Perancangan Sistem Monitoring Getaran pada Mesin Diesel Berbasis Digital Twin

Thaariq, Muhammad Rizki Alfa (2026) Perancangan Sistem Monitoring Getaran pada Mesin Diesel Berbasis Digital Twin. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kegagalan mesin diesel yang tidak terdeteksi secara dini dapat menyebabkan penurunan kinerja, peningkatan biaya perawatan, serta potensi kerusakan yang lebih serius. Oleh karena itu, diperlukan suatu sistem pemantauan kondisi mesin yang mampu melakukan deteksi awal secara real-time. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem monitoring getaran mesin diesel berbasis konsep Digital Twin dengan memanfaatkan vibration monitoring sensor, Single Board Computer (SBC) Raspberry Pi, dan platform website . Sensor getaran dipasang pada mesin diesel untuk mengakuisisi sinyal getaran yang merepresentasikan kondisi mekanis mesin. Data getaran yang diperoleh kemudian diproses oleh Single Board Computer sebagai unit pemrosesan awal sebelum dikirimkan ke platform berbasis website melalui jaringan Internet of Things (IoT). Platform website berfungsi sebagai media visualisasi dan monitoring kondisi mesin secara real-time dalam bentuk grafik dan nilai numerik. Selain itu, sistem ini dilengkapi dengan mekanisme alarm berbasis ambang batas getaran, di mana lampu hijau menunjukkan kondisi mesin normal dan lampu merah menunjukkan kondisi getaran melebihi batas yang diizinkan. Integrasi antara sistem fisik dan sistem digital ini memungkinkan terbentuknya representasi virtual dari kondisi mesin yang diperbarui secara kontinu. Hasil perancangan menunjukkan bahwa sistem mampu memantau kondisi getaran mesin secara real-time dan memberikan peringatan dini terhadap potensi gangguan, sehingga mendukung penerapan pemeliharaan berbasis kondisi (condition monitoring) yang lebih efektif dan efisien.
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Undetected diesel engine failures can lead to decreased performance, increased maintenance costs, and potentially more serious damage. Therefore, a condition monitoring system capable of real-time early detection is needed. This study aims to design and implement a diesel engine vibration monitoring system based on the Digital Twin concept by utilizing vibration monitoring sensors, a Raspberry Pi Single Board Computer (SBC), and a website platform. Vibration sensors are installed on diesel engines to acquire vibration signals that represent the mechanical condition of the engine. The vibration data obtained is then processed by the Single Board Computer as an initial processing unit before being sent to a website -based platform via the Internet of Things (IoT) network. The website platform serves as a medium for real-time visualization and monitoring of engine conditions in the form of graphs and numerical values. Additionally, this system is equipped with a vibration Threshold-based alarm mechanism, where a green light indicates normal engine conditions and a red light indicates vibration exceeding the permitted limit. The integration between physical and digital systems enables the creation of a virtual representation of the machine's condition that is continuously updated. The results of the design show that the system is capable of monitoring the machine's vibration condition in real Time and providing early warnings of potential malfunctions, thereby supporting the implementation of more effective and efficient condition-based maintenance.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Diesel Engine, Digital Twin, Monitoring, Vibration Digital Twin, Getaran, Mesin Diesel, Monitoring
Subjects:	T Technology > T Technology (General) > T385 Visualization--Technique T Technology > T Technology (General) > T55 Industrial Safety T Technology > T Technology (General) > T57.5 Data Processing T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ799 Diesel motor--Electronic control. V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering > VM731 Marine Engines
Divisions:	Faculty of Marine Technology (MARTECH) > Marine Engineering > 36202-(S1) Undergraduate Thesis
Depositing User:	Muhammad Rizki Alfa Thaariq
Date Deposited:	01 Aug 2026 04:16
Last Modified:	01 Aug 2026 04:16
URI:	http://repository.its.ac.id/id/eprint/141475

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