Rahmawati Erma Standsyah

@unesa.ac.id

Faculty of Mathematics and Natural Sciences
State University of Surabaya

Rahmawati Erma Standsyah


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https://researchid.co/ermastandsyah

RESEARCH, TEACHING, or OTHER INTERESTS

Mathematics, Applied Mathematics, Statistics and Probability, Modeling and Simulation
7

Scopus Publications

192

Scholar Citations

6

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • INSTITUTIONAL QUALITY AND GOVERNMENT EXPENDITURE: AN EMPIRICAL STUDY OF THE ENVIRONMENTAL KUZNETS CURVE (EKC) IN G20 COUNTRIES
    Suyanto Suyanto, Muhammad Afdha Alif Almughni, Jajuk Suprijati, Rahmawati Erma Standsyah, Sayekti Suindyah Dwiningwarni
    Economics and Environment, 2024
    G20 member countries are forced to reduce carbon dioxide emissions from the global community as well as economic development constraints from domestic resources and the environment. Literature related to institutional quality and government expenditure is still limited, especially in G20 countries. To provide empirical evidence to support the theoretical argument, the study investigated the effects of institutional quality and government expenditure on CO2 emissions using a balanced panel dataset of nineteen countries that were members of the G20 between 1995 and 2015. Empirical results show that institutional quality is able to reduce carbon emissions. A good government can formulate strict environmental regulations and ensure transparency, which allows investment in green technologies and renewable energy. Other findings suggest that government spending can increase carbon emissions. The findings show that government spending in G20 countries still does not consider environmental impacts. Several policy recommendations are suggested.
  • Regional Financial Management towards Village Development Independency in Indonesia Lacking Regions
    Suyanto ., Muhammad Afdha Alif Almughni, Rahmawati Erma Standsyah, Amirul Mustofa, Eny Haryati, Dendy Syahru Ramadhan, Bayu Taufiq Possumah
    Journal of Ecohumanism, 2024
    The aim of this study is to examine the impact of regional government expenditure on regional autonomy, taking into account indices of social, economic, and ecological resilience within the context of impoverished regions. This study employs panel regression and route analysis techniques to analyze data from 62 districts identified as undeveloped regions in Indonesia throughout the period of 2016–2022. The exogenous factors in this study encompass capital investment, operating expenditure, and balancing funds, whereas the endogenous variable is the village development index. The findings show that (1) capital expenditure, operational expenditure, and balancing funds have an indirect influence on IDM through the economy. (2) Capital expenditure has a negative impact on economic growth because underdeveloped areas are increasingly concentrated in the eastern region and cause economic disparities to grow. (3) Operational expenditure and balancing funds have a positive impact on the regional economy, which also impacts village independence.
  • Estimation of Poverty Model Effect Size in Indonesia Using Meta-Analytic Structural Equation Modeling (MASEM)
    Rahmawati Erma Standsyah, Bambang Widjanarko Otok, Agus Suharsono
    Aip Conference Proceedings, 2023
    Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Rahmawati Erma Standsyah, Bambang Widjanarko Otok, Agus Suharsono; Estimation of poverty model effect size in Indonesia using meta-analytic structural equation modeling (MASEM). AIP Conference Proceedings 23 January 2023; 2588 (1): 050019. https://doi.org/10.1063/5.0112323 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
  • Partitional Clustering of Underdeveloped Area Infrastructure with Unsupervised Learning Approach: A Case Study in the Island of Java, Indonesia
    Bambang Widjanarko Otok, Agus Suharsono, Purhadi Purhadi, Rahmawati Erma Standsyah, Harun Al Azies
    Journal of Regional and City Planning, 2022
    This study attempted to identify underdeveloped areas in regencies/cities on the island of Java, Indonesia, based on a number of infrastructure indicators. An unsupervised learning approach was used to perform partition clustering with the K-Means, K-Medoids, and CLARA methods. In addition to technically obtaining clustering results and conducting a performance comparison of the three unsupervised learning methods, another objective of this research was to map the clustering results to make it easier to recognize the characteristics of the regions indicated as underdeveloped areas, which should be absolute priorities for infrastructure development. It was found that the best clustering method was the CLARA method, with a connectivity coefficient of 7.4794 and a Dunn’s index value of 0.1042. The partition clustering of regencies/cities on Java Island using the CLARA method based on infrastructure indicators resulted in 99 regencies/cities included in the cluster of areas with underdeveloped infrastructure, while 12 regencies/cities were included in the cluster of areas with developing infrastructure, and 8 regencies/cities were included in the cluster of areas with developed infrastructure.
