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Time Control Nebulizer Operation Using Fuzzy Sugeno Method Firdausi, Ahmad; Rizal Fadhlurahman Arif, Ibnu; P. N. Hakim, Galang
Journal of Robotics and Control (JRC) Vol 2, No 2 (2021): March (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

Nebulizer is one of the electro medic devices that serve to provide therapy for patients who experience abnormalities or disorders of the respiratory tract. Nebulizer system works using piezo electronic device to produces high frequency vibration. With this high frequency vibration the drug liquid molecules breaks down become fumes, thus it can easily to inhale for patient even for children. Unfortunately like other aerosol drug delivery system, the operation of nebulizer is also still manual. The patient doesn’t really know when the drug is empty on the canister. The nurses also need to check in regularly to see if the drugs are empty or not. In this paper a fuzzy sugeno methods is used to give prediction of nebulizer time operational. We propose fuzzy sugeno to calculate the time operational nebulizer using two parameters, such as drug droplet size and drug liquid volumes that have been administer by nurses. Using fuzzy sugeno method we can solve the nebulizer manual operational time problem. Our result show that the longest operational time was 26.07 minutes, this achieve when liquid volume was 5 ml and the size of drug droplet was 1 um. Meanwhile for the shortest operational time was 8.07 minutes, this achieve when liquid volume was 10 ml and the size of drug droplet was 4 um. We can conclude that we had successful to control nebulizer operational time using fuzzy sugeno method.
RSSI Indoor Outdoor Personal Localization: A Study to Found Targeted Social Engineering Victim by Attacker Via Wireless Methods Firdausi, Ahmad; P. N. Hakim, Galang
Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July (Forthcoming Issue)
Publisher : Universitas Muhammadiyah Yogyakarta

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Abstract

Social engineering is a common method to collect more information from victim trough socialization. This method employs human psychology to manipulate other people. In cyber society today, the attacker could use various methods to tapping into victim smartphone, and after that the attacker can get victim persona profiling information. The attacker can select random victim and then using wireless localization methods, the attacker could found its victim. After the random victim has been found the attacker can start social engineering directly to the victim based on persona profiling information, to gain trust and more personal information that can lead inflicting damage to the victim. In this paper, we demonstrate to localize victim using green obaidat calibrate Path loss Propagation models and $4 dollar device based on victim Smartphone RSSI Wi-Fi Signal. With this device we could localize a person within 15 meter with just only 0.64 dbm in difference between our RSSI measurement and simulation.