2026-05-10 09:39:17 +07:00
# Uji Coba Kuis Komprehensif
Pelajaran ini berisi berbagai tipe kuis untuk menguji fitur Pilihan Ganda, Flashcard, dan sistem penguncian pembatalan.
feat(quiz): taksonomi key quiz per jenis + MCQ berbobot (partial credit)
Fitur B — setiap jenis soal kini punya key sendiri sehingga model
penilaiannya eksplisit, tidak ditebak dari isi konten:
- ---QUIZ_MCQ--- pilihan ganda biner (tepat satu [x]; larang [N])
- ---QUIZ_WEIGHTED--- pilihan ganda berbobot ([N] >= 1, minimal satu [ ],
bobot tertinggi unik = kunci; poin parsial)
- ---FLASHCARD--- kartu hafalan tanpa penilaian (larang opsi)
- legacy ---QUIZ_FLASHCARD--- / ---INITIAL_QUIZ--- tetap dibaca tanpa
perubahan perilaku (regex opsi legacy sengaja tidak berubah — baris
'- [10]' di konten lama BUKAN opsi); dihapus dari docs/template
- ::diagnostic tetap kategori di dalam QUIZ_MCQ & tetap masuk skor resmi
Model skor: rata-rata persentase per jenis yang ada, Math.round,
lulus >= 75. statusString: "X/Y" bila hanya MCQ/legacy, "P/100" bila ada
weighted, "completed" bila hanya flashcard (auto-lulus). Satu sesi/
attempt untuk semua jenis; soal flat urut dokumen.
Parser (backend & frontend mirror, ekstraksi multi-blok per key urut
dokumen via loop marker-start paling awal; id q-N deterministik):
- lesson_service.py: regex [ xX]?[0-9]* utk key baru, _iter_option_lines
kind-aware, _validate_quiz_options per kind, _parse_flashcards(kind,
id_offset), _extract_quiz_sections + guard loop maju (marker end
hilang tidak lagi infinite loop), get_lesson_quiz_total -> 100 bila
ada weighted (round-trip CSV "P/100")
- parseFlashcards.ts / index.ts / detectActiveTabs.ts / extractSections.ts:
mirror perilaku; heading soal <h3> kini fence-aware (fix fixture stale)
Payload attempt baru: quiz_type, earned_points, question_max_points —
opsional di validasi backend supaya klien lama tetap diterima; poin
di-recompute dari konten saat resume/review.
UI: QuizTab skor via statusString + alert berbasis percent, badge
weighted (✓ 10 / 🟡 7/10 / ✗ 0) di review, preview guru badge bobot +
"Berbobot (total N)", laporan guru badge MCQ/Bobot + tooltip, CSV
progress 2 kolom baru per lesson (_quiz_mcq, _quiz_weighted), template
editor konten QUIZ_MCQ/Quiz Bobot/Flashcard.
Tooling & docs: scripts/convert_quiz_keys.py (konversi legacy -> key
baru per run jenis, idempoten, verifikasi parse identik; examples/
content dikonversi), scanner mendukung semua key, docs/07 ditulis ulang,
docs/15 direvisi ke desain final, README/documentation/docs 02/04/09
diperbarui.
Tes: backend 444 lulus (+33: validasi ketat per key, urutan dokumen,
multi-blok, zero regression, field selalu di-emit), frontend 249 lulus
(+13 parser key baru, +11 model skor), parity fixture diregenerasi,
svelte-check 0 error, vite build OK.
2026-10-25 20:16:56 +07:00
---QUIZ_MCQ---
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### Bahasa C adalah bahasa pemrograman tingkat rendah.
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image: https://upload.wikimedia.org/wikipedia/commons/1/18/C_Programming_Language.svg
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- [] Benar
- [x] Salah
> Penjelasan: Bahasa C sebenarnya dikategorikan sebagai bahasa tingkat menengah (*middle-level language*) karena memiliki fitur bahasa tingkat rendah (seperti manipulasi memori) sekaligus fitur bahasa tingkat tinggi (seperti struktur kontrol yang manusiawi).
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### Apa output dari `printf("%d", 5 + 5);`
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::diagnostic
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- [] 55
- [x] 10
- [] 5 + 5
- [] Error
> Penjelasan: Operasi `5 + 5` dihitung terlebih dahulu menjadi `10`, lalu dicetak sebagai integer menggunakan format specifier `%d`.
refactor(quiz): restructure quiz session, question view, and tab safety
Restructure quiz flow into QuizSession primitive + atomic quiz state in
LessonManager, and extract QuizQuestionView for split-view display.
Tab-safety fix: add lesson-tabs.ts with pickDefaultTab(), getAvailableTabs()
mirroring the exact {#if} conditions in +page.svelte, and ensureActiveTab()
safety-net that falls back to pickDefaultTab() when the desired tab is not
rendered. A reactive $effect in lesson/[slug]/+page.svelte validates
activeTab against lesson data on every change, preventing the "tab quiz
kosong" (empty workspace) regression for quiz-only lessons and phantom-tab
state after data changes.
Files:
- lib/services/lesson-tabs.ts (+test): pure helpers, 18 tests pass
- lesson/[slug]/+page.svelte: ensureActiveTab reactive guard + QuizQuestionView
- lesson/[slug]/lesson.svelte.ts: atomic startQuiz, getExitStatus, idempotent
submit on navigate/exit
- lib/services/quiz-session.ts (+test), lib/types/quiz.ts, QuizTab.svelte
(mgr-driven), QuizQuestionView.svelte, lesson.css
- services/lesson_service.py, services/tests/test_lesson_service_quiz.py
(test_lesson_service_quiz.py), requirements.txt (+pytest)
- docs/07-quiz-authoring.md
- version.ts APP_VERSION 21 -> 22 (forces SW update for the fix)
- examples/content/dasar/quiz_test.md synced to live content root
2026-08-01 00:14:29 +07:00
### Perhatikan program berikut:
```c
int x = 2;
printf("%d", x * 3);
```
Berapakah keluaran program di atas?
- [] 5
- [] 8
- [x] 6
- [] Error
> Pembahasan: `x * 3` menghasilkan `6` karena nilai `x` adalah `2`.
### Berdasarkan tabel berikut, tipe data mana yang tepat untuk menyimpan `3.14`?
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::diagnostic
|| Tipe | Ukuran | Rentang ||
refactor(quiz): restructure quiz session, question view, and tab safety
Restructure quiz flow into QuizSession primitive + atomic quiz state in
LessonManager, and extract QuizQuestionView for split-view display.
Tab-safety fix: add lesson-tabs.ts with pickDefaultTab(), getAvailableTabs()
mirroring the exact {#if} conditions in +page.svelte, and ensureActiveTab()
safety-net that falls back to pickDefaultTab() when the desired tab is not
rendered. A reactive $effect in lesson/[slug]/+page.svelte validates
activeTab against lesson data on every change, preventing the "tab quiz
kosong" (empty workspace) regression for quiz-only lessons and phantom-tab
state after data changes.
Files:
- lib/services/lesson-tabs.ts (+test): pure helpers, 18 tests pass
- lesson/[slug]/+page.svelte: ensureActiveTab reactive guard + QuizQuestionView
- lesson/[slug]/lesson.svelte.ts: atomic startQuiz, getExitStatus, idempotent
submit on navigate/exit
- lib/services/quiz-session.ts (+test), lib/types/quiz.ts, QuizTab.svelte
(mgr-driven), QuizQuestionView.svelte, lesson.css
- services/lesson_service.py, services/tests/test_lesson_service_quiz.py
(test_lesson_service_quiz.py), requirements.txt (+pytest)
- docs/07-quiz-authoring.md
- version.ts APP_VERSION 21 -> 22 (forces SW update for the fix)
- examples/content/dasar/quiz_test.md synced to live content root
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|--------|--------|--------------------|
| int | 4 byte | -2^31 s/d 2^31-1 |
| float | 4 byte | ~1e-38 s/d ~1e38 |
| double | 8 byte | ~1e-308 s/d ~1e308 |
- [x] double
- [] int
- [] char
> Pembahasan: `double` punya presisi lebih tinggi dan rentang lebih luas untuk bilangan pecahan.
### Berapakah nilai dari $\int_0^1 2x \, dx$?
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::diagnostic
refactor(quiz): restructure quiz session, question view, and tab safety
Restructure quiz flow into QuizSession primitive + atomic quiz state in
LessonManager, and extract QuizQuestionView for split-view display.
Tab-safety fix: add lesson-tabs.ts with pickDefaultTab(), getAvailableTabs()
mirroring the exact {#if} conditions in +page.svelte, and ensureActiveTab()
safety-net that falls back to pickDefaultTab() when the desired tab is not
rendered. A reactive $effect in lesson/[slug]/+page.svelte validates
activeTab against lesson data on every change, preventing the "tab quiz
kosong" (empty workspace) regression for quiz-only lessons and phantom-tab
state after data changes.
Files:
- lib/services/lesson-tabs.ts (+test): pure helpers, 18 tests pass
- lesson/[slug]/+page.svelte: ensureActiveTab reactive guard + QuizQuestionView
- lesson/[slug]/lesson.svelte.ts: atomic startQuiz, getExitStatus, idempotent
submit on navigate/exit
- lib/services/quiz-session.ts (+test), lib/types/quiz.ts, QuizTab.svelte
(mgr-driven), QuizQuestionView.svelte, lesson.css
- services/lesson_service.py, services/tests/test_lesson_service_quiz.py
(test_lesson_service_quiz.py), requirements.txt (+pytest)
- docs/07-quiz-authoring.md
- version.ts APP_VERSION 21 -> 22 (forces SW update for the fix)
- examples/content/dasar/quiz_test.md synced to live content root
2026-08-01 00:14:29 +07:00
- [x] 1
- [] 2
- [] 0.5
- [] Tidak terdefinisi
> Pembahasan: Hasil integralnya adalah $[x^2]_0^1 = 1$.
### Pilih gambar yang melambangkan bahasa C:
- [x] Logo C
- [] Logo Python
- [] Logo Java
feat(quiz): taksonomi key quiz per jenis + MCQ berbobot (partial credit)
Fitur B — setiap jenis soal kini punya key sendiri sehingga model
penilaiannya eksplisit, tidak ditebak dari isi konten:
- ---QUIZ_MCQ--- pilihan ganda biner (tepat satu [x]; larang [N])
- ---QUIZ_WEIGHTED--- pilihan ganda berbobot ([N] >= 1, minimal satu [ ],
bobot tertinggi unik = kunci; poin parsial)
- ---FLASHCARD--- kartu hafalan tanpa penilaian (larang opsi)
- legacy ---QUIZ_FLASHCARD--- / ---INITIAL_QUIZ--- tetap dibaca tanpa
perubahan perilaku (regex opsi legacy sengaja tidak berubah — baris
'- [10]' di konten lama BUKAN opsi); dihapus dari docs/template
- ::diagnostic tetap kategori di dalam QUIZ_MCQ & tetap masuk skor resmi
Model skor: rata-rata persentase per jenis yang ada, Math.round,
lulus >= 75. statusString: "X/Y" bila hanya MCQ/legacy, "P/100" bila ada
weighted, "completed" bila hanya flashcard (auto-lulus). Satu sesi/
attempt untuk semua jenis; soal flat urut dokumen.
Parser (backend & frontend mirror, ekstraksi multi-blok per key urut
dokumen via loop marker-start paling awal; id q-N deterministik):
- lesson_service.py: regex [ xX]?[0-9]* utk key baru, _iter_option_lines
kind-aware, _validate_quiz_options per kind, _parse_flashcards(kind,
id_offset), _extract_quiz_sections + guard loop maju (marker end
hilang tidak lagi infinite loop), get_lesson_quiz_total -> 100 bila
ada weighted (round-trip CSV "P/100")
- parseFlashcards.ts / index.ts / detectActiveTabs.ts / extractSections.ts:
mirror perilaku; heading soal <h3> kini fence-aware (fix fixture stale)
Payload attempt baru: quiz_type, earned_points, question_max_points —
opsional di validasi backend supaya klien lama tetap diterima; poin
di-recompute dari konten saat resume/review.
