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All Journal Ceddi Journal of Information System and Technology (JST) JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Najmawati Najmawati
Universitas Tomakaka Mamuju
Computer Science & IT Decision Sciences, Operations Research & Management

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Sistem Informasi Pendataan Masyarakat Tidak Mampu Pada Kelurahan Binanga Mamuju Berbasis Website Zulkifli Zulkifli; Musliadi KH; Ansar Ansar; Sumarlina Sumarlina; Najmawati Najmawati
Journal of Digital Ecosystem for Natural Sustainability Vol 6 No 1 (2026): Juli 2026
Publisher : LPPM - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v6i1.312

Abstract

The data collection process for underprivileged communities in Binanga Village, Mamuju Regency, was previously conducted conventionally using Microsoft Excel, Microsoft Word, and physical archives. This manual method was inefficient and highly susceptible to the loss of critical documents due to the absence of an integrated database system. This study aims to design and develop a web-based information system for underwriting underprivileged communities that can be accessed online from anywhere. The software development lifecycle (SDLC) employed is the Waterfall model, which encompasses the stages of requirements analysis, system design, implementation, and testing. The system was developed using Visual Studio Code as the source code editor, utilizing PHP, HTML, CSS, and JavaScript programming languages, alongside a MySQL database. The testing results demonstrate that the application operates in accordance with the initial design and functions optimally. The implementation of this information system significantly streamlines the data entry tasks for village officials while ensuring secure data storage within the system database.
Internet of Things (IoT) Based Air Pollution Detector for Baby Rooms Najmawatih; Imran Taufik; Supriadi; Anders Christensen
Ceddi Journal of Information System and Technology Vol. 4 No. 1 (2025): April
Publisher : Yayasan Cendekiawan Inovasi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v4i1.111

Abstract

Indoor air pollution is a leading cause of respiratory illnesses in infants and children, potentially resulting in severe health outcomes, including death. Common sources include dust, cigarette smoke, cleaning chemicals, and hazardous gases such as carbon monoxide (CO) and nitrogen dioxide (NO₂), particularly in enclosed, air-conditioned (AC) environments. Due to the difficulty of detecting pollutants like fine particulate matter (PM2.5) and CO, an effective, real-time monitoring solution is crucial. This study aims to design and develop an Internet of Things (IoT)-based device capable of monitoring PM2.5, CO, temperature, and humidity, specifically in infant rooms. The system integrates an ESP32 microcontroller with DSM501a, MQ-7, and DHT22 sensors and features automated alerts via a Telegram bot when pollutant levels exceed predefined thresholds. The device was evaluated through a comparative 24/7 testing method over seven days against commercially available standard instruments. Results show a relative error of 25% for PM2.5, 30% for CO, and significantly lower errors for temperature (2%) and humidity (0%). Sensor data is processed and transmitted to the Thingspeak server for real-time graphical monitoring. The Telegram alert feature demonstrated an average response time of 1.84 seconds across 20 tests. The findings suggest that the proposed device offers a viable, accessible, and responsive solution for indoor pollutant detection, contributing to improved air quality monitoring and early warning systems to protect vulnerable populations, especially infants.
Co-Authors Anders Christensen Ansar Ansar Imran Taufik Musliadi K H Sumarlina Sumarlina Supriadi Zulkifli Zulkifli