The workflow JSON
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{
"name": "Asisten Aurelia - Chatbot",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "asisten-aurelia",
"responseMode": "responseNode",
"options": {}
},
"id": "webhook-trigger",
"name": "Webhook Masuk",
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
240,
400
]
},
{
"parameters": {
"url": "=http://backend:5000/ringkasan",
"options": {}
},
"id": "get-ringkasan",
"name": "Ambil Ringkasan",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
500,
260
]
},
{
"parameters": {
"url": "=http://backend:5000/performa-model",
"options": {}
},
"id": "get-performa",
"name": "Ambil Performa Model",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
500,
400
]
},
{
"parameters": {
"url": "=http://backend:5000/cuitan",
"options": {}
},
"id": "get-cuitan",
"name": "Ambil Daftar Cuitan",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
500,
540
]
},
{
"parameters": {
"method": "POST",
"url": "http://libretranslate:5000/translate",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "q",
"value": "={{ $json.teks }}"
},
{
"name": "source",
"value": "en"
},
{
"name": "target",
"value": "id"
},
{
"name": "format",
"value": "text"
}
]
},
"options": {}
},
"id": "translate-cuitan",
"name": "Terjemahkan ke Indonesia",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
900,
540
],
"notes": "Memanggil LibreTranslate self-hosted (lihat service 'libretranslate' di docker-compose.yml) - open source, tidak butuh API key berbayar. Hasil ada di field translatedText."
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={{ { ...$('Ambil Daftar Cuitan').item.json, teksIndonesia: $json.translatedText } }}",
"options": {}
},
"id": "set-teks-id",
"name": "Gabungkan Terjemahan",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1100,
540
],
"notes": "Menambahkan field teksIndonesia ke setiap cuitan, sambil tetap menyimpan teks asli, skor, dan risiko apa adanya."
},
{
"parameters": {
"aggregate": "aggregateAllItemData",
"destinationFieldName": "cuitanTerbaru",
"options": {}
},
"id": "aggregate-cuitan",
"name": "Gabungkan Kembali Jadi Daftar",
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
1300,
540
],
"notes": "Menyatukan semua cuitan yang sudah diberi teksIndonesia kembali jadi satu array."
},
{
"parameters": {
"mode": "raw",
"jsonOutput": "={{ {\n \"pesan_pengguna\": $('Webhook Masuk').first().json.body.pesan,\n \"konteks\": {\n \"ringkasan\": $('Ambil Ringkasan').first().json,\n \"performaModel\": $('Ambil Performa Model').first().json,\n \"cuitanTerbaru\": $json.cuitanTerbaru\n }\n} }}",
"options": {}
},
"id": "susun-konteks",
"name": "Susun Konteks",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1700,
400
],
"notes": "konteks.cuitanTerbaru sekarang berisi field teks (Inggris asli, dasar skor) dan teksIndonesia (terjemahan untuk ditampilkan/dijawabkan)."
},
{
"parameters": {
"jsCode": "const pesan = ($json.pesan_pengguna || '').toLowerCase();\nconst konteks = $json.konteks;\nlet balasan;\n\nif (pesan.includes('risiko tinggi') || pesan.includes('kasus tinggi')) {\n const jumlah = (konteks.cuitanTerbaru || []).filter(c => c.risiko === 'tinggi').length;\n balasan = `Saat ini ada ${jumlah} cuitan contoh dengan klasifikasi risiko tinggi dari model XGBoost. Total keseluruhan (data ringkasan) tercatat ${konteks.ringkasan.risikoTinggi} kasus risiko tinggi dalam 14 hari terakhir.`;\n} else if (pesan.includes('akurasi') || pesan.includes('performa') || pesan.includes('model terbaik')) {\n const terbaik = konteks.performaModel.reduce((a, b) => (b.akurasi > a.akurasi ? b : a));\n balasan = `Dari model yang dibandingkan, ${terbaik.model} mencatat akurasi ${(terbaik.akurasi * 100).toFixed(1)}% dan F1-score ${(terbaik.f1 * 100).toFixed(1)}% pada data uji.`;\n} else if (pesan.includes('tren') || pesan.includes('minggu') || pesan.includes('hari')) {\n balasan = `Total ${konteks.ringkasan.totalCuitanDianalisis.toLocaleString('id-ID')} cuitan telah dianalisis dalam 14 hari terakhir, dengan ${konteks.ringkasan.risikoSedang} kasus risiko sedang dan ${konteks.ringkasan.risikoTinggi} kasus risiko tinggi.`;\n} else if (pesan.includes('halo') || pesan.includes('hai') || pesan.includes('selamat')) {\n balasan = 'Halo! Saya asisten Aurelia. Tanyakan soal jumlah kasus risiko tinggi, performa model, atau tren minggu ini, ya.';\n} else {\n balasan = 'Saya bisa membantu menjawab soal jumlah kasus risiko tinggi, performa model, atau tren mingguan. Coba tanyakan salah satu topik itu, ya.';\n}\n\nreturn [{ json: { balasan, sumber: 'n8n-rule-based' } }];"
},
"id": "panggil-llm",
"name": "Susun Balasan (Tanpa LLM)",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1940,
400
],
"notes": "Versi tanpa LLM - logika rule-based berbasis kata kunci, mirip _logika_chatbot_simulasi() di Flask. Tidak butuh API key apa pun."
