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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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 |
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. |
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