PERFORMANCE STUDY OF THE AUTOMATION IN MONITORING SYSTEMS FOR ASPHALT MIXING PLANT (CASE STUDY: LIVE AMP SYSTEM AT PT. HAKAASTON)

In an effort to enhance the monitoring systems of its business units, PT Hakaaston strives to keep up with the times through digitalization. One of the digitalization implementations is the application of the Internet of Things (IoT) in the Asphalt Mixing Plant (AMP), named LAMPS (Live AMP System...

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Bibliographic Details
Main Author: Aditya Putra, Firman
Format: Theses
Language:Indonesia
Subjects:
Online Access:https://digilib.itb.ac.id/gdl/view/85163
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:In an effort to enhance the monitoring systems of its business units, PT Hakaaston strives to keep up with the times through digitalization. One of the digitalization implementations is the application of the Internet of Things (IoT) in the Asphalt Mixing Plant (AMP), named LAMPS (Live AMP System). LAMPS itself is a digital breakthrough that applies the Internet of Things (IoT) in the hotmix production system to monitor the production work in the AMP. Based on PT. Hakaaston’s corporate strategy in the 2023 Strategic Policy & Work Program Goals (SSKP) for Information Technology & Research and Technology, the company planned an automation monitoring program for 8 AMPs, with 3 AMPs currently installed. However, it remains unclear whether LAMPS is functioning as expected. Therefore, this research aims to evaluate the implementation of LAMPS that has been installed in PT Hakaaston’s AMPs. The research will use a gap analysis method, comparing the actual conditions with the expected benefits as perceived by PT Hakaaston. The results of the analysis indicate that the current implementation of LAMPS in PT Hakaaston’s AMPs is still not optimal, as the expected functions have not been fully realized as anticipated in the initial implementation. In response to this condition, the researcher seeks to provide technical recommendations to improve the outcomes and future implementation of LAMPS, focusing on sensor location and type, equipment readiness, internet speed and power supply, completeness of the report dashboard, program socialization, and clear SOP for LAMPS implementation.