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PERFECT EXAM SCORE 100.00•Kementerian Komunikasi dan Digital RI (Komdigi) — DTS• Completed (Perfect Score 100.00 / 100.00)

Komdigi DTS: Data Scientist - Nasional (SKKNI 299/2020)

CRISP-DM Business Objective Formulation, Technical KPI Charters, 5-Fold Modeling & Diagnostic ROC-AUC Review

KomdigiCRISP-DMSKKNI 299/2020Model BenchmarkingROC-AUC DiagnosticsPython
TRACK COMPLETION PROGRESS:4/4 Exam Units Passed (100.00/100.00) (100%)
TIMELINE: 2026 – 2026STATUS: COMPLETED (PERFECT SCORE 100.00 / 100.00)
CORE OBJECTIVE & TECHNICAL FOCUS

"Achieved a perfect 100.00/100.00 score in the national final assessment for Data Scientist (SKKNI 299/2020), mastering CRISP-DM business framing, technical KPI charters, model benchmarking, and validation diagnostics."

// ENROLLED MODULES & CURRICULUM (5)

UK 1: Menentukan Objektif Bisnis (CRISP-DM Formulation)National Exam

CRISP-DM phase 1 scoping, aligning commercial objectives with data-driven initiatives, and defining risk-adjusted success metrics (Code: J.62DSI00.001.1).

UK 2: Menentukan Tujuan Teknis Data Science & KPI ChartersNational Exam

Translating business goals into technical machine learning targets (F1-score, Precision, Recall, Latency) and project charter specs (Code: J.62DSI00.002.1).

UK 3: Membangun Skenario Model & 5-Fold ValidationNational Exam

Designing cross-validation splits, data partitions, and reproducible experimental pipelines in Python (Code: J.62DSI00.003.1).

UK 4: Melakukan Proses Review Pemodelan & Diagnostic ReviewNational Exam

6-model benchmarking suite, confusion matrix analysis, ROC-AUC curve diagnostics, and residual verification (Code: J.62DSI00.004.1).

Final National Assessment: Data Scientist (SKKNI 299/2020)Capstone Exam

Comprehensive theoretical and practical examination covering full SKKNI 299/2020 data science standards.

NOTE

National Examination Scorecard:

- Authority: Kementerian Komunikasi dan Digital RI (Komdigi) — Course ID: 1629

- Standard: SKKNI Nomor 299 Tahun 2020 (Bidang Keahlian Data Science)

- Overall Score: 100.00 / 100.00 (PERFECT GRADE)

- Status: All Units Completed & Passed with Distinction


01. Examination Results & Performance Breakdown

Unit Kompetensi / AssessmentSKKNI Unit CodeScore AchievedStatus
UK 1: Menentukan Objektif Bisnis (CRISP-DM)J.62DSI00.001.1100.00 / 100.00🟢 Passed (Perfect)
UK 2: Menentukan Tujuan Teknis Data ScienceJ.62DSI00.002.1100.00 / 100.00🟢 Passed (Perfect)
UK 3: Membangun Skenario ModelJ.62DSI00.003.1100.00 / 100.00🟢 Passed (Perfect)
UK 4: Melakukan Proses Review PemodelanJ.62DSI00.004.190.00 / 100.00🟢 Passed
FINAL ASSESSMENT DATA SCIENTISTSKKNI 299/2020100.00 / 100.00🟢 PERFECT SCORE

02. CRISP-DM National Methodology

MERMAID
5 LINES
flowchart LR
    A["UK 1: Business Scoping<br/>(CRISP-DM Phase 1)"] --> B["UK 2: Technical KPI Charter<br/>(Precision / Recall / AUC)"]
    B --> C["UK 3: Validation Skenario<br/>(5-Fold Stratified Split)"]
    C --> D["UK 4: Diagnostic Review<br/>(6-Model Benchmark Suite)"]
    D --> E["Final Assessment<br/>(100.00 / 100.00 Score)"]

03. Core Capabilities Validated

  1. CRISP-DM Business Translation: Deconstructing executive problems into quantitative machine learning experiments.
  2. Reproducible Validation Pipelines: Implementing strict 5-fold cross-validation preventing data leakage.
  3. Multi-Model Benchmark Diagnostics: Rigorous diagnostic comparison across Logistic Regression, Random Forest, XGBoost, and Gradient Boosting.
  4. ROC-AUC & Error Distribution Analysis: Evaluating threshold sensitivity and commercial cost-of-misclassification tradeoffs.

IMPORTANT

Status: Examination requirements completed with perfect marks. Formal administrative certificate release pending from Komdigi.