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Pengaruh Metode Penyayatan dan Kedalaman Penyayatan terhadap Dimensi dan Kekasaran Permukaan Kayu Olahan Rahmat, Bahtiar; Purwanto, Agung Ari; Fahrudin, Muhammad; Widiyanto, Wahyu
Infotekmesin Vol 16 No 1 (2025): Infotekmesin: Januari 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i1.2537

Abstract

The application of CNC technology in the furniture industry has already become familiar, in addition to its use in the metal and plastic industries. HMR (High Moisture Resistant) panels, which had better moisture resistance than MDF (Medium Density Fiberboard), had also started to develop. However, few studies have investigated the effects of variations in machining parameters on the cutting quality of HMR boards. This study aimed to test the effects of machining parameters (cutting method and cutting depth) on the dimensions and surface roughness of the workpiece. Four schemes of machining parameter settings, namely conventional and climb methods with cutting depths of 2 mm and 4 mm, respectively, were performed with three repetitions each. After testing, it was found that the cutting method, cutting depth, and the interaction between the cutting method and cutting depth had not significantly affected the length and width dimensions of the specimen. However, the cutting method significantly influenced the final surface roughness of the specimen. The conventional cutting method with a cutting depth of 2 mm produced the best surface roughness, measuring 26.47 µm.
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.