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Experimental Investigation on PM10 and PM2.5 Concentrations in North Bandung Wellid, Ismail; Nurfitriani, Nita; Falahuddin, Muhamad Anda; Simbolon, Luga Martin; Sunardi, Cecep; Nuryati, Neneng; bin Sukri, Mohamad Firdaus
Jurnal Internasional Penelitian Teknologi Terapan Vol 4 No 2 (2023): October 2023
Publisher : Bandung State Polytechnic (Politeknik Negeri Bandung)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/ijatr.v4i2.124

Abstract

North Bandung is an area where there are several tourist attractions, including the Dago Dream Park. The main road to several locations in North Bandung is via the road in front of Terminal Dago. For this reason, the purpose of this study was to collect data on PM2.5 and PM10 concentrations at both locations, namely in front of Terminal Dago and Dago Dream Park. Data collection was carried out for seven days, from Monday to Sunday, from 08.00 to 16.00 local time. To evaluate air quality in these two places, the national standard, namely PPRI No. 22 of 2021 and international standards from WHO were applied. The measurement results show that the concentrations of PM2.5 and PM10 in these two locations are still within the national standard. Meanwhile, when evaluated with WHO standards, PM10 concentrations in both locations are still within standard, but for PM2.5, there are several days where the air quality is out of the standard. The average concentrations of PM2.5 and PM10 during the 7 days of measurement at Terminal Dago are 19.9 μg/m3 and 21.6 μg/m3, respectively. While the average concentration of PM2.5 and PM10 during 1 week of data collection were 18.9 μg/m3 and 19.9 μg/m3, respectively. This means that the concentration of PM2.5 and PM10 at Terminal Dago is slightly higher than that of at Dago Dream Park. In addition, based on an evaluation using national standards, Dago Dream Park tourist attractions still have good air quality and are safe for local residents and tourists. From the data recorded at the Health Centre (Puskesmas), the number of ARI cases in the two locations in 2020 and 2021 is relatively not much different.
UNJUK KERJA PERFORMA SISTEM MONITORING KONSENTRASI PM1, PM2.5, PM10, CO DAN CO2 DI DALAM RUANGAN BERBASIS INTERNET OF THINGS (IOT) Falahuddin, Muhamad Anda; Ayu, Wirenda Sekar; Arman, Muhammad; Susilawati
Scientific Journal of Mechanical Engineering Kinematika Vol 10 No 2 (2025): SJME Kinematika Desember 2025
Publisher : Mechanical Engineering Department, Faculty of Engineering, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/sjmekinematika.v10i2.443

Abstract

This research aims to develop an indoor air quality monitoring device that includes particulate matter (PM1, PM2.5, PM10), carbon monoxide (CO), and carbon dioxide (CO2) based on the Internet of Things (IoT). The device is designed to detect particle and gas concentrations accurately and in real-time, thereby helping users improve indoor air quality. The research method involves developing the device design using particulate matter sensors PMS5003, gas sensors MQ-7 and MH-Z19, temperature and humidity sensors DHT11, and ESP8266 microcontroller to process data. The data from sensor measurements are displayed visually using graphs on the ThingSpeak dashboard. The results show that the developed monitoring device can detect particle and gas concentrations with measurement deviation percentages of 16.34% (PM2.5), 7.71% (PM10), 24.90% (CO2), 3.40% (temperature), and 5.67% (humidity). Meanwhile, for CO gas measurement, further calibration of the used sensor is required
Rancang Bangun Sistem Kontrol Suhu Presisi Berbasis Arduino Uno dengan Inverter pada Cold Handling Unit Muhamad Algi Fauza; Muhamad Anda Falahuddin; Bowo Yuli Prasetyo; Listya Utari
Prosiding Industrial Research Workshop and National Seminar Vol. 16 No. 1 (2025): Vol. 16 No. 1 (2025): Prosiding 16th Industrial Research Workshop and National
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/irwns.v16i1.6646