UI: QuizTab skor via statusString + alert berbasis percent, badge
weighted (✓ 10 / 🟡 7/10 / ✗ 0) di review, preview guru badge bobot +
"Berbobot (total N)", laporan guru badge MCQ/Bobot + tooltip, CSV
progress 2 kolom baru per lesson (_quiz_mcq, _quiz_weighted), template
editor konten QUIZ_MCQ/Quiz Bobot/Flashcard.
Tooling & docs: scripts/convert_quiz_keys.py (konversi legacy -> key
baru per run jenis, idempoten, verifikasi parse identik; examples/
content dikonversi), scanner mendukung semua key, docs/07 ditulis ulang,
docs/15 direvisi ke desain final, README/documentation/docs 02/04/09
diperbarui.
Tes: backend 444 lulus (+33: validasi ketat per key, urutan dokumen,
multi-blok, zero regression, field selalu di-emit), frontend 249 lulus
(+13 parser key baru, +11 model skor), parity fixture diregenerasi,
svelte-check 0 error, vite build OK.
2026-10-25 20:16:56 +07:00
---END_QUIZ_MCQ---
refactor(quiz): restructure quiz session, question view, and tab safety
Restructure quiz flow into QuizSession primitive + atomic quiz state in
LessonManager, and extract QuizQuestionView for split-view display.
Tab-safety fix: add lesson-tabs.ts with pickDefaultTab(), getAvailableTabs()
mirroring the exact {#if} conditions in +page.svelte, and ensureActiveTab()
safety-net that falls back to pickDefaultTab() when the desired tab is not
rendered. A reactive $effect in lesson/[slug]/+page.svelte validates
activeTab against lesson data on every change, preventing the "tab quiz
kosong" (empty workspace) regression for quiz-only lessons and phantom-tab
state after data changes.
Files:
- lib/services/lesson-tabs.ts (+test): pure helpers, 18 tests pass
- lesson/[slug]/+page.svelte: ensureActiveTab reactive guard + QuizQuestionView
- lesson/[slug]/lesson.svelte.ts: atomic startQuiz, getExitStatus, idempotent
submit on navigate/exit
- lib/services/quiz-session.ts (+test), lib/types/quiz.ts, QuizTab.svelte
(mgr-driven), QuizQuestionView.svelte, lesson.css
- services/lesson_service.py, services/tests/test_lesson_service_quiz.py
(test_lesson_service_quiz.py), requirements.txt (+pytest)
- docs/07-quiz-authoring.md
- version.ts APP_VERSION 21 -> 22 (forces SW update for the fix)
- examples/content/dasar/quiz_test.md synced to live content root
2026-08-01 00:14:29 +07:00
feat(quiz): taksonomi key quiz per jenis + MCQ berbobot (partial credit)
Fitur B — setiap jenis soal kini punya key sendiri sehingga model
penilaiannya eksplisit, tidak ditebak dari isi konten:
- ---QUIZ_MCQ--- pilihan ganda biner (tepat satu [x]; larang [N])
- ---QUIZ_WEIGHTED--- pilihan ganda berbobot ([N] >= 1, minimal satu [ ],
bobot tertinggi unik = kunci; poin parsial)
- ---FLASHCARD--- kartu hafalan tanpa penilaian (larang opsi)
- legacy ---QUIZ_FLASHCARD--- / ---INITIAL_QUIZ--- tetap dibaca tanpa
perubahan perilaku (regex opsi legacy sengaja tidak berubah — baris
'- [10]' di konten lama BUKAN opsi); dihapus dari docs/template
- ::diagnostic tetap kategori di dalam QUIZ_MCQ & tetap masuk skor resmi
Model skor: rata-rata persentase per jenis yang ada, Math.round,
lulus >= 75. statusString: "X/Y" bila hanya MCQ/legacy, "P/100" bila ada
weighted, "completed" bila hanya flashcard (auto-lulus). Satu sesi/
attempt untuk semua jenis; soal flat urut dokumen.
