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Journal : TELKOMNIKA (Telecommunication Computing Electronics and Control)

WSN nodes power consumption using multihop routing protocol for illegal cutting forest Giva Andriana Mutiara; Nanna Suryana; Othman Mohd
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14844

Abstract

The need for an automation system from a remote area cannot be separated from the role of the wireless sensor network. However, the battery consumption is still a problem that influences the lifetime of the system. This research focused on studying how to characterize the power consumption on each sensor node using multihop routing protocol in the illegal logging field, to get the prediction lifetime of the network. The system is designed by using six sensor nodes in a master-slave connection and implemented in a tree topology. Each sensor node is consisting of a sound sensor, vibration sensor, Xbee communication, current and voltage sensor, and Arduino nano. The system is tested using battery 10050 mAH with several scenarios to have calculated how long the battery lifetime can be predicted. The results stated that the master node on the network depleted the power of the battery faster than the slave node since the more slaves connected to the master, the more energy the battery consumes.
Fit-NES: wearable bracelet for heart rate monitoring Muhammad Ikhsan Sani; Giva Andriana Mutiara; Raden Sri Dewanto Wijaya Putra
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11611

Abstract

The heart is a vital organ that serves to pump blood to the whole body. A heart rate can be used as a healthy body parameter conditions. Growing evidence suggests that IT-based health records play essential role to drive medical revolution especially on data storage and processing. The heart rate measurement (HRM) process usually involves wearable sensor devices to record patient’s data. This data is recorded to help the doctors to analyze and provide a better diagnose in order to determine the best treatment for the patients. Connecting the sensor system through a wireless network to a cloud server will enable the doctor to monitor remotely. This paper presents fit-NES wearable bracelet, an alternative method for integrating a HR measurement device using optical based pulse sensor and Bluetooth-based communication module. This paper is also present the benchmarking of proposed system with several various commercial HR measurement devices.
Prototype of human footstep power generator using ultrasonic sensor Giva Andriana Mutiara; Andri Surya Dinata; Anang Sularsa
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.11751

Abstract

Nowadays, the human need for electrical energy is getting higher. Due to the declining supply fuel, many efforts have been studied to find renewable energy. One of the studies is building a power generator system that comes from daily human activities. This paper proposes a human footstep power generator using ultrasonic sensor HC-SR04. Only by doing a simply walking on the ground floor, electrical energy can trigger. An HC-SR04 sensor measuring the spring distances from the footstep and activates the motor drive relay and generator that converts mechanical energy into electrical energy and stored in a battery. The test results state that the deeper of a footing step on the floor surface, the greater distance produced and the higher voltage can be generated. The footstep can trigger 7.5 V-8.8 V. Full battery condition can be used to turn on two pieces of 2-watt LED lamps for approximately 5 hours.
Face recognition smart cane using haar-like features and eigenfaces Gita Indah Hapsari; Giva Andriana Mutiara; Husein Tarigan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.11772

Abstract

Visually impaired has the limitation in interacting with another human. They usually use the sense of hearing and touching their face to recognize human. Face recognition is a technology that can be used to solve this problem. This paper develops a smart cane function by integrated face recognition feature on the cane using Haar-Like features and Eigenfaces. This paper proposed a portable, real time, and wearable product. Raspberry Pi supports portability that affects the delay and computing speed of face recognition algorithms. Utilization of Raspi camera on the eyes glasses is for wearable purposes. Voice output provides information on whether the face is caught on camera or not. This prototype works well during the face detection and recognition process. It needs 3 seconds for one-face recognized in range 0.25 until 1.5 meters from the camera, until the sound and information are generated. It needs is me 5 second for two faces recognized and 10 seconds for 3 faces recognized by a system in the same range between face and the camera. The accuracy reaches 91.67% for the up-right position face but for other position the accuracy is only 18% until 32%.