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LTE Advanced Network Performance Analysis for Smartfren and Telkomsel in the City of Yogyakarta

This study investigates comprehensive assessment of LTE-Advanced network performance in urban environment of Sudirman Road and Malioboro Road, Yogyakarta, Indonesia. This study aims to measure and assess the performance or quality of the LTE-Advanced network based on the Quality of Service (QoS) and Signal Strength parameters using the drive test measurements data collection method. This study analyses signal strength parameters (RSRP and RSRQ) and quality of service metrics (delay and jitter) across two prominent operators, Smartfren and Telkomsel. Our investigation unveils robust signal strength from both operators at Sudirman Road, with Smartfren demonstrating notable superiority in RSRQ. Similarly, at the Malioboro Road, both operators exhibit commendable RSRP, with Smartfren maintaining a marginal advantage. In terms of quality of service, our findings affirm that both Smartfren and Telkomsel consistently deliver low latency and maintain satisfactory jitter levels, ensuring uninterrupted connectivity experiences for users. While Telkomsel typically leads in delay performance, Smartfren showcases superior jitter performance at specific points at Sudirman Road. Conversely, at Malioboro Road, Telkomsel outperforms Smartfren in both delay and jitter metrics. These insights offer invaluable guidance for network optimization strategies, empowering operators to enhance service quality and enrich connectivity for the users in Yogyakarta. Furthermore, our study contributes to the broader understanding of LTE-Advanced network performance, emphasizing the significance of signal strength and quality of service parameters in ensuring optimal user experiences in urban environments.

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Design of Automatic Transfer Switch System Solar Power Plant – PLN

The utilization of solar power for generating energy is increasing in scale. The Solar Power Plant (SPP) operating system comprises On Grid, Off Grid, and Hybrid systems. To successfully execute a power supply transfer operation, it is important to do thorough study. The transfer process is automated by the utilization of voltage sensors. The voltage sensing is derived from the output of both the SPP system and the PLN (Indonesian State Electricity Company) system. This study involved conducting prime SPP (Self-Paced Reading) and prime PLN (Picture Naming) tasks. The stress analysis technique is conducted during transfer in both primes. When converting SPP to PLN and transferring from PLN to SPP, voltage measurements are conducted if the SPP is in its prime state. When the power line network (PLN) is in its optimal state, voltage measurements are conducted during the transition from PLN to the solar power plant (SPP) and vice versa. When the SPP is in its prime state, the average voltage during the transfer from SPP to PLN is at 217.8 V, as indicated by the measurement findings. The average voltage for transferring power from the power grid (PLN) to the power plant (SPP) is at 225.4 V. During the peak power load period, the average voltage transferred from the power grid (PLN) to the power plant (SPP) is at 220.18 V, whereas the average value when moving from SPP to PLN is at 220.12 V. At the prime PLN, there is a minor voltage variance due to the higher stability of the PLN voltage.

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Design of Battery Charging System with CC-CV Method Using Interleaved Buck-Boost Converter

The transition of renewable energy has become an interesting issue and a worldwide concern that is frequently discussed. Solar panels are regarded to have the most potential in tropical areas like Indonesia. However, weather and sunlight intensity have a substantial impact on the amounts of electricity generated by solar panels. Therefore, a battery which functions as a backup supply is required. Lead acid batteries are used in numerous applications. The performance of lead-acid battery is commonly influenced by temperature and charging time, which makes it vulnerable to overcharging. Multistage charge methods, namely Constant Current-Constant Voltage (CC-CV), are used to extend battery life, reduce charging time, and avoid the risk of overcharging. Fuzzy Logic Controller (FLC) is used to adjust charging current and voltage on the battery based on the setpoint. Based on the CC-CV charging system simulation results, a constant current value can be obtained when the CC condition is 4.5 A, and a transition to the CV condition occurs when the voltage value on the battery reaches 14.4 V. When the battery reaches its maximum capacity, the current is reduced to 3% of the battery’s capacity. The rate of fully charged current triggers the relay to turn on, to ensure that the charging process has been completed.

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