Article Per Year (5 Year)
p-Index From 2021 - 2026
3.369
P-Index
This Author published in this journals
All Journal Statistika CAUCHY: Jurnal Matematika Murni dan Aplikasi Science and Technology Indonesia Jurnal Matematika: MANTIK Jurnal Matematika Sains dan Teknologi BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) JURNAL PENDIDIKAN TAMBUSAI Jurnal Hilirisasi IPTEKS (JHI) Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Aplikasi Statistika & Komputasi Statistik Jurnal Matematika UNAND Community Development Journal: Jurnal Pengabdian Masyarakat Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Makara Journal of Health Research Jurnal Natural Multiverse: Open Multidisciplinary Journal
Izzati Rahmi HG
Universitas Andalas
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Veterinary Other

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Science and Technology Indonesia

 1 
The Comparison of WLS and DWLS Estimation Methods in SEM to Construct Health Behavior Model Ferra Yanuar; Fadilla Nisa Uttaqi; Aidinil Zetra; Izzati Rahmi; Dodi Devianto
Science and Technology Indonesia Vol. 7 No. 2 (2022): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (536.173 KB) | DOI: 10.26554/sti.2022.7.2.164-169

Abstract

It is unknown how reliable various point estimates, standard errors, and standard several test statistics are for standardized SEM parameters when categorical data used or misspecified models are present. This paper discusses the comparison between WLS and DWLS for examining hypothesized relations among ordinal variables. In SEM, the polychoric correlation is employed either in WLS or DWLS. This study constructs the Health behavior model as an endogenous latent variable in which exogenous latent variables are Perceived susceptibility and Health motivation. All indicators are in categorical types. Thus, data are not multivariate normal, or the model could be misspecified. This study compares the values of standard deviation and coefficient determination to determine a better model. The criteria for the goodness of fit for the overall model are based on RMSEA, CFI, and TLI values. This present study found that the WLS estimator method resulted in better values than DWLS’s.
Spatial Autoregressive Quantile Regression with Application on Open Unemployment Data Ferra Yanuar; Tasya Abrari; Izzati Rahmi HG; Aidinil Zetra
Science and Technology Indonesia Vol. 8 No. 2 (2023): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2023.8.2.321-329

Abstract

The Open Unemployment Level (OUL) is the percentage of the unemployed to the total labor force. One of the provinces with the highest OUL score in Indonesia is West Java Province. If an object of observation is affected by spatial effects, namely spatial dependence and spatial diversity, then the regression model used is the Spatial Autoregressive (SAR) model. Quantile regression minimizes absolute weighted residuals that are not symmetrical. It is perfect for use on data distribution that is not normally distributed, dense at the ends of the data distribution, or there are outliers. The Spatial Autoregressive Quantile Regression (SARQR) is a model that combines spatial autoregressive models with quantile regression. This research used the data regarding OUR in West Java in 2020 from the Central Bureau of Statistics. This study develops to modeling the Open Unemployment Level in all province in Indonesia using modified spatial autoregressive model with the quantile regression approach. This study compares the estimation results based on SAR and SARQR models to obtain an acceptable model. In this study, it was found that the SARQR model is better than SAR at dealing with the problems of dependency and diversity in spatial data modeling and is not easily affected by the presence of outlier data.
Co-Authors Admi Nazra Alfiaturrahmi, Alfiaturrahmi Arrival Rince Putri Bahri, Susila Baqi, Ahmad Iqbal Budi Susetyo Citra Komang Sari Devianto, Dodi Efendi, Riswan Fadila Rasyid Fadilla Nisa Uttaqi Febriyuni, Rahmi Firdawati, Firdawati Haripamyu Haripamyu Hazmira Yozza Helmi, Monika Rianti Indahwati Indahwati Jenizon Jenizon Kamarni, Neng Khairunnisa, Latifa Lestari, Sarima M.PIO HIDAYATULLAH Maiyastri, Maiyastri Mega Susanti Mutiara Fara Nabilla Nadya Putri Alisya Narwen Narwen NINDI MAULA AZIZAH Qistina, Nurul Ain Rahmat Fajri Rahmat Fajri Riri Lestari Samat, Nor Azah Stepani Burni Safitri Suci Rahma Nio Syafwan, Mahdhivan Syamsiah, Syamsiah Tasya Abrari WULANDARI, FRILIANDA Wulandari, Yana Yanita Yanita Yanuar, Ferra Yulianti, Lyra Yulmiati Yulmiati Zahra, Latifah Zetra, Aidinil