mora-learningbuddy / app /data /Sub_skill.json
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[
{
"role_name": "AI Engineer",
"description": "Profesional yang membangun dan mengoptimalkan model AI.",
"sub_skills": [
{
"id": "python_data_science",
"name": "Python for Data Science",
"levels": {
"beginner": {
"description": "Memahami sintaks dasar Python dan struktur data.",
"exam_topics": [
"Variables",
"Data Types",
"List/Dictionary",
"Control Flow"
],
"recommendation": {
"course_name": "Memulai Pemrograman dengan Python",
"specific_chapters": [
"Variable dan Assignment",
"Tipe Data",
"Kuis Coding: Variabel dan Assignment"
]
}
},
"intermediate": {
"description": "Mampu menggunakan fungsi, loop kompleks, dan OOP dasar.",
"exam_topics": [
"Functions",
"Loops",
"Object-Oriented Programming (OOP)"
],
"recommendation": {
"course_name": "Memulai Pemrograman dengan Python",
"specific_chapters": [
"Fungsi",
"Perulangan",
"Pengenalan Kelas",
"Kuis Object-Oriented Programming (OOP)"
]
}
},
"advanced": {
"description": "Menguasai library data, unit testing, dan style guide.",
"exam_topics": [
"Unit Testing",
"Matriks",
"Library Pengolahan Data"
],
"recommendation": {
"course_name": "Memulai Pemrograman dengan Python",
"specific_chapters": [
"Pengantar Unit Testing",
"Implementasi Matriks pada Python",
"Library Machine Learning"
]
}
}
}
},
{
"id": "ml_fundamentals",
"name": "Machine Learning Fundamentals",
"levels": {
"beginner": {
"description": "Paham konsep dasar AI, Machine Learning, dan Taksonomi.",
"exam_topics": [
"AI Taxonomy",
"Supervised vs Unsupervised",
"Data Splitting"
],
"recommendation": {
"course_name": "Belajar Dasar AI",
"specific_chapters": [
"Taksonomi AI",
"Tipe-Tipe Machine Learning",
"Machine Learning Workflow"
]
}
},
"intermediate": {
"description": "Mampu menangani regresi, klasifikasi, dan data cleaning.",
"exam_topics": [
"Linear Regression",
"Decision Tree",
"Handling Missing Value",
"Overfitting"
],
"recommendation": {
"course_name": "Belajar Machine Learning untuk Pemula",
"specific_chapters": [
"Rangkuman Supervised Learning - Regresi",
"Decision Tree",
"Penanganan Outlier",
"Metode Deteksi Overfitting dan Underfitting"
]
}
},
"advanced": {
"description": "Menguasai unsupervised learning, tuning, dan evaluasi model kompleks.",
"exam_topics": [
"Clustering (K-Means/DBSCAN)",
"Hyperparameter Tuning (Grid Search)",
"Dimensionality Reduction (PCA)"
],
"recommendation": {
"course_name": "Belajar Machine Learning untuk Pemula",
"specific_chapters": [
"K-Means Clustering",
"DBSCAN",
"Grid Search",
"Dimensionality Reduction : LDA, PCA, dan t-SNE"
]
}
}
}
},
{
"id": "computer_vision",
"name": "Computer Vision",
"levels": {
"beginner": {
"description": "Paham dasar CNN dan pengolahan citra sederhana.",
"exam_topics": [
"CNN Architecture",
"Convolutions",
"Pooling",
"Image Preprocessing"
],
"recommendation": {
"course_name": "Belajar Fundamental Deep Learning",
"specific_chapters": [
"Dasar-Dasar Convolutional Neural Networks (CNNs)",
"Pembuatan Model Klasifikasi Gambar dengan CNN",
"Image Generation"
]
}
},
"intermediate": {
"description": "Mampu melakukan Transfer Learning dan Object Detection dasar.",
"exam_topics": [
"Transfer Learning",
"Object Detection Concepts",
"Dropout/Batch Normalization"
],
