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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY
Pangesti, Lintang Desy
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Computer Science & IT Economics, Econometrics & Finance

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Optimalisasi Implementasi Basis Data NoSQL di AWS melalui Pemanfaatan AWS Skill Builder Pangesti, Lintang Desy; Ardianto, Rian; Purwono, Purwono
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 5, No 2: DESEMBER 2024
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v5i2.4611

Abstract

Cloud computing has changed the paradigm of IT infrastructure by providing access to computing resources over the Internet, enabling organizations to manage their applications and data without having to manage the physical infrastructure. AWS (Amazon Web Services) is the leading choice in providing reliable and innovative cloud solutions, supporting a wide range of industries with scalable and secure services. However, in Indonesia, AWS implementation is still limited. The study investigates the use of AWS Skill Builder to implement NoSQL databases on AWS, highlighting the key role of case-based training and projects in accelerating the understanding and application of this technology. Through a systematic literature review approach, the study provides in-depth insight into how AWSSkill Builders can enhance user technical skills in managing and implementing NoSQL data bases effectively in an AWS environment.
Implementasi Teknologi Cerdas Berbasis IoT dan Telegram untuk Monitoring Kesehatan Jantung Pangesti, Lintang Desy; Sandi A , Arif Setia; Ardianto, Rian
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp332-339

Abstract

The human heart acts as a vital organ that pumps blood throughout the body, and heart disease is the leading cause of death globally, including in Indonesia. To address this issue, this research proposes an Internet of Things (IoT)-based health monitoring system that can measure heart rate, oxygen saturation, and body temperature using MAX30100 and LM35 sensors. The system is equipped with real-time notification via Telegram and data display on an OLED screen. The method used is prototyping, with testing of sensor accuracy compared to conventional measuring instruments. The test results show good accuracy in BPM and SpO₂ measurements with an error of 5.78% and 3.6%, respectively, compared to the oximeter. However, body temperature measurement using the LM35 sensor showed an average error of 7.78%, due to the sensitivity of the sensor to ambient temperature.
Co-Authors Ardianto, Rian Arif Setia Sandi A. Purwono Purwono, Purwono