diff --git a/apps/ml-service/README.md b/apps/ml-service/README.md
index 68648dd..1439901 100644
--- a/apps/ml-service/README.md
+++ b/apps/ml-service/README.md
@@ -79,7 +79,7 @@ ML_SERVICE_PORT=9000 MODEL_PATH=/path/to/model.onnx cargo run
 | Variable | Default | Keterangan |
 |---|---|---|
 | `ML_SERVICE_HOST` | `0.0.0.0` | Bind address |
-| `ML_SERVICE_PORT` | `8000` | Bind port |
+| `ML_SERVICE_PORT` | `4012` | Bind port |
 | `MODEL_PATH` | `../../Machine_Learning/model/model.onnx` | Path ke file model ONNX |
 | `MODEL_INPUT_SIZE` | `224` | Ukuran input gambar (224×224 untuk EfficientNetV2B0) |
 | `RUST_LOG` | `info` | Level logging (debug, info, warn, error) |
@@ -157,7 +157,7 @@ cargo build --release
 cargo test
 ```
 
-### Verifikasi Manual (default port 8000)
+### Verifikasi Manual (default port 4012)
 
 ```bash
 # 1. Start service
@@ -182,7 +182,7 @@ Service dapat di-deploy via Docker. Build dari root repository karena Dockerfile
 
 ```bash
 docker build -f apps/ml-service/Dockerfile -t zeavis-ml-service .
-docker run -p 8000:4012 zeavis-ml-service
+docker run -p 4012:4012 zeavis-ml-service
 ```
 
 Pastikan `Machine_Learning/model/model.onnx` sudah dibuat sebelum build image.
diff --git a/apps/ml-service/src/config.rs b/apps/ml-service/src/config.rs
index 1d79523..434bd48 100644
--- a/apps/ml-service/src/config.rs
+++ b/apps/ml-service/src/config.rs
@@ -30,7 +30,7 @@ impl Config {
 
     pub fn from_env_with_base_dir(base_dir: &Path) -> Result<Self> {
         let host = env::var("ML_SERVICE_HOST").unwrap_or_else(|_| "0.0.0.0".to_string());
-        let port = parse_env_u16("ML_SERVICE_PORT", 8000)?;
+        let port = parse_env_u16("ML_SERVICE_PORT", 4012)?;
         let input_size = parse_env_u32("MODEL_INPUT_SIZE", DEFAULT_INPUT_SIZE)?;
         let model_path = env::var("MODEL_PATH").unwrap_or_else(|_| DEFAULT_MODEL_PATH.to_string());
         let temperature = parse_env_f32("MODEL_TEMPERATURE", DEFAULT_TEMPERATURE)?;
@@ -116,7 +116,7 @@ mod tests {
                 let config = Config::from_env_with_base_dir(Path::new("/repo/apps/ml-service")).unwrap();
 
                 assert_eq!(config.host, "0.0.0.0");
-                assert_eq!(config.port, 8000);
+                assert_eq!(config.port, 4012);
                 assert_eq!(config.input_size, 224);
                 assert_eq!(
                     config.model_path,
diff --git a/apps/web/src/pages/telemetry-page.tsx b/apps/web/src/pages/telemetry-page.tsx
index 4098725..5f1c787 100644
--- a/apps/web/src/pages/telemetry-page.tsx
+++ b/apps/web/src/pages/telemetry-page.tsx
@@ -231,7 +231,7 @@ export function TelemetryPage() {
         queryRange(`zeavis_api_http_requests_total{instance="${INST}:4006"}`, 60),
         queryRange(`zeavis_api_http_request_duration_seconds_sum{instance="${INST}:4006"} / zeavis_api_http_request_duration_seconds_count{instance="${INST}:4006"}`, 60),
         // ML
-        queryInstant(`zeavis_ml_zeavis_ml_model_load_status{instance="${INST}:8000"}`),
+        queryInstant(`zeavis_ml_zeavis_ml_model_load_status{instance="${INST}:4012"}`),
         // NodeJS
         queryInstant(`nodejs_heap_size_used_bytes{instance="${INST}:4006"}`),
         queryInstant(`nodejs_heap_size_total_bytes{instance="${INST}:4006"}`),