Content: - 16 chapters (book/) across 4 Bagian - 32 diagram assets (assets/diagrams/) - Front/back matter (halaman judul, daftar isi/gambar/tabel, pustaka, glosarium, indeks, lampiran, tentang penulis) - 16 worksheets, 16 templates - Discussion modules (docs/) - BLUEPRINT, BOOK-SPEC, MASTER-ANCHOR, REFERENCES, PROJECT-TRACKER
1.8 KiB
1.8 KiB
WS-11: Data Validation
Bab Terkait: Bab 11 — Data Validation & Integrity Tujuan: Memvalidasi kelengkapan, konsistensi, dan keandalan data eksperimen Referensi: Lampiran B.11 | Template A.11
Latihan 1 — Completeness Check
| Skenario | Data Point Diharapkan | Data Point Tersedia | Hilang | Penanganan |
|---|---|---|---|---|
| S1 | ||||
| S2 | ||||
| S3 |
Simulasi: 2 run hilang (timeout). Dampak:
Keputusan penanganan data hilang:
- Re-run
- Hapus skenario
- Lanjutkan dengan catatan
Latihan 2 — Anomaly Investigation
Skenario anomali: Satu skenario menunjukkan performa 10x lebih baik dari rata-rata.
| Langkah Investigasi | Temuan |
|---|---|
| 1. Cek apakah bug di kode | |
| 2. Cek cache effect | |
| 3. Cek parameter input | |
| 4. Cek environment (background process) | |
| 5. Re-run dengan seed berbeda |
Keputusan: [ ] Bug / [ ] Cache effect / [ ] Genuine result Justifikasi: ________________________________________
Latihan 3 — Full Validation Report
| Aspek Validasi | Status | Catatan |
|---|---|---|
| Completeness | [ ] Pass / [ ] Fail | |
| Consistency | [ ] Pass / [ ] Fail | |
| Range check | [ ] Pass / [ ] Fail | |
| Logical validity | [ ] Pass / [ ] Fail |
Keputusan final:
- Data siap analisis
- Perlu cleaning (detail: _________________________)
- Perlu re-run (detail: ___________________________)
Refleksi
"Jika reviewer meminta raw data dan log eksperimen — apakah saya bisa menyediakannya dalam 10 menit?"
Jawaban refleksi: