Dataset API Documentation

{
  "dataset": "LenggerEvent",
  "version": "1.0.0",
  "generatedAt": "2026-05-10T12:00:00.000Z",
  "recordCount": 219,
  "fields": [
    "id",
    "title",
    "date",
    "klasifikasi",
    "desa",
    "kecamatan",
    "komunitasBudaya",
    "artisLengger",
    "sinden",
    "..."
  ],
  "license": "CC-BY-4.0",
  "licenseUrl": "https://creativecommons.org/licenses/by/4.0/",
  "citation": "Yayasan Jaya Sanga Nusantara. (2026). Monitor Lengger ...",
  "data": [
    {
      "id": "cm3abc123",
      "title": "Bersih Desa Loano",
      "date": "2026-03-15T00:00:00.000Z",
      "klasifikasi": "Lengger",
      "desa": "Loano",
      "kecamatan": "Loano"
    }
  ]
}

id,title,date,klasifikasi,desa,kecamatan,...
cm3abc123,"Bersih Desa Loano",2026-03-15,Lengger,Loano,Loano,...
cm3def456,"Suraan Wadaslintang",2026-03-16,"Lengger & Jaranan",Wadaslintang,Wadaslintang,...

# Ambil data pentas dalam format JSON
curl "https://jayasanganusantara.or.id/api/v1/dataset/LenggerEvent"

# Download data pentas dalam format CSV
curl "https://jayasanganusantara.or.id/api/v1/dataset/LenggerEvent?format=csv" -o lengger.csv

# Cari pentas di kecamatan tertentu
curl "https://jayasanganusantara.or.id/api/v1/dataset/LenggerEvent?search=Loano"

# Ambil 50 episode podcast terbaru
curl "https://jayasanganusantara.or.id/api/v1/dataset/Podcast?limit=50"

// Fetch data pentas budaya
const response = await fetch(
  'https://jayasanganusantara.or.id/api/v1/dataset/LenggerEvent?limit=100'
)
const { data, recordCount, citation } = await response.json()

console.log(`Loaded ${recordCount} events`)
console.log(`Citation: ${citation}`)

// Process events
for (const event of data) {
  console.log(`${event.title} - ${event.klasifikasi} - ${event.desa}`)
}

// Get klasifikasi distribution
const klasifikasi = data.reduce((acc, e) => {
  if (e.klasifikasi) {
    e.klasifikasi.split(/\s*[&,]\s*/).forEach(k => {
      acc[k.trim()] = (acc[k.trim()] || 0) + 1
    })
  }
  return acc
}, {})

import requests
import pandas as pd

# Fetch data pentas budaya
response = requests.get(
    "https://jayasanganusantara.or.id/api/v1/dataset/LenggerEvent",
    params={"limit": 1000}
)
data = response.json()

print(f"Loaded {data['recordCount']} events")
print(f"Citation: {data['citation']}")

# Convert to pandas DataFrame
df = pd.DataFrame(data['data'])

# Klasifikasi distribution
df['klasifikasi'].str.split(r'\s*[&,]\s*').explode().value_counts()

# Download CSV directly
csv_response = requests.get(
    "https://jayasanganusantara.or.id/api/v1/dataset/LenggerEvent",
    params={"format": "csv"}
)
with open("lengger_data.csv", "w") as f:
    f.write(csv_response.text)

library(jsonlite)
library(dplyr)

# Fetch data pentas budaya
data <- fromJSON("https://jayasanganusantara.or.id/api/v1/dataset/LenggerEvent?limit=1000")

cat("Loaded", data$recordCount, "events\n")
cat("Citation:", data$citation, "\n")

# Convert to data frame
df <- as.data.frame(data$data)

# Klasifikasi frequency
df %>%
  count(klasifikasi, sort = TRUE) %>%
  head(10)