A Smart Control System Model for Pharmaceutical and Medical Equipment Storage Using Fuzzy Logic and IoT
DOI:
https://doi.org/10.59934/jaiea.v4i2.866Keywords:
Smart Control System, Fuzzy Logic, Internet Of Things (IoT)Abstract
The primary goal of this study is to develop an innovative Smart Control System designed to maintain optimal temperature and humidity levels within a medical storage environment. By integrating Fuzzy Logic with Internet of Things (IoT) technology, we aim to enhance/optimize environmental control. Our experimental approach involved constructing an IoT-based prototype utilizing an Arduino Uno board equipped with high-precision temperature and humidity sensors, and DHT22 components for automated temperature and humidity stabilization. A fuzzy logic algorithm was employed/utilized to analyze real-time sensor data and generate/produce adaptive control outputs in response to environmental fluctuations. This smart control system is expected to significantly enhance/make a significant contribution to medical inventory management by reducing product damage and ensuring the safety of medical supplies. This research paves the way for future advancements in applying advanced technology for environmental control in healthcare settings
Keywords: Smart Control System, Fuzzy Logic, Internet Of Things (IoT)
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M. A. Paredes-Valverde, G. Alor-Hernández, J. L. Garcı́a-Alcaráz, M. Del P. Salas- Zárate, L. O. Colombo-Mendoza, And J. L. Sánchez-Cervantes, “Intellihome: An Internet Of Things-Based System For Electrical Energy Saving In Smart Home Environment,” Comput Intell, Vol. 36, No. 1, Pp. 203–224, Feb. 2020, Doi: 10.1111/Coin.12252.
M. Kashyap, V. Sharma, And N. Gupta, “Taking Mqtt And Nodemcu To Iot: Communication In Internet Of Things,” In Procedia Computer Science, Elsevier B.V., 2018, Pp. 1611–1618. Doi: 10.1016/J.Procs.2018.05.126.
S. K. Malchi, S. Kallam, F. Al-Turjman, And R. Patan, “A Trust-Based Fuzzy Neural Network For Smart Data Fusion In Internet Of Things,” Computers And Electrical Engineering, Vol. 89, Jan. 2021, Doi: 10.1016/J.Compeleceng.2020.106901.
A. De Paola, P. Ferraro, G. Lo Re, M. Morana, And M. Ortolani, “A Fog-Based Hybrid Intelligent System For Energy Saving In Smart Buildings,” J Ambient Intell Humaniz Comput, Vol. 11, No. 7, Pp. 2793–2807, Jul. 2020, Doi: 10.1007/S12652-019-01375-
A. A. M. Khalifa And K. Prawiroredjo, “Model Sistem Pengendalian Suhu Dan Kelembaban Ruangan Produksi Obat Berbasis Nodemcu Esp32,” Jurnal Eltikom, Vol. 6, No. 1, Pp. 13–25, Jan. 2022, Doi: 10.31961/Eltikom.V6i1.415.
F. Akbar And S. Sugeng, “Implementasi Sistem Monitoring Suhu Dan Kelembapan Ruangan Penyimpanan Obat Berbasis Internet Of Things (Iot) Di Puskesmas Kecamatan Taman Sari Jakarta Barat,” Jurnal Sosial Teknologi, Vol. 1, No. 9, Pp. 1021–1028, 2021.
S. U. Filla And S. Suhardi, “Prototype Alat Pengatur Temperatur Ruang Kerja Pada Rumah Menggunakan Logika Fuzzy Tsukamoto Berbasis Iot,” Journal Of Science And Social Research, Vol. 7, No. 1, Pp. 68–77, 2024.
M. Raval, S. Bhardwaj, A. Aravelli, J. Dofe, And H. Gohel, “Smart Energy Optimization For Massive Iot Using Artificial Intelligence,” Internet Of Things (Netherlands), Vol. 13, Mar. 2021, Doi: 10.1016/J.Iot.2020.100354.
F. D. Silalahi Et Al., “Implementasi Internet Of Things (Iot) Dalam Monitoring Suhu Dan Kelembaban Ruang Produksi Obat Non Steril Menggunakan Arduino Berbasis Web,” Vol. 13, No. 2, Pp. 62–68, 2021.
M. Wimala And D. K. Imanuela, “Perkembangan Internet Of Things Di Industri Konstruksi,” Journal Of Sustainable Construction, Vol. 1, No. 2, Pp. 43–51, [Online]. Available: Https://Journal.Unpar.Ac.Id/Index.Php/Josc
Anggy Giri Prawiyogi And Aang Solahudin Anwar, “Perkembangan Internet Of Things (Iot) Pada Sektor Energi : Sistematik Literatur Review,” Jurnal Mentari: Manajemen, Pendidikan Dan Teknologi Informasi, Vol. 1, No. 2, Pp. 187–197, Jan. 2023, Doi: 10.34306/Mentari.V1i2.254.
A. Khudoyberdiev, S. Ahmad, I. Ullah, And D. H. Kim, “An Optimization Scheme Based On Fuzzy Logic Control For Efficient Energy Consumption In Hydroponics Environment,” Energies (Basel), Vol. 13, No. 2, 2020, Doi: 10.3390/En13020289.
F. Elfaladonna, I. Griha, And T. Isa, “Uji Efektfitas Metode Fuzzy Logic Mamdani Pada Penerimaan Beasiswa Bantuan Menggunakan Matlab,” Science And Information Technology (Sintech), Vol. 3, 2020, [Online]. Available: Https://Doi.Org/10.31598
A. N. Shahbaz, H. Barati, And A. Barati, “Multipath Routing Through The Firefly Algorithm And Fuzzy Logic In Wireless Sensor Networks,” Peer Peer Netw Appl, Vol. 14, No. 2, Pp. 541–558, Mar. 2021, Doi: 10.1007/S12083-020-01004-2.
I. D. M. J. Putra, I. Sulistiyowati, And S. Syahrorini, “Hot Water Looping System To Control Temperature Of Drug Production Based Arduino,” Seminar Nasional & Call Paper Fakultas Sains Dan Teknologi (Senasains), Vol. 2, No. 2, 2022.
H. K. Kondaveeti, N. K. Kumaravelu, S. D. Vanambathina, S. E. Mathe, And S. Vappangi, “A Systematic Literature Review On Prototyping With Arduino: Applications, Challenges, Advantages, And Limitations,” Computer Science Review, Vol. 40. Elsevier Ireland
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