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Journal : Journal of Robotics and Control (JRC)

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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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.
Tower Planning And Arrangements Mobile Telecommunication District Central Aceh With Methode Fuzzy Clustering Safwani, Eva; Firdausi, Ahmad; Hakim, Galang
Journal of Robotics and Control (JRC) Vol 2, No 1 (2021): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2144

Abstract

Advances in technology, especially in the telecommunications industry has been progress rapidly. Various types of cellular communication systems began operating by covering targeted service areas throughout Indonesia even to the corners of the archipelago, operators continue to try to build infrastructure so that service and the quality is increasing. One of the on going infrastructure developments is Base Transceiver Station (BTS). However, BTS development infrastructure must consider the aesthetics and compliance with the Regional Spatial Plan an area to determine the potential location of tower construction optimally. In this paper we propose the Fuzzy Clustering and Harmony Search to optimize the placement of potential new tower locations. In the optimization process using several parameters such as total population, total area, and shared tower needs for the next 5 (five) years. The results of optimization show that needs BTS in 2024 network services require an additional 74 BTS and supported by 21 new towers together.
Control and Monitoring Automatic Floodgate based on NodeMCU and IOT with Fuzzy Logic Testing Satriya Ramahdika Utama; Ahmad Firdausi; Galang Persada Hakim
Journal of Robotics and Control (JRC) Vol 3, No 1 (2022): January
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i1.11199

Abstract

Flood is still a problem that always been a mayor obstacle in several big cities in Indonesia such as DKI Jakarta. If the rainfall so high and river can be accommodate the rainfall, there will be flooding. So that river water doesn’t overflow, it is necessary to make a floodgate in the river flow. One of the previous studies that has been carried out regarding the control and monitoring of water dam gates is researched by Fahruddin. 2014 from the Faculty of Science and Technology, Makassar State Islamic University: Describes the design of a device capable of monitoring the height of water activity in the reservoir and controlling the floodgates automatically according to the height of water activity. The research that the writer is currently carrying out is the design method which consists of a series of sensors, NodeMCU microcontrollers, and Stepper Motors. The workflow of this system is when the water rises or falls, it send a signal to the sensor. And then the signal will be input for the microcontroller which is then processed to turn on the motor, so that it can open or close the floodgates, and send information to the indicator screen and Telegram application. After the experiment is carried out, it can be said that the system can work properly, namely when the ultrasonic sensor experiment, it was found that the sensor has been sent an output signal that was in accordance with the water level in actual condition. Based on testing using the fuzzy method, it was found that opening value at the floodgate obtained during the test had an average accuracy rate of 91% with an error difference of 9%.
RSSI Indoor Outdoor Personal Localization: A Study to Found Targeted Social Engineering Victim by Attacker Via Wireless Methods Ahmad Firdausi; Galang P. N. Hakim
Journal of Robotics and Control (JRC) Vol 2, No 4 (2021): July
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.24101

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.
Nebulizer Operational Time Control Based on Drug Volume and Droplet Size Using Fuzzy Sugeno Method Ibnu Rizal Fadhlurahman Arif; Ahmad Firdausi; Galang P. N. Hakim
Journal of Robotics and Control (JRC) Vol 2, No 2 (2021): March
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.2259

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.