  • Fixed effect meta-analytic structural equation modeling (Masem) estimation using generalized method of moments (gmm)
    Rahmawati Erma Standsyah, Bambang Widjanarko Otok, Agus Suharsono
    Symmetry, 2021
    The fixed effect meta-analytic structural equation modeling (MASEM) model assumes that the population effect is homogeneous across studies. It was first developed analytically using Generalized Least Squares (GLS) and computationally using Weighted Least Square (WLS) methods. The MASEM fixed effect was not estimated analytically using the estimation method based on moment. One of the classic estimation methods based on moment is the Generalized Method of Moments (GMM), whereas GMM can possibly estimate the data whose studies has parameter uncertainty problems, it also has a high accuracy on data heterogeneity. Therefore, this study estimates the fixed effect MASEM model using GMM. The symmetry of this research is based on the proof goodness of the estimator and the performance that it is analytical and numerical. The estimation results were proven to be the goodness of the estimator, unbiased and consistent. To show the performance of the obtained estimator, a comparison was carried out on the same data as the MASEM using GLS. The results show that the estimation of MASEM using GMM yields the SE value in each coefficient is smaller than the estimation of MASEM using GLS. Interactive GMM for the determination of the optimal weight on GMM in this study gave better results and therefore needs to be developed in order to obtain a Random Model MASEM estimator using GMM that is much more reliable and accurate in performance.
  • A meta confirmatory factor analysis of the underdeveloped areas in the Java Island
    Bambang Widjanarko Otok, Agus Suharsono, Purhadi, Rahmawati Erma Standsyah, Harun Al Azies
    Aip Conference Proceedings, 2021
    Underdeveloped areas are regencies whose territories and communities are less developed than other regions at the national level. The regions of Java island are faster-developing areas than other areas outside of Java, but there are still areas in Java that are classified as underdeveloped areas. The backwardness of the area is measured based on six main criteria, namely economy, human resources, infrastructure, regional financial capacity, accessibility, and regional characteristics. This research can be carried out by compiling a model on the influencing factors of underdeveloped areas with the meta-analysis CFA TSSEM approach. The results of this study show that the analysis of the structural model can be accepted to explain the underdevelopment of areas in Java based on the result the Goodness of Fit Indicates, it is the RMSEA < 0.008 so it can be confirmed that the indicators used in infrastructure variables, HR variables, and regional characteristic variables are suitable to be used to measure the underdeveloped areas in Java.
  • Development of model poverty in Java using Meta-Analysis Structural Equation Modeling (MASEM)
    Bambang Widjanarko Otok, Rahmawati Erma Standsyah, Agus Suharsono, Purhadi
    Aip Conference Proceedings, 2019
    Indonesia still has many fundamental problems in terms of government, religion, socio-cultural issues and in particular the problem of poverty. Java is one of the Indonesian islands with 6 provinces and the largest population among the other islands of Indonesia, therefore the problem of poverty on Java must be given greater attention. Specific data on poverty in Java must be collected from several populations. In parallel with the development of statistics, the generalization of the population is not only based on the results of a study but also requires a lot of research, so that the development of statistical methods is necessary. The meta-analysis (MA) is a method that can combine a variety of studies to enable optimal research. The meta-analysis associated with Structural Equation Modeling (MASEM) is one of the developments of statistical methods to examine the influencing factors. The Structural Equation Modeling (SEM) model including poverty as an endogenous variable and economic factors, human resources (HR) and health as exogenous variables have been studied in each province of Java. From the results of these studies, will be developed by the MASEM method through the generalized least squares (GLS) approach in order to show the adequate poverty model on Java. The results of T-test model with the implementation of the MASEM GLS on MatlabR2018 (GLS-M) have shown that poverty was affected by health and HR with coefficient being -0.2761 and -0.2111 but was not affected by Economy. The accuracy of the poverty model, influenced by exogenous variables of economy, health, and human resources, is 50.6% with a chi-square value of 637.0749. While the performance of MASEM with TSSEM on RStudio is better than GLS-M or GLS on RStudio at the model fitting stage.

