Published: 2024-08-20
Designing an Automatic Room Temperature Control System for Smart Homes for the Elderly Using IoT
DOI: 10.35870/ijsecs.v4i2.2844
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Abstract
The elderly population in Southeast Asia currently represents 8% or approximately 142 million people, according to the World Health Organization (WHO). As individuals age, various factors require greater attention, such as physical and mental health, a healthy and regular diet, as well as safety and comfort in their living environment. Extreme room temperatures often cause discomfort among the elderly, potentially worsening their health conditions. This study proposes the design of an automatic room temperature control system for smart homes, specifically for elderly care, utilizing Internet of Things (IoT) technology. The system employs a DHT22 sensor, alongside fans and heaters, to maintain stable room temperatures. The methodology includes problem identification, system overview, requirements identification, system and device design, system testing, and evaluation. The system measures room temperature using the DHT22 sensor and automatically regulates the fans and heaters to ensure a comfortable environment for the elderly. Test results indicate that the system effectively maintains room temperature stability. Furthermore, the system can be controlled remotely via the Blynk application, providing ease of use for the elderly in managing the system from a distance. This system thus aids the elderly in consistently maintaining a comfortable room temperature tailored to their specific needs.
Keywords
Internet of Things ; Blynk ; Automatic Room Temperature Control System ; DHT22 ; Elderly
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 4 No. 2 (2024)
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Section: Articles
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Published: %750 %e, %2024
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License: CC BY 4.0
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Copyright: © 2024 Authors
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DOI: 10.35870/ijsecs.v4i2.2844
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Zakiyatunnisrina H. Rihhadatulaisy
Informatics Study Program, Faculty of Industrial Technology, Universitas Islam Indonesia, Sleman Regency, Special Region of Yogyakarta, Indonesia
Kurniawan D. Irianto
Informatics Study Program, Faculty of Industrial Technology, Universitas Islam Indonesia, Sleman Regency, Special Region of Yogyakarta, Indonesia
-
Ekasari, M. F., Riasmini, N. M., & Hartini, T. (2019). Meningkatkan kualitas hidup lansia: Konsep dan berbagai intervensi. Wineka Media.
-
Van Hoof, J., & Hensen, J. L. M. (2006). Thermal comfort and older adults. Gerontechnology, 4(4), 223-228. https://doi.org/10.4017/gt.2006.04.04.006.00
-
Islami, H. I., Nabilah, N., Atsaurry, S. S., Saputra, D. H., Pradipta, G. M., Kurniawan, A., Syafutra, H., Irmansyah, & Irzaman. (2016). Sistem kendali suhu dan pemantauan kelembaban udara ruangan berbasis Arduino Uno dengan menggunakan sensor DHT22 dan Passive Infrared (PIR). Prosiding Seminar Nasional Fisika (E-Journal), 5(1), October 2016. https://doi.org/10.21009/0305020123
-
Artiyasa, M., Rostini, A. N., Edwinanto, & Junfithrana, A. P. (2020). Aplikasi smart home NodeMCU IoT untuk Blynk. Jurnal Rekayasa Teknologi Nusa Putra, 7(1), 1-7. Retrieved from https://rekayasa.nusaputra.ac.id/article/view/59/47
-
Alzidni, I. M., Hapsari, G. I., & Sani, M. I. (2022). Perancangan perangkat rumah cerdas berbasis Iotar: Modul perangkat keras IoT. eProceedings of Applied Science, 8(5).
-
Fadli, S. M. (2022). Sistem monitoring ruang server berbasis Internet of Things (IoT) menggunakan Android dan NodeMCU ESP8266 (Studi kasus: PTIPD UIN SUSKA Riau). Retrieved from https://repository.uin-suska.ac.id/62787/2/SKRIPSI%20MUHAMMAD%20FADLI%20S.pdf
-
Wijanarko, D., & Hasanah, S. (2017). Monitoring suhu dan kelembaban menggunakan SMS Gateway pada proses fermentasi tempe secara otomatis berbasis mikrokontroler. Jurnal Informatika Polinema, 4(1), 49. https://doi.org/10.33795/jip.v4i1.144
-
Abdullah, D., Prayogi, U., Asnur, S., Aini, Q., & Santoso, F. (2023). Rancang bangun prototype smarthome pada rumah tipe 36 dengan kendali smartphone berbasis IoT (Internet of Things). Retrieved from https://repository.uinjkt.ac.id/dspace/bitstream/123456789/70153/1/rancang%20bangun-prototype.pdf
-
Yuliza, Y., & Pangaribuan, H. (2016). Rancang bangun kompor listrik digital IoT. Jurnal Teknologi Elektro, 7(3), 141988.
-
Navita, & Meenu. (2015). Study and analysis of software testing. December, 6674–6678.
-
Rachman, A., Arifin, Z., & Maharani, S. (2020, September). Sistem pengendali suhu ruangan berbasis Internet of Things (IoT) menggunakan Air Conditioner (AC) dan NodeMCU V3 ESP8266. Prosiding SAKTI (Seminar Ilmu Komputer Dan Teknologi Informasi), 5(1). September 2020.
-
Satya, T. P., Oktiawati, U. Y., Fahrurrozi, I., & Prisyanti, H. (2020). Analisis akurasi sistem sensor DHT22 berbasis Arduino terhadap thermohygrometer standar. Jurnal Fisika dan Aplikasinya, 16(1), 40-45. http://dx.doi.org/10.12962/j24604682.v16i1.5776
-
Vinola, F., & Rakhman, A. (2020). Sistem monitoring dan controlling suhu ruangan berbasis Internet of Things. Jurnal Teknik Elektro dan Komputer, 9(2). https://doi.org/10.35793/jtek.v9i2.29698
-
Irianto, K. D. (2023). Pre-SEMMS: A design of prepaid smart energy meter monitoring system for household uses based on Internet of Things. Journal of Electronics, Electromedical Engineering, and Medical Informatics, 5(2), 69–74. https://doi.org/10.35882/jeeemi.v5i2.282
-
Putra, H. Y., & Budiyanto, U. (2021). Rancang bangun pengukur suhu tubuh dengan multi sensor untuk mencegah penyebaran Covid-19. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 5(3), 543-549. https://doi.org/10.29207/resti.v5i3.2931
-
Usman, R. A. (2016). Analisis dan desain sistem monitoring dan evaluasi koperasi pada Dinas Koperasi Kabupaten Sidoarjo (Undergraduate thesis, Stikom Surabaya). Retrieved from https://repository.dinamika.ac.id/id/eprint/1628/
-
Zhang, Q., Li, M., & Wu, Y. (2020). Smart home for elderly care: Development and challenges in China. BMC Geriatrics, 20(1). https://doi.org/10.1186/s12877-020-01737-y
-
Forkan, A., Branch, P., Jayaraman, P., & Ferretto, A. (2019). HalleyAssist: A personalised Internet of Things technology to assist the elderly in daily living. https://doi.org/10.24251/hicss.2019.507
-
Moyle, W., Murfield, J., & Lion, K. (2021). The effectiveness of smart home technologies to support the health outcomes of community-dwelling older adults living with dementia: A scoping review. International Journal of Medical Informatics, 153, 104513. https://doi.org/10.1016/j.ijmedinf.2021.104513
-
Alshdadi, A. (2023). Evaluation of IoT-based smart home assistance for elderly people using robot. Electronics, 12(12), 2627. https://doi.org/10.3390/electronics12122627
-
Elsayed, N., Zaghloul, Z., Azumah, S., & Li, C. (2021). Intrusion detection system in smart home network using bidirectional LSTM and convolutional neural networks hybrid model. https://doi.org/10.48550/arxiv.2105.12096
-
Mahlous, A. (2023). Threat model and risk management for a smart home IoT system. Informatica, 47(1). https://doi.org/10.31449/inf.v47i1.4526
-
Fayoumi, A., Sobati-Moghadam, S., Rajaiyan, A., Oxley, C., Montero, P., & Safarian, A. (2023). Home care automation: Market research, industry analysis, and security assessment. https://doi.org/10.1109/cymaen57228.2023.10051063.
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