SQL AND NODE.JS-BASED BACKEND SUBSYSTEM DEVELOPMENT FOR THE UPT LOGISTIK ITB WAREHOUSE MANAGEMENT SYSTEM (WMS)
With effectiveness and efficiency in mind, UPT Logistik ITB, as the services and goods procurement unit for Bandung Institute of Technology (ITB), plans to develop a Warehouse Management System (WMS) for their newly-built warehouse. Absent of any warehousing automation, the WMS that comprises bot...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/85130 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | With effectiveness and efficiency in mind, UPT Logistik ITB, as the services and
goods procurement unit for Bandung Institute of Technology (ITB), plans to develop
a Warehouse Management System (WMS) for their newly-built warehouse. Absent
of any warehousing automation, the WMS that comprises both hardware
components and information system is aimed to minimize inconsistencies and
potential human errors in the warehouse management activities. The solution for the
aforementioned information system itself is divided into two main subsystems: a
web app user interface as the frontend and a web server that connects to a database
as the backend.
The web server that is developed for the backend subsystem is connected to the web
app user interface on the frontend and also to the hardware components of the WMS
through protocols based on HTTP (HyperText Transfer Protocol). The server itself
provides data-related services while being connected to a relational database that
runs on an SQL (Structured Query Language) database managements system. All of
it is packaged into a final product in the form of a server that is implemented using
an ecosystem of tools and framework based on the Node.js technology.
On the functional side of things, the resulting solution can fulfill almost every service
group that is expected and can be adjusted to the scope and specifications of the
warehouse management activities. On the other hand, the data transfer performance
reaches a level that is close to being production-ready. However, optimization can
still be done to achieve speedier data transfer performance to better fulfill the
requests being processed. |
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