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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Journal of Engineering Science and Technology Management Jurnal Industri Furnitur dan Pengolahan Kayu Integrasi: Jurnal Ilmiah Teknik Industri
Nugroho, Alfani Risman
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Journal : Journal of Engineering Science and Technology Management

 1 
Stability Testing of an Air Quality Monitoring System for Particulate Matter (PM2.5 and PM10) Based on The SEN0233 Sensor Afifah, Anshah Silmi; Nugroho, Alfani Risman; Widiyanto, Wahyu; Haryati, Putri Dwi; Syah, Edo Ardiyan
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 1 (2025): Maret 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i1.205

Abstract

Particulate Matter (PM) is an air pollutant that has the potential to pose serious health risks to the public, including respiratory and cardiovascular diseases. This study aims to design and develop a real-time monitoring system for PM2.5 and PM10 using the SEN0233 sensor. This system is expected to be able to provide accurate data on the concentration of particles in the air. The research methodology includes selecting the right sensor, designing a NodeMCU microcontroller-based system, and testing the sensor to ensure measurement accuracy. The collected data will be stored in a database and can be accessed through a web interface, allowing users to monitor air quality directly. Initial test results show that the SEN0233 sensor is able to detect PM2.5 and PM10 concentrations well. This research contributes to the development of a more efficient and reliable monitoring system, to improve air quality and overall public health.
Optimization of Wood Waste Utilization for Sustainable Material Processing in the Furniture Industry Afifah, Anshah Silmi; Nugroho, Alfani Risman; Nurmadina, Nurmadina; Fitriyanto, Taufik Ramadhan; Juwitasari, Dhian
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i2.266

Abstract

This study aims to identify and quantify wood waste produced during the machining of solid wood components using kiln dried Durio zibethinus boards. A descriptive quantitative approach was employed to measure the volume and weight of waste generated at each production stage, including ripping, crosscutting, planing, and thicknessing. Sampling was conducted using a precision digital scale to collect and compare the actual and theoretical waste. The results indicate that only 43% of the raw material volume was utilized in finished components, while 57% was lost as waste, primarily in the form of sawdust, shavings, and offcuts. The thicknesser contributed the largest proportion of waste (58%), followed by the ripsaw (21%), single planer (20%), and jumpsaw (1%). These findings highlight the need for improved raw material selection, more efficient cutting list design, enhanced nesting strategies, and better machine calibration. Implementing these practices can reduce wood waste, improve material efficiency, and minimize occupational exposure to wood dust in furniture manufacturing
Co-Authors Anggiriani, Siska Anshah Silmi Afifah Bahtiar Rahmat Fitrianto, Taufik Ramadhan Fitriyanto, Taufik Ramadhan Galih Prakoso, Galih Haryati, Putri Dwi Juwitasari, Dhian Larasati, Nur Afina Julia Nurmadina, Nurmadina Retno Widiastuti Syah, Edo Ardiyan Wahyu Widiyanto