| dc.contributor.advisor | Marcelita, Faldiena | |
| dc.contributor.author | Sinaga, Antonio Banggas Gregory | |
| dc.date.accessioned | 2025-07-04T07:08:45Z | |
| dc.date.available | 2025-07-04T07:08:45Z | |
| dc.date.issued | 2025 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/163921 | |
| dc.description.abstract | Sistem penerangan otomatis pada lorong bertujuan untuk meningkatkan efisiensi energi dengan memanfaatkan teknologi Internet of Things (IoT). Proyek ini mengembangkan sistem penerangan berbasis sensor Passive Infrared (PIR) dan Light Dependent Resistor (LDR), di mana sensor PIR mendeteksi keberadaan manusia dan sensor LDR mengukur intensitas cahaya lingkungan. Sistem ini dirancang agar lampu menyala secara otomatis saat kondisi cahaya rendah dan terdapat pergerakan, serta mati saat tidak ada aktivitas. Data dari sensor dikirimkan ke platform ThingSpeak untuk pemantauan jarak jauh. Metode analisis Return on Investment (ROI) digunakan untuk mengevaluasi kelayakan sistem dari sisi biaya dan manfaat. Hasil pengujian menunjukkan bahwa sistem dapat beroperasi secara efektif dengan nilai ROI sebesar 2,98%, yang berarti sistem layak untuk diimplementasikan. Dengan penerapan sistem ini, efisiensi energi dan penghematan biaya listrik dapat dicapai, terutama di area umum seperti lorong gedung. | |
| dc.description.abstract | The automatic corridor lighting system aims to improve energy efficiency by utilizing Internet of Things (IoT) technology. This project develops a lighting system based on PIR (Passive Infrared) and LDR (Light Dependent Resistor) sensors, where the PIR sensor detects human presence and the LDR sensor measures ambient light intensity. The system is designed to automatically turn on the lights when low light conditions are detected and movement is present, and turn off when no activity is detected. Sensor data is transmitted to the ThingSpeak platform for remote monitoring. The Return on Investment (ROI) method is used to evaluate the feasibility of the system in terms of cost and benefit. The test results show that the system operates effectively with an ROI value of 2,98%, indicating that it is feasible to implement. With this system, energy efficiency and electricity cost savings can be achieved, especially in public areas such as building corridors. | |
| dc.description.sponsorship | | |
| dc.language.iso | id | |
| dc.publisher | IPB University | id |
| dc.title | Pengembangan Sistem Otomatisasi Penerangan Lorong Berbasis Internet of Things dengan Sensor PIR dan Sensor Modul LDR | id |
| dc.title.alternative | Development of a Corridor Lighting Automation System Based on the Internet of Things Using PIR and LDR Module Sensors | |
| dc.type | Tugas Akhir | |
| dc.subject.keyword | Internet of Things (IoT) | id |
| dc.subject.keyword | LDR sensor | id |
| dc.subject.keyword | ROI | id |
| dc.subject.keyword | Lighting Automation | id |
| dc.subject.keyword | PIR Sensor | id |
