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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Ensiklopedia of Journal
Aris Budiyarto
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Arts Humanities Computer Science & IT Law, Crime, Criminology & Criminal Justice Social Sciences Other

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ROBOT PENDETEKSI GAS BERACUN DENGAN MENGGUNAKAN METODE MULTI LAYER PERCEPTRON Gun Gun Maulana; Aris Budiyarto; Vera Suryani
Ensiklopedia of Journal Vol 2, No 2 (2020): Vol 2 No 2 Edisi 2 Januari 2020
Publisher : Lembaga Penelitian dan Penerbitan Hasil Penelitian Ensiklopedia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.717 KB) | DOI: 10.33559/eoj.v2i2.411

Abstract

At present, there are a lot of harmful gases in the environment around us, especially in the industrial environment, such as radiological materials and toxic gases that can pollute the environment. Generally, gases can spread due to leakage. The gas leak was caused by several factors, such as mining accidents, war, and manufacturing accidents. Gas leakage incidents can cause huge losses to society and industry, both injury and financial problems. To reduce this risk we try to propose a toxic gas detection system with two modules used in running this system: (1) navigation module and (2) gas detection module. The navigation module is designed with a program to explore a room with a certain pattern. For movement and data collection will be carried out by the Microsoft Visual Studio interface software. The detection module is designed with Multi Layer Perceptron (MLP) artificial intelligence using the Back Propagation method which is directly applied to the robot, so that the robot is able to accurately and quickly identify gas obtained from the TGS sensor output. The sensors used are TGS 2602 for ammonia (NH3), TGS 2600 for carbon monoxide (CO), TGS 2610 for butane (C4H10), and TGS 2612 for methane (CH4). For this reason, this research is expected to implement electronic nose on mobile robots using the Multi Layer Perceptron method to effectively detect, identify, and confirm that dangerous gas sources have been found without direct human interaction
PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI PERINGATAN DAN PELAPORAN (SIPDA) BERBASIS WEBSITE DI KOTA BANDUNG Aris Budiyarto; Tamara Maharani Siswadhi; Bella Firdha Azkia
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 No. 03, September 2026 Release
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.58903

Abstract

Delays in receiving information from disaster warning systems that still rely on traditional and manual methods are one of the factors contributing to low community preparedness in the face of potential threats. To address this issue, this study designed and developed a web-based Warning Disaster Information System (SIPDA) using the Laravel framework, capable of delivering notifications quickly, accurately, and in an easily accessible manner. The system was developed using a Research and Development (R&D) approach covering data collection, planning, design, implementation, testing, and evaluation stages. It is equipped with a real-time monitoring dashboard, an interactive Leaflet.js-based map, a community reporting feature, a handling-priority mechanism based on status and severity level, and automatic notifications. Black box testing on 29 functional scenarios and user acceptance testing (UAT) on 15 scenarios both achieved a 100% success rate, indicating that SIPDA is feasible to be implemented as an efficient digital mitigation tool to enhance community preparedness in Bandung City.
Co-Authors Bella Firdha Azkia Gun Gun Maulana Tamara Maharani Siswadhi Vera Suryani