Anton Firmansyah’s scientific contributions

Pertumbuhan populasi dan peningkatan jumlah kendaraan di wilayah perkotaan telah menimbulkan tantangan serius dalam manajemen lalu lintas, terutama di persimpangan yang sering mengalami kemacetan. Sistem lampu lalu lintas konvensional yang tidak mampu merespons kondisi lalu lintas secara real-time menyebabkan pengaturan durasi lampu yang tidak efisien, memperburuk kemacetan, meningkatkan emisi karbon, serta menyebabkan pemborosan bahan bakar. Seiring dengan perkembangan teknologi, machine learning digunakan untuk mengoptimalkan pengaturan lalu lintas secara adaptif. Dalam penelitian ini, dikembangkan sistem lampu lalu lintas cerdas berbasis Programmable Logic Controller (PLC) yang dikombinasikan dengan Raspberry Pi 4B sebagai pusat pemrosesan data. Sistem ini juga terintegrasi dengan Smart Traffic Light, yang memungkinkan pengaturan durasi lampu berdasarkan analisis data lalu lintas secara real-time. Selain itu, penerapan Supervisory Control and Data Acquisition (SCADA) memungkinkan pemantauan dan pengendalian sistem secara efisien melalui antarmuka pengguna. Dengan memanfaatkan teknologi ini, sistem diharapkan dapat meningkatkan efisiensi lalu lintas dan mengurangi kemacetan dengan penyesuaian otomatis berbasis data. ABSTRACT The growth of population and the increasing number of vehicles in urban areas have posed significant challenges in traffic management, especially at intersections that frequently experience congestion. Conventional traffic light systems that cannot respond to real-time traffic conditions result in inefficient timing adjustments, exacerbating congestion, increasing carbon emissions, and causing fuel wastage. With technological advancements, machine learning is utilized to optimize traffic control adaptively. This study develops an intelligent traffic light system based on a Programmable Logic Controller (PLC), integrated with a Raspberry Pi 4B as the data processing center. The system is also incorporated with Smart Traffic Light technology, enabling adaptive light duration adjustments based on real-time traffic data analysis. Additionally, the implementation of Supervisory Control and Data Acquisition (SCADA) allows efficient system monitoring and control through a user interface. By leveraging these technologies, the system is expected to enhance traffic efficiency and reduce congestion through automated data-driven adjustments.

The Kenten substation is part of the unitary distribution of electricity transmission where there are equipment such as switchgear, transformers, protection equipment, and control equipment. The Kenten substation functions as a receiver for supply from high voltage to the distribution medium voltage system to be distributed to consumers. An electric power system can experience disturbances from inside or outside the substation, including damage to the generator, broken conductors, short circuit disturbances due to lightning strikes. Therefore, the electric power system has safety equipment to secure the equipment from interference and avoid damage. With the protection system does not hinder the distribution of electric power to the load. Based on the data received, there have been several disturbances to the feeder, including in March 2021 there has been a short-circuit fault in the volvo feeder in the electrical system of PT. PLN (Persero) substation Kenten UPT Palembang Short-circuit faults of these phases can result in a transformer that results in blackouts throughout the feeder connected to the transformer. Disturbances that occur in the electrical system of the Kenten Substation, especially in this feeder, make the OCR protection system on the feeder work to protect the equipment at the substation from damage.