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ { \"balasan\": $json.balasan, \"sumber\": $json.sumber } }}",
"options": {}
},
"id": "respon-webhook",
"name": "Kirim Balasan",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.2,
"position": [
2180,
400
]
},
{
"parameters": {
"content": "## Alur Workflow\n1. Webhook menerima { pesan } dari backend Flask\n2. HTTP Request mengambil ringkasan, performa model, dan daftar cuitan dari backend (array otomatis terpecah jadi item per cuitan oleh n8n)\n3. Setiap cuitan diterjemahkan ke Indonesia (LibreTranslate) - teks Inggris asli & skor/risiko TETAP dipakai, hanya ditambah field teksIndonesia\n4. Semua cuitan yang sudah diterjemahkan digabung lagi jadi satu array\n5. Susun balasan (rule-based, tanpa LLM)\n6. Hasil dikirim balik sebagai { balasan }\n\n**Penting:** terjemahan HANYA untuk tampilan. Skor risiko dihitung backend dari teks Inggris asli SEBELUM diterjemahkan, supaya cocok dengan vocabulary model yang sudah dilatih.\n\n**Catatan:** URL backend/libretranslate memakai nama service docker-compose (backend, libretranslate) karena n8n sekarang ikut berjalan di network compose yang sama (lihat service 'n8n' di docker-compose.yml).",
"height": 280,
"width": 360
},
"id": "catatan-alur",
"name": "Catatan",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
240,
640
]
}
],
"connections": {
"Webhook Masuk": {
"main": [
[
{
"node": "Ambil Ringkasan",
"type": "main",
"index": 0
},
{
"node": "Ambil Performa Model",
"type": "main",
"index": 0
},
{
"node": "Ambil Daftar Cuitan",
"type": "main",
"index": 0
}
]
]
},
"Ambil Daftar Cuitan": {
"main": [
[
{
"node": "Terjemahkan ke Indonesia",
"type": "main",
"index": 0
}
]
]
},
"Terjemahkan ke Indonesia": {
"main": [
[
{
"node": "Gabungkan Terjemahan",
"type": "main",
"index": 0
}
]
]
},
"Gabungkan Terjemahan": {
"main": [
[
{
"node": "Gabungkan Kembali Jadi Daftar",
"type": "main",
"index": 0
}
]
]
},
"Gabungkan Kembali Jadi Daftar": {
"main": [
[
{
"node": "Susun Konteks",
"type": "main",
"index": 0
}
]
]
},
"Ambil Ringkasan": {
"main": [
[]
]
},
"Ambil Performa Model": {
"main": [
[]
]
},
"Susun Konteks": {
"main": [
[
{
"node": "Susun Balasan (Tanpa LLM)",
"type": "main",
"index": 0
}
]
]
},
"Susun Balasan (Tanpa LLM)": {
"main": [
[
{
"node": "Kirim Balasan",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
}
}
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About this workflow
Asisten Aurelia - Chatbot. Uses httpRequest. Webhook trigger; 11 nodes.
Source: https://github.com/Enambelas04/Sistem-Deteksi-Dini-Risiko-Depresi/blob/0cfd379c3fdab5324db8eac231427df986bef944/n8n-workflows/asisten-aurelia.json — original creator credit. Request a take-down →
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