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All Journal Zero : Jurnal Sains, Matematika, dan Terapan
Muhammad, Faisal
IPB University
Agriculture, Biological Sciences & Forestry Chemistry Mathematics Physics

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Performance Evaluation of RSSI Prediction Methods in Wireless Communication Networks Rifki, Mhd Ikhsan; Ikhwan, Ali; Muhammad, Faisal
ZERO: Jurnal Sains, Matematika dan Terapan Vol 8, No 1 (2024): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v8i1.19420

Abstract

Continuous communication services that ensure user connectivity with the communication network are important. The communication network should be able to accommodate erratic user movements with high mobility. This research studies the performance of three different RSSI prediction methods: decision trees, random forests, and linear regression. Evaluation is carried out using statistical metrics, including mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), and percentage accuracy. This analysis was carried out to understand how well each model predicted RSSI values based on distance. The research results show that Decision Tree Performance has an accuracy of 83.333%, Random Forest has a high accuracy of 97.2545%, and the Linear Regression Model provides quite good predictions with an accuracy of 91.6667% in predicting RSSI values.
Implementation of Entry Age Normal and Projected Unit Credit Methods in Pension Fund Calculation Harahap, Tua Halomoan; Maysarah, Maysarah; Alisawi, Wisam Ch.; Jabbar, Abeer H.; Muhammad, Faisal
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 1 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i1.24304

Abstract

Pension funds are financial assets provided to individuals who have retired due to reaching retirement age. PT. Pasifik Arta Indonesia, a company established in Medan for approximately five years, lacks a comprehensive understanding of pension funding, specifically concerning normal contributions and actuarial obligations for employees and agencies using the EAN and PUC methods. This study aims to provide an overview of pension fund calculations at PT. Pasifik Arta Indonesia by comparing the two methods. The results show that normal contributions under the PUC method increase with the length of service, whereas the EAN method maintains constant contributions regardless of service length. Both methods share a common trait: the younger the employee at the time of hiring, the lower the normal contribution. Regarding actuarial obligations, both methods exhibit increasing values with longer service, with the EAN method resulting in higher obligations compared to the PUC method.
Co-Authors Alisawi, Wisam Ch. Ikhwan, Ali Jabbar, Abeer H. Maysarah, Maysarah Mhd Ikhsan Rifki Tua Halomoan Harahap