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IMPLEMENTATION OF A WEB-BASED REAL-TIME MONITORING SYSTEM FOR VIBRATION, TEMPERATURE, AND NOISE OF REFRIGERATION MACHINES WITH MICROCONTROL Abrori, M. Zaki Latif; Demeianto, Bobby; Idrus, Muhamad Amril; Marsono, Marsono; Arafat, Yasser; Hermawan, Ade; Nurita, Yani
Aurelia Journal Vol 7, No 2 (2025): October
Publisher : Politeknik Kelautan dan Perikanan Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/aj.v7i2.18186

Abstract

Real-time monitoring of vibration, temperature, and noise in refrigeration machines using microcontrollers is still rarely discussed, although it plays a crucial role in maintaining machine performance and supporting decision-making for predictive maintenance. This research aims to design and implement a microcontroller-based monitoring system capable of measuring and recording machine operational parameters in real-time with adequate accuracy. The system uses an accelerometer sensor for vibration detection, an infrared thermometer for temperature measurement, and an electret microphone for noise monitoring. The data is processed by a microcontroller equipped with an SD card module for storage and a WiFi connection for remote access via the web. The test results show that this device can detect changes in vibration with an Mean Absolute Error value of 0.34 m/s², temperature with a Mean Absolute Percentage Error value of 1.35%, and provides real-time data that can be accessed wirelessly through other devices connected to the WiFi network. The contribution of this research lies in providing a monitoring solution that improves operational efficiency, minimizes the risk of downtime, and supports the optimal management and maintenance of refrigeration machines. 
Design and Implementation of Real-Time Diesel Engine Operational Monitoring Devices Based on Microcontrollers M. Zaki Latif Abrori; J. Preston Siahaan; Rizqi Ilmal yaqin; Bobby Demeianto; Mula Tumpu; Darmawan Darmawan
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.9739

Abstract

Monitoring of diesel engine operational performance on fishing vessels recorded in real time based on microcontrollers is still rarely used. Monitoring of diesel engine operations is important to ensure the engine is in optimal performance as well as a consideration for predictive maintenance actions. This study aims to design and implement a real-time monitoring device based on microcontrollers. This device can measure and record RPM, temperature, and pressure data on diesel engines with good accuracy. Hall effect sensors for RPM, DS18B20 for temperature, and piezoresistive sensors for pressure are used, to maintain the right time it is equipped with RTC, SD card module for data storage, and Wi-Fi module for data access via the web. The test results show that this device is able to measure with good accuracy on each parameter with an average error of below 2%. When the operational parameters exceed the predetermined threshold, the device successfully gives an alarm as a critical sign. This study makes a significant contribution to the management and maintenance of diesel engines with real-time data and wireless access that increases efficiency and minimizes downtime due to operational failures
The ANALISIS HUMAN ERROR PADA PENGOPERASIAN MESIN PENGGERAK KAPAL PENANGKAP IKAN DI BITUNG SULAWESI UTARA Demeianto, Bobby; Siahaan, Juniawan Preston; Priharanto, Yuniar E.; Yaqin, Rizqi Ilmal; Tumpu, Mula; Faqih, M. Bil; Pujianto, Andreas; Nurfauzi, Akhmad; Abrori, Muhammad Zaki Latif
Coastal and Ocean Journal (COJ) Vol 7 No 2 (2023): COJ (Coastal and Ocean Journal)
Publisher : Pusat Kajian Sumberdaya Pesisir dan Lautan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/coj.v7i2.50284

Abstract

Pengoperasian mesin penggerak kapal cukup kompleks, memerlukan keahlian dan keterampilan yang layak untuk dapat mengoperasikan mesin. banyaknya kesalahan dalam mengoperasikan mesin merupakan hal yang mungkin terjadi. Tujuan penelitian ini menganalisis terjadinya kesalahan mengoperasikan mesin penggerak kapal yang disebabkan oleh human eror. Untuk mendapatkan hasil yang valid, pengamatan kru ketika mengoperasikan mesin dilakukan, setiap pekerjaan di breakdown untuk mendapatkan pekerjaan spesifik secara detail dengan Hierarkikal task analisis. Data yang dihasilkan dengan Systematic Human Error Reduction and Prediction Approach (SHERPA) dianalisis secara komprehensif. Hasilnya di dapatkan 21 pekerjaan spesifik dengan kriteria pemeriksaan, aksi dan komunikasi. Human error yang terjadi pada profil risiko rendah dan sedang. Rekomendasi diberikan untuk memperbaiki profil risiko. Hasil penelitian ini memberikan dampak yang signifikan untuk mengatasi permasalahan pengoperasian mesin yang disebabkan kesalahan manusia.