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SENSOR SELECTION COMPARISON BETWEEN FUZZY TOPSIS ALGORITHM AND SIMPLE ADDITIVE WEIGHTING ALGORITHM IN AUTOMATIC INFUSE MONITORING SYSTEM APPLICATION Budiyanto, Setiyo; Hakim, Galang Persada Nurani; Firdausi, Ahmad; I. M, Fajar Rahayu
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.005

Abstract

One of the critical equipment to support a patient in the hospital would be an infuse system. One of the main problems with the infuse system was manual monitoring. Few researchers try to build a low cost infuse system using a low-cost sensor and microcontroller. This paper proposes a fuzzy Topsis algorithm and Simple Additive Weighting (SAW) algorithm to choose the best sensor for a low cost to the infuse system, which is one of the Multiple Criteria Decision Making (MCDM) problems. Several simulations using three sensors, such as LDR (photoresistor), phototransistor, and photodiode, are performed. By using these two algorithms, it can be shown that the phototransistor emerges as the best sensor with value 1, even though it has the price six times higher from the LDR sensor and three times higher from the photodiode.
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

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

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.
A low cost electromagnetic sensor for detecting holes in metallic sheet Galang P. N. Hakim; Ahmad Firdausi; Mudrik Alaydrus
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 5: October 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i5.12684

Abstract

Unwanted hole in metal sheet that use for vehicle body or structure is proved dangerous situation. To prevent disaster this hole needs to be found before its installation, or other wise it will be time and money consuming once its found when already finished installation. Therefore, an inspection using sensor for metal sheet is recommended to prevent this problem. In this paper, we proposed a new sensor using radio wave propagation to detect holes in metal sheet. We propose to use RSSI methods to detect hole based on electromagnetic wave propagation signal strength. Using this method we success to detect 8mm hole diameter in metal sheet with 1mm thickness. Using this method, we transmit electromagnetic wave energy at about 20 dBm, and we receive with average -27.53 dBm for iron sheet and -23.13 dBm for aluminum sheet.
PENGENALAN TEKNOLOGI 5G (Generasi ke 5) PADA SEBUAH SISTEM ANTENA UNTUK SISWA/I SMA DI KEMBANGAN UTARA UNIVERSITAS MERCU BUANA JAKARTA BARAT Ahmad Firdausi
Jurnal Abdi Masyarakat (JAM) Vol 5, No 1 (2019): JAM (Jurnal Abdi Masyarakat) - September
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (251.571 KB) | DOI: 10.22441/jam.2019.v5.i1.002

Abstract

Pengabdian Masyarakat hasil penelitian yang dilaksanakan pada Semester Ganjil Tahun Akademik 2018/2019 Pengenalan Teknologi 5G (Generasi ke 5) pada sebuah system antenna untuk siswa SMA di Kembangan Utara. Pengabdian masyarakat hasil penelitian ini akan dilaksanakan di laboratorium Teknik Elektro Universitas Mercu Buana Jakarta..Tujuan Pengabdian Masyarakat hasil penelitian ini Setelah melaksanakan presentasi di hadapan para praktisi khususnya yang ada di bidang information technology di harapkan para peserta dapat mengetauhi dan menjelaskan teknologi yang sat ini sedang berkembang di semua negara untuk berlomba-lomba untuk meneliti teknologi 5G dan mengetauhi saat ini sudah sampai mana untuk teknologi 5G itu sendiri. Hasil akhir yang akan dicapai dalam pengabdian masyarakat hasil penelitian ini adalah peserta diharapkan dapat memahami materi presentasi dengan baik dan mengerti tentang teknologi 5G dan system antenna 5G
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.
Benchmarking In Microcontroller Development Board Power Consumption For Low Power Iot Wsn Application Galang Persada Nurani Hakim; Muhammad Hafizd Ibnu Hajar; Ahmad Firdausi; Eko Ramadhan
Jurnal Teknologi Elektro Vol 13, No 1 (2022)
Publisher : Electrical Engineering, Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jte.2022.v13i1.005

Abstract

One of the advantages of Wireless Sensor Network would be its ability to reduce cost of communication system using node to node communication. However Wireless Sensor Network also had a disadvantage which is has limited energy which is include this as low power application. This small energy capacity has limit WSN node capability to operate for a long time. In this paper, we compare power consumption for 3 popular microcontroller development platforms that use for fast development and prototyping Wireless Sensor Network node. The power consumption was including active mode (using most energy) and deep sleep mode (using least energy) operation. From benchmarking we can see that lolin ESP32 as a microcontroller development platform has the most efficient in power consumption which is only 40 mA in active and 0.05 in deep sleep mode, compare with arduino pro mini 8 mA in active and 0.3 mA in deep sleep mode, and wemos D1 mini 74 mA in active and 0.13 mA in deep sleep mode. This low power consumption in deep sleep mode has resulting in longer operational time which is almost 48 Month for lolin ESP32
SENSOR SELECTION COMPARISON BETWEEN FUZZY TOPSIS ALGORITHM AND SIMPLE ADDITIVE WEIGHTING ALGORITHM IN AUTOMATIC INFUSE MONITORING SYSTEM APPLICATION Setiyo Budiyanto; Galang Persada Nurani Hakim; Ahmad Firdausi; Fajar Rahayu I. M
SINERGI Vol 24, No 3 (2020)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2020.3.005

Abstract

One of the critical equipment to support a patient in the hospital would be an infuse system. One of the main problems with the infuse system was manual monitoring. Few researchers try to build a low cost infuse system using a low-cost sensor and microcontroller. This paper proposes a fuzzy Topsis algorithm and Simple Additive Weighting (SAW) algorithm to choose the best sensor for a low cost to the infuse system, which is one of the Multiple Criteria Decision Making (MCDM) problems. Several simulations using three sensors, such as LDR (photoresistor), phototransistor, and photodiode, are performed. By using these two algorithms, it can be shown that the phototransistor emerges as the best sensor with value 1, even though it has the price six times higher from the LDR sensor and three times higher from the photodiode.