SKKNI BNSP OCCUPATIONAL SCHEME•Kementerian Komunikasi dan Digital RI (Komdigi) — DTS• Requirements Completed (Pending Certificate Issuance)

Komdigi DTS: Associate Data Scientist + Python

SKKNI BNSP National Occupational Schema: Ilmuwan Data Muda (12 Core Competency Units)

KomdigiSKKNI BNSPPythonData CleansingEDAMachine LearningData Scraping

TRACK COMPLETION PROGRESS:12/12 SKKNI Units Completed (100%)

TIMELINE: BATCH 1 (2026) – 2026STATUS: REQUIREMENTS COMPLETED (PENDING CERTIFICATE ISSUANCE)

CORE OBJECTIVE & TECHNICAL FOCUS

"Completed the 12-unit national SKKNI curriculum for Associate Data Scientist (Ilmuwan Data Muda) under Komdigi Digital Talent Scholarship, validating end-to-end Python data collection, cleansing, exploratory analysis, and supervised machine learning."

// ENROLLED MODULES & CURRICULUM (6)

UK 01: Mengumpulkan Data (Multi-Source Extraction)Core SKKNI

Ingesting CSV, JSON, Parquet, API requests, and SQL databases using Python (pd.read_sql, requests, sqlite3).

Status: CompletedCurriculum ↗

UK 02: Menelaah Data (Exploratory Data Analysis)Core SKKNI

Diagnostic statistics, feature skewness analysis, correlation heatmaps, and data type profiling.

Status: CompletedCurriculum ↗

UK 03: Membersihkan Data (Data Preprocessing Pipeline)Core SKKNI

Handling missing values, IQR/Z-score outlier detection, deduplication, and feature normalization.

Status: CompletedCurriculum ↗

UK 04: Menentukan Label Data & Ground-TruthCore SKKNI

Categorical encoding (One-Hot / Label), target variable definition, and stratified train-test splitting.

Status: CompletedCurriculum ↗

UK 05–08: Machine Learning Baseline & EvaluationCore SKKNI

Building Scikit-Learn supervised classification/regression baselines and computing confusion matrices, F1-scores, and MSE.

Status: CompletedCurriculum ↗

UK 09–12: Data Scraping, Annotation & Final AssessmentComprehensive

Web scraping ethical standards, structured data annotation, and comprehensive BNSP test simulations.

Status: CompletedCurriculum ↗

NOTE

National Occupational Program Metadata:

- Authority: Kementerian Komunikasi dan Digital RI (Komdigi) — Digital Talent Academy (DEX)

- Scheme: Standar Kompetensi Kerja Nasional Indonesia (SKKNI) — Ilmuwan Data Muda (Associate Data Scientist)

- Official Program Portal: `s.komdigi.go.id/associate-data-scientist`

- Status: 100% Curriculum & Practical Competency Completed (Awaiting administrative certificate release)

01. National Curriculum & SKKNI Alignment

The Associate Data Scientist + Python - Nasional program is an official occupational track established by Komdigi aligned with the National Agency for Professional Certification (BNSP).

It provides rigorous standardization for data practitioners in data manipulation, feature engineering, and predictive modeling using modern Python ecosystems (Pandas, NumPy, Scikit-Learn, Seaborn).

02. 12 SKKNI Competency Unit Coverage

Unit Category	Unit ID / Title	Technical Python Stack	Evidence Deliverable
Ingestion	UK 01: Mengumpulkan Data	`requests`, `sqlite3`, `pd.read_sql`	Multi-source ingestion & data schema validator script.
Diagnostics	UK 02: Menelaah Data	`df.describe()`, `seaborn.heatmap`	Full EDA statistical notebook with outlier analysis.
Cleansing	UK 03: Membersihkan Data	`df.fillna()`, `IQR clipping`, `StandardScaler`	Modular automated cleaning pipeline.
Labeling	UK 04: Menentukan Label Data	`OneHotEncoder`, `train_test_split(stratify=y)`	Machine learning-ready training & test partitions.
Modeling	UK 05–08: Pemodelan Data	`LogisticRegression`, `RandomForest`, `DecisionTree`	Cross-validated model evaluation report (ROC, F1).
Scraping & Annotation	UK 09–12: Web Data & Assessment	`BeautifulSoup4`, Annotation Schemas	Web scraping script & perfect final assessment score.

03. End-to-End Architectural Pipeline

MERMAID
5 LINES

flowchart LR
    A["Raw Ingestion<br/>(SQL / CSV / API)"] --> B["Data Cleansing<br/>(Imputation & Outliers)"]
    B --> C["EDA & Feature Encoding<br/>(Categorical & Numeric)"]
    C --> D["Supervised Modeling<br/>(Scikit-Learn Baselines)"]
    D --> E["Model Evaluation<br/>(F1-Score / Accuracy / ROC)"]

IMPORTANT

Operational Status: All 12 unit modules and final assessment quizzes are 100% completed. Certificate issuance is in administrative processing by Komdigi.