Ningsih, Setia
Faculty Of Mathematics And Natural Sciences, Universitas Negeri Gorontalo, Indonesia

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Penerapan Metode Suksesif Interval pada Analsis Regresi Linier Berganda Setia Ningsih; Hendra H. Dukalang
Jambura Journal of Mathematics Vol 1, No 1: Januari 2019
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (809.777 KB) | DOI: 10.34312/jjom.v1i1.1742

Abstract

Dalam menggunakan model regresi linier disyaratkan data yang digunakan hendaknya berskala interval atau rasio. Akan tetapi jika skala dalam bentuk ordinal tetap dipaksakan menggunakan model regresi linier, maka akan diperoleh koefisien korelasi yang kecil dan tidak memenuhi syarat sebagaimana yang diharapakan dalam model regresi. Tujuan dari penelitian ini adalah melihat bagaimana melakukan pemodelan regresi linier berganda dengan menggunakan data berskala ordinal yang ditransformasi menjadi data interval. Data yang digunakan adalah data mengenai tingkat kepatuhan pembayaran pajak di Provinsi Gorontalo. Data hasil penelitian ini berskala ordinal sehingga dilakukan transformasi data menjadi skala interval dengan menggunakan metode suksesif interval. Setelah dilakukan transformasi, diperoleh model regresi dengan menggunakan data interval maka asumsi model regresi linier berganda terpenuhi, dan mempunyai kooefisien determinasi yang lebih tinggi, sedangkan model regresi linier dengan menggunakan data ordinal maka asumsi regresi linier tidak terpenuhi.
Comparison of R and GeoDa Software in Case of Stunting Using Spatial Error Model Hendra H Dukalang; Ingka Rizkyani Akolo; Muhammad Rezky Friesta Payu; Setia Ningsih
Jurnal Varian Vol 6 No 1 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v6i1.1993

Abstract

Gorontalo city is the capital of Gorontalo province which has a high incidence of stunting. This high incidence rate needs to get attention because stunting can further become one of the indicators of the low quality of human resources in Gorontalo. One method that can be used to analyze the factors that cause stunting is the spatial regression method, namely Spatial Error Model (SEM). SEM model can analyze used R and GeoDa software. The purpose of this study is to find out the factors that affect stunting in Gorontalo City and compare the results of the Spatial Error Model analysis based on the results of R and GeoDa software. The results showed that there are two variables that have a significant effect on stunting incidence, namely the variable number of Complete Basic Immunization (IDL) and the amount of proper sanitation. The R and GeoDa software comparison results showed there were several similar outputs i.e. LM test output, parameter estimation and R-square value, while the different outputs were Moran's I test output, Breusch-Pagan test, and AIC value. Although Moran's I test output and Breusch-Pagan’s test are different, but they produce the same conclusion. The AIC value produced by GeoDa is smaller than R software.
The Influence of Consumer Behavior After COVID-19 Pandemic on Use of Digital Wallets in Gorontalo Armayani Arsal; Setia Ningsih
Jurnal Ekonomi Islam Vol 2 No 1 (2023): February 2023
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/iefj.v2i1.111

Abstract

This research is a descriptive quantitative research type, with the aim of looking at the influence of consumer behavior during the COVID-19 pandemic on the use of digital wallets in Gorontalo. The variables used are cultural, social, personal, and psychological. The data used are primary data obtained through a questionnaire with a total of 50 respondents. The data are was processed using multiple linear regression through the Eviews program. From the results of this study it was found that personal and psychological variables had a significant influence on the dependent variable, namely the use of digital wallets. It is hoped that further researchers will be able to examine more deeply and take more samples so that the results obtained are more accurate.
Efek Literasi Keuangan Terhadap Minat Berbisnis Menggunakan Model Persamaan Struktural Least Square Parsial Setia Ningsih; Armayani Arsal
Journal of Principles Management and Business Vol. 2 No. 01 (2023): Journal of Principles Management and Bussines
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/jpmb.v2i01.109

Abstract

The ability to manage finances can affect one's interest in entrepreneurship. With good financial conditions and knowledge of financial management can improve the business being undertaken. This study aims to determine the effect of financial literacy consisting of financial knowledge, financial behavior and financial attitude on people's interest in entrepreneurship. This research was conducted by conducting a survey of 96 respondents selected using purposive sampling technique and determining the number of samples using the Lemeshow formula. The data collection method uses a questionnaire that is distributed via the Google form. The data analysis technique used is variance-based SEM, namely SEM-PLS. The results of the study show that the variables financial knowledge, financial behavior and financial attitude have a positive and significant impact on people's interest in entrepreneurship with an R-Square value of 76.40%.