With the growth of the customers and the expansion of the 4G LTE network in the area of Padang City, a PCI (Physical cell identity) modulo interference spot has been detected. PCI modulo interference occurs when an area is covered by two or more cells, which have a strong signal, and these cells have the same PCI modulo value. Based on the measurement results by the driving test method, the network conditions were not optimal because the SINR percentage (Signal to Interference Noise Ratio) in the good category was still low, at 9.47%, and the download throughput in the good category was 18.94%. This indicated that the interference in the area was quite high. Thus, it was necessary to do optimization action. The optimization action was taken by rotating the PCI on the site by considering the modulo value of each site so that the PCI with the same modulo did not merely lead to one location. Besides, action was taken to change the azimuth direction of cells that were too dominant. Based on the optimization process that has been carried out and the driving test activities that have been carried out again, the performance in the existing conditions has increased. The SINR percentage in the good category increased by 10%, so it became 19.47%, and the download throughput in the good category increased by 44.74% and became 63.68%.

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In this study, a comparison of the attenuation value of single mode aerial cable with pigtail is made. Perform several types of connections using a 4 cm and 6 cm protection sleeve, with one and two connections and use a barrel adapter connector. How does the connection affect the installation of a 1:2 passive splitter device. The measuring instruments used for the measurement process are Optical Power Meter (OPM) and Optical Time Domain Reflectometer (OTDR). The attenuation value of aerial single mode optical cable is smaller than that of pigtail cable. The measurement results using OPM at a wavelength of 1310 nm, connection using a 4 cm protection sleeve, one connection, the attenuation value is 0.18525dB, this value is smaller than the pigtail cable, which is 1.2728 dB. In the installation of a passive splitter, the attenuation value on the aerial cable is smaller, namely 0.2081 dB compared to the pigtail cable, which is 4.3281. The measurement results using the OTDR obtained the connection loss value for the connection type using a 6 cm protection sleeve, one connection is smaller with a value of 0.155 dB, compared to the connection type using an adapter barrel with a value of 12,216 dB.

Control and monitoring of water in a tank is a computer instrumentation needed in industry. This research discusses a water monitoring application in water torn automatically based on android and supported by a microcontroller. One of the developing technology fields is microcontroller technology. In designing this device, it uses a NodeMCU microcontroller as a data processor and an ultrasonic sensor as data input as well as a buzzer and servo. An ultrasonic sensor is a device that can measure the distance of an object by utilizing reflected ultrasonic waves. This water monitoring uses firebase as a database to store data. To display measurement data, the interface is also designed using the Android Studio application software in the form of graphs, pump status, and water notifications. The test results show that the ultrasonic sensor used is able to measure water levels from 2 cm to 20 cm with an average measurement error of 4.93%. Water monitoring is designed to be able to produce a system output response according to the reference value given. In addition, water level monitoring can be displayed on the Android software interactively

A fire in a building or office is one of the main cases that is currently being serious attention for businessmen and government agencies. Considering there are no activities in an office during nights and holidays, makes the business owners feel uncomfortable leaving the office. To overcome this problem, a sensor is to monitor a situation in the office whether there is a gas leak or a hotspot. It is hope that air pollution and fire monitoring tool can help to prevent fires. The way this tool works uses the Arduino Uno to retrieve data from the gas sensor and flame sensor. The data will be sent to the Ubidots server via NodeMCU ESP8266 as wifi or the internet. The monitoring display can be seen via Android and when there is an emergency, the ubidots server will immediately notify the room owner. The result shows that the effective distance of the sensor is around 10cm to 50 cm and the overall system runs well