"recommendation": {
"course_name": "Machine Learning Terapan",
"specific_chapters": [
"Pengenalan Transfer Learning",
"Pengenalan Object Detection",
"Teknik-teknik Object Detection"
]
}
},
"advanced": {
"description": "Menguasai segmentasi gambar dan kustomisasi model visual.",
"exam_topics": [
"Image Segmentation",
"Advanced Object Detection",
"Custom Loss for Vision"
],
"recommendation": {
"course_name": "Membangun Proyek Deep Learning Tingkat Mahir",
"specific_chapters": [
"Image Segmentation dengan Deep Learning",
"Klasifikasi Gambar Lanjutan",
"Berkenalan dengan Object Detection"
]
}
}
}
},
{
"id": "nlp",
"name": "Natural Language Processing (NLP)",
"levels": {
"beginner": {
"description": "Dasar pemrosesan teks, tokenisasi, dan klasifikasi teks sederhana.",
"exam_topics": [
"Tokenization",
"Text Cleaning",
"Binary Classification"
],
"recommendation": {
"course_name": "Belajar Fundamental Deep Learning",
"specific_chapters": [
"Pengenalan Natural Language Processing",
"Latihan Pra-pemrosesan Teks",
"Binary vs Multiclass vs Multilabel Classification pada Text"
]
}
},
"intermediate": {
"description": "Memahami RNN, LSTM, dan Analisis Sentimen.",
"exam_topics": [
"RNN",
"LSTM",
"Sentiment Analysis",
"Word Embeddings"
],
"recommendation": {
"course_name": "Belajar Fundamental Deep Learning",
"specific_chapters": [
"Pengenalan Recurrent Neural Network",
"Algoritma RNN",
"Proyek Analisis Sentimen"
]
}
},
"advanced": {
"description": "Menguasai Transformers, Attention Mechanism, dan NLU lanjutan.",
"exam_topics": [
"Transformers",
"Attention Mechanism",
"Sequence to Sequence",
"IndoNLU"
],
"recommendation": {
"course_name": "Membangun Proyek Deep Learning Tingkat Mahir",
"specific_chapters": [
"Mengenal Transformer dalam NLP",
"Latihan Membangun Model Transformer Milik Kita Sendiri",
"Pengenalan IndoNLU"
]
}
}
}
},
{
"id": "time_series",
"name": "Time Series Analysis",
"levels": {
"beginner": {
"description": "Konsep dasar data deret waktu dan preprocessing.",
"exam_topics": [
"Time Series Basics",
"Trend & Seasonality",
"Data Splitting for Time Series"
],
"recommendation": {
"course_name": "Belajar Fundamental Deep Learning",
"specific_chapters": [
"Pengenalan Time Series",
"Data Preprocessing untuk Time Series",
"Tipe-Tipe Time Series"
]
}
},
"intermediate": {
"description": "Membuat model forecasting menggunakan LSTM.",
"exam_topics": [
"LSTM for Time Series",
"Windowing",
"MAE/Huber Loss"
],
"recommendation": {
"course_name": "Belajar Fundamental Deep Learning",
"specific_chapters": [
"Machine Learning pada Time Series",
"Proyek Kedua : Membuat Model Machine Learning dengan Data Time Series"
]
}
},
"advanced": {
"description": "Analisis Time Series tingkat lanjut dengan kustomisasi.",
"exam_topics": [
"Advanced Preprocessing",
"Custom Model for Time Series"
],
"recommendation": {
"course_name": "Membangun Proyek Deep Learning Tingkat Mahir",
"specific_chapters": [
"Eksplorasi Data dalam Time Series",
"Data Preprocessing Lanjutan Untuk Time Series",
"Latihan Custom Model... pada Time Series Model"
]
}
}
}
},
{
"id": "recommender_system",
"name": "Recommender Systems",
"levels": {
"beginner": {
"description": "Memahami konsep Content-Based Filtering.",
"exam_topics": [
"Content-Based Filtering",
"TF-IDF",
"Cosine Similarity"