RECENT SCHOLAR PUBLICATIONS

  • Perceived Ease Of Use As An Intervening Factor In Students’ Perceptions Of Learning Outcomes When Completing Assignments Via An AI Chatbot
    RE Standsyah, R Sulaiman, DN Yunianti, FH Sentosa, NA Parsa
    Mathline: Jurnal Matematika dan Pendidikan Matematika 10 (4), 929-944 , 2025
    2025
  • Government Expenditure and Human Development in Indonesia
    S Suyanto, J Suprijati, W Budiarti, DS Ramdhan, MAA Almughni, ...
    AKRUAL: Jurnal Akuntansi 17 (1), 31-49 , 2025
    2025
  • Analisis Statistik Chi-Square Terhadap Efektivitas Suplemen Tablet Zat Besi dalam Meningkatkan Kadar Hemoglobin
    D Mustofani, H Hariyani, RE Standsyah
    UJMC (Unisda Journal of Mathematics and Computer Science) 11 (1), 47-52 , 2025
    2025
  • Institutional quality and government expenditure: an empirical study of the environmental Kuznets curve (EKC) in G20 countries
    S Suyanto, MAA Almughni, J Suprijati, RE Standsyah, SS Dwiningwarni
    Economics and Environment 90 (3), 883-883 , 2024
    2024
    Citations: 3
  • Community economic empowerment for the creation of self-sufficient villages
    RE Standsyah, DS Ramadhan
    Help: Journal of Community Service 1 (2), 148-156 , 2024
    2024
    Citations: 15
  • Management of Poverty Rate with Influence of Stunting in Central Indonesia: A Meta-Analysis
    D Rahmawati, Suyanto, Sukesi, Jajuk
    The Journal of Management Theory and Practice (JMTP) 4 (2), 54-60 , 2024
    2024
  • Regional Financial Management towards Village Development Independency in Indonesia Lacking Regions
    E Haryati, DS Ramadhan, BT Possumah
    Journal of Ecohumanism 3 (3), 357-374 , 2024
    2024
    Citations: 3
  • Empowering the Community of Gang Dolly Surabaya by Improving English Skills in Daily Conversations
    S Suyanto, RE Standsyah, VMTL Tobing
    Society: Jurnal Pengabdian Masyarakat 3 (1), 19-22 , 2024
    2024
  • Systematic literature review: Application of dynamic geometry software to improve mathematical problem-solving skills
    NCP Susanto, SJ Hartati, RE Standsyah
    Mathline: Jurnal Matematika Dan Pendidikan Matematika 8 (3), 857-872 , 2023
    2023
    Citations: 15
  • Meta-Analytic Structural Equation Modeling (MASEM) Dengan Generalized Method Of Moments (GMM)
    RE Standsyah
    Institute Teknologi Sepuluh Nopember , 2023
    2023
  • Estimation of poverty model effect size in Indonesia using meta-analytic structural equation modeling (MASEM)
    RE Standsyah, BW Otok, A Suharsono
    AIP Conference Proceedings 2588 (1), 050019 , 2023
    2023
    Citations: 1
  • Systematic Literature Review: Penggunaan Komik Pada Pembelajaran Bahasa Indonesia
    W Widayanti
    Jurnal Imajeri (Pendidikan Bahasa dan Sastra Indonesia) 5 (2), 116-124 , 2023
    2023
    Citations: 4
  • Analysis of the Allocation of Priorities for the Use of Government Spending in Underdeveloped Regions in Indonesia
    W Budiarti, RE Standsyah, MAA Almughni, DS Ramadhan
    2022
  • Partitional clustering of underdeveloped area infrastructure with unsupervised learning approach: A case study in the Island of Java, Indonesia
    BW Otok, A Suharsono, RES Purhadi, H Al Azies
    Journal of Regional and City Planning 33 (2), 177-96 , 2022
    2022
    Citations: 11
  • Fixed Effect Meta-Analytic Structural Equation Modeling (MASEM) Estimation Using Generalized Method of Moments (GMM)
    RE Standsyah, BW Otok, A Suharsono
    Symmetry 13 (12), 2273 , 2021
    2021
    Citations: 3
  • A meta confirmatory factor analysis of the underdeveloped areas in the Java Island
    BW Otok, A Suharsono, Purhadi, RE Standsyah, HA Azies
    AIP Conference Proceedings 2360 (1), 020002 , 2021
    2021
    Citations: 1
  • Random Effect Meta-Analytic Structural Equation Modeling (MASEM) Estimation Using The Method Of Moment: Case Study On The Poverty In The Island Of Java
    RE Standsyah, BW Otok, A Suharsono
    IOP Conference Series: Materials Science and Engineering 1077 (1), 012052 , 2021
    2021
  • MASEM Infrastructure in Underdeveloped Areas of Java Island
    BW Otok, A Suharsono, SRE Purhadi, H Al Azies
    J Southwest Jiaotong Univ 10 , 2021
    2021
    Citations: 6
  • Development of model poverty in Java using Meta-Analysis Structural Equation Modeling (MASEM)
    BW Otok, RE Standsyah, A Suharsono, Purhadi
    AIP Conference Proceedings 2194 (1), 020078 , 2019
    2019
    Citations: 9
  • Impact of education and health on the unemployment rate and economy of east java
    S Suyanto, B Purnomo, RE Standsyah
    Sinergi: Jurnal Ilmiah Ilmu Manajemen 9 (2), 26-31 , 2019
    2019
    Citations: 8

MOST CITED SCHOLAR PUBLICATIONS

  • Implementasi phpmyadmin pada rancangan sistem pengadministrasian
    R Erma Standsyah, IS Restu NS
    Unisda Journal of Mathematics and Computer 3 (2), 39-44 , 2017
    2017
    Citations: 103
  • Community economic empowerment for the creation of self-sufficient villages
    RE Standsyah, DS Ramadhan
    Help: Journal of Community Service 1 