Parser (backend & frontend mirror, ekstraksi multi-blok per key urut
dokumen via loop marker-start paling awal; id q-N deterministik):
- lesson_service.py: regex [ xX]?[0-9]* utk key baru, _iter_option_lines
kind-aware, _validate_quiz_options per kind, _parse_flashcards(kind,
id_offset), _extract_quiz_sections + guard loop maju (marker end
hilang tidak lagi infinite loop), get_lesson_quiz_total -> 100 bila
ada weighted (round-trip CSV "P/100")
- parseFlashcards.ts / index.ts / detectActiveTabs.ts / extractSections.ts:
mirror perilaku; heading soal <h3> kini fence-aware (fix fixture stale)
Payload attempt baru: quiz_type, earned_points, question_max_points —
opsional di validasi backend supaya klien lama tetap diterima; poin
di-recompute dari konten saat resume/review.
UI: QuizTab skor via statusString + alert berbasis percent, badge
weighted (✓ 10 / 🟡 7/10 / ✗ 0) di review, preview guru badge bobot +
"Berbobot (total N)", laporan guru badge MCQ/Bobot + tooltip, CSV
progress 2 kolom baru per lesson (_quiz_mcq, _quiz_weighted), template
editor konten QUIZ_MCQ/Quiz Bobot/Flashcard.
Tooling & docs: scripts/convert_quiz_keys.py (konversi legacy -> key
baru per run jenis, idempoten, verifikasi parse identik; examples/
content dikonversi), scanner mendukung semua key, docs/07 ditulis ulang,
docs/15 direvisi ke desain final, README/documentation/docs 02/04/09
diperbarui.
Tes: backend 444 lulus (+33: validasi ketat per key, urutan dokumen,
multi-blok, zero regression, field selalu di-emit), frontend 249 lulus
(+13 parser key baru, +11 model skor), parity fixture diregenerasi,
svelte-check 0 error, vite build OK.
2026-10-25 20:16:56 +07:00
---FLASHCARD---
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### Bagaimana cara menulis komentar satu baris di bahasa C?
Cukup gunakan dua garis miring di awal baris, contoh: `// ini komentar` .
> Penjelasan: Komentar berguna untuk mendokumentasikan kode agar mudah dibaca oleh manusia, dan akan diabaikan oleh compiler.
### Apa fungsi dari `return 0;` di dalam fungsi `main()`?
Menandakan bahwa program telah selesai berjalan dengan sukses tanpa ada error.
feat(quiz): taksonomi key quiz per jenis + MCQ berbobot (partial credit)
Fitur B — setiap jenis soal kini punya key sendiri sehingga model
penilaiannya eksplisit, tidak ditebak dari isi konten:
- ---QUIZ_MCQ--- pilihan ganda biner (tepat satu [x]; larang [N])
- ---QUIZ_WEIGHTED--- pilihan ganda berbobot ([N] >= 1, minimal satu [ ],
bobot tertinggi unik = kunci; poin parsial)
- ---FLASHCARD--- kartu hafalan tanpa penilaian (larang opsi)
- legacy ---QUIZ_FLASHCARD--- / ---INITIAL_QUIZ--- tetap dibaca tanpa
perubahan perilaku (regex opsi legacy sengaja tidak berubah — baris
'- [10]' di konten lama BUKAN opsi); dihapus dari docs/template
- ::diagnostic tetap kategori di dalam QUIZ_MCQ & tetap masuk skor resmi
Model skor: rata-rata persentase per jenis yang ada, Math.round,
lulus >= 75. statusString: "X/Y" bila hanya MCQ/legacy, "P/100" bila ada
weighted, "completed" bila hanya flashcard (auto-lulus). Satu sesi/
attempt untuk semua jenis; soal flat urut dokumen.
Parser (backend & frontend mirror, ekstraksi multi-blok per key urut
dokumen via loop marker-start paling awal; id q-N deterministik):
- lesson_service.py: regex [ xX]?[0-9]* utk key baru, _iter_option_lines
kind-aware, _validate_quiz_options per kind, _parse_flashcards(kind,
id_offset), _extract_quiz_sections + guard loop maju (marker end
hilang tidak lagi infinite loop), get_lesson_quiz_total -> 100 bila
ada weighted (round-trip CSV "P/100")
- parseFlashcards.ts / index.ts / detectActiveTabs.ts / extractSections.ts:
mirror perilaku; heading soal <h3> kini fence-aware (fix fixture stale)
Payload attempt baru: quiz_type, earned_points, question_max_points —
opsional di validasi backend supaya klien lama tetap diterima; poin
di-recompute dari konten saat resume/review.
