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Pengembangan Infrastruktur Analisis Data Heart Rate berbasis Microservices menggunakan Kubernetes Abd. Jahiduddin; Eko Sakti Pramukantoro; Fariz Andri Bachtiar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 1 (2020): Januari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Increasing the number of Internet of Things devices every day causes an increase in the volume of data that has no benefit if not done data processing. The most significant challenges in data processing are resource requirements, complex installation processes, difficulties in using analytical tools, and complex maintenance and development processes. This research tries to solve this problem by developing a heart rate data analysis infrastructure using microservices architecture, Docker containers, and Kubernetes. The use of microservices architecture aims to facilitate the development and maintenance of applications. The use of a docker to simplify the installation and deployment process by changing applications with microservices architecture to a docker image. Kubernetes is used to carry out the management of the container docker that runs on the Kubernetes cluster. Scalability testing shows that the infrastructure built is capable of analyzing up to 100,000 data. However, when analyzing 50,000 data there was a drastic increase in an analysis time of seven to eight times. In addition to analytical skills, this study also produces a heart rate data analysis infrastructure that can perform self-healing and can store data persistently.
Implementasi Mekanisme End-To-End Security Menggunakan Algoritma AES dan HMAC pada Pengiriman Data Sensor ECG Berbasis LoRa Al Ghitha Aulia Rahman; Eko Sakti Pramukantoro; Kasyful Amron
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 1 (2020): Januari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (510.941 KB)

Abstract

LoRa (Long-Range) is a wireless transmission media that was designed to be used on low-powered devices such as sensors and only needs to transmit small data over long distances. The application of LoRa in IoT-based ECG (Electrocardiogram) monitoring will assist patients. However, one of the main challenges in implementing IoT is its data security. Moreover, health data such as ECG data are considered to be sensitive because they are used in medical diagnosis. Therefore, a solution to this vulnerability is implementing a security mechanism between endpoints (end-to-end security). End-to-end security mechanisms can be implemented using cryptography. In this research, an end-to-end security using AES and HMAC algorithm is implemented. AES and HMAC is chosen because the devices that is used are low-powered and only have limited resources. That mechanism is applied to sensor nodes and gateway because they are the endpoints.In this research, an end-to-end security mechanism has been implemented successfully. But, the application of this end-to-end security mechanism has an impact, that is an increase in end-to-end delay that exceeds the tolerated delay limit in ECG data transmission. So, this mechanism isn't recommended to be applied in ECG data transmission.
Penerapan Antarmuka Transmisi Data EKG Berbasis Komunikasi BLE (Bluetooth Low Energy) Pada Mobile Middleware Yugi Trilia Septiana; Eko Sakti Pramukantoro; Rakhmadhany Primananda
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 4 No 2 (2020): Februari 2020
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In 2016, the first cause of death in the world was heart disease. It happened because heart disease was often detected late. Internet of Health Things (IoHT) is one of the technological developments of the IoT that can be used as a solution to the problem of electrocardiogram monitoring (ECG). The system consists of AD8232 ECG sensor that connected to an ESP32 sensor that has a BLE module to send the data that was obtained from sensor ECG to mobile middleware. BLE is one of the data transmission media that has advantages in the use of low power, low radiation that make the BLE is suitable to be used in human body. BLE is one of Low-Power Wide-Area-Network (LP-WAN) protocol that makes BLE suitable to be used in IoT environment. This research resulted in a measurement of the performance of the ESP32 BLE sensor node that is capable of processing and sending ECG data to mobile middleware with a delay of 4.02 seconds. So, the results didn't fulfill the requirements in ECG data transmission which is 4 seconds maximum for monitoring uses delay.