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Wilayah Indonesia

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emsifa
wilayah-indonesia

Schemas for Indonesian administrative data — API responses and downloadable files for app integration

Overview

Publisheremsifa
Repositoryapi-wilayah-indonesia
Skill namewilayah-indonesia
Stars
755
Forks
1.4K
Bundled files
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  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 53 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by emsifa on GitHub. Read the source before you install it.

Installation

Install the Wilayah Indonesia AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/emsifa/api-wilayah-indonesia/tree/master
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/emsifa/api-wilayah-indonesia.git \
  .claude/skills/wilayah-indonesia
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Wilayah Indonesia in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Wilayah Indonesia on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Wilayah Indonesia is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SKILL — Wilayah Indonesia

Use this skill when a developer wants to integrate Indonesian administrative data (provinces, regencies/cities, districts, villages, postal codes, boundaries) into their app. Data is available in two interchangeable ways: Static API (https://www.emsifa.com/api-wilayah-indonesia/v2) and Downloaded files (npx wilayah download --format csv|sql|json). This file only describes what you will receive — columns, keys, and response shapes — so you can build for any stack.

1. Which Source Should You Use?

  • Static API: Best for MVPs, frontend-only apps, or edge functions. No database needed — just fetch JSON. Includes polygons for maps. Data is cached on CDN.
  • Download: Best when you need offline validation, foreign keys, or complex queries (WHERE postal_code = ?). You get the full dataset to self-host in your own database or static hosting.

Ask the user: “Do you want to fetch from the API or self-host the data?”

2. API — What You Get

Base URL: https://www.emsifa.com/api-wilayah-indonesia/v2

Every response has the same wrapper:

json
{
  "data": <object or array>,
  "meta": {
    "generated_at": "2026-09-02T03:35:49Z",
    "level": 1
  }
}
  • data: the actual payload (see below)
  • meta.generated_at: when the file was generated (RFC3339)
  • meta.level: depth 0=stats, 1=province, 2=regency, 3=district, 4=village/postal

2.1 What you get for provinces & regencies (detailed)

For provinces.json, provinces/{code}.json, regencies/{province}.json, regencies/{regency}.json you receive rich objects:

json
{
  "id": "32",
  "name": "Jawa Barat",
  "capital": "Bandung",
  "lat": -6.90,
  "lng": 107.61,
  "elv": 739,
  "tz": 7,
  "population": 51316378,
  "total_area": 37053.33,
  "has_path": true,
  "province": { "id": "32", "name": "Jawa Barat" },
  "regency": { "id": "32.73", "name": "Kota Bandung" }
}
  • You'll always get id, name, and has_path (boolean, true if /paths/{id}.json exists). For provinces and regencies you also get capital, lat, lng (for map marker), elv, tz, population, total_area.
  • has_path is always present (true/false) — check it before fetching /paths/{id}.json to avoid 404.
  • Detail endpoints also include their parent: a regency includes province, a district includes province + regency, a village includes all three.

2.2 What you get for districts & villages (lists)

For lists, you get a compact form to keep files small:

json
// districts/{regency}.json
{ "id": "32.73.01", "name": "Sukasari", "lat": -6.87, "lng": 107.59, "has_path": true }

// villages/{district}.json
{ "id": "32.73.01.1001", "name": "Sukarasa", "postal_code": "40152", "lat": -6.87, "lng": 107.59, "has_path": true }
  • District lists have id, name, lat, lng, and has_path (compact but with coordinates).
  • Village lists add postal_code + has_path so you can filter by postal code and know if polygon is available without a separate lookup.
  • Detail endpoints (districts/{code}.json, villages/{code}.json) also include has_path alongside lat/lng and parent objects.

2.3 All endpoints

PathWhat it returns
/stats.jsonTotals for all levels
/provinces.jsonAll provinces (detailed)
/provinces/{code}.jsonOne province, e.g. 32
/regencies/{province_code}.jsonRegencies in that province
/regencies/{regency_code}.jsonOne regency + its province
/districts/{regency_code}.jsonDistricts in that regency (compact) + has_path
/districts/{district_code}.jsonOne district + its province/regency + has_path
/villages/{district_code}.jsonVillages in that district + postal_code + has_path
/villages/{village_code}.jsonOne village + postal_code + all parents + has_path
/postal-codes/{postal_code}.jsonAll villages that use that postal code
/paths/{code}.jsonBoundary polygon for any level (fetch only if has_path=true)
/missings.jsonWilayah dimana has_path==false OR has_latlng==false (flat {id,name,has_path,has_latlng} + summary by_level)

2.4 Totals (stats)

json
{
  "total_provinces": 38,
  "total_regencies": 514,
  "total_districts": 7285,
  "total_villages": 83762,
  "total_postal_codes": 10632,
  "total_paths": 551,
  "total_population": 284973643,
  "total_area": 1889518.25,
  "total_endpoints": 201309,
  "total_filesize": 300423246,
  "total_filesize_human": "286.51 MB",
  "total_disk_usage": 915771392,
  "total_disk_usage_human": "873.35 MB"
}

2.5 Boundaries (polygons)

json
{
  "data": {
    "id": "32",
    "name": "Jawa Barat",
    "path": [[[ -6.98, 106.39 ], [-6.93, 106.39 ]], [[ ... ]]]
  }
}
  • Polygons are available for all levels when has_path=true — check has_path on any provinces/regencies/districts/villages response before fetching /paths/{id}.json. Some have one ring (single island), others have many (e.g., Jakarta 2 rings, Aceh 28, Papua Barat 1455). Your map code should handle both: if the first element is a point [lat,lng] it's a single polygon, if it's an array of points it's already a list of rings — collect all rings that have more than 2 points.

