Start by setting up your Kafka environment. Download and extract the latest Kafka binaries from the [Apache Kafka website](https://kafka.apache.org/downloads). Follow the installation instructions specific to your operating system. Ensure that both Kafka and Zookeeper services are running. You can start Zookeeper and Kafka server using the following commands from the Kafka installation directory:
```bash
bin/zookeeper-server-start.sh config/zookeeper.properties
bin/kafka-server-start.sh config/server.properties
```

Create a new Kafka topic to which you will send JSON data. This can be done using Kafka's command-line tools. Choose an appropriate name and configure partitions and replication factors as needed:
```bash
bin/kafka-topics.sh --create --topic json-data-topic --bootstrap-server localhost:9092 --partitions 1 --replication-factor 1
```

Use Python to read the JSON file. Python's built-in `json` library allows you to easily parse JSON data. Load the contents of your JSON file into a Python dictionary or list:
```python
import json

with open('data.json', 'r') as file:
data = json.load(file)
```

Install the `kafka-python` library, which provides a low-level interface to interact with Kafka from Python. This can be installed using pip:
```bash
pip install kafka-python
```

Use the `kafka-python` library's `KafkaProducer` class to send JSON data to the Kafka topic. Convert your Python data structure back to a JSON string and then send it to the specified topic:
```python
from kafka import KafkaProducer
import json

producer = KafkaProducer(bootstrap_servers='localhost:9092',
value_serializer=lambda v: json.dumps(v).encode('utf-8'))

# Assuming `data` is a list of JSON objects
for record in data:
producer.send('json-data-topic', record)

producer.flush()
producer.close()
```

Verify that the data has been correctly sent to the Kafka topic. Use the Kafka console consumer tool to read messages from the topic and ensure they appear as expected:
```bash
bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic json-data-topic --from-beginning
```

Implement error handling and logging in your Python script to manage potential issues. This includes checking for connection errors, handling serialization issues, and logging message delivery reports:
```python
import logging

logging.basicConfig(level=logging.INFO)

try:
# Kafka producer code here
pass
except Exception as e:
logging.error(f"An error occurred: {e}")
```

By following these steps, you can efficiently move data from a JSON file to Kafka without using third-party connectors or integrations.