],
"recommendation": {
"course_name": "Machine Learning Terapan",
"specific_chapters": [
"Pengenalan Sistem Rekomendasi",
"Content Based Filtering",
"Feature Engineering dengan TF-IDF"
]
}
},
"intermediate": {
"description": "Memahami Collaborative Filtering.",
"exam_topics": [
"Collaborative Filtering",
"User-Item Matrix",
"Embedding Layers"
],
"recommendation": {
"course_name": "Machine Learning Terapan",
"specific_chapters": [
"Collaborative Filtering",
"Model Development dengan Collaborative Filtering"
]
}
},
"advanced": {
"description": "Sistem rekomendasi Hybrid dan Neural Collaborative Filtering.",
"exam_topics": [
"Hybrid Recommender",
"Neural Collaborative Filtering",
"TensorFlow Recommenders"
],
"recommendation": {
"course_name": "Membangun Proyek Deep Learning Tingkat Mahir",
"specific_chapters": [
"Neural Collaborative Filtering",
"Retrieval dalam Sistem Rekomendasi",
"Hybrid Recommender System"
]
}
}
}
},
{
"id": "mlops_deployment",
"name": "MLOps & Deployment",
"levels": {
"beginner": {
"description": "Menyimpan model dan penggunaan TF Lite.",
"exam_topics": ["Saving Models (H5/SavedModel)", "TF Lite Basics"],
"recommendation": {
"course_name": "Belajar Fundamental Deep Learning",
"specific_chapters": [
"Format Penyimpanan Model",
"Pengenalan TensorFlow Lite",
"Latihan: Deploy Model ML Menggunakan TensorFlow Lite"
]
}
},
"intermediate": {
"description": "Deployment web (TFJS) dan Serving.",
"exam_topics": ["TensorFlow.js", "TF Serving", "Model Conversion"],
"recommendation": {
"course_name": "Belajar Fundamental Deep Learning",
"specific_chapters": [
"Pengenalan TensorFlow.js",
"Pengenalan TensorFlow Serving",
"Latihan: Deploy Model ML Menggunakan TensorFlow.js"
]
}
},
"advanced": {
"description": "Distributed training dan kustomisasi loop training.",
"exam_topics": [
"Distributed Training",
"Custom Training Loops",
"TensorFlow Extended (TFX) concepts"
],
"recommendation": {
"course_name": "Membangun Proyek Deep Learning Tingkat Mahir",
"specific_chapters": [
"Strategi Distributed Training dengan TensorFlow",
"Custom Training Loop",
"Reproducibility dalam TensorFlow"
]
}
}
}
}
]
},
{
"role_name": "Front-End Web Developer",
"description": "Pengembang yang fokus pada antarmuka visual dan interaksi pengguna di browser.",
"sub_skills": [
{
"id": "html_css_fundamentals",
"name": "HTML & CSS Fundamentals",
"levels": {
"beginner": {
"description": "Struktur dasar HTML5 dan styling CSS dasar.",
"exam_topics": [
"Semantic HTML",
"Box Model",
"Selectors",
"Text Styling"
],
"recommendation": {
"course_name": "Belajar Dasar Pemrograman Web",
"specific_chapters": [
"Semantic HTML: Header, Footer, Main, dan Nav",
"Box Model",
"Selector Dasar"
]
}
},
"intermediate": {
"description": "Layouting modern dengan Flexbox dan Positioning.",
"exam_topics": [
"Flexbox",
"Positioning (Relative/Absolute)",
"Floats"
],
"recommendation": {
"course_name": "Belajar Dasar Pemrograman Web",
"specific_chapters": [
"Pengantar Flexbox",
"Positioning",
"Latihan: Implementasi Flexbox pada Halaman Profil"
]
}
},
"advanced": {
"description": "Layout Grid kompleks dan Desain Responsif.",
"exam_topics": ["CSS Grid", "Media Queries", "Responsive Design"],
"recommendation": {
"course_name": "Belajar Fundamental Front-End Web Development",
"specific_chapters": [
