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All Journal ASEAN Journal of Systems Engineering Jurnal Rekayasa Mesin Jurnal Otomasi Kontrol dan Instrumentasi PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat KURVATEK Scientific Journal of Mechanical Engineering Kinematika Jurnal Difusi Industrial Research Workshop and National Seminar Komposit : Jurnal Pengabdian Dan Pemberdayaan Masyarakat Jurnal Polimesin
Muhammad Arman
Politeknik Negeri Bandung
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Prototipe Alat Monitoring Suhu dan Sistem Kontrol pada Trainer Refrigerasi Berbasis Raspberry Pi 3 B+ Arman, Muhammad; Ayu, Wirenda Sekar; Sugiyarto, Sugiyarto; Pratikto, Pratikto; Hakim, Kamal Amrizal; Sandra, Dinara Safina; Syarief, Eliana
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 1 (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.2024.16.1.1

Abstract

A refrigeration trainer is a working model of an existing system intended to support student learning in the characterization of refrigeration systems, especially their temperature profile. There are many ways to monitor temperature in refrigeration trainers, such as by implementing a temperature monitoring and control system based on Raspberry Pi 3 B +. This project uses the DS18B20 sensor and Raspberry Pi 3 B+ microprocessor. This system has various features such as temperature monitoring, on/off control for fans and compressors, online and offline data storage, and remote control. After 4 hours of testing, the prototype looked stable without any sudden increase or decrease in temperature values for all measurement point parameters. In addition, the error percentage value which is less than 10% shows that the DS18B20 temperature sensor used provides the best accuracy value and is considered adequate for this prototype.
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.
Rancang Bangun Sistem Monitoring Temperatur Dan Kelembapan Berbasis Internet of Things Untuk Rantai Dingin Penyimpanan Vaksin Adilah, Utami Nuri; Hendrawan , Aurellia; Arman, Muhammad; Khakim , Nur; Aziz, Rofan
Jurnal Otomasi Kontrol dan Instrumentasi Vol 17 No 2 (2025): 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.2025.17.2.5

Abstract

Temperature and humidity monitoring are important aspects of the cold chain vaccine storage system for preserving quality. Manual temperature recording risks missing readings, which compromise the vaccine quality. Excessive humidity may cause condensation on packaging, while very low humidity can reduce the stability of certain vaccines. This research aimed to design and build an Internet of Things (IoT) monitoring system with real-time notifications and website integration to support the vaccine storage cold chain system. The system used an ESP32 microcontroller, an SHT31 sensor, and dual storage (Firebase and SD Card). Development utilized Arduino IDE, Next.js framework, Telegram bot, Firebase, and Visual Studio Code editor. Tests included accuracy measurement, received signal strength indicator (RSSI) measurement, notification and data monitoring for several days. Performance was tested in Bio Farma's cold room, freezer, and walk-in cooler at Politeknik Negeri Bandung to represent various vaccine storage conditions. The results show that the system records data in real-time with a high level of accuracy (temperature error <1%, RH ±15%), low data loss (6 out of 426 data in 10 days), and operating endurance of ±3 hours. Tests proved the system to be an accurate, automated monitoring system for the cold chain vaccine storage.
UNJUK KERJA PERFORMA SISTEM MONITORING KONSENTRASI PM1, PM2.5, PM10, CO DAN CO2 DI DALAM RUANGAN BERBASIS INTERNET OF THINGS (IOT) Muhamad Anda Falahuddin; Wirenda Sekar Ayu; Muhammad Arman; 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
Co-Authors Achmad Noerkhaerin Putra Agus Prasetya Akbar, Anas Akmal Indra Andriyanto Setyawan Anggita, Anggita Angin, Ranufani Mahameru Timur Ary Surjanto Azizah, Putri Ismi Badarudin, Apip bin Sukri, Mohamad Firdaus Cetta, Elang Mahidara Custer, Johny Darmawan, Gio Putra Efendi, Raka Muhamad Faisal Ananda Falahuddin, Muhammad Anda Farash Arya Pratama Fathurrohman, Azmi Muhammad Hakim, Kamal Amrizal Hedi Hedi, Hedi Hendrawan , Aurellia Hidayatulloh, Zulvi Alfiqri Kasni Sumeru Khakim , Nur KURNIASETIAWATI, ANNISA Luga Martin Simbolon Lukitobudi, Arda Rahardja Milla Marlina Assegaf Mitrakusuma, Windy Hermawan Muhamad Anda Falahuddin Muhammad Akmal Muhammad Rasyid Ali Muhammad Rusdi dan Afritha Amelia - Nanda, Rizki Raihan Nani Yuningsih, Nani Nuriyadi, Muhammad Nurul Fahmi Pascal Thirofy Surya Pramudantoro, Triaji Pangripto Prasetyo, Adam Imam Prasetyo, Bowo Yuli Pratama, Ryandi Ananda Pratikto Pratikto Puloh, Asep Ranufani Mahameru Timur Angin Rofan Aziz Rosulindo, Parisya Premiera Sandra, Dinara Safina Setyawan, Adriyanto Sihana - Simbolon, Luga Martin Siti Rohani Sugiyarto Sugiyarto Sumeru, Sumeru Susilawati Susilawati Susilawati, Susilawati Syarief, Eliana Utami Nuri Adilah Wellid, Ismail Wirenda Sekar Ayu Zaidi Bin Othman