Fase 11: Kata Kunci (C) — 5 Keywords

Tujuan

Memilih dan merumuskan 5 kata kunci yang paling relevan, spesifik, dan discoverable untuk penelitian.

Output: 5 kata kunci optimal dengan justifikasi Estimasi Waktu: 15-20 menit

Mengapa Fase Ini Penting?

Kata kunci adalah:

• Discovery gateway: Menentukan seberapa mudah penelitian ditemukan

• Indexing factor: Mempengaruhi penempatan di database ilmiah

• Search optimization: Meningkatkan visibility dan citasi

• Classification tool: Membantu reviewer mengkategorikan penelitian

Kata kunci yang baik akan meningkatkan kemungkinan penelitian ditemukan oleh peneliti lain dan diindeks dengan benar.

Main Prompt untuk Kata Kunci

JANGAN Gunakan websearch, hanya gunakan data yang kita miliki!!!

KATA KUNCI (C)

Judul Penelitian (dari A):
Gunakan data di project

Research Questions (dari D.1):
Gunakan data di project

Ringkasan (dari B):
[Gunakan data di project]

Innovation Focus (dari D.2):
[Gunakan data di project]

Methodology (dari E):
[Gunakan data di project]

---

TASK: Buat 5 Kata Kunci

Format Final:
```
KATA KUNCI PENELITIAN:

1. [kata kunci final 1]
2. [kata kunci final 2] 
3. [kata kunci final 3]
4. [kata kunci final 4]
5. [kata kunci final 5]
```

WRITING GUIDELINES:

1. Keyword Selection Criteria

DO's:

• ✅ Gunakan istilah standar bidang ilmu

• ✅ Pilih kata yang spesifik namun tidak terlalu sempit

• ✅ Pertimbangkan search behavior peneliti lain

• ✅ Include both technical dan accessible terms

• ✅ Consider international terminology

DON'Ts:

• ❌ Gunakan singkatan yang tidak umum

• ❌ Pilih kata yang terlalu generik

• ❌ Gunakan jargon yang terlalu obskur

• ❌ Pilih kata yang terlalu panjang (>3 kata)

• ❌ Gunakan bahasa yang tidak standar

3. Strategic Considerations

Field-Specific Conventions:

• Computer Science: "Machine Learning", "Artificial Intelligence", "Deep Learning"

• Medicine: "Early Detection", "Diagnosis", "Treatment"

• Education: "Learning Analytics", "Educational Technology", "Digital Learning"

• Engineering: "Optimization", "Performance", "Efficiency"

Search Volume vs. Specificity Trade-off:

• High volume, low specificity: "Machine Learning"

• Medium volume, medium specificity: "Deep Learning for Healthcare"

• Low volume, high specificity: "CNN-based ECG Analysis"

International vs. Local Terms:

• International: "Cardiovascular Disease", "ECG Analysis"

• Local context: "Penyakit Kardiovaskular", "Analisis EKG"

OUTPUT FORMAT:

### C. KATA KUNCI

**Kata Kunci Penelitian:**
1. [kata kunci final 1]
2. [kata kunci final 2]
3. [kata kunci final 3]
4. [kata kunci final 4]
5. [kata kunci final 5]

---
Total: 5 kata kunci

Common Issues & Fixes

Issue 1: Kata kunci terlalu umum

Kata kunci terlalu generik dan tidak spesifik.

Current: "Machine Learning", "Healthcare", "Analysis"
Better: "Deep Learning", "Cardiovascular Disease Detection", "ECG Signal Processing"

Fix dengan:
- Tambahkan specific technology/method
- Sertakan specific problem/domain
- Gunakan compound terms untuk specificity
- Include measurement/application context

Issue 2: Kata kunci terlalu obskur

Kata kunci terlalu spesifik dan jarang dicari.

Current: "Convolutional Neural Network-based Arrhythmia Classification"
Better: "Deep Learning", "ECG Analysis", "Arrhythmia Detection"

Fix dengan:
- Balance specificity dengan search volume
- Include broader terms alongside specific
- Consider alternative terminology
- Use field-standard abbreviations

Issue 3: Tidak cover semua aspects

Kata kunci tidak mencakup semua komponen penelitian.

Current: "Deep Learning", "Healthcare"
Missing: Methodology, specific application, population

Better: "Deep Learning", "ECG Analysis", "Cardiovascular Detection", "Elderly Patients", "Early Diagnosis"

Fix dengan:
- Include technology terms
- Add methodology keywords
- Add population/context terms
- Add application/outcome terms

Tips untuk Kata Kunci Optimal

1. Research-Based Selection

Step 1: Analyze top papers in field
- Extract keywords dari highly cited papers
- Identify terminology patterns
- Note emerging terms vs. established

Step 2: Database search testing
- Test candidate keywords di Scopus
- Check result relevance
- Analyze search volume vs. specificity

Step 3: Peer validation
- Ask colleagues untuk feedback
- Check conference proceedings keywords
- Review journal article keywords

2. Search Optimization Strategy

Primary Keyword Strategy:
- 1-2 core high-volume terms
- 2-3 specific qualifying terms
- Balance broad + narrow terms

Secondary Strategy:
- Synonyms dan variations
- International + local terms
- Technical + accessible terms

Long-tail Strategy:
- Specific combinations
- Application-focused terms
- Population-specific terms

3. Validation Checklist

Before finalizing:
- [ ] Search each keyword di major databases
- [ ] Check result relevance
- [ ] Verify field standard usage
- [ ] Test international variations
- [ ] Consider indexing implications
- [ ] Get feedback dari domain experts
- [ ] Review competitor paper keywords

Next Step

Review Final Proposal Integration

Setelah Fase 11, semua komponen proposal A-H sudah lengkap:

Complete Proposal Structure:

• A. Judul (Fase 9) - 15-20 kata yang komprehensif

• B. Ringkasan (Fase 10) - 200-250 kata yang meyakinkan

• C. Kata Kunci (Fase 11) - 5 kata kunci optimal

• D. Pendahuluan (Fase 1-6) - ~1000 kata total

  • D.1 Latar Belakang (Fase 4)

  • D.2 Pendekatan (Fase 5)

  • D.3 State of the Art (Fase 3)

  • D.4 Peta Jalan (Fase 7)

• E. Metode Penelitian (Fase 5) - ≤1000 kata dengan diagram

• F. Hasil yang Diharapkan (Fase 6) - Realistis dan terukur

• G. Jadwal Penelitian (Fase 7) - Tabel dan Gantt chart

• H. Daftar Pustaka (Fase 8) - 20-30 referensi berkualitas

Final Quality Check:

• Konsistensi terminology

• Logical flow antar bagian

• Compliance dengan panduan Dikti

• Overall coherence dan persuasiveness

Estimasi waktu: 15-20 menit

Success indicator: 5 kata kunci optimal dengan justifikasi lengkap dan strategi pencarian

Fase 11 dari 11 - Kata Kunci | Penelitian Fundamental Reguler Proposal Development Guide

Last updated 19 days ago