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This study aims to design and develop an Augmented Reality (AR)-based application for real-time data monitoring of an automatic weather station at PT. XYZ. The system was developed using a prototyping method, involving five key stages: sensor data acquisition via CBOX devices and the Modbus RTU protocol, data transmission through a Flask-based Web API, storage in a MySQL database, QR code-based target image creation using the Vuforia Engine, and a 3D visualization interface developed with Unity integrated with the Vuforia SDK on Android devices. The system successfully received and stored weather data—such as temperature, humidity, and wind speed—into the MySQL database. The AR application also displayed a stable 3D interface panel over QR code markers, providing real-time data updates through an HTTP-based mechanism. This research demonstrates the successful integration of SCADA, Flask, MySQL, and Unity, enhancing both the functionality and commercial appeal of PT. XYZ’s weather station products. Future research should focus on field testing, cloud network integration, and device compatibility.

Water is an essential need for all living things on Earth to support various vital biological processes. Without water, life cannot exist because of its role as a solvent, nutrient transport medium, and temperature regulator. Water in nature does come from various sources such as rivers, lakes, rain, and groundwater, which are not all clear because they are contaminated with particles or other substances, in contrast to mountain springs which are often purer. In this study, a water filtration system was created aimed at making turbid water purify to be suitable for use by assessing the NTU (Nephelometric Turbidity Unit) of turbid water due to suspended particles such as mud or sediment, thus producing clear water suitable for use for household or irrigation purposes. The use of two Siemens S7-1200 PLCs as controllers in the water filtration system is a reliable redundant approach to automate mechanisms such as pump, valve, and NTU sensor settings. PLC 1 is used for the filtration system and PLC 2 is used for the water distribution system. The water distribution process uses a DC pump that runs when it receives input from the water level sensor in the raw water tank and clean water tank. The water filtration process has three main stages: reading the water turbidity level using a turbidity sensor, regulating the water flow rate using a solenoid valve, and filtering the water using filter media. The system's operation can be monitored and controlled through a SCADA system. Both PLCs are connected using an OPC server for communication between the PLC and SCADA. The OPC server sends data from the PLC to the Wonderware InTouch application as the SCADA system. To monitor and control the SCADA system, users must log in to access the system.

The City of Singkawang faces significant challenges in drinking water management, characterized by limited production capacity, high non-revenue water (NRW), and the absence of digital infrastructure such as AMR, LoRaWAN, and DMA, necessitating a structured development framework to support the transition toward a smart water system. This study formulates an IoT-based smart water roadmap aligned with the regional development plan (RPJMD) and the operational capacity of the local water utility through a performance gap analysis with benchmark cities (Surabaya and Balikpapan), capacity assessment using six objective parameters, and the use of secondary data from official reports and technical documents. The resulting roadmap comprises three sequential phases covering basic infrastructure reinforcement, network digitalization through IoT sensors and telemetry, and the implementation of DMA and SCADA to enable real-time monitoring and control. This approach provides a realistic and adaptive implementation framework for medium-sized cities with limited resources, strengthening NRW reduction efforts, improving service reliability, and supporting the integration of digital technologies in sustainable water utility management.

Accurate wind turbine power curve modeling plays a crucial role in performance evaluation, energy yield estimation, and data-driven control strategies. However, actual power curves often exhibit non-linear behavior influenced by atmospheric variability, measurement noise, and SCADA anomalies, making conventional modeling approaches less effective. This study proposes an optimized logistic power curve model whose parameters are tuned using Particle Swarm Optimization (PSO) to improve predictive accuracy. The analysis uses the Wind Turbine SCADA Dataset from Kaggle, which undergoes extensive preprocessing including physical rule filtering, outlier detection with the Interquartile Range (IQR) method, anomaly removal, and smoothing of the power signal. A three-parameter logistic model is selected due to its ability to capture the typical S-shaped relationship between wind speed and power output. PSO is applied to identify optimal model parameters by minimizing the Mean Squared Error (MSE), utilizing 40 particles over 200 iterations. The optimized model achieves strong predictive performance with RMSE of 404.09, MAE of 179.96, and R² of 0.904 on the test set, indicating that more than 90% of the variability in actual power can be explained by wind speed. Residual analysis reveals heteroscedastic patterns and slight overestimation in mid-range wind speeds, yet overall model consistency remains high. Comparative evaluation against Linear Regression, Random Forest, and logistic modeling using curve_fit shows that the Logistic–PSO approach provides the most accurate and stable predictions. These findings demonstrate that combining logistic modeling with PSO offers an effective and robust method for data-driven wind turbine power curve optimization.

