Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Teika

Analisis Perbandingan Metode Fingerprinting dan Dead Reckoning Pada Sistem Penentuan Posisi Dalam Ruangan Rolly Junius Lontaan; Oktoverano Lengkong; Jacquline Waworundeng
TeIKa Vol 13 No 01 (2023): TeIKa: April 2023
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36342/teika.v13i01.3082

Abstract

Indoor positioning system technology is one of the solutions to problems that cannot be done by positioning technology for objects determined by the Global Positioning System (GPS) when the position is in a multi-storey building. To determine the position in the room, there are several methods, including the fingerprinting method and the dead reckoning method, which are methods that will be analyzed in comparison between the two methods by testing their performance or accuracy, the advantages and disadvantages of each method and providing recommendations for the use of the appropriate method. appropriate in certain situations. Where Fingerprinting is more accurate in situations with lots of obstructions and high signal density, while dead reckoning is more suitable for use in situations with lots of movement and few obstructions.
Prototype Alat Pendeteksi & Pengukur Kebocoran Gas Berbasis IoT Lontaan, Rolly Junius
TeIKa Vol 15 No 1 (2025): TEIKA - April 2025
Publisher : Fakultas Teknologi Informasi - Universitas Advent Indonesia

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

Abstract

The widespread use of LPG gas in households and industries poses a leakage risk that can potentially cause fires. This study aims to develop a prototype of an IoT-based gas leakage detection and measurement device, enabling remote monitoring via the Telegram application. The research methodology includes needs analysis, hardware and software design, system implementation, testing, and evaluation. The results indicate that the developed system, utilizing the MQ2 sensor and NodeMCU, can accurately detect gas leaks and send real-time notifications to users. This system provides an effective early warning, enhances user safety, and overcomes the limitations of the human sense of smell in detecting gas leaks.