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In this work, we propose measuring the propagation speed on the transmission medium in the form of a 2.5mm NYAF cable. The method used is load matching and time difference of arrival (TDA). The load matching method uses the same load as the characteristic impedance of the cable. While the TDA method measures two points on the cable with a capacitive load on the output side. From the results of the study, it was found that on the load impedance method, the average propagation speed on a 2.5mm NYAF cable is 1.9 × 108 m»s or 0.63 c. Meanwhile, in the time difference of arrival (TDA) method, the average propagation speed on a 2.5mm NYAF cable is 0.5 × 108 m»s or 0.17 c.

The absence of an increase in the interest of the young population to enter the agricultural sector has an impact on the amount of food production each year. This happens because young people think that the farming profession is not promising for survival. One of the developments that can attract the interest of young people is by utilizing technology such as smart farming. This paper proposes initial modeling before implementing smart farming by analyzing the characteristics of the object to be planted. The purpose of this paper is to optimize plant growth and development to increase the potential of agricultural production according to the surrounding environment. The plants analyzed included eggplant, cherry tomatoes, guava, citrus, and cucumbers. The parameters studied were temperature and soil moisture in plants. The test results found that cherry tomatoes and cucumbers are not suitable if planted in the Surabaya city environment because they require low temperatures as a condition for growing. Meanwhile, eggplant, guava, and citrus plants, if placed in a place exposed to direct sunlight, will cause the soil moisture to decrease, so that the plants do not grow optimally.

Today, the waste problem has become more serious, because the waste can cause environmental pollution and bad smell pollution. The less awareness of cleanliness is the main factor, especially the less awareness of throwing waste at the right place. Based on the data of the Ministry of Environment and Forestry “Environmental Ignorance Behavior” in 2008 said that around 72 percent of Indonesian less be aware of the waste problem generally with plastic waste, this waste will flow to the sea and make pollution. This research objective is to design and accomplish previous roboboat research that still has some drawbacks. This research employs digital image processing and neural network based on the tensor flow framework method to overcome less accurate waste detection as well as autopilot navigation system. The research result shows by using 3600 dataset images, the model has the lowest loss 0.9 and 64.3% average accuracy with various samples and distance.