Attendance
Attendance Monitoring System
U
User
Filters & Display
Main Biometric (0140840141)
Show
entries
Print Reports
Weekly Trends Report

Generate weekly attendance trends and analysis

Time Analysis Report

Detailed time-based attendance analysis

Note: Today is Saturday (Weekend). Attendance metrics are calculated based on weekdays only (Monday-Friday).

76

Total Registered

Students/Staff

0%

Attendance Rate

0 present today

0

Late Arrivals Today

Attended but late

76

Absent Today

Did not attend (Weekend)
Analytics Date Range & Period
Attendance Trends
Average Monthly Attendance
Month Rate Present
Mar 2026 20.81% 58/76
Apr 2026 11.44% 27/76
Overall Average: 16.13%
Termly Attendance Rates
Term Attendance Rate Period
Term 1 76.32% Jan 1 - Apr 30, 2026
Term 2 0% May 1 - Aug 31, 2026
Term 3 0% Sep 1 - Dec 31, 2026
Quick Statistics
Feb 17 - Apr 18, 2026
Total Records
528
Present Students/Staff
58
Absent Rate
23.68%
Early Departures
26
Frequent Absentees
Feb 17 - Apr 18, 2026
44 weekdays in period
Range Full Name Days Present Attendance % Last Seen
2 Ken 1/44 days 2.27% Mar 23, 2026 (26 days ago)
54 Elsy Shania 1/44 days 2.27% Mar 25, 2026 (24 days ago)
110 Abigael Joy 2/44 days 4.55% Mar 27, 2026 (22 days ago)
152 Malia Amour 2/44 days 4.55% Mar 27, 2026 (22 days ago)
55 Maya Pendo 3/44 days 6.82% Mar 27, 2026 (22 days ago)
104 Kaylah Trinnah 3/44 days 6.82% Mar 27, 2026 (22 days ago)
60 Melanie Hawi 4/44 days 9.09% Mar 27, 2026 (22 days ago)
111 Ivan Sidika 4/44 days 9.09% Mar 27, 2026 (22 days ago)
154 Javiel Isigi 4/44 days 9.09% Mar 27, 2026 (22 days ago)
155 Ashly Alleilah 4/44 days 9.09% Mar 27, 2026 (22 days ago)
53 Shania Anyango 4/44 days 9.09% Mar 30, 2026 (19 days ago)
109 Keyden Otieno 4/44 days 9.09% Mar 31, 2026 (18 days ago)
103 Hadassah Pendo 5/44 days 11.36% Mar 27, 2026 (22 days ago)
108 Starsha Odhiambo 5/44 days 11.36% Mar 27, 2026 (22 days ago)
151 Elizabeth Giana 5/44 days 11.36% Mar 27, 2026 (22 days ago)
Showing students/staff with less than 70% attendance during weekdays in selected period
Check-ins by Hour
Today's Latecomers
April 18, 2026
Student/Staff Check-in Time Status
_ _ _ Late
Total today: 1 late arrivals
Frequent Late Comers
Feb 17 - Apr 18, 2026
Student/Staff Late Count Status
Nancy 22 Frequent Late
Lilian Kizugu 21 Frequent Late
Catherine 19 Frequent Late
Daniel 16 Frequent Late
Simon 16 Frequent Late
Eunice 12 Frequent Late
Based on total late arrivals in selected period
Historical Name Analytics
Showing names as they were during the attendance period
Student ID Historical Name Total Days Late Count Early Departures Total Hours
3 Lilian Kizugu _ ID: 3 26 days 21 late 5 early 131.1 hrs
305 Vallerie Kanaiza _ ID: 305 13 days On time Stayed 103.5 hrs
31 Elvis _ _ ID: 31 20 days On time Stayed 130.3 hrs
4 Catherine _ _ ID: 4 24 days 19 late 3 early 113.5 hrs
6 Eunice _ _ ID: 6 18 days 12 late 2 early 118.1 hrs
7 Simon _ _ ID: 7 25 days 16 late 4 early 123.6 hrs
8 Nancy _ _ ID: 8 28 days 22 late 6 early 139 hrs
301 Tamar Magiri _ ID: 301 10 days On time Stayed 72.2 hrs
306 Angel Gathoni _ ID: 306 12 days On time Stayed 67.2 hrs
