This study examines the system’s performance with implementation of the energy harvesting (EH) techniques at source node, S and relay node, R. The RF signals which are used to energy harvesting proccess are broadcasted by destination node, D. The information signals from S are sent to D via a R in a cooperative communication framework. The R uses the amplify and forward (AF) protocol to forward the received signal from S to D. We propose a network system which contain of three femto cells, and an access point of each femto cells work as a relay (R), in a macro cell with a base station or eNB as a destination (D). To find the  best R for forwarding the information signal from S to D, we choose the partial relai selection strategy.   From the simulation results can be shown that the throughput system and the outage probability system are affected by the location of S or the distance of between S-R and S-D. Also affected by the access point power of femto cell that is connected to electric source, and  time swithing factor, ρ which is used to harvest energy at S and R nodes. The shorter distance of between S-R and S-D results a better value of  throughput system and the outage probability system, since the gain channel value will be high and increases the SNR value at D. More bigger the power from battery of access point femto cell that is used together with the harvested power by R to forward the signal will result a better value of  throughput system and the outage probability system. More smaller time swithing factor, ρ results more time period for transmitting signal by S and forwarding sinyal by R, therefore increases the transmit power at S and R. Increasing the transmit powers result the increasin SNR value at D, and result a better value of  throughput system and the outage probability system.

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In this paper, presented an OFDM performance evaluation with the Non-uniform Coded-Modulation in the underwater acoustic channel in shallow water. A row of binary information is encoded by BCH code (7.4) for error correction and combined with Non-uniform modulation which is the result of modification of the subcarrier arrangement of the OFDM standard IEEE 802.11a. Modeling uses 52 subcarriers consisting of 4 pilots and 48 subcarrier data which are divided into three parts, i.e.: 24 subcarrier data with 16-Quadrature Amplitude Modulation (16-QAM) modulation, 12 subcarrier data with Quadrature phase-shift keying (QPSK) modulation and 12 other data subcarriers with Binary key-shift keying (BPSK) modulation. The channel type used describes the Additive White Gaussian Noise (AWGN) condition and is the result of measurement data. The analysis is done in terms of Signal-to-Noise-Ratio (SNR) and Bit Error Rate (BER) show that the value of the error rate of 0.001, modulation of BPSK, QPSK, 16-QAM, and Non-uniform modulation required the power each 5 dB, 8.5 dB, 10.3 dB, and 7.9 dB. However, the proposed system is able to suppress the required power up to 6 dB. The proposed system also shows better performance than fixed modulation and Non-uniform Modulation, which in this case with low power to achieve the same error rate. In addition, the proposed system has a coding gain of 1.9 dB compared to a non-uniform modulation system. Real testing is also done with measurement data at Mangrove estuary, Surabaya. The results show performance similar to simulations performed on Gaussian noise channels.

The Malacca Strait is the second busiest strait in the world, where about 80,000 ships pass each year. As an Indonesian territory which is directly adjacent to the southern side of the Malacca Strait, Bengkalis district has an important role in monitoring and surveillance activities in the waters of the Melaka Straits. To achieve this, a monitoring system is needed that can monitor ship traffic passing through the waters of the Malacca Strait. As a system that can capture the signals of ships crossing the Melacca Strait, Automatic Identification System (AIS) is one solution that can be used to carry out ship traffic monitoring activities. This research focuses on the design of a backend application for realtime monitoring of ship traffic in the waters of the Malacca Strait based on AIS. The built backend application functions as a data processing service provider and RESTful API. The performance of the built application is measured based on the efficiency aspect of data storage using the data filtering algorithm that has been designed. Where by applying the data filtering algorithm, the efficiency of using data storage in the database is 18.45%.