Power BI Dev
afb9e72ba2
- Halaman nilai: tombol isi-cepat per komponen penilaian (bagian G RPS) yang menyalin nilai ke seluruh Sub-CPMK terkait; komponen berulang (Kuis, Tugas, Presentasi, Tes Lisan) mendukung banyak sesi dengan rata-rata otomatis, komponen sekali-jalan (UTS/UAS) mengedit sesi yang sama. Sub-CPMK yang diukur >1 komponen digulung rata tertimbang bobot (hitung.skor_dari_sesi). - Hapus jalur unggah Excel & mode "ketik rata-rata kelas" (agregat) dari input nilai — proses diseragamkan: hanya grid manual + tombol komponen, keduanya bersumber dari daftar mahasiswa impor kaprodi. - Dasbor Monitoring, Rekap CPL/CPMK, dan Riwayat kini khusus kaprodi (dosen tidak lagi melihat rollup lintas-MK yang bukan miliknya). - Penugasan dosen ke MK bisa dibatasi per kelas (kolom kelas baru di tabel penugasan, migrasi otomatis & aman untuk DB yang sudah berjalan) — dosen MK dengan banyak kelas paralel hanya melihat & menilai kelasnya sendiri; hapus nilai MK penuh dikunci untuk dosen yang dibatasi kelas.
277 lines
11 KiB
Python
277 lines
11 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Mesin pengukuran ketercapaian CPL/CPMK (inti OBE).
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Kebijakan (RANCANGAN.md §7, disepakati 13 Jul 2026):
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- Nilai dicatat per mahasiswa per Sub-CPMK (mengikuti format contoh portofolio);
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mode 'agregat' (rata-rata kelas per Sub-CPMK) diperbolehkan tapi ditandai.
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- Roll-up dalam MK : Sub-CPMK → CPMK → CPL, rata-rata sederhana (bagi rata).
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- Roll-up prodi : CPMK prodi = rata-rata lintas MK pengukurnya;
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CPL = rata-rata CPMK pendukungnya. Opsi tertimbang SKS
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tersedia via pengaturan 'metode_antar_mk' = 'sks'
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(butuh data SKS; tanpa data SKS jatuh ke bagi rata).
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- % kelulusan = persentase mahasiswa dengan skor ≥ ambang (hanya mode
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per-mahasiswa; mode agregat tidak menghasilkan % kelulusan).
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"""
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import statistics
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from . import db
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def _rata(xs):
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xs = [x for x in xs if x is not None]
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return sum(xs) / len(xs) if xs else None
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def parse_skala(teks: str) -> list[dict]:
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"""'A+|91|100|4.00' per baris → [{'huruf','lo','hi','angka'}] terurut turun."""
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out = []
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for line in (teks or "").splitlines():
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bag = [b.strip() for b in line.split("|")]
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if len(bag) >= 3:
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try:
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out.append({
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"huruf": bag[0], "lo": float(bag[1]), "hi": float(bag[2]),
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"angka": float(bag[3]) if len(bag) > 3 else None,
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})
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except ValueError:
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continue
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return sorted(out, key=lambda s: -s["lo"])
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def huruf_mutu(skor: float, skala: list[dict]) -> str:
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for s in skala:
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if s["lo"] <= skor <= s["hi"]:
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return s["huruf"]
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return "?"
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def skor_sub(nilai_data: dict, ambang: float) -> dict:
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"""Skor per Sub-CPMK dari data nilai tersimpan.
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nilai_data = {"mode": "per_mahasiswa"|"agregat",
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"mahasiswa": [{"npm","nama","skor":{sub: nilai}}] |
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"agregat": {sub: rata}}
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→ {sub: {"rata": x, "n": jumlah_mhs, "lulus_pct": y|None}}
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"""
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out = {}
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if nilai_data.get("mode") == "per_mahasiswa":
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per_sub: dict[str, list[float]] = {}
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for m in nilai_data.get("mahasiswa", []):
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for sub, v in (m.get("skor") or {}).items():
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if v is not None:
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per_sub.setdefault(sub, []).append(float(v))
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for sub, xs in per_sub.items():
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out[sub] = {
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"rata": _rata(xs),
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"n": len(xs),
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"lulus_pct": 100.0 * sum(1 for x in xs if x >= ambang) / len(xs),
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}
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else:
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for sub, v in (nilai_data.get("agregat") or {}).items():
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if v in (None, ""):
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continue
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out[sub] = {"rata": float(v), "n": None, "lulus_pct": None}
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return out
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def bobot_sub_dari_rps(rps_data: dict | None) -> dict[str, float]:
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"""Bobot (%) tiap Sub-CPMK = jumlah porsi bagi-rata dari komponen RPS (kisi-kisi)."""
