Army ROA Planner
Full Stack Development
by Ivan Jaben Pang
Student | Content Creator
Army ROA Planner Full Stack Development
I carried out this project during my National Service for an Army Innovation Project. The Goal of this Website is to combat the issue of manually planning out Vehicular Routes for Military Vehicles from one place to another.
I utilised VSCode, MySQL Workbench for the back end database, NodeJS, and ExpressJS.
This project contains features such as:
Account Creation
Password Hashing
Vehicle Route Automation
Google Maps API Integration
Getting around restricted routes
Route History
Data Storage for Routes
CRUD for Each Individual Routes
Backend Database for Route & Data Storage


We have chosen the taxi revenue based on the latest year, 2020, where we take the amount and divide it by 365 days to find the average amount of taxi revenue per day, which we could use to estimate that there would be a total taxi revenue of $1,104,657 on that day, that would be paid by debit or cash by customers. ($403,200,000 / 365 = $1,104,657.534).
Reasoning for $258,083 in Materials & Consumables Costs:
Using Materials and consumable costs from 2020, the cost of materials and consumables based on the statement of financial position is 94.2 million. To find the estimated cost of Materials and Consumables, we divided 94.2 million by 365 days to find the daily expenditure, an estimate of $258,082 per day.
Likely Impact of Covid-19 on ComfortDelGro
Covid 19 safety measures and circuit breaker has affected ComfortDelGro’s revenue and profit significantly. As most people work from home and do home-based learning, the demand for transport, taxi services and car rentals has reduced drastically. There was a huge drop is tourist arrivals as borders were closed. The strengthened safety measures were also used to control crowds within shopping malls and restaurants with disruption of nightlife. Lesser people are willing to take a taxi or public transport in fear of coming into close contact with others. Singapore Government Relief Measures such as Job Support Scheme has helped to reduce staff costs.


With the new measures put in place by the Singapore Government in 2020, there was a decrease in the Profit After Taxation account by $225.5 million from its original amount of $318.2 million in 2019. Leaving ComfortDelGro with $92.7 million in Total Profit after Taxation for the year. This meant that there was a 70% drop in Total Profit after Taxation. From 2019 to 2020, there was a fall in total revenue of 17% from $3,901.1 million to $3,228.6 million. This was due to a significant drop in demand and customers using the services of ComfortDelGro because of the new measures that the Government put in place. Furthermore, there was a decrease in staff costs from $1,726.2 million in 2019 to $1,550.1 million in 2020 mainly due to government grants of $152.4 Million.
On further inspection on the revenue account, the revenue of the taxi services fell by $261.5 million from its original amount of $664.7 million in 2019. Leaving ComfortDelGro with $403.2 million in revenue, specifically for Taxi Services carried out. This meant that there was a 39.3% drop in Taxi Services Revenue.
There was also a decrease in the public transport service revenue by $310.7 million from its original amount of $2878.6 million in 2019. Leaving ComfortDelGro with $2567.9 million in revenue specifically for the Public Transport Services.
This means that there was a 10.8% drop in Revenue for Public Transport Services.
According to the Statement of Financial Position, as shown above, there is an increase in Total Grant Receivables from a total of $321.9 million ($280.3 million + $41.6 million) in 2019 to $346.4 million ($279.1 million + $67.3 million) in 2020, this is due to the grant receivables from the Australia President and from the Singapore Government Relief Measures such as Job Support Scheme Initiative towards ComfortDelGro.


Army ROA Planner Full Stack Development
I carried out this project during my National Service for an Army Innovation Project. The Goal of this Website is to combat the issue of manually planning out Vehicular Routes for Military Vehicles from one place to another.
I utilised VSCode, MySQL Workbench for the back end database, NodeJS, and ExpressJS.
This project contains features such as:
Account Creation
Password Hashing
Vehicle Route Automation
Google Maps API Integration
Getting around restricted routes
Route History
Data Storage for Routes
CRUD for Each Individual Routes
Backend Database for Route & Data Storage