307 Andrew Johnson _ ID: 307 9 days On time Stayed 68.4 hrs
32 Martha _ _ ID: 32 20 days On time Stayed 80.9 hrs
33 Gloria _ _ ID: 33 11 days On time Stayed 96.3 hrs
34 Anne _ _ ID: 34 12 days On time Stayed 93.9 hrs
101 Maria Pendo _ ID: 101 9 days On time Stayed 48.2 hrs
103 Hadassah Pendo _ ID: 103 5 days On time Stayed 7.1 hrs
106 Aurelia Mbuya _ ID: 106 6 days On time Stayed 37 hrs
107 Claude Otieno _ ID: 107 5 days On time Stayed 21.5 hrs
108 Starsha Odhiambo _ ID: 108 6 days On time Stayed 21.3 hrs
112 Tyrell Baraka _ ID: 112 7 days On time Stayed 30.4 hrs
150 Elaine Muathime _ ID: 150 7 days On time Stayed 4.6 hrs
151 Elizabeth Giana _ ID: 151 5 days On time Stayed 29.7 hrs
156 Aidoo Awour _ ID: 156 7 days On time Stayed 43.8 hrs
158 Charles Erick _ ID: 158 5 days On time Stayed 21.7 hrs
159 Queen Sasha _ ID: 159 10 days On time Stayed 31.9 hrs
160 Gynabry Kennedy _ ID: 160 7 days On time Stayed 32.4 hrs
161 Amos Joel _ ID: 161 8 days On time Stayed 38.3 hrs
2 Ken _ _ ID: 2 2 days On time 1 early 0 hrs
201 Selenga Molongola _ ID: 201 9 days On time Stayed 37.5 hrs
204 Shayanah Ingaitsa _ ID: 204 8 days On time Stayed 45.1 hrs
251 Princess Palm _ ID: 251 10 days On time Stayed 55.3 hrs
252 Celine Camela _ ID: 252 11 days On time Stayed 45 hrs
302 Lameck Baraka _ ID: 302 10 days On time Stayed 55.2 hrs
303 Natalia Wanjiru _ ID: 303 15 days On time Stayed 61.6 hrs
304 Talia Waruguru _ ID: 304 17 days On time Stayed 61.8 hrs
5 Daniel _ _ ID: 5 19 days 16 late 5 early 82.5 hrs
58 Jasper Elvis _ ID: 58 8 days On time Stayed 45.1 hrs
59 Luciannah Tage _ ID: 59 7 days On time Stayed 27.6 hrs
62 Mercy Nesley _ ID: 62 5 days On time Stayed 21.8 hrs
63 Michael King'ori _ ID: 63 5 days On time Stayed 0 hrs
64 Tylan Karuri _ ID: 64 7 days On time Stayed 28.3 hrs
65 Hailey Nyaguthii _ ID: 65 7 days On time Stayed 28.3 hrs
111 Ivan Sidika _ ID: 111 4 days On time Stayed 7.3 hrs
153 James Jayden _ ID: 153 6 days On time Stayed 45 hrs
154 Javiel Isigi _ ID: 154 4 days On time Stayed 22.8 hrs
155 Ashly Alleilah _ ID: 155 4 days On time Stayed 29.3 hrs
157 Dean Harvey _ ID: 157 5 days On time Stayed 29.2 hrs
203 Merabel Lisa _ ID: 203 7 days On time Stayed 37.4 hrs
205 John Gael _ ID: 205 5 days On time Stayed 15 hrs
206 Joy Gracious _ ID: 206 7 days On time Stayed 46 hrs
55 Maya Pendo _ ID: 55 3 days On time Stayed 6.5 hrs
56 Levi Zawadi _ ID: 56 6 days On time Stayed 31.1 hrs
60 Melanie Hawi _ ID: 60 4 days On time Stayed 7.5 hrs
104 Kaylah Trinnah _ ID: 104 4 days On time Stayed 14.4 hrs
53 Shania Anyango _ ID: 53 5 days On time Stayed 15.1 hrs
54 Elsy Shania _ ID: 54 1 days On time Stayed 0 hrs
109 Keyden Otieno _ ID: 109 4 days On time Stayed 29.4 hrs
110 Abigael Joy _ ID: 110 2 days On time Stayed 0 hrs
152 Malia Amour _ ID: 152 2 days On time Stayed 0 hrs
Attendance Calculation Note

All attendance rates and statistics are calculated based on weekdays only (Monday-Friday). Saturdays and Sundays are automatically excluded from all calculations including:

  • Overall attendance rates
  • Monthly averages
  • Frequent absentees identification
  • Daily trends visualization