Lot Based Indoor Lightning System Based On Human Activity

Authors

  • Kevin Cahyadi Computer Science Department, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia , Indonesia
  • Benfano Soewito Computer Science Department, BINUS Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia , Indonesia

DOI:

https://doi.org/10.31004/jptam.v6i2.4047

Keywords:

Sistem Pencahayaan Dalam Ruangan, Aktivitas Manusia, Internet of Things, Logika Fuzzy, Sistem Pelokalan

Abstract

Lampu sebagai sumber penerangan masih memiliki kekurangan dalam efektifitas karena sistem ini dioperasikan secara manual dan tidak menggunakan pengaruh penerangan dari luar dan aktivitas manusia. Makalah ini bertujuan untuk merancang sistem pencahayaan dalam ruangan yang dapat mengatur pencahayaan dari luar dan aktivitas manusia sehingga sistem tersebut dapat mencegah pencahayaan yang berlebihan agar tidak terjadi pemborosan energi. Sistem ini memanfaatkan Internet of Things atau IoT sebagai pengaturan sistem pencahayaan dalam ruangan jarak jauh. Selain itu, sistem kontrol pencahayaan ini juga akan dikembangkan menggunakan metode logika fuzzy untuk menghasilkan aplikasi seperti sistem kontrol yang lebih fleksibel dan canggih dibandingkan dengan sistem konvensional. Hasil penelitian ini menunjukkan bahwa sistem pencahayaan ruangan dapat diatur secara fleksibel. baik dengan menggunakan beberapa sensor untuk menentukan aktivitas manusia maupun dengan menggunakan metode logika fuzzy, sistem dapat mengatur intensitas cahaya yang dihasilkan berdasarkan aktivitas manusia maupun dengan menggunakan IoT sebagai pengaturan jarak jauh.

References

Putro, M. D., & Kambey, F. D. (2016). Sistem Pengaturan Pencahayaan Ruangan Berbasis Android Pada Rumah Pintar. Jurnal Nasional Teknik Elektro, 5(3), 297-307.

Adnan, N., Kamal, N., & Chellappan, K. (2019, December). An IoT based smart lighting system based on human activity. In 2019 IEEE 14th Malaysia International Conference on Communication (MICC) (pp. 65-68). IEEE.

Ramdan, A., Prajitno, D. R., Herlan, H., & Gojali, E. A. (2014). Lampu pintar berbasis LED dengan multi sensor. INKOM Journal, 7(2), 67-73.

Putra, I. G. P. M. E., Giriantari, I. A. D., dan Jasa, L. (2017). Monitoring Menggunaan Daya Listrik Sebagai Implementasi Internet of Things Berbasis Wireless Sensor Network. Teknologi Elektro, 16(3).

Lianda, J., Handarly D., dan Adam. (2019). Sistem Monitoring Konsumsi Daya Listrik Jarak Jauh Berbasis Internet of Things. Jurnal Teknologi Rekayasa, 4(1), 79-84.

Al-Ali, A. R., Zualkernan, I. A., Rashid, M., Gupta, R., & Alikarar, M. (2017). A Smart Home Energy Management System Using IoT and Big Data Analytics Approach. IEEE Transactions on Consumer Electronics, 63(4), 426-434.

Meena, B., Ram, M., & Sambasivanayak, R. (2017). Smart Street Lightning System for Effective Power Utilisation with Accident Avoidance. International Journal of Emerging Technology in Computer Science & Electronics (IJETCSE), 24(11).

Chun, S., & Lee, C. S. (2013). Applications of human motion tracking: Smart lighting control. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 387-392).

Chun, S., Lee, C. S., & Jang, J. S. (2015). Real-time smart lighting control using human motion tracking from depth camera. Journal of Real-Time Image Processing, 10(4), 805-820.

Muhamad, M., & Ali, M. M. (2018, October). IoT based solar smart LED street lighting system. In TENCON 2018-2018 IEEE Region 10 Conference (pp. 1801-1806). IEEE.

Jia, G., Han, G., Li, A., & Du, J. (2018). SSL: Smart street lamp based on fog computing for smarter cities. IEEE Transactions on Industrial Informatics, 14(11), 4995-5004.

Yoganathan, N. S., Priya, G. L., Monisha, R., Lavanya, A., & Kowsalya, S. (2018). Density-Based Smart Lighting System Using IoT. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 7(2), 504-513.

Lakade, N. A., Patel, R., & Panchal, P. (2019). Intelligent Lighting System for Classrooms and Mall using IoT. International Research Journal of Engineering and Technology, 6(6), 3223-3227.

Papatsimpa, C., & Linnartz, J. P. (2020). Personalized office lighting for circadian health and improved sleep. Sensors, 20(16), 4569.

Montalbo, F. J., & Enriquez, E. (2020, August). An IoT Smart Lighting System for University Classrooms. In 2020 International Symposium on Educational Technology (ISET) (pp. 3-7). IEEE.

Downloads

Published

02-06-2022 — Updated on 02-06-2022

Versions

How to Cite

Cahyadi, K. ., & Soewito, B. (2022). Lot Based Indoor Lightning System Based On Human Activity. Jurnal Pendidikan Tambusai, 6(2), 10259–10265. https://doi.org/10.31004/jptam.v6i2.4047

Issue

Vol. 6 No. 2 (2022): Agustus 2022

Section

Articles of Research

Citation Check

License

Copyright (c) 2022 Kevin Cahyadi, Benfano Soewito

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).