"Pengantar CSS Grid",
"Grid Container dan Grid Item",
"Media Query",
"Responsive Layout"
]
}
}
}
},
{
"id": "javascript_core",
"name": "JavaScript Core Logic",
"levels": {
"beginner": {
"description": "Sintaks dasar JS, tipe data, dan logika dasar.",
"exam_topics": [
"Variables",
"Data Types",
"Operators",
"Functions"
],
"recommendation": {
"course_name": "Belajar Dasar Pemrograman JavaScript",
"specific_chapters": [
"Variabel",
"Tipe Data",
"Logika Operator dan If Else",
"Function"
]
}
},
"intermediate": {
"description": "Manipulasi struktur data dan OOP dasar.",
"exam_topics": ["Arrays", "Objects", "Map/Set", "Basic OOP"],
"recommendation": {
"course_name": "Belajar Dasar Pemrograman JavaScript",
"specific_chapters": [
"Menstrukturkan Data dengan Object",
"Array",
"Map",
"Pengenalan OOP"
]
}
},
"advanced": {
"description": "Konsep ES6+, Functional Programming, dan Module.",
"exam_topics": [
"ES6 Modules",
"Arrow Functions",
"Higher Order Functions",
"Destructuring"
],
"recommendation": {
"course_name": "Belajar Dasar Pemrograman JavaScript",
"specific_chapters": [
"ES6 Module",
"Arrow Function",
"Destructuring Object & Array",
"Functional Programming"
]
}
}
}
},
{
"id": "dom_events",
"name": "DOM Manipulation & Interactivity",
"levels": {
"beginner": {
"description": "Memilih elemen dan event dasar.",
"exam_topics": [
"getElementById/querySelector",
"Click Events",
"Basic DOM Manipulation"
],
"recommendation": {
"course_name": "Belajar Membuat Front-End Web untuk Pemula",
"specific_chapters": [
"Mencari DOM",
"Manipulasi Konten Melalui innerText",
"Menambahkan Event Handler"
]
}
},
"intermediate": {
"description": "Event bubbling, form handling, dan membuat elemen dinamis.",
"exam_topics": [
"Event Bubbling",
"Form Events",
"Creating Elements"
],
"recommendation": {
"course_name": "Belajar Membuat Front-End Web untuk Pemula",
"specific_chapters": [
"Event Bubbling dan Capturing",
"Form Event",
"Membuat Elemen HTML"
]
}
},
"advanced": {
"description": "Web Storage (Local/Session) dan Custom Events.",
"exam_topics": [
"LocalStorage",
"SessionStorage",
"JSON Parsing",
"Custom Events"
],
"recommendation": {
"course_name": "Belajar Membuat Front-End Web untuk Pemula",
"specific_chapters": [
"Pengertian dan Fungsi Web Storage",
"Implementasi Web Storage",
"Custom Event"
]
}
}
}
},
{
"id": "async_api",
"name": "Asynchronous & API",
"levels": {
"beginner": {
"description": "Konsep dasar Async dan Callback.",
"exam_topics": [
"Synchronous vs Asynchronous",
"Callbacks",
"setTimeout"
],
"recommendation": {
"course_name": "Belajar Dasar Pemrograman JavaScript",
"specific_chapters": [
"Apa Itu Asynchronous Process",
"Penanganan dengan Callback",
"setTimeout"
]
}
},
"intermediate": {
"description": "Promise dan Fetch API dasar.",
"exam_topics": ["Promise", "Fetch API Basics", "JSON Data"],
"recommendation": {
"course_name": "Belajar Fundamental Front-End Web Development",
"specific_chapters": [
"Promise",
"Dasar Penggunaan Fetch",
"Mengonsumsi Data API"
]
}
},
"advanced": {
"description": "Async/Await, Error Handling, dan Chaining.",
"exam_topics": [
"Async/Await",
"Try/Catch",
"Promise.all",
"Chaining"
],
"recommendation": {
"course_name": "Belajar Fundamental Front-End Web Development",
"specific_chapters": [
