 mg/L. ANN demonstrates the best accuracy for pH, while RF performs better for temperature. These differences indicate the presence of non-linear relationships among water quality parameters that are more complex than simple linear models. The 2026 water quality predictions offer an early assessment of Laguna Lake’s condition, providing a basis for informed management planning, conservation, and water quality decision-making. The results also highlight the effectiveness of artificial intelligence methods, particularly ANN, in modeling and predicting water quality conditions in tropical aquatic ecosystems.

KAJI EKSPERIMENTAL KINERJA TURBIN ULIR ARCHIMEDES BERDASARKAN SUDUT KEMIRINGAN POROS TURBIN

2026-01-14T08:21:41+00:00

This study aims to evaluate the effect of variations in the shaft inclination angle, namely 22°, 24°, 26°, 28°, and 30° on the performance of the Archimedes screw turbine with the experimental method carried out using a half-scale turbine model with a constant discharge of 0.0014 m³/s and an increase in torque (1-4 Nm). The parameters analyzed include rotational speed (RPM), output power, and efficiency at each torque level (1–4 Nm). The results show that the maximum efficiency of 61.81% is achieved at an angle of 22° with a torque of 3 Nm. Although the 30° angle produces higher output power, its efficiency is lower due to the larger head value (0.58 m compared to 0.435 m at 22°), which increases input power but is not offset by a comparable increase in output. In addition, at steeper angles, there is an increase in leakage and overflow due to less-than-optimal screw filling. This study concludes that the combination of 22° angle and 3 Nm torque is the most efficient configuration for a small-scale screw turbine system. This study can serve as a reference for designing a micro-hydro power generation system based on a screw turbine.

ANALISIS KETIDAKSEIMBANGAN BEBAN DAN RUGI DAYA AKIBAT ARUS NETRAL DI PENYULANG GI GORONTALO BARU

2026-01-14T08:34:45+00:00

The State Electricity Company (PT.PLN Persero) is a company authorized by the government to handle electricity in Indonesia. Distribution lines are an important component in the distribution of electrical power, therefore power losses in distribution lines must be small so that the received electrical power must be close to the transmitted electrical power. This study discusses electrical power losses and load imbalances in the 20 KV medium voltage primary distribution line at the Gorontalo Baru Substation (GOBAR) feeder. The method used in this study is through data collection of load current measurements for each phase, neutral current (N), and neutral conductor resistance (RN) from seven feeders with a total of 297 distribution transformers. The data is processed using the load imbalance equation and active power loss calculations. The analysis is carried out by comparing the imbalance value to the PLN standard (SK ED PLN No. 0017.E/DIR/2014). The results of the study show that the number of transformers in the GOBAR GI feeder that have an imbalance value exceeding the standard limit or in the bad category is 71 transformers and the amount of power losses experienced by the GOBAR GI is 1423.01 kW outside peak load times and for peak load times of 3051.115 kW. Judging from these losses, so that inter-phase load balancing is an important step in increasing the efficiency and reliability of the electric power distribution system.