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Scripted introduction. The project study is Adjie AI’s prepared answer; use Ask AI for your own questions.

How do you simplify daily temperature logging without losing correction history?

Adjie AI

A QR label opens the exact monitoring point. Staff record the reading and its Pagi or Sore slot; corrections preserve the previous value, while monitoring and monthly exports share the same effective records.

Operational software / 2026

SuhuLog

At the point of work.
In the monthly record.

A hospital laboratory temperature-logging system for QR-based entry, exception monitoring, auditable corrections, and official monthly exports.

Follow a reading ↓
On a phone: staff pick the monitoring point and the morning (Pagi) or afternoon (Sore) slot, then enter the reading.
On a phone: staff pick the monitoring point and the morning (Pagi) or afternoon (Sore) slot, then enter the reading.
My contribution
Product design · full-stack engineering · release engineering
Built with
TypeScript · Node.js · Express 5 · SQLite · EJS · Chart.js · Nginx
The problem

Start with the work.

Manual refrigerator and room-temperature records had to become faster to capture without losing the laboratory's twice-daily slots, correction history, configured limits, or official workbook format.

What I built

Adjie designed, built, and released a focused web application that opens the correct monitoring point from a QR label and produces charts, Excel, PDF, and ZIP reports from the same effective records.

01 / From capture to review

One reading.
Two working scales.

The phone captures the reading. The larger screen makes the month inspectable.

The right point, already resolved.

A QR label opens the entry form for one exact monitoring point.

Select a stage to inspect the workflow.

QR labelExact monitoring pointAuthenticated entry

Workflow diagram · no scannable destination published

  1. 01

    A QR label opens the entry form for one exact monitoring point.

  2. 02

    Staff select Pagi or Sore; the server stamps the recording time. Each point, date and period has one effective ordinary record.

  3. 03

    Configured ranges flag out-of-range readings without blocking or clamping them.

  4. 04

    Corrections append a new record and supersede the prior value instead of overwriting history.

  5. 05

    Monthly views, charts, Excel, PDF, and ZIP exports read the same stored records.

02 / Desktop monitoring

Read the month.
Keep the exceptions.

Configured limits provide context. An out-of-range measurement remains a measurement; it is never clamped into a reassuring number.

On a laptop: the monthly curve per point, with configured limits and exceptions.
On a laptop: the monthly curve per point, with configured limits and exceptions.
03 / Engineering decision

Correct the record.
Keep its history.

Original readingReason + attributionEffective replacement

Corrections append a new record and supersede the prior value instead of overwriting history.

04 / Reporting

A report people can use.

Monthly views, charts, Excel, PDF, and ZIP exports read the same stored records.

Monthly report backed by the same records used for the Excel and PDF export.
Monthly report backed by the same records used for the Excel and PDF export.
Evidence / verification

The public record.

Release
v1.2.3
Quality gate
276 automated tests
Exports
Official Excel · PDF · ZIP
Operations
HTTPS · systemd · verified backups
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