Drug Storage System based on Fuzzy Logic and the Internet of Things
Keywords:Fuzzy Logic System, (110) GaAs, Humidity Control System, Global System for Mobile Communication, System Usability Scale
Health-related issues are a top priority for anyone in the world, and if there is any issue related to health, then solutions should be found as soon as possible. Medicine is one of the most important causes of recovery, so storing medicines of the highest possible quality is necessary. Storing medicines is very important for the hospital because they are used for hormones, viruses, and ointments, which are of great value to the hospital's sustainability and must always be preserved. This study designed and implemented a system to continuously control and monitor sensitive atmospheric information for drug storage, such as temperature, humidity, and light exposure. The system starts by reading the environment sensors around the drug store by the microcontroller. Then the microcontroller passes the data to the fuzzy logic. Mamdani-type fuzzy control is implemented to control and monitor devices that are used on fuzzy rules. The system has the ability to send an alarm when any of the temperature and humidity-related parameters are higher or lower than normal. The data collected using this system is sent via two methods: the first is the website platform, and the second is GSM notification. Drug storage is designed and implemented using a microcontroller and IoT sensors. During the system analysis phase, the SWOT method was utilized to obtain user perspectives and preferences, which were then incorporated into the system output specifications for the development phase. This approach helped to identify the necessary system requirements. During the implementation phase of the system and to measure the capabilities of the system, the technique of measuring the system usability scale was used, with the contribution of 22 users of the system, and the percentage recorded as general satisfaction with the system was 91%. The new system improves the overall quality of drug storage, reduces the risk of drug deterioration to patients' health, and reduces the incidence of adverse events associated with drug mismanagement.
Abdulrazaq, M. B., & Mustafa, O. M. (2017). Designing and Implementing of An Online Library Managment System. Science Journal of University of Zakho, 5(3), 278-284.
Ahamed, N. U., Taha, Z. B., Khairuddin, I. B. M., Rabbi, M., Rahaman, S. M., & Sundaraj, K. (2016). Fuzzy logic controller design for intelligent air-conditioning system. 2016 2nd international conference on control science and systems engineering (ICCSSE),
Ali, M., Miry, A., & Salman, T. (2020). Implementation of Intelligent Industrial Controller Based On Fuzzy Logic and PLC. Al-Qadisiyah Journal for Engineering Sciences, 13(1), 55-60.
Alomar, B., & Alazzam, A. (2018). A smart irrigation system using IoT and fuzzy logic controller. 2018 Fifth HCT Information Technology Trends (ITT),
Biryukov, J., Boydston, J., Dunning, R., Yeager, J., Wood, S., Reese, A., Ferris, A., Miller, D., Weaver, W., & Zeitouni, N. (2020). Increasing temperature and relative humidity accelerates inactivation of SARS-CoV-2 on surfaces. mSphere 5. In.
Dang, L. M., Piran, M. J., Han, D., Min, K., & Moon, H. (2019). A survey on internet of things and cloud computing for healthcare. Electronics, 8(7), 768.
Demircilioğlu, E., Teomete, E., Schlangen, E., & Baeza, F. J. (2019). Temperature and moisture effects on electrical resistance and strain sensitivity of smart concrete. Construction and Building Materials, 224, 420-427.
Dewantoro, G., Nugraha, B. E., & Setiaji, F. D. (2020). A fuzzy logic-based automation toward intelligent air conditioning systems. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 335-344.
Fezari, M., & Al Dahoud, A. (2019). Exploring One-wire Temperature sensor “DS18B20” with Microcontrollers. Badji Mokhtar Annaba University, University of Al-Zaytoonah Faculty of IT, Jordan.
Fletcher, M., Biglarbegian, M., & Neethirajan, S. (2013). Intelligent system design for bionanorobots in drug delivery. Cancer nanotechnology, 4(4), 117-125.
Koshti, M., Ganorkar, S., & Chiari, L. (2016). IoT based health monitoring system by using Raspberry Pi and ECG
How to Cite
Copyright (c) 2023 Maiwan B. Abdulrazzaq, Shivan M. Othman
This work is licensed under a Creative Commons Attribution 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 [CC BY-NC-SA 4.0] that allows others to share the work with an acknowledgment 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, with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online.