SayPro SayPro Employee Attendance Register (Weekly)

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SayPro Weekly Employee Attendance Register

Report Title: Weekly Employee Attendance Register
Department: SayPro Human Resources & Monitoring Office
Unit: SayPro Monitoring, Evaluation, and Learning Royalty
Report Reference: SEAR-WK-MAY2025
Reporting Period: 8 – 14 May 2025
Prepared by: [Your Name / HR Officer]
Date of Submission: 15 May 2025


1. Overview

This report provides a summary of employee attendance for the week of 8–14 May 2025. It includes records of daily attendance, absences, late arrivals, and early departures for all SayPro employees. This information supports workforce management, performance tracking, and ensures operational efficiency.


2. Employee Attendance Summary

Employee IDEmployee NamePositionMonday (8 May)Tuesday (9 May)Wednesday (10 May)Thursday (11 May)Friday (12 May)Total Days WorkedNotes/Comments
101John DoeProject ManagerPresentPresentPresentAbsentPresent4Medical Leave on 11 May
102Jane SmithData AnalystPresentPresentPresentPresentPresent5
103Michael LeeLearning SpecialistAbsentPresentPresentPresentAbsent3Unpaid Leave on 8 & 12 May
104Sarah ClarkHR CoordinatorPresentPresentAbsentPresentPresent4
105Emma JohnsonContent WriterPresentPresentPresentPresentPresent5
106David BrownIT SupportPresentAbsentPresentPresentPresent4Family Emergency on 9 May
107Lisa GreenMarketing SpecialistPresentPresentPresentPresentPresent5
108Kevin WhiteSoftware EngineerPresentPresentAbsentPresentPresent4Sick Leave on 10 May
109Olivia TaylorOperations LeadPresentPresentPresentPresentAbsent4Conference on 14 May
110James BlackQA AnalystPresentPresentPresentPresentPresent5

3. Attendance Breakdown

  • Total Employees: 10
  • Total Days Worked: 44 (out of 50 possible days)
  • Absenteeism Rate: 12%
  • Average Days Worked per Employee: 4.4 days
  • Employees with Perfect Attendance: 5 (Jane Smith, Emma Johnson, Lisa Green, James Black)
  • Employees with 1 or More Absences: 5

4. Reasons for Absence

Absentee NameDate(s) of AbsenceReasonType of Leave
John Doe11 May 2025Medical LeavePaid Leave
Michael Lee8 & 12 May 2025Unpaid LeaveUnpaid
David Brown9 May 2025Family EmergencyUnpaid Leave
Kevin White10 May 2025Sick LeavePaid Sick Leave
Olivia Taylor14 May 2025ConferenceBusiness Leave

5. Late Arrivals / Early Departures

Employee NameDate(s) of Late ArrivalTime of ArrivalDate(s) of Early DepartureTime of DepartureReason
Sarah Clark9 May 20259:30 AM12 May 20253:00 PMTraffic
Michael Lee10 May 202510:15 AM12 May 20254:00 PMPersonal Appointment
Kevin White13 May 202510:00 AMN/AN/ATraffic Delay

6. Summary of Attendance Issues

  • Unapproved Absences:
    • Michael Lee had unapproved absences on 8 and 12 May 2025.
  • Frequent Late Arrivals:
    • Sarah Clark had consistent late arrivals due to traffic on 9 May and early departure on 12 May.
  • Conference Leave:
    • Olivia Taylor attended a conference on 14 May 2025, leading to an absence for the day.

7. Recommendations & Action Plan

  • Improve Leave Management: Ensure employees communicate planned absences ahead of time and provide necessary documentation (e.g., medical certificates or conference invites).
  • Address Frequent Lateness: Implement a reminder system to encourage punctuality for employees like Sarah Clark, who have recurring lateness issues.
  • Clarify Leave Categories: Ensure employees understand the distinction between paid/unpaid leave and the process for applying for leave, particularly for unpaid leave (e.g., Michael Lee’s absence).

8. Conclusion

The attendance data for the week of 8-14 May 2025 shows that the majority of employees were present for the workweek. However, some employees had isolated attendance issues, including medical leave, family emergencies, and conference-related absences. The data will be used for further monitoring and improvement of attendance practices across the department.


9. Sign-Off

Prepared by: [Full Name]
Position: HR Officer / Attendance Monitoring Coordinator
Signature: ______________________
Date: 15 May 2025

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