UI: QuizTab skor via statusString + alert berbasis percent, badge
weighted (✓ 10 / 🟡 7/10 / ✗ 0) di review, preview guru badge bobot +
"Berbobot (total N)", laporan guru badge MCQ/Bobot + tooltip, CSV
progress 2 kolom baru per lesson (_quiz_mcq, _quiz_weighted), template
editor konten QUIZ_MCQ/Quiz Bobot/Flashcard.
Tooling & docs: scripts/convert_quiz_keys.py (konversi legacy -> key
baru per run jenis, idempoten, verifikasi parse identik; examples/
content dikonversi), scanner mendukung semua key, docs/07 ditulis ulang,
docs/15 direvisi ke desain final, README/documentation/docs 02/04/09
diperbarui.
Tes: backend 444 lulus (+33: validasi ketat per key, urutan dokumen,
multi-blok, zero regression, field selalu di-emit), frontend 249 lulus
(+13 parser key baru, +11 model skor), parity fixture diregenerasi,
svelte-check 0 error, vite build OK.
2026-10-25 20:16:56 +07:00
---END_FLASHCARD---
2026-05-11 07:27:15 +07:00
feat(quiz): taksonomi key quiz per jenis + MCQ berbobot (partial credit)
Fitur B — setiap jenis soal kini punya key sendiri sehingga model
penilaiannya eksplisit, tidak ditebak dari isi konten:
- ---QUIZ_MCQ--- pilihan ganda biner (tepat satu [x]; larang [N])
- ---QUIZ_WEIGHTED--- pilihan ganda berbobot ([N] >= 1, minimal satu [ ],
bobot tertinggi unik = kunci; poin parsial)
- ---FLASHCARD--- kartu hafalan tanpa penilaian (larang opsi)
- legacy ---QUIZ_FLASHCARD--- / ---INITIAL_QUIZ--- tetap dibaca tanpa
perubahan perilaku (regex opsi legacy sengaja tidak berubah — baris
'- [10]' di konten lama BUKAN opsi); dihapus dari docs/template
- ::diagnostic tetap kategori di dalam QUIZ_MCQ & tetap masuk skor resmi
Model skor: rata-rata persentase per jenis yang ada, Math.round,
lulus >= 75. statusString: "X/Y" bila hanya MCQ/legacy, "P/100" bila ada
weighted, "completed" bila hanya flashcard (auto-lulus). Satu sesi/
attempt untuk semua jenis; soal flat urut dokumen.
Parser (backend & frontend mirror, ekstraksi multi-blok per key urut
dokumen via loop marker-start paling awal; id q-N deterministik):
- lesson_service.py: regex [ xX]?[0-9]* utk key baru, _iter_option_lines
kind-aware, _validate_quiz_options per kind, _parse_flashcards(kind,
id_offset), _extract_quiz_sections + guard loop maju (marker end
hilang tidak lagi infinite loop), get_lesson_quiz_total -> 100 bila
ada weighted (round-trip CSV "P/100")
- parseFlashcards.ts / index.ts / detectActiveTabs.ts / extractSections.ts:
mirror perilaku; heading soal <h3> kini fence-aware (fix fixture stale)
Payload attempt baru: quiz_type, earned_points, question_max_points —
opsional di validasi backend supaya klien lama tetap diterima; poin
di-recompute dari konten saat resume/review.
UI: QuizTab skor via statusString + alert berbasis percent, badge
weighted (✓ 10 / 🟡 7/10 / ✗ 0) di review, preview guru badge bobot +
"Berbobot (total N)", laporan guru badge MCQ/Bobot + tooltip, CSV
progress 2 kolom baru per lesson (_quiz_mcq, _quiz_weighted), template
editor konten QUIZ_MCQ/Quiz Bobot/Flashcard.
Tooling & docs: scripts/convert_quiz_keys.py (konversi legacy -> key
baru per run jenis, idempoten, verifikasi parse identik; examples/
content dikonversi), scanner mendukung semua key, docs/07 ditulis ulang,
docs/15 direvisi ke desain final, README/documentation/docs 02/04/09
diperbarui.