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bobot: dict[str, float] = {}
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if not rps_data:
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return bobot
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for k in rps_data.get("komponen", []):
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subs = k.get("subs", [])
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try:
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b = float(k.get("bobot") or 0)
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except (TypeError, ValueError):
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continue
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for s in subs:
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bobot[s] = bobot.get(s, 0.0) + b / len(subs)
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return bobot
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def skor_dari_sesi(komponen_daftar: list[dict], sesi: dict) -> dict[str, dict[str, float]]:
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"""npm -> {sub: skor}, dihitung dari log sesi input per-komponen (tombol
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'isi per komponen' di halaman nilai): rata sederhana antar sesi dalam
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komponen yang sama (mis. beberapa kali Kuis), lalu rata tertimbang bobot
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antar-komponen bila satu Sub-CPMK diukur oleh >1 komponen (mis. Kuis dan
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Presentasi sama-sama menilai satu Sub-CPMK) — bobot mengikuti alokasi
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yang sama dengan bobot_sub_dari_rps (bobot komponen dibagi rata ke subnya).
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"""
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komponen_by_i = {k["i"]: k for k in komponen_daftar}
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per_komponen_avg: dict[int, dict[str, float]] = {}
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for i_str, daftar_sesi in (sesi or {}).items():
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try:
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i = int(i_str)
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except (TypeError, ValueError):
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continue
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if i not in komponen_by_i or not daftar_sesi:
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continue
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per_npm: dict[str, list[float]] = {}
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for s in daftar_sesi:
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for npm, v in (s.get("nilai") or {}).items():
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if v is not None:
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per_npm.setdefault(npm, []).append(float(v))
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per_komponen_avg[i] = {npm: _rata(xs) for npm, xs in per_npm.items()}
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kontribusi_per_sub: dict[str, list[tuple[float, dict]]] = {}
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for i, avg_map in per_komponen_avg.items():
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k = komponen_by_i[i]
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try:
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bobot = float(k.get("bobot") or 0)
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except (TypeError, ValueError):
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bobot = 0
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n_subs = len(k["subs"]) or 1
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w = bobot / n_subs if bobot else 1.0
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for sub in k["subs"]:
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kontribusi_per_sub.setdefault(sub, []).append((w, avg_map))
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out: dict[str, dict[str, float]] = {}
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for sub, kontribusi in kontribusi_per_sub.items():
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npms: set[str] = set()
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for _, avg_map in kontribusi:
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npms |= avg_map.keys()
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for npm in npms:
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pasangan = [(w, avg_map[npm]) for w, avg_map in kontribusi if npm in avg_map]
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total_w = sum(w for w, _ in pasangan)
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nilai = (sum(w * v for w, v in pasangan) / total_w) if total_w \
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else _rata([v for _, v in pasangan])
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out.setdefault(npm, {})[sub] = nilai
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return out
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def nilai_akhir_mahasiswa(nilai_data: dict, bobot_sub: dict[str, float]) -> list[dict]:
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"""Nilai akhir tertimbang bobot Sub-CPMK per mahasiswa (mode per_mahasiswa)."""
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out = []
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for m in nilai_data.get("mahasiswa", []):
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skor = m.get("skor") or {}
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pasangan = [(bobot_sub.get(s), v) for s, v in skor.items() if v is not None]
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berbobot = [(b, v) for b, v in pasangan if b]
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if berbobot:
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total_b = sum(b for b, _ in berbobot)
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akhir = sum(b * v for b, v in berbobot) / total_b
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else: # RPS belum mengisi bobot → rata-rata sederhana
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akhir = _rata([v for _, v in pasangan])
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if akhir is not None:
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out.append({"npm": m.get("npm", ""), "nama": m.get("nama", ""),
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"akhir": akhir})
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return out
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def statistik_akhir(akhir: list[dict], skala: list[dict]) -> dict | None:
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xs = [a["akhir"] for a in akhir]
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if not xs:
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return None
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frek = {s["huruf"]: 0 for s in skala}
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for x in xs:
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h = huruf_mutu(x, skala)
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frek[h] = frek.get(h, 0) + 1
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return {
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"n": len(xs),
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"mean": statistics.mean(xs),
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"median": statistics.median(xs),
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"stdev": statistics.stdev(xs) if len(xs) > 1 else 0.0,
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"min": min(xs),
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"max": max(xs),
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"range": max(xs) - min(xs),
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"frekuensi": frek,
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}
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def rollup_mk(peta: dict, nilai_data: dict, ambang: float) -> dict:
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"""Ketercapaian satu MK: per Sub-CPMK → CPMK → CPL (bagi rata)."""
