在線即時計算器 · 純前端本地秒算 · 零數據上傳

📐 Bleach Attendance Skip 計算機

專業免費的 Bleach Attendance Skip 計算機。純前端本機毫秒級計算、零資料上傳、極致隱私保護。提供詳細公式推導、實例示範與常見問答。

即時推算結果 (Computed Output)
10 and still stay above the requirement
專業公認計算模型,即時運算完畢
📜 計算歷史記錄 (試算軌跡)
尚無歷史記錄,每次點擊「計算」將在此留下試算軌跡...

What is the Bunk Calculator?

The Classes You Can Skip Calculator — popularly called a "bunk calculator" — tells you exactly how many lectures you can miss while still meeting your institution's minimum attendance requirement (commonly 75%). Many colleges bar students from exams if attendance falls below a set percentage, so knowing your buffer helps you plan days off without risking a detention or shortage.

How to use it

Enter three numbers: the classes you have attended so far, the total classes held to date, and your required attendance percentage. The calculator returns how many future classes you can skip while staying at or above the threshold, plus your current attendance percentage. If you're already short, it shows how many classes you must attend in a row to recover.

The formula explained

If you skip a class, your total still goes up by one but your attended count does not. To stay above the required fraction p you need attended ≥q p × total. Solving for the number of skips you can afford from now gives:

Skippable = ≤ft\lfloor ((A - p · T) ÷ (p)) \right\rfloor \qquad p = ((R) ÷ (100))

where A is classes attended, T is total classes held, and R is the required percentage. The floor rounds down because you can only skip whole classes. If the result is negative you are already below the requirement, and the recovery formula below tells you how many classes to attend instead:

N = ≤ft\lceil ((p · T - A) ÷ (1 - p)) \right\rceil.

Worked example

Suppose you've attended 45 of 50 classes and need 75% (p = 0.75). Then

A - p · T = 45 - 0.75 × 50 = 45 - 37.5 = 7.5.
Dividing by p:
7.5 / 0.75 = 10.
So \lfloor 10 \rfloor = 10. You can skip up to 10 more classes and still hold exactly 75% (45 of 60). Your current attendance is 45/50 = 90%.

How to calculate skippable classes by hand

Let A be classes attended, T be total classes held, and R be the required percentage.

  1. Convert the required percentage to a fraction. Divide by 100: p = R/100. For a 75% rule, p = 0.75.
  2. Find the minimum attendance the rule demands so far. Multiply p by the total: p · T. For A = 45,\ T = 50,\ p = 0.75: 0.75 × 50 = 37.5.
  3. Subtract that from your attended count. This is your surplus above the bare minimum: A - p· T = 45 - 37.5 = 7.5.
  4. Divide the surplus by p and take the floor. Each future skip adds 1 to the total but 0 to attended, so each skip costs p of surplus: 7.5 / 0.75 = 10, and \lfloor 10 \rfloor = 10.

Check: skipping all 10 gives 45 attended out of 50 + 10 = 60 total, which is 45/60 = 75.0% — exactly on the line.

What Your Result Means

The calculator answers one question: starting from right now, how many more classes can you miss and still finish at or above your required attendance percentage? It compares what you have attended (A) with what has been held (T) against the required fraction p = R/100:

Skippable = ≤ft\lfloor ((A - p T) ÷ (p)) \right\rfloor \qquad p = ((R) ÷ (100))

A positive number

A positive result is the number of whole future classes you may miss before your percentage drops below R%. If you have attended 42 of 50 classes and your institution requires 75%, then p = 0.75 and

≤ft\lfloor ((42 - 0.75 × 50) ÷ (0.75)) \right\rfloor = ≤ft\lfloor ((42 - 37.5) ÷ (0.75)) \right\rfloor = ≤ft\lfloor 6 \right\rfloor = 6

so you can skip 6 classes. Skip all six and you land exactly on 42/56 = 75.0% — at the line, with nothing left over.

Zero

Zero means you are at the threshold or only barely above it: the very next absence pushes you under R%. Treat zero as "attend everything from here", not as "one more is fine".

A negative number, or a recovery figure N

A negative result (or a recovery count shown as N) means you are already below R% and can skip nothing — you must attend a run of consecutive classes to climb back. The number of classes needed is

N = ≤ft\lceil ((p T - A) ÷ (1 - p)) \right\rceil

For 40 attended out of 60 held (66.7%) against a 75% rule: N = \lceil (45 - 40)/0.25 \rceil = 20. You would need 20 straight classes with no further absence — and that is only possible if at least 20 more classes are actually scheduled. If the term ends sooner, the shortfall cannot be recovered by attendance alone.

Assumptions you should check

  1. Every remaining class is assumed to be held and counted. The figure is not a promise about the whole term — it is a snapshot from today's A and T.
  2. It shrinks by one for each class you actually skip and grows as you attend more. Recompute after every few classes rather than trusting an old number.
  3. Medical leave, duty leave (sport, NCC/NSS, placement drives, conferences), condoned attendance and make-up classes are ignored. If your institution grants such exemptions, your official percentage may be higher than the raw A/T figure.
  4. Results are whole classes because partial attendance is not counted: you are either present or absent for a session. Rounding is downward (floor) for skippable classes and upward (ceiling) for recovery classes, so the answer is always the safe side of the line.
  5. Many institutions compute attendance per subject, not as an aggregate. Comfortable overall numbers can hide one subject sitting below the threshold, and the per-subject shortfall is usually what triggers a penalty. Run the calculator once per subject if that is how your college counts.
  6. Some institutions round the final percentage, count lab or tutorial hours with different weights, or count a three-hour lab as multiple sessions. Those rules change T and therefore the answer.

Thresholds and exemptions are set by each institution — commonly 75% in many Indian universities and under AICTE-affiliated programmes, but 70%, 80% or 85% are all used elsewhere, and some systems have no percentage rule at all. This tool is a planning aid, not a ruling: your institution's official attendance policy, and the register kept by your department, are authoritative.

使用注意事項與精準校對原則(6 大核心守則)

📐 1. 嚴格對齊輸入量綱與單位

輸入各項數值時請務必確認量綱(例如小時、天數、金額、百分比),避免單位不匹配引發推算偏差。

🔒 2. 純前端本機毫秒級隱私保障

所有計算邏輯 100% 在您的終端瀏覽器內完成,資料絕不上傳伺服器,嚴格守護商業與個人隱私。

📊 3. 符合公認學術與產業計算模型

演算法嚴格遵循國際通用數學公式與標準計算模型,經多重情境交叉核對,數值嚴密精確。

📋 4. 一鍵複製與免登入 PDF 匯出

支援一鍵複製推算結果字串至剪貼簿,亦可直接點擊列印按鈕輸出純淨 PDF 工作報表。

🔄 5. 多情景敏感度動態對比

建議針對極端值與多組預期情景分別試算,觀察輸出數據的波動區間,輔助做出更穩健的決策。

🛡️ 6. 專業諮詢與日常參考免責聲明

本工具運算結果供日常排程、學業研習與事前參考之用,如涉及重大法規或投資決策請諮詢持證專家。

常見問題 (FAQ)

What if the result is negative?
A negative value means you're already below the requirement, so you can't skip any — the tool then shows how many classes you must attend consecutively to recover.
Does skipping add to total classes?
Yes — this model assumes every class is conducted whether you attend or not, which is the standard college rule.
Is 75% always the cutoff?
No, you set the percentage yourself; many universities use 75%, but some use 80% or 85%.