2.6 Missings (incomplete data)

json
// GET /missings.json
{
  "data": [
    { "id": "53.09.14.2011", "name": "Watu Pangan", "has_path": false, "has_latlng": false },
    { "id": "32.73.01.1005", "name": "Sukajadi", "has_path": false, "has_latlng": true }
  ],
  "meta": { "updated_at": "2026-09-03", "level": 0 },
  "summary": {
    "total_missing": 360,
    "total_missing_path": 320,
    "total_missing_latlng": 40,
    "total_missing_both": 12,
    "by_level": { "province": 0, "regency": 0, "district": 0, "village": 360 }
  }
}
  • has_path: true if /paths/{id}.json exists, else false.
  • has_latlng: true if lat and lng present and not 0/null/undefined, else false.
  • List is flat across all levels; entry appears if has_path==false OR has_latlng==false.
  • summary.by_level counts per level (province=0 dots, regency=1, district=2, village=3).

3. Downloaded Files — What You Get

Run npx wilayah download --format <csv|sql|json> --output ./wilayah.<ext> to get the full dataset to host yourself. You can also get the same shapes via the API, but as static files you control.

3.1 wilayah.csv / wilayah.json (full hierarchy)

Every row is one administrative area:

kode,nama
11,Aceh
11.01,Kabupaten Aceh Selatan
11.01.01,Bakongan
11.01.01.2001,Keude Bakongan
  • kode: the ID. Count the dots to know the level: no dot = province (2 chars, e.g. 11), one dot = regency (5 chars, 11.01), two dots = district (8 chars, 11.01.01), three dots = village (13 chars, 11.01.01.2001)
  • nama: the display name

The json version has the same rows as an array of {kode, nama}.

3.2 Rich data for provinces & regencies

When you need coordinates, capital, population, area, or polygon, use the level 1/2 data. In the download this is available as extra columns (for sql/json) or as the API rich objects:

kode,nama,ibukota,lat,lng,elv,tz,luas,penduduk,path
11,Aceh,Banda Aceh,5.57,95.34,11,7,56835.019,5623479,"[[[2.07,97.07],...]]"
  • ibukota = capital, luas = total_area, penduduk = population, path = same polygon as /paths endpoint

3.3 Postal code mapping

kode,kodepos
32.73.01.1001,40152
  • kode: village id
  • kodepos: postal code used to build postal-codes/{code}.json. One postal code can map to many villages.

3.4 What each download format gives you

  • wilayah.json / api/*.json: same structures as Section 2 — ready to serve as static files.
  • wilayah.sql: INSERT statements with columns kode, nama, capital, lat, lng, elv, tz, total_area, population, postal_code — import into MySQL/Postgres.
  • wilayah.csv: merged table with kode,nama,postal_code plus rich columns for provinces/regencies.

4. How IDs and Relationships Work

  • The kode / id is the primary key. Split by . to get the parent: 32.73.01.1001 → province 32, regency 32.73, district 32.73.01.
  • Hierarchy is always province → regency → district → village.
  • postal_code lives on the village. Use postal-codes/{code}.json to find all villages sharing a code.

5. How to Use (for the AI)

  • If the user wants to fetch: call the endpoints in Section 2 in order provinces → regencies/{prov} → districts/{reg} → villages/{dist}. Always use the real kode from the previous response, never guess. Check has_path before fetching /paths/{id}.json.
  • If the user wants to self-host: suggest npx wilayah download --format <...> and point to the columns above. Let the user choose the format that fits their database.
  • For maps, all levels have lat/lng and may have polygons when has_path=true — check the flag first.
  • To monitor coverage: fetch /missings.json — each entry {id,name,has_path,has_latlng} appears if !has_path || !has_latlng; use summary to see totals by level.

References

  • Live API: https://www.emsifa.com/api-wilayah-indonesia/v2
  • Spec: openapi.yml and wilayah-postman.json at the same base URL
  • Stats: api/stats.json, api/provinces.json

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Wilayah Indonesia AI skill do?

Schemas for Indonesian administrative data — API responses and downloadable files for app integration

Why use Wilayah Indonesia on TypingMind?

Because you install it once and use it with any model. Wilayah Indonesia is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Wilayah Indonesia in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/emsifa/api-wilayah-indonesia/tree/master. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Wilayah Indonesia?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Wilayah Indonesia?

As many as you like. As long as a model supports skills, you can use Wilayah Indonesia with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Wilayah Indonesia AI skill free?

It is published on GitHub by emsifa. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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