JouLE (Journal of Electrical Engineering

Implementasi Neural Network untuk Monitoring Level CPO dan Pengendalian Pompa Berbasis Arduino dan Aplikasi Android pada Tangki Bulking dalam Rangka Transformasi Industri 4.0

Sat, 30 Aug 2025 00:00:00 +0800

The application of automatic technology based on artificial intelligence is one of the important elements in supporting
the transformation towards Industry 4.0, especially in the palm oil industry sector. This study aims to develop a Crude
Palm Oil (CPO) level monitoring system in a bulking tank using an ultrasonic sensor and automatically regulate the
pump speed based on the classification of the Neural Network (NN) results implemented on an Arduino microcontroller.
The designed system utilizes an HC-SR04 ultrasonic sensor to read the CPO surface height, then the data is processed
through an artificial neural network model with one hidden layer containing three neurons and six output classes to
determine the pump speed level. The results of this conversion become a PWM signal which is used to control the pump
motor through the motor driver. Testing was carried out 10 times with variations in liquid height, showing that the sensor
has a high level of accuracy with an average error of 0.13 cm. The NN model produces a classification accuracy of 100%
on the test data, and the motor speed control runs proportionally to the liquid level. This system has proven to be
responsive and capable of controlling fluids efficiently and in real-time. The results of the study indicate that this
approach is feasible to be applied for intelligent and adaptive automation of filling and emptying CPO tanks, in line with
the principles of Industry 4.0

Sistem Penyimpanan Energi Baterai (BESS) untuk Optimasi Beban Puncak: Solusi Cerdas Efisiensi Energi Industri

Sofyan Sofyan, Ng Rong Wee, Umar Muhammad, Herra Ramdani Hakim — Sat, 30 Aug 2025 00:00:00 +0800

Battery Energy Storage Systems (BESS) have emerged as an innovative solution to enhance energy efficiency in commercial and industrial sectors, particularly through the implementation of peak shaving methods. This technology enables energy storage during periods of low demand and its utilization during peak demand, thereby reducing the load on the power grid. This study explores the integration of BESS in managing electrical loads to lower peak energy consumption while improving operational efficiency and power system stability. By utilizing daily load profile data and BESS parameters, a system is developed to regulate charging and discharging processes to achieve optimal energy balance. Simulation results indicate that BESS implementation can reduce peak loads by up to 50%, distribute energy more evenly throughout the day, and enhance the reliability and efficiency of the power grid. This technology also offers environmental benefits by reducing dependence on fossil fuel-based power plants and supporting the transition toward a more sustainable energy system.

Desain dan Simulasi Kontrol Elektropneumatik Berdasarkan Displacement Step pada Alat Panen dan Tanam Wortel

Sat, 30 Aug 2025 00:00:00 +0800

The current manual process of planting and harvesting carrots in greenhouses is considered inefficient. Therefore, automation using electropneumatic technology presents a promising solution to enhance efficiency and agricultural yield. This research aims to design an electropneumatic installation for an automatic carrot planting and harvesting tool. The method used is design and simulation control based on a displacement diagram to determine the sequence of actuator motion. From this diagram, logical equations were formulated using Boolean algebra to form the basis of the control circuit. The entire circuit was then designed and tested through simulation using Fluidsim software. The design results show that the system requires 3 cylinders groups, three 5/2-way valves, 2 proximity sensors, and 2 gripper groups operating in six sequential stages. The simulation in Fluidsim successfully proved that the designed electropneumatic circuit can function according to the predetermined logic and working sequence. Thus, this design contributes a simulation-validated automated system design with the potential to be implemented to replace the manual harvesting and transplanting of carrots

Desain dan Simulasi Kontrol Elektropneumatik Pada Mesin Sealer Cup Semi Otomatis

Agnes Sholikhah, Ardit Mauladana, Ahmad Navis Hidayat, M Alfa Reza, Edy Setiawan — Sat, 30 Aug 2025 00:00:00 +0800

Pneumatics has advantages in terms of response speed, cleanliness, and ease of maintenance, making it suitable for application in small to medium-scale automation systems. This study aims to design and simulate a semi-automatic cup sealing machine based on a pneumatic system using a cascade control logic approach. The background of this research is based on the increasing demand from the beverage packaging industry for efficient and partially automated cup sealing systems to enhance productivity. The methods employed include system analysis, formulation of control logic in the form of Boolean equations, and grouping of actuator work sequences using the cascade method to ensure a systematic and structured workflow. The system consists of three pneumatic actuators (pistons A, B, and C), a position sensor, a timer, and a 5/2-way two-position five-port pneumatic valve suitable for a two-channel system. Simulation and performance validation of the system were conducted using FluidSim software. Simulation results show that all components operate according to the designed sequence, with synchronised and timely actuator movements without logic conflicts. The implementation of cascade logic proved effective in regulating the system's operational sequence in a stable and efficient manner. This study concludes that a cascade logic-based pneumatic control system has the potential to enhance the efficiency of semi-automated systems and can be further developed towards full automation in industrial applications.

Optimasi Penjadwalan Ekonomis Pembangkit pada Sistem IEEE 30 Bus dengan Algoritma Metaheuristik

Sokun Ieng, Sulistianingsih Nur Fitri, Fatmawati Azis — Sat, 30 Aug 2025 00:00:00 +0800

Power Plants Economic Dispatch Optimization on IEEE 30 Bus System using Metaheuristic Algorithms. Economical scheduling or also known as economic dispatch (ED) of power plants is an important approach in electric power system to reduce fuel costs while still considering the system technical constraints. ED problems are nonlinear and complex because they involve quadratic functions, generation limits and power losses in the system. In this study, metaheuristic algorithm are used, namely Particle Swarm Optimization (PSO) and Novel Bat Algorithm (NBA) which are applied to an IEEE 30-bus sytem with 6 generator units. The data used are generator cost function data, minimum and maximum generator limit data, load data for each bust and transmission line parameters. Both metaheuristic algorithms are simulated in MATLAB software, with the objective function of minimizing the total generation cost and considering power losses as an additional evaluation parameter. Based on the simulation results, NBA shows a total generation cost of $488.07/hour while PSO is $501.54/hor. By using the NBA method, the total fuel cost is cheaper than PSO. Power allocation using NBA is more economically efficient, although it results in slightly higher power losses of 4.76 MW compared to PSO 4.16 MW. However, this difference is still with acceptable limits. Therefore, this algorithm can be an effective alternative for optimizing generator scheduling in electric power system.