Pratiwi, Salma
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PENGARUH ROA TERHADAP FDR PADA LAPORAN KEUANGAN BANK SYARIAH INDONESIA TAHUN 2019 – 2023 Pratiwi, Salma; Az-zahra, Annisa Khoiro; Hanani, Hanani; Abdullah, Farizi; Wijaya, Haikal; Saputra, Bobi; Armaria, Desi; Nurhafiani, Nurhafiani
JEBIMAN : Jurnal Ekonomi, Bisnis, Managemen dan Akuntansi Vol. 2 No. 5 (2024): SEPTEMBER
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Penelitian ini bertujuan untuk menguji pengaruh Rasio Rentabilitas (ROA) terhadap Rasio Likuiditas (FDR) dan mengevaluasi kinerja keuangan PT. Bank Syariah Indonesia (BSI). Data yang digunakan diperoleh dari laporan keuangan BSI. Metode penelitian yang digunakan adalah penelitian kuantitatif. Penelitian ini menggunakan analisis regresi linear berganda sebagai teknik analisis, dan pengambilan sampel menggunakan teknik purposive sampling. Berdasarkan penelitian tersebut menunjukkan bahwa Return on assets (ROA) tidak berpengaruh terhadap Financing to Deposit Ratio (FDR). Hal ini menunjukkan bahwa dampak FDR terhadap ROA tidak dipengaruhi oleh kenaikan atau penurunan
Perfomance Comparison of Genetic and Greedy Algorithms in Underlay Device-to-Device Communication Pratiwi, Salma; Fahmi, Arfianto; Widhi Prabowo, Vinsensius Sigit
EMITTER International Journal of Engineering Technology Vol 8 No 2 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i2.566

Abstract

The number of cellular users (CU) continues to increase in Indonesia. This impacts a large network load for the number of devices connected to the main network so it will have an impact on the quality of service. Device-to-Device (D2D) communication as components for LTE-A technology enabling a direct wireless link between the CUs without routing the data via the evolved Node B (eNB) signal or the core network. The need for algorithm and power control used to allocate radio resources so it can get a good quality of service because of communications technology D2D. In this study, we analyze and compare the performance parameters of D2D communication systems, including system interference, system sum-rate, system spectral efficiency, total energy system, and system energy efficiency based on Genetic and Greedy Algorithms in allocating radio resources and controlling the power of users. The genetic algorithm works with three operators in allocating resource block (RB), including proportional selection, crossover, and mutation. This process is repeated many times to produce several generations so that the best allocation can be got. The genetic algorithm has a flexible number of D2D and cellular communications in several RBs, minimum signal to interference plus noise ratio (SINR) also considered for mobile communication in ensuring the quality of its services. Numerical evaluations demonstrate the superior performance of the Genetic Algorithm in terms of system power, energy efficiency, and interference mitigation. As repetition gets larger, the Genetic algorithm results in better spectral efficiency.