Problem Statement : To deduce the salary of an Agent, monthly. Suggestions/Assumptions :

• For an Agent to make 200, 000 XAF of a salary a month, he/she must earn 170, 000 XAF of bonus i.e atleast 20 pickups transactions a day, for 1 month.
• Base Salary : Min : 15, 000 XAF Max : 30, 000 XAF
• Shifts :
• 5 : 00am - 12 : 00pm (Morning shift)
• 12 : 00pm - 7 : 00pm (Afternoon shift)
• Payment for any shift is 500 XAF, for Residence
• Payment for any shift is “above 500 XAF” for Commercial. We have 300 XAF for a wheelbarrow.
• CASE 1 : Booking For Residence (per day) :
• Each Booking = 50 XAF
• 5 Pickup = 1, 000 XAF BONUS
• 10 Pickup = 5000 XAF BONUS ( = 150 000 XAF for 30 days + 30 000 XAF)
• Bonus for being on time for a shift + for bookings in that shift : 350 XAF Maximum salary : 10 pickups every days + base salary of 2 shifts a day = 180 000 + 20 000 = 200 000 XAF Booking For Commercial (per day) :
• 1 Pickup = 100 XAF
• 3 Pickup = 1000 XAF
• 5 Pickup = 6500 XAF BONUS or 6666.66 (= 195 000 XAF for 30 days

• 30 000 XAF)

• Bonus for being on time for a shift + for bookings in that shift : 350 XAF Maximum salary : 5 pickups every days + base salary of 2 shifts a day = 195 000 + 30 000 + 20 000 = 245 000 XAF Inputs :
• Agents
• Month Outputs :
• Salary for that month Algorithm :
• Step 1 : Start
• Step 2 : Get all the booking done by the agent
• Step 3 : Get all the booking done by the agent for the month
• Step 4 : From the list of booking, sort out the residence and the commercial bookings
• Step 5 : From the list of residence,
• Result1 = length/20
• Remainder1 = length % 20
• IF Remainder1 ≠ 0, Result2 = Remainder1 / 10 Remainder2 = Remainder1 % 10 IF Remainder2 ≠ 0, Result3 = Remainder2 / 5 Remainder3 = Remainder % 5
• Step 6 : Total_Bonus = (𝐵𝑜𝑛𝑢𝑠 𝑜𝑓 20) × 𝑅𝑒𝑠𝑢𝑙𝑡1 + (𝐵𝑜𝑛𝑢𝑠 𝑜𝑓 10) × 𝑅𝑒𝑠𝑢𝑙𝑡2 + (𝐵𝑜𝑛𝑢𝑠 𝑜𝑓 5) × 𝑅𝑒𝑠𝑢𝑙𝑡3 + (𝑅𝑒𝑚𝑎𝑖𝑛𝑑𝑒𝑟3) × 50
• Step 7 : Get all shifts done by Agent
• Step 8 : Total_Salary = (𝑇𝑜𝑡𝑎𝑙 𝑠ℎ𝑖𝑓𝑡 𝑑𝑜𝑛𝑒 𝑏𝑦 𝑎𝑔𝑒𝑛𝑡) × 500 + (Total_Bonus)
• Step 9 : Return Total_Salary Note : Step 5 is a method

An algorithm that evaluates a price based on volume for a pickup or a pickup & cleaning package. Analysis

• Assumptions

• All prices below the price determined should be rejected

• Requirements Calculate Volume Inputs

• Size (bucket-10L, trash bag-27L, wheelbarrow-80L)
• Quantity Outputs
• Volume = ((size/1000) * quantity) cubic metres Calculate Price Inputs
• Volume
• Package Outputs
• Price = (Volume * 0.05) XAF IF Package == “pickup”: Return Price Else: Return 1.2 * Price Bid Inputs
• Biding price
• Price

Output

• Status (rejected-0 or approved-1) IF biding < price THEN Status = rejected Display “Price too low.” ELSE Status = Approved Display Price

• Algorithm Inputs

• Package (Pickup and Cleaning & Pickup)
• Trash quantity
• Volume
• Biding price

• Outputs

• Price determined and send to Admin Step 1: Start Step 2: Select a package(pickup / cleaning & pickup) Step 3: Select a trash size Step 4: Select the trash quantity Step 5: If trash quantity > 1 Step 6: Calculate volume Step 7: Assign the calculated price to a variable Price_1 Step 8: Else if trash quantity == 1 Step 9: Calculate volume by dividing the size by 1000 Step 10: Assign the calculated price with the pickup as package to a variable price Step 11: Else Display “Set a trash quantity of at least one” Step 12: Bid

• Pseudocode Inputs

• Package (Pickup & Cleaning and Pickup)
• Trash quantity
• Volume
• Biding price

• Outputs

• Price determined and sent to Admin Select a package(pickup / cleaning & pickup) Select a trash size Select the trash quantity IF trash quantity > 1 Calculate Volume (size, quantity) Price_1 = Calculate Price (volume, package) Else if trash quantity == 1: Volume = size / 1000 Price = Calculate Price (volume, “pickup” ) Else: Display “Set a trash quantity of at least one” Bid(biding price, Price, minimum percentage)

• Problem Statement Convert what a user spend to his number of points Analysis

• Assumptions As an owner uses their points it decreases on the dashboard but your points are accumulated somewhere to make you move from one level to another. Inputs

• Price
• Total ecopoints Output
• Number of points

• Requirements Convert Input

• Price Output
• Number of ecopoint Algorithm Step 1: Start Step 2: Get price from user’s transaction Step 3: Convert price to number of points Step 4: Round the number of points to the nearest whole number Step 5: Add number of points to the total Ecopoints Step 6: Check your level

• Pseudocode Redeem Problem Statement Convert the number of points to the rewards of the owner. Analysis Assumptions An owner can not redeem part of his Ecopoints but can redeem n* base of a service for Ecopoints.

• Requirements Input ● Number of points ● Services to redeem Output ● Reward ● Level Algorithm Step 1: Start Step 2: Get the number of points Step 3: Select the service to be redeem ( voice, data, or Electricity ) Step 4: Redeem n * base of service value of the service based on your level (**) Step 5: Decrease the number of points by n base from the dashboard