Electrical energy is a vital element in daily life, supporting nearly all equipment used. One of the main components in the electrical distribution system is the 20 kV cubicle. This cubicle plays an essential role in controlling power flow, protecting the system from faults, measuring electrical parameters, and enabling remote monitoring and control. Additionally, the cubicle functions to maintain the stability, reliability, and efficiency of power flow to load centers. However, various technical issues, such as short-circuit faults, protection system failures, and corona phenomena caused by high humidity, often threaten its performance. This study aims to evaluate and optimize the design and operation of 20 kV cubicles in electrical distribution systems. The research focuses on analyzing technical factors that affect energy efficiency and system reliability, as well as identifying challenges in implementation, such as installation and maintenance issues. The research methods include literature reviews, interviews, and field observations. The results indicate that modular designs, high-quality insulating materials, and modern technologies such as Intelligent Electronic Devices (IEDs) and Supervisory Control and Data Acquisition (SCADA) enhance system efficiency and reliability. It is recommended that cubicle designs be adapted to the load capacity and routine maintenance be performed to maintain efficiency and extend equipment lifespan.

Closed house chicken coop is an innovation from the development of technology in the livestock sector. In closed house chicken coops, many arrangements and adjustments to environmental conditions in the chicken coop are carried out which are expected to increase broiler chicken production. In this study, researchers created a centralized control system on 2 closed house chicken coops to make it easier for broiler chicken entrepreneurs to monitor and control the closed house chicken coops owned by the entrepreneur through one place, without having to go directly to the closed house chicken coop to monitor and control the chicken coop which of course will be quite draining time and energy. This study uses Haiwell Cloud Scada as an interface device connected to the Arduino Nano microcontroller, DHT-22 sensor as a humidity and temperature detector sensor, MQ-135 sensor as an Ammonia gas detector, water level sensor as a reader of the remaining chicken drinking water level, IR sensor as a reader of the remaining chicken food level, DC fan which has 2 functions, namely inlet and exhaust in the chicken coop. Servo motor as a silo damper controller to fill chicken food from the silo to the chicken feeder located in the chicken coop.

Pengelolaan energi listrik yang tepat merupakan faktor penting dalam mengelola konsumsi energi listrik secara lebih efisien, konsep yang sangat penting di fasilitas-fasilitas seperti Gedung Teknik Elektro Universitas Merdeka Malang. Penelitian ini menggabungkan penggunaan energi listrik yang dipantau dengan bantuan sistem SCADA (Supervisory Control and Data Acquisition) melalui komunikasi Modbus-LoRa WAN. SCADA adalah sistem integratif dan waktu nyata untuk pemantauan dan pengendalian, Modbus cocok untuk kolaborasi yang andal, sementara LoRaWAN unggul dalam menyediakan sistem nirkabel jarak jauh. Sistem ini terdiri dari sensor energi listrik, unit kontrol, dan peralatan komunikasi yang semuanya digunakan untuk memantau, memproses, dan menyampaikan informasi terkait penggunaan listrik. Makalah ini juga mengungkapkan hasil implementasi di Gedung Teknik Elektro UNMER, di mana sistem yang diidentifikasi dapat menyediakan informasi waktu nyata tentang konsumsi energi listrik. Implementasi ini sebaiknya digunakan sebagai referensi untuk mencapai cara yang lebih cerdas dan berkelanjutan dalam mengelola energi di gedung-gedung lainnya.

In Indonesia in particular, SCADA has been recognized and started to be implemented in electric power system control since the early 1980s. In other more developed countries, the application of SCADA is growing along with developments in computer and telecommunications technology. At a time when the development of SCADA was not as sophisticated as it is now, there was an idea to make it easier to maneuver, namely in a simple network system using SCADA we can supply additional power or do power outages easily so that the overload does not occur. After implementing the SCADA system there are less time and frequency savings compared to before implementing the SCADA system. This means that the SCADA reliability index is much better after implementing the SCADA system..    

Advances in automation technology in industries that run very fast have spurred every educational institution to be able to keep up. Every SMK is no exception, which is tasked with preparing and producing students to be able to compete in the world of work. One of the automation technologies is PLC and SCADA which are widely used in the industrial world, for this reason, it is necessary for Muhammadiyah Gresik University students, especially the Electrical Engineering study program, to share knowledge about one of the PLCs and SCADA by using Outseal as PLC and Haiwell as SCADA at SMKN Singosari, Malang in the form of community service activities. By providing training on the basics of PLC and SCADA using Outseal software as a PLC which is uploaded to Arduino and Haiwell as an HMI for SMK students in understanding the basics of PLC which is then followed by simulating cases that often occur in the industry. The results of the student response were very positive giving an assessment of more than 90% and wanting a similar training with a different theme.

The purpose of this article aims to analyze technological developments in the industrial sector. SCADA requires a communication protocol. To increase efficiency in the industrial world, the SCADA system has been widely used in various industrial fields, such as manufacturing, power generation, oil and gas, telecommunications and transportation. Control over the arrangement of an electric power distribution network can be effective and efficient and will be equipped with a SCADA system. Control of the electric power network based on the SCADA system is really necessary considering that the growth of electric power is very high and adds to the increasing complexity of the electric power network system. The SCADA system ((Supervisory Control And Data Acquisition) itself is a system created for data retrieval, storage, analysis and also for controlling a plant/system that has been used remotely.