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sub = skor_sub(nilai_data, ambang)
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cpmk: dict[str, dict] = {}
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for c in peta["cpmks"]:
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skor = _rata([sub[s["kode"]]["rata"] for s in c["subs"] if s["kode"] in sub])
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n_ternilai = sum(1 for s in c["subs"] if s["kode"] in sub)
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cpmk[c["kode"]] = {"skor": skor, "cpl": c["cpl"],
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"n_sub": len(c["subs"]), "n_ternilai": n_ternilai}
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cpl: dict[str, dict] = {}
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for cp in peta["cpls"]:
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skor = _rata([v["skor"] for v in cpmk.values()
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if cp["kode"] in v["cpl"] and v["skor"] is not None])
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cpl[cp["kode"]] = {"skor": skor}
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return {"sub": sub, "cpmk": cpmk, "cpl": cpl,
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"mode": nilai_data.get("mode", "agregat")}
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def rollup_prodi(tahun: str | None = None) -> dict:
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"""Ketercapaian tingkat prodi + kelengkapan bukti per CPL/CPMK."""
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tahun = tahun or db.tahun_aktif()
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pengaturan = db.ambil_pengaturan()
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ambang = float(pengaturan["ambang"])
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pakai_sks = pengaturan.get("metode_antar_mk") == "sks"
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sks = db.sks_mk() if pakai_sks else {}
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k = db.kurikulum()
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semua = db.semua_nilai(tahun)
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def rata_antar_mk(entri):
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"""Skor CPMK lintas MK: bagi rata, atau tertimbang SKS bila diatur."""
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if not entri:
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return None
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if pakai_sks and sks:
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bobot = [(float(sks.get(mk, {}).get("sks") or 0), s) for mk, s, _ in entri]
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total = sum(b for b, _ in bobot if b)
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if total:
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return sum(b * s for b, s in bobot if b) / total
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return _rata([s for _, s, _ in entri])
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# skor CPMK per MK
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per_cpmk: dict[str, list[tuple[str, float, str]]] = {} # key cpmk → [(mk, skor, mode)]
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for mk_kode, nilai_data in semua.items():
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peta = db.peta_mk(mk_kode)
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if not peta:
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continue
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hasil = rollup_mk(peta, nilai_data, ambang)
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for kode_cpmk, v in hasil["cpmk"].items():
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if v["skor"] is not None:
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per_cpmk.setdefault(kode_cpmk, []).append(
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(mk_kode, v["skor"], hasil["mode"])
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)
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# CPMK prodi = bagi rata lintas MK pengukur; kelengkapan = pengukur/pemikul
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cpmk_prodi: dict[str, dict] = {}
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for ckey, info in k["cpmk"].items():
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kode = info.get("kode", ckey)
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pemikul = info.get("mk", [])
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entri = per_cpmk.get(kode, [])
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cpmk_prodi[kode] = {
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"kode": kode,
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"cpl": info.get("cpl", []),
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"skor": rata_antar_mk(entri),
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"n_pemikul": len(pemikul),
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"n_setor": len(entri),
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"ada_agregat": any(m == "agregat" for _, _, m in entri),
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"mk_terlemah": min(entri, key=lambda e: e[1])[:2] if entri else None,
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}
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# CPL = bagi rata CPMK pendukung
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cpl_prodi: dict[str, dict] = {}
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for kode_cpl, info in k["cpl"].items():
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pendukung = [c for c in cpmk_prodi.values() if kode_cpl in c["cpl"]]
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ternilai = [c for c in pendukung if c["skor"] is not None]
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skor = _rata([c["skor"] for c in ternilai])
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terlemah = min(ternilai, key=lambda c: c["skor"]) if ternilai else None
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cpl_prodi[kode_cpl] = {
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"kode": kode_cpl,
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"desk": info["desk"],
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"skor": skor,
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"tercapai": (skor is not None and skor >= ambang),
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"n_cpmk": len(pendukung),
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"n_cpmk_ternilai": len(ternilai),
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"n_mk_pemikul": sum(c["n_pemikul"] for c in pendukung),
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"n_mk_setor": sum(c["n_setor"] for c in pendukung),
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"ada_agregat": any(c["ada_agregat"] for c in ternilai),
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"cpmk_terlemah": terlemah["kode"] if terlemah else None,
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"mk_terlemah": (terlemah["mk_terlemah"] if terlemah else None),
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}
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return {"cpl": cpl_prodi, "cpmk": cpmk_prodi, "ambang": ambang,
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"n_mk_setor": len(semua), "tahun": tahun,
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"metode": "sks" if (pakai_sks and sks) else "rata"}
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