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All Journal Journal of Engineering and Management in Industrial System Program Kreativitas Mahasiswa - Karsa Cipta INTEK: Jurnal Penelitian MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) JEAT : Journal of Electrical and Automation Technology Majalah Teknik Industri
Muhammad Fadli Azis
Politeknik ATI Makassar
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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PROTOTYPING AN IOT-BASED SMART FACTORY SYSTEM FOR LEAN TPS EDUCATION AND SME APPLICATIONS Andi Nurwahidah; Ramadhan, Della Ginza; Lutfi; Azis, Muhammad Fadli; Indah, Andi Besse Riyani
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

The Production System Laboratory hosts hands-on TPS sessions. Yet, despite efforts to digitize the session experience, until they are recorded it's impossible for us to view adequately what's occurring at workstations.On the other hand, this research project uses the smart factory prototype which is based on the Internet of Things (IoT) to realize the sights and control of production processes. Using MQTT, Node-RED and MySQL, real time production data is captured and can be displayed in this prototype system.Tests of this system were carried out in four TPS work stations. These results show that on average it took 3000 ms to process the data, with an accuracy rate of 99% for recorded production data, and less than one second delay when data was visualized. Moreover, the introduction of this system turned around accrued writing mistakes on WIP tracking by 99 % and shortened it time for recording by up to 90%. The final overall results indicated that the system improved lean-based lab components operations substantially and has potential to be used by small to medium enterprise enterprises (SMEs) looking for economical ways to increase production and process visualization.
Co-Authors Amin Kurniadi Amiruddin, Muh. Syaftar Andi Nurwahidah Asbar, Muhammad Azis, Nuritasari Della Ginza Ramadhan Djabir, St. Nurhayati Dzul Nizhar, Muhammad Habibuddin, Julianti Indah, Andi Besse Riyani Jayawarsa, A.A. Ketut Julianti Habibuddin Julianti Habibuddin Lutfi Merla Madjid Muh. Rivaldi Sasmita Muhammad Adhijaya Saputra, Muhammad Adhijaya Mutmainnah Rizal, Muh Rizman Sitti Wetenriajeng Sidehabi Taufik Muchtar Wahidah