Mahasiswa Teknik Komputer UNNES Kembangkan Sistem AMF Genset Cerdas Berbasis Fuzzy Logic dan Governor PID Dukung Capaian SDG 9

Universitas Negeri Semarang > Faculty of Engineering > Fakultas Teknik-ina > Mahasiswa Teknik Komputer UNNES Kembangkan Sistem AMF Genset Cerdas Berbasis Fuzzy Logic dan Governor PID Dukung Capaian SDG 9

SEMARANG — Dua mahasiswa Program Studi Teknik Komputer, Fakultas Teknik Universitas Negeri Semarang (FT UNNES), Muhammad Haris dan Fasyah Kamal Pakuso Dewo, memperkenalkan inovasi sistem Automatic Mains Failure (AMF) berbasis Fuzzy Logic yang terintegrasi dengan kendali Governor PID untuk generator set (genset). Purwarupa otomatisasi kelistrikan tersebut dipamerkan dalam gelaran EXPO Capstone di Gedung E11 FT UNNES, Rabu (11/11/2026).

Inovasi ini dirancang untuk menjawab kebutuhan pasokan listrik cadangan yang andal sekaligus stabil ketika terjadi gangguan atau pemadaman pada jaringan listrik utama (PLN). Selama ini, pengoperasian genset konvensional kerap menghadapi dua kendala utama, yakni jeda waktu peralihan daya yang masih bergantung pada operator manual serta fluktuasi frekuensi listrik akibat perubahan beban secara mendadak yang berisiko merusak perangkat elektronik sensitif.

Melalui pendekatan rekayasa kendali cerdas, Muhammad Haris dan Fasyah mengintegrasikan dua metode kendali dalam satu arsitektur terpadu. Pada tahap deteksi dan peralihan daya, metode Fuzzy Logic diterapkan sebagai otak pengambilan keputusan sistem AMF. Algoritma ini membaca dan mengevaluasi kondisi tegangan serta kualitas pasokan listrik utama secara waktu nyata (real-time), sehingga mampu menentukan langkah eksekusi yang tepat dan responsif untuk menyalakan maupun memutus operasi genset secara otomatis saat terjadi anomali atau pemadaman listrik.

Sementara itu, untuk menjaga kualitas daya listrik yang dihasilkan genset, sistem dilengkapi dengan Governor berbasis Proportional-Integral-Derivative (PID). Komponen ini bertugas mengatur bukaan mekanisme throttle mesin genset melalui aktuator servo berdasarkan umpan balik pembacaan sensor putaran dan frekuensi. Dengan kendali tertutup tersebut, putaran mesin dapat dipertahankan secara presisi agar frekuensi keluaran generator tetap stabil mendekati nilai nominal 50 Hz, meskipun terjadi lonjakan maupun penurunan beban listrik secara tiba-tiba.

Sinergi antara otomatisasi peralihan daya berbasis Fuzzy Logic dan stabilisasi frekuensi berbasis Governor PID membuat proses kerja genset berlangsung secara terkoordinasi tanpa memerlukan intervensi manusia. Hal ini secara signifikan meningkatkan keandalan genset sebagai tulang punggung pasokan energi cadangan bagi fasilitas vital, laboratorium, maupun sektor usaha kecil dan menengah.

Dari aspek pengembangan dan efisiensi anggaran, rancangan sistem AMF terintegrasi ini berhasil dirampungkan pada 27 April 2026 setelah melalui tahapan perancangan rangkaian, pemrograman algoritma kendali, serta pengujian beban selama 148 hari. Keseluruhan pembuatan purwarupa tersebut menghabiskan biaya sebesar Rp1.340.000, membuktikan bahwa solusi otomatisasi kelistrikan presisi dapat dibangun secara mandiri dengan biaya yang jauh lebih ekonomis dibandingkan modul kontrol industri komersial di pasaran.

Kehadiran karya inovasi ini pada pameran EXPO Capstone FT UNNES turut memperkuat kontribusi perguruan tinggi dalam mendukung pencapaian SDG 9 (Industri, Inovasi, dan Infrastruktur). Melalui pengembangan sistem otomasi kelistrikan yang tangguh, terjangkau, dan berorientasi pada keandalan infrastruktur energi, mahasiswa Teknik Komputer FT UNNES menunjukkan peran aktif akademisi dalam mendorong kemandirian teknologi rekayasa serta memperkuat ketahanan infrastruktur kelistrikan nasional.

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