PERANCANGAN SISTEM PEMANTAUAN KINERJA PRODUKSI PADA PROSES SURFACE TREATMENT PT DIRGANTARA INDONESIA
PT Dirgantara Indonesia, a state-owned company in the aeronautical manufacturing sector, has a surface treatment facility with a critical function in enhancing product surface quality. Consequently, most of the product components will have the requisite processing in this facility. In light of th...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/81687 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | PT Dirgantara Indonesia, a state-owned company in the aeronautical
manufacturing sector, has a surface treatment facility with a critical function in
enhancing product surface quality. Consequently, most of the product components
will have the requisite processing in this facility. In light of this, the facility must
always be in prime condition to meet demand. However, the company encounters
a predicament in monitoring the facility's condition due to unintegrated and
physically stored data. This consequently makes the information difficult to
obtained and processed. Therefore, this research will be conducted to design a
performance monitoring system.
This research used the SDLC (Systems Development Life Cycle) framework that is
modified to design a performance monitoring system. The methodology began
with defining the scope and objectives. Then, project planning was carried out.
The following stages were analyzing general objectives, functional requirements,
non-functional requirements, and required performances. The next stages were
designing the system architecture, data storage and modeling, filing processes,
ETL (Extract, Transform, Load) processes, data processing, and performance
visualization. Implementation was accomplished by connecting the design results
with the prototype as the system representation. These results were verified,
validated, and evaluated.
This design identified the data and metrics according to user needs. The identified
requirements were batch, job, tank parameters, energy, and downtime. The
identified metrics were performance, availability, quality, OEE (Overall
Equipment Effectiveness), energy usage, parameter accuracy, and job completion.
Data processing and recording in this system use Node-RED. Data is stored in a
local MySQL database. Then, the database is connected to PowerBI with ODBC.
PowerBI is used for visualizing information and performance measurements. The
test resulted in production performance system that fullfils users’ need.
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