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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi MABIS: Manajemen dan Bisnis
Priska Arindya Purnama
Prodi Statistika Jurusan Matematika FMIPA Universitas Brawijaya
Economics, Econometrics & Finance Mathematics Social Sciences

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Modelling of Multi Input Transfer Function for Rainfall Forecasting in Batu City Purnama, Priska Arindya
CAUCHY Vol 5, No 1 (2017): CAUCHY
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (833.822 KB) | DOI: 10.18860/ca.v5i1.4288

Abstract

The aim of this research is to model and forecast the rainfall in Batu City using multi input transfer function model based on air temperature, humidity, wind speed and cloud. Transfer function model is a multivariate time series model which consists of an output series (Yt) sequence expected to be effected by an input series (Xt) and other inputs in a group called a noise series (Nt). Multi input transfer function model obtained is (b1,s1,r1) (b2,s2,r2) (b3,s3,r3) (b4,s4,r4)(pn,qn) = (0,0,0) (23,0,0) (1,2,0) (0,0,0) ([5,8],2) and shows that air temperature on t-day affects rainfall on t-day, rainfall on t-day is influenced by air humidity in the previous 23 days, rainfall on t-day is affected by wind speed in the previous day , and rainfall on day t is affected by clouds on day t. The results of rainfall forecasting in Batu City with multi input transfer function model can be said to be accurate, because it produces relatively small RMSE value. The value of RMSE data forecasting training is 7.7921 while forecasting data testing is 4.2184. Multi-input transfer function model is suitable for rainfall in Batu City.
EVA as an indicator of financial performance in Tech companies during the Covid-19 pandemic Kumalasari, Riesta Devi; Herdina, Ajeng Mira; Murniati, Murniati; Purnama, Priska Arindya; Prasetyo, Yogi Tri
Manajemen dan Bisnis Vol 22, No 2 (2023): September 2023
Publisher : Department of Management - Faculty of Business and Economics. Universitas Surabaya.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/jmb.v22i2.693

Abstract

During the Covid-19 pandemic, many technology companies recorded sales volume increases. It happened because the pandemic pushed everyone to utilise technology devices for daily activities. Therefore, it drives the sales of technology companies to improve. This research uses the EVA (Economic Value Added) indicator as a financial analysis tool to evaluate the financial performance of companies in the technology sector on the Indonesia Stock Exchange before and during the Covid-19 pandemic. This research uses technology companies' financial statements from January 2019 - December 2020 as secondary data. The research analysis is in the form of a descriptive analysis of EVA calculation. The findings revealed that two of the four selected technology companies have a positive EVA value, which indicates that the two companies have been able to provide added value from their operational activities even before the Covid-19 pandemic occurred in Indonesia. Meanwhile, another company generate a negative EVA, which suggests that the company's management has not been able to create added value for the company. The company's ability to maintain financial sustainability represented by EVA value is ultimately not only defined by certain situations, such as a pandemic, but also by its ability to formulate a capital structure strategy.
Co-Authors Herdina, Ajeng Mira Kumalasari, Riesta Devi Murniati . Prasetyo, Yogi Tri