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INOVASI DIGITAL DALAM PENGELOLAAN PIUTANG PADA UMKM UNTUK MENINGKATKAN PRODUKTIVITAS DAN KEBERLANJUTAN KEUANGAN Iryanie, Emy; Heldalina, Heldalina; Fitria, Fitria
ANALISIS Vol. 14 No. 2 (2024): ANALISIS VOL. 14 NO. 02 TAHUN 2024
Publisher : FACULTY OF ECONOMICS AND BUSINESS FLORES UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/als.v14i2.4587

Abstract

According to data from the Ministry of Cooperation and SMEs, there will be 65.4 million UMKM in Indonesia in 2019, which can absorb a total of 123.3 thousand workers from the enterprise unit. This shows that UMKM has a major impact on the reduction in the unemployment rate in Indonesia. On the other hand, current technological developments can also be a booster for activity in the field of UMKM. In their business activities, many UMKMs conduct transactions and financial recording manually, which, of course, has the potential for mismatches in the recording and is considered less effective. Therefore, with the qualitative method and data analysis with one of the models of system development, namely waterfall, the author conducted this research and obtained results in line with the previous research that the presence of an account receivable management information system can help the management carry out account receivable recording procedures well, fast, and efficiently, so that it is expected to increase productivity and sustainability of the enterprise and can easily do account receivable administration
IoT-Based Cigarette Smoke Monitoring System Using MQ135 Gas Sensor Fitria, Fitria; Khalid, Anhar; Iryanie, Emy; Heldalina, Heldalina
Formosa Journal of Computer and Information Science Vol. 4 No. 2 (2025): August 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjcis.v4i2.15751

Abstract

This study develops an Internet of Things (IoT)-based monitoring system to detect cigarette smoke using the MQ135 gas sensor. Cigarette smoke is a major contributor to indoor air pollution and contains harmful chemical compounds that pose health risks to both active and passive smokers. The system integrates the MQ135 sensor with the NodeMCU ESP8266 microcontroller to collect air quality data and transmit it to an IoT platform for real-time monitoring. Testing results show that the MQ135 sensor responds quickly to changes in air quality, with PPM values increasing significantly when exposed to cigarette smoke compared to normal conditions. Data are displayed through a cloud-based dashboard and notification alerts are sent when pollutant levels exceed a predefined threshold. The findings indicate that the proposed system operates reliably and effectively, making it suitable for indoor environments to support smoke-free areas and improve air quality monitoring practices.