Penyetelan Sistem Kontrol PID Berbasis IoT Dengan Metode Algoritma Ant Colony

Authors

  • Muhammad Bariq Athallah Hardianto Universitas Pembangunan Nasional "Veteran" Jawa Timur

Keywords:

PID, Ant Colony Optimization, IoT, MQTT, Kontrol Suhu

Abstract

Abstrak— Sistem kontrol PID banyak digunakan dalam aplikasi industri karena mampu memberikan pengendalian dengan respon cepat dan stabilitas yang baik. Namun, performa kontroler PID sangat dipengaruhi oleh ketepatan dalam penyetelan parameter sehingga diperlukan metode optimasi yang efektif. Pada penelitian ini, diusulkan penyetelan parameter PID menggunakan algoritma Ant Colony Optimization (ACO) yang diterapkan pada perangkat iTCLab sebagai objek pengendalian suhu. Selain itu, sistem kontrol dirancang berbasis Internet of Things (IoT) sehingga proses monitoring dan pengaturan set point dapat dilakukan secara real-time dan jarak jauh melalui aplikasi IoT MQTT Panel. Dalam proses optimasi, algoritma ACO mencari kombinasi parameter PID terbaik berdasarkan nilai kriteria performansi ITAE. Hasil pengujian menunjukkan bahwa sistem kontrol mampu menjaga suhu pada set point 40°C dengan rise time sekitar 250 detik, overshoot kecil ±2–3°C, serta settling time 380–420 detik. Sistem juga berhasil menampilkan data suhu serta mengimplementasikan perubahan set point melalui komunikasi MQTT menggunakan broker EMQX dengan tingkat respons yang baik. Berdasarkan hasil tersebut, metode ACO terbukti mampu meningkatkan kinerja kontrol PID pada sistem termal dan integrasi IoT memungkinkan fleksibilitas kontrol secara remote.

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Published

2025-12-25

How to Cite

Hardianto, M. B. A. (2025). Penyetelan Sistem Kontrol PID Berbasis IoT Dengan Metode Algoritma Ant Colony. Prosiding Seminar Nasional Informatika Bela Negara (SANTIKA), 5(2), 257–263. Retrieved from https://santika.upnjatim.ac.id/submissions/index.php/santika/article/view/854

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