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

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Aplikasi System Presensi Mahasiswa Dengan Menggunakan Barcode Pada Laboratorium Fakultas Ilmu Komputer UMI Fadli Tamrin
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

Absence of Student of Faculty Computer Science specially at Laboratory still using of manual absence on that account to facilitate the dosen and assistant lab call the roll the student hence writer make the system of absence of using barcode. Writer make the absence program by using Ianguage of pemrograman borland delphi, database Mysql and appliance of scan barkode. With the existence of the absence appliance presumably can assist the job of dosen and assistant lab in calling the roll incoming student, this absence system beryl can summarize the student data in bracket certain time. madely of absence system use this barcode, writer expect this system can assist the process school activity specially student absenc
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 asrul, Fadli Tamrin