Abstract

Cold Handling Unit (CHU) berperan penting dalam menjaga kestabilan suhu untuk kebutuhan penyimpanan bahan yang sensitif terhadap perubahan suhu. Permasalahan yang sering terjadi adalah kurang presisinya pengendalian suhu, serta kerusakan komponen seperti kompresor akibat pengaturan sistem yang tidak optimal. Penelitian ini bertujuan merancang dan membangun sistem kontrol suhu presisi berbasis Arduino Uno yang terintegrasi dengan inverter untuk mengatur kecepatan kerja kompresor pada CHU. Langkah penelitian yang digunakan meliputi perancangan perangkat keras dan lunak, pemrograman Arduino Uno sebagai kontrol utama, serta pengujian sistem terhadap berbagai skenario perubahan suhu. Sistem ini menggunakan sensor suhu (DHT22), Arduino Uno sebagai pengendali, dan inverter untuk mengatur putaran kompresor secara variabel. Hasil penelitian menunjukkan bahwa sistem mampu mempertahankan suhu pada setpoint dengan deviasi maksimum ±1°C dan menurunkan frekuensi short cycling dibanding sistem konvensional. Selain itu, sistem juga menunjukkan efisiensi energi yang lebih baik dengan operasi kompresor yang lebih stabil. Penggunaan Arduino Uno dengan inverter sebagai sistem kontrol pada CHU terbukti dapat meningkatkan kinerja dan keandalan unit secara signifikan.
Kaji Eksperimen Kenyamanan Termal dan Visual pada Ruang Kelas LG 01 Jurusan Teknik Refrigerasi dan Tata Udara Politeknik Negeri Bandung Raditya Yogaswara; Ary Surjanto; Muhamad Anda Falahuddin; Neneng Nuryati
Prosiding Industrial Research Workshop and National Seminar Vol. 16 No. 1 (2025): Vol. 16 No. 1 (2025): Prosiding 16th Industrial Research Workshop and National
Publisher : Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/irwns.v16i1.6687

Abstract

Kenyamanan termal dan visual merupakan aspek yang perlu diperhitungkan dalam pengaturan lingkungan ruang kelas untuk mendukung efektivitas kegiatan belajar mengajar. Penelitian ini bertujuan untuk mengetahui tingkat kenyamanan termal dan visual pada ruang kelas LG 01 Jurusan Teknik Refrigerasi dan Tata Udara Politeknik Negeri Bandung yang digunakan untuk perkuliahan, serta membandingkannya dengan standar baku. Metode penelitian menggunakan metode kuantitatif berupa pengukuran secara in-situ dan pendekatan kualitatif berupa penyebaran kuesioner kepada responden. Hasil penelitian menunjukkan bahwa pada siang dan sore hari ruang kelas tersebut sudah memenuhi standar kenyamanan termal yang ditetapkan, dengan nilai PMV (Predicted Mean Vote) didominasi pada rentang -0.5 hingga +0.5, dan PPD (Percentage Person Dissatisfied) berada pada rentang 1-10%. Hasil dari pengambilan data kenyamanan visual pada Ruang Kelas LG 01 belum memenuhi SNI 6197-2020 yang menyebutkan tingkat pencahayaan sebesar 250 Lux untuk ruang kelas. Namun hasil kuesioner menunjukkan dominasi kepuasan responden terhadap kondisi kenyamanan termal dan visual.
Rancang Bangun Particle Counter untuk Monitoring Konsentrasi PM1, PM2.5 dan PM10 di Udara Berbasis IoT Falahuddin, Muhamad Anda; Puloh, Asep; Sumeru, Sumeru; Arman, Muhammad; Ayu, Wirenda Sekar; Susilawati, Susilawati
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 2 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.2.3

Abstract

Poor air quality is a serious health and environmental issue. Microscopic particles such as PM1, PM2.5, and PM10 cause respiratory disorders and other health problems. Therefore, accurate and continuous air quality monitoring is crucial to mitigate the impacts of air pollution. This research aims to design an Internet of Things (IoT)--based particle counter capable of real-time air quality monitoring and reporting via an online platform. The system utilizes a PMS5003 sensor to measure PM1, PM2.5, and PM10 concentrations precisely. Data from the sensor is processed by an ESP8266 microcontroller connected to the internet, enabling direct data transmission to an online platform for further analysis and visualization. Testing is done by creating a 1x1x1 meter testing chamber to simulate various environmental conditions and validate the device's performance. Results show that the particle counter provides accurate data, with an error rate of less than 10% compared to standard devices. The device demonstrates reliable operation across different environmental conditions, showcasing its robustness in practical applications. This IoT-based particle counter offers an innovative solution for effective and efficient air quality monitoring. It is expected to significantly contribute to human health protection efforts and minimize the adverse environmental impacts of air pollution.