Rosyidah, Haniatur
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PEMODELAN VECTOR AUTOREGRESSIVE X (VARX) UNTUK MERAMALKAN JUMLAH UANG BEREDAR DI INDONESIA Rosyidah, Haniatur; Rahmawati, Rita; Prahutama, Alan
Jurnal Gaussian Vol 6, No 3 (2017): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.466 KB) | DOI: 10.14710/j.gauss.v6i3.19306

Abstract

The economic stability of a country can be seen from the value of inflation. The money supply in a country will affect the value of inflation, so it is necessary to control the money supply. The money supply in Indonesia consists of currency, quasi money, and securities other than shares. One of the factors affecting the amount of currency, quasi money, and securities other than shares is the SBI interest rate. Time series data from the money supply components are correlated. To explain multiple time series data variables that are correlated we can use the VAR approach. VAR model with the addition of an exogenous variable is called VARX. The purpose of this study is to obtain models to predict the amount of currency, quasi money, securities other than shares using the VARX approach with the SBI interest rate as an exogenous variable. The results of data analysis in this study, the model obtained is VARX (1,1). Based on t test with 5% significance level, SBI interest rate variable has no significant effect to variable of currency amount, amount of quasi money, or amount of securities other than shares. Residual model VARX (1,1) satisfies the white noise assumption, while the normal multivariate assumption is not satisfied. The value of MAPE for currency variables (7,53969%), quasi money (0,49036%), and securities other than shares (9,64245%) indicates that the VARX (1,1) model has excellent forecasting ability that can be used for forecasting future periods. Forecasting results indicate an increase in the amount of currency, quasi money, or securities other than shares in each period..Keywords : Amount of currency, amount of quasi money, amount of securities other than shares, SBI interest rate, VARX, MAPE
PENGARUH SOFT SKILLS SISWA MELALUI MOTIVASI BELAJAR TERHADAP KESIAPAN KERJA SISWA PADA PROGRAM STUDI MANAJEMEN PERKANTORAN DAN LAYANAN BISNIS SMK NEGERI 1 LAMONGAN Rosyidah, Haniatur; Ibadil Maula, Farij
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Public
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.60153

Abstract

The high open unemployment rate among graduates of Vocational High Schools (SMK), along with the increasingly competitive demands of the labor market, indicates that SMK graduates are required not only to possess hard skills but also soft skills supported by high learning motivation in order to achieve optimal job readiness. In line with this phenomenon, this study aims to analyze the effect of soft skills on the job readiness of students in the Office Management and Business Services Program (MPLB) at SMK Negeri 1 Lamongan, with learning motivation considered as an intervening variable. This study employed a quantitative approach with an explanatory research design. The sample consisted of 140 students selected through probability sampling using the proportionate stratified random sampling method from a population of 215 students Data were collected through questionnaires distributed via Google Forms and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software. The results indicate that soft skills have a positive and significant effect on job readiness, with a t-statistic value of 5.666 > 1.96 and a p-value of 0.000 < 0.05. Soft skills also have a positive and significant effect on learning motivation, with a t-statistic value of 12.239 > 1.96 and a p-value of 0.000 < 0.05. Furthermore, learning motivation has a positive and significant effect on job readiness, with a t-statistic value of 7.233 > 1.96 and a p-value of 0.000 < 0.05. In addition, learning motivation was found to significantly mediate the effect of soft skills on job readiness, with a t-statistic value of 6.786 > 1.96 and a p-value of 0.000 < 0.05. This study concludes that soft skills positively influence students’ job readiness through learning motivation as a mediating variable.