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The

Hematology tests are examinations that aim to know the state of blood and its components, one of which is leukocytes. Hematologic examinations such as the number and morphology of blood generally still done manually, especially by a specialist pathologist. Despite the fact that today there is equipment that can identify morphological automatically, but for developing countries like Indonesia, it can only be done in the capital city. Low accuracy due to the differences identified either by doctors or laboratory staff, makes a great reason to use computer assistance, especially with the rapid technological developments at this time. In this paper, we will emphasize our experiment to screen leucocyte cell nucleus by identifying the contours of the cell nucleus, diameter, circumference and area of these cells based on digital image processing techniques, especially using the morphological image. The results obtained are promising for further development in the development of computer-aided diagnosis for identification of leukocytes based on a simple and inexpensive equipment.

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This study develops a prototype of a weather station with LoRa wireless infrastructure. LoRa is a wireless connectivity technology supporting the internet of things (IoT) system. This technology is an alternative to other wireless connectivity modules that have already been popular such as GSM modules, Wifi Modules and Bluetooth (BLE). The use of the LoRa network serves to increase the range of wireless cells that can reach distances of up to 5 kilometers while still having low power consumption. One LoRa network cell can connect end devices to hundreds of nodes. Weather parameters measured include temperature, humidity, air pressure, rain detection, and wind speed. The prototype consists of Arduino UNO, DHT11 sensor, raindrop sensor, anemometer sensor, BMP180 sensor, LoRa shield, LoRa Gateway, and ThingSpeak web application. While the number of end device nodes built is 3 nodes in one cell. As a result, the system can function properly. This system has the potential to be implemented in urban and rural areas with various types of sensors connected. Between cells can be managed to form a Low Power-Wide Area Network as a wider sensor network.