Implementasi Sistem Pengendalian Intensitas Dan Zona Lampu Otomatis Menggunakan Logika Fuzzy Dengan Sensor Ldr Untuk Efisiensi Energi

Irianto, Magriby Leo Renggo (2026) Implementasi Sistem Pengendalian Intensitas Dan Zona Lampu Otomatis Menggunakan Logika Fuzzy Dengan Sensor Ldr Untuk Efisiensi Energi. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pencahayaan ruang kelas sangat krusial untuk menunjang aktivitas belajar sesuai standar SNI 6197:2011 (minimal 350 Lux). Namun, tata letak jendela di ruang kelas BB-102 Departemen Teknik Elektro Otomasi ITS menyebabkan distribusi cahaya alami tidak merata, sementara sistem konvensional maupun threshold sederhana memicu efek hunting dan penerangan mati mendadak. Penelitian ini merancang sistem pengendalian intensitas dan zona lampu otomatis berbasis Fuzzy Logic Controller metode Mamdani berbasis zero-crossing detection pada skala simulasi ruang BB-102. Sistem FLC beradaptasi secara halus terhadap dinamika cahaya alami dan posisi titik alat tanpa mengalami efek hunting. Pengujian performa menunjukkan bahwa FLC mampu mempertahankan tingkat pencahayaan mendekati target standar (350 Lux), di mana keluaran dimmer bernilai 0% saat kondisi terang (646,8 Lux), meningkat secara otomatis pada rentang 2%–66% saat kondisi mendekati standar (252,4–490,2 Lux), serta mencapai 92% saat kondisi redup (138,2–138,4 Lux). Evaluasi performa pengendali FLC menghasilkan nilai Mean Absolute Error (MAE) sebesar 6,44 Lux, Root Mean Squared Error (RMSE) sebesar 6,84 Lux, dan Mean Absolute Percentage Error (MAPE) sebesar 1,84%, yang mengindikasikan tingkat akurasi dan kestabilan sistem kendali yang sangat baik dalam mempertahankan kenyamanan di dalam ruangan. Pengujian FLC dengan masukan 226,7 Lux menghasilkan keluaran crisp 58,2%, sedangkan sensor PIR mendeteksi keberadaan pengguna pada jarak 40–300 cm untuk mencegah penerangan padam saat aktivitas malam. Implementasi ini membuktikan keandalan sistem kontrol adaptif dalam menyelaraskan cahaya alami dan buatan guna mempertahankan produktivitas dan kenyamanan di ruang kelas.
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Classroom lighting is crucial to support learning activities in accordance with the SNI 6197:2011 standard (minimum 350 Lux). However, the window layout in room BB-102 of the Department of Electrical Automation Engineering ITS results in uneven natural light distribution, while conventional on/off systems or simple thresholds trigger hunting effects and sudden light shut-offs. This study designs an automatic light intensity and zone control system based on a Mamdani Fuzzy Logic Controller (FLC) utilizing zero-crossing detection within a simulated environment of room BB-102. The FLC system adapts smoothly to natural light dynamics and sensor position without hunting effects. Performance testing demonstrates that the FLC maintains light levels close to the standard target (350 Lux), where the dimmer output remains at 0% under bright conditions (646.8 Lux), automatically increases within 2%–66% under near-standard conditions (252.4–490.2 Lux), and reaches 92% under dim conditions (138.2–138.4 Lux). Performance evaluation of the FLC controller yields a Mean Absolute Error (MAE) of 6.44 Lux, a Root Mean Squared Error (RMSE) of 6.84 Lux, and a Mean Absolute Percentage Error (MAPE) of 1.84%, indicating excellent control accuracy and stability in maintaining indoor visual comfort. The FLC test with an input of 226.7 Lux generates a crisp output of 58.2%, while the PIR sensor detects human presence at distances ranging from 40 to 300 cm to prevent lighting shut-offs during night activities. This implementation proves the reliability of the adaptive control system in harmonizing natural and artificial light to sustain productivity and visual comfort in the classroom.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Kontrol Adaptif, Logika Fuzzy Mamdani, Peredupan Halus (Smooth Dimming), Sensor PIR, Standar SNI 6197:2011.Adaptive Control, Mamdani Fuzzy Logic, Smooth Dimming, PIR Sensor, SNI 6197:2011 Standard.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control
Divisions:	Faculty of Vocational > 36304-Automation Electronic Engineering
Depositing User:	Magriby Leo Renggo Irianto
Date Deposited:	13 Aug 2026 01:09
Last Modified:	13 Aug 2026 01:09
URI:	http://repository.its.ac.id/id/eprint/144335

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