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All Journal Celebes Computer Science Journal Ceddi Journal of Information System and Technology (JST)
asrul, Fadli Tamrin
STMIK AKBA
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Perancangan Sistem Pakar Diagnosa Penyakit Meningitis Menggunakan Metode Forward Chaining asrul asrul
Celebes Computer Science Journal Vol 2 No 2 (2020): Celebes Computer Science Journal
Publisher : LLDikti Wilayah IX Sulawesi dan Gorontalo

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Abstract

This study aims to design an expert system for diagnosing meningitis using the forward chaining method at Makassar Daya Hospital which seeks to adopt human knowledge to computers, so that computers can solve problems as is usually done by special meningitis experts. This type of research uses the forward chaining method as a tool to detect early suspected meningitis (inflammation of the lining of the brain) and how to prevent it. This system is tested using white-box testing to ensure that the system is free from logical errors and its validity is guaranteed. The product produced from this study is an expert system that can handle patients easily and quickly so that the resulting service is better.
Integration of Wifi and Mobile Communications in Fire Early Warning Data Sending in Home Based on The Internet of Things Fadli Tamrin; Asrul Asrul; arman arman
Ceddi Journal of Information System and Technology (JST) Vol. 1 No. 1 (2022): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.131 KB) | DOI: 10.56134/jst.v1i1.1

Abstract

House fires are one of the disasters that are often encountered in the community, especially when the area is a dry geographical area. Not to mention the catastrophic house fires that took the most lives and losses for homeowners. The purpose of this research is how to build a disaster early warning system by utilizing the integration of wifi and cellular communications. In this study using blackbox testing and hardware testing methods as well as several tools such as Arduino Mega2560, ESP32, DHT-22, MQ-2, LDR Array, SIM900, Pump Mini DC and Fan Mini DC. After the results of the system design, where the system works with online and offline conditions and as well as each sensor works according to the input conditions of fire, gas and smoke. In addition, this device can help the community in avoiding fires for both home and industrial fires. This device will make everyone feel safe because it can detect a fire.
Co-Authors arman arman Fadli Tamrin