"Sintaks Async/Await",
"Error Handling pada Async",
"Promise Berantai"
]
}
}
}
},
{
"id": "web_components",
"name": "Front-End Architecture (Web Components)",
"levels": {
"beginner": {
"description": "Konsep dasar Custom Elements.",
"exam_topics": ["Custom Elements", "HTMLElement Class"],
"recommendation": {
"course_name": "Belajar Fundamental Front-End Web Development",
"specific_chapters": [
"Apa Itu Web Component",
"Basic Custom Element"
]
}
},
"intermediate": {
"description": "Shadow DOM dan Template.",
"exam_topics": ["Shadow DOM", "Templates", "Encapsulation"],
"recommendation": {
"course_name": "Belajar Fundamental Front-End Web Development",
"specific_chapters": [
"Pengantar Shadow DOM",
"Shadow DOM untuk Web Component"
]
}
},
"advanced": {
"description": "Lifecycle Callbacks dan Slots.",
"exam_topics": [
"connectedCallback",
"attributeChangedCallback",
"Slots"
],
"recommendation": {
"course_name": "Belajar Fundamental Front-End Web Development",
"specific_chapters": [
"Siklus Hidup (Lifecycle)",
"Fleksibel dengan Slot Element"
]
}
}
}
},
{
"id": "pwa_performance",
"name": "PWA & Performance Optimization",
"levels": {
"beginner": {
"description": "Dasar PWA dan Manifest.",
"exam_topics": ["Web App Manifest", "Service Worker Basics"],
"recommendation": {
"course_name": "Belajar Pengembangan Web Intermediate",
"specific_chapters": [
"Pengenalan Progressive Web Apps",
"Web App Manifest",
"Registrasi Service Worker"
]
}
},
"intermediate": {
"description": "Caching dan Workbox.",
"exam_topics": [
"Cache API",
"Workbox",
"Caching Strategies (StaleWhileRevalidate)"
],
"recommendation": {
"course_name": "Belajar Pengembangan Web Intermediate",
"specific_chapters": [
"Workbox Precaching",
"Caching Strategies",
"Latihan: Offline Capability dengan Workbox"
]
}
},
"advanced": {
"description": "Optimasi performa, Lazy Loading, dan Web Vitals.",
"exam_topics": [
"Image Optimization",
"Lazy Loading",
"Web Vitals (LCP, FID, CLS)",
"Bundle Analyzer"
],
"recommendation": {
"course_name": "Belajar Pengembangan Web Intermediate",
"specific_chapters": [
"Image Optimization",
"Menggunakan Lazy Loading Image",
"Web Vitals",
"Bundle Analyzer"
]
}
}
}
},
{
"id": "testing_automation",
"name": "Testing & Automation",
"levels": {
"beginner": {
"description": "Dasar pengujian manual dan konsep testing.",
"exam_topics": [
"Why Testing?",
"Manual vs Automated",
"Types of Testing"
],
"recommendation": {
"course_name": "Belajar Dasar Pemrograman JavaScript",
"specific_chapters": [
"Pengenalan JavaScript Testing",
"Pengujian Program"
]
}
},
"intermediate": {
"description": "Unit Testing dan Integration Testing.",
"exam_topics": [
"Jest",
"Unit Testing",
"Integration Testing",
"TDD"
],
"recommendation": {
"course_name": "Belajar Pengembangan Web Intermediate",
"specific_chapters": [
"TDD Menggunakan Jest",
"Framework Automation Testing",
"Menulis Kode Pengujian"
]
}
},
"advanced": {
"description": "E2E Testing dan CI/CD.",
"exam_topics": [
"End-to-End Testing",
"CI/CD Concepts",
"GitHub Actions"
],
"recommendation": {
"course_name": "Belajar Pengembangan Web Intermediate",
"specific_chapters": [
"Kasus 5: End-to-End Testing",
"Pendahuluan Continuous Integration & Continuous Deployment",
"Latihan: Membuat CI Pipeline menggunakan GitHub Action"
]
}
}
}
}
]
}
]