# Dicoding Indonesia (@dicoding) on tiktok

- id: koinon:creator:tiktok_dicoding
- url: https://koinonlink.com/kol/tiktok/dicoding
- schema_version: 1.2

## Identity
- platform: tiktok
- handle: dicoding
- platform_url: https://www.tiktok.com/@dicoding
- country: Indonesia
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 130468
- following: 1
- posts_total: 1312
- posts_observed: 4
- verified: false
- size_tier: kol

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: entertainment
- subcategory: edu_science
- category_confidence: 0.85
- category_source: derived_from_recent_content
- topics: Meme kehidupan programmer dan mahasiswa IT, Cerita relatable coding struggle, Promosi kursus Dicoding, Tips dan motivasi belajar ngoding

## Audience (inferred)
- status: present
- description: Mahasiswa IT/informatika dan programmer pemula di Indonesia yang relate dengan meme coding
- roles: dev
- seniority: learner
- pain_points: Mata kuliah IT yang sulit dan bikin stuck, Deadline tugas coding yang mepet, Bingung mulai belajar coding dari mana, Khawatir karir dan gaji setelah lulus
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.6
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 66
- authenticity_basis: profile_shape_only
- credibility_score: 66
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [tiktok_dicoding#30c0dc94] Bentar saya back up dulu codingannya😭😭😭 #programmer #mahasiswa #teknikinformatika (https://www.tiktok.com/@dicoding)
- [tiktok_dicoding#77945f91] original sound - dicoding
- [tiktok_dicoding#e972c248] It is a becoming a big trend on TikTok now! Click here: programmer
- [tiktok_dicoding#24c78f3c] Check out Dicoding Indonesia’s video! #TikTok >
- [tiktok_dicoding#4fac424c] Mana yang paling kalian suka dan mana yang paling kalian hindari? Yuk, diskusi di kolom komen!   Follow @dicoding untuk konten menarik lainnya 🙌 #bahasapemrograman #mahasiswa #java #python #teknikinformatika #dicoding
- [tiktok_dicoding#6b7e645e] Search:
- [tiktok_dicoding#ee620923] JavaScript
- [tiktok_dicoding#3fb28953] Coders, coba ceritain mata kuliah IT yang paling sulit selama kuliah! 💀 #informatika #mahasiswa #matakuliah #komputer

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=0, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=0, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=42, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=0, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=42, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=42, method=platform_profile

## Freshness
- profile_checked_days_ago: 42
- content_analysed_days_ago: 0
- audience_updated_days_ago: 0

## AI retrieval
- indexing_requests: 1
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=tiktok_dicoding
- Request removal: https://koinonlink.com/claim?k=tiktok_dicoding
- Terms: https://koinonlink.com/for-ai