Tes: backend 444 lulus (+33: validasi ketat per key, urutan dokumen,
multi-blok, zero regression, field selalu di-emit), frontend 249 lulus
(+13 parser key baru, +11 model skor), parity fixture diregenerasi,
svelte-check 0 error, vite build OK.
2026-10-25 20:16:56 +07:00
---QUIZ_MCQ---
2026-07-21 20:50:01 +07:00
### Apa warna langit pada siang hari?
image: demo_quiz.png
- [x] Biru
- [] Hijau
- [] Merah
- [] Kuning
> Penjelasan: Langit terlihat biru karena hamburan Rayleigh — cahaya matahari dihamburkan oleh atmosfer bumi.
feat(quiz): taksonomi key quiz per jenis + MCQ berbobot (partial credit)
Fitur B — setiap jenis soal kini punya key sendiri sehingga model
penilaiannya eksplisit, tidak ditebak dari isi konten:
- ---QUIZ_MCQ--- pilihan ganda biner (tepat satu [x]; larang [N])
- ---QUIZ_WEIGHTED--- pilihan ganda berbobot ([N] >= 1, minimal satu [ ],
bobot tertinggi unik = kunci; poin parsial)
- ---FLASHCARD--- kartu hafalan tanpa penilaian (larang opsi)
- legacy ---QUIZ_FLASHCARD--- / ---INITIAL_QUIZ--- tetap dibaca tanpa
perubahan perilaku (regex opsi legacy sengaja tidak berubah — baris
'- [10]' di konten lama BUKAN opsi); dihapus dari docs/template
- ::diagnostic tetap kategori di dalam QUIZ_MCQ & tetap masuk skor resmi
Model skor: rata-rata persentase per jenis yang ada, Math.round,
lulus >= 75. statusString: "X/Y" bila hanya MCQ/legacy, "P/100" bila ada
weighted, "completed" bila hanya flashcard (auto-lulus). Satu sesi/
attempt untuk semua jenis; soal flat urut dokumen.
Parser (backend & frontend mirror, ekstraksi multi-blok per key urut
dokumen via loop marker-start paling awal; id q-N deterministik):
- lesson_service.py: regex [ xX]?[0-9]* utk key baru, _iter_option_lines
kind-aware, _validate_quiz_options per kind, _parse_flashcards(kind,
id_offset), _extract_quiz_sections + guard loop maju (marker end
hilang tidak lagi infinite loop), get_lesson_quiz_total -> 100 bila
ada weighted (round-trip CSV "P/100")
- parseFlashcards.ts / index.ts / detectActiveTabs.ts / extractSections.ts:
mirror perilaku; heading soal <h3> kini fence-aware (fix fixture stale)
Payload attempt baru: quiz_type, earned_points, question_max_points —
opsional di validasi backend supaya klien lama tetap diterima; poin
di-recompute dari konten saat resume/review.
UI: QuizTab skor via statusString + alert berbasis percent, badge
weighted (✓ 10 / 🟡 7/10 / ✗ 0) di review, preview guru badge bobot +
"Berbobot (total N)", laporan guru badge MCQ/Bobot + tooltip, CSV
progress 2 kolom baru per lesson (_quiz_mcq, _quiz_weighted), template
editor konten QUIZ_MCQ/Quiz Bobot/Flashcard.
Tooling & docs: scripts/convert_quiz_keys.py (konversi legacy -> key
baru per run jenis, idempoten, verifikasi parse identik; examples/
content dikonversi), scanner mendukung semua key, docs/07 ditulis ulang,
docs/15 direvisi ke desain final, README/documentation/docs 02/04/09
diperbarui.
Tes: backend 444 lulus (+33: validasi ketat per key, urutan dokumen,
multi-blok, zero regression, field selalu di-emit), frontend 249 lulus
(+13 parser key baru, +11 model skor), parity fixture diregenerasi,
svelte-check 0 error, vite build OK.
2026-10-25 20:16:56 +07:00
---END_QUIZ_MCQ---
2026-07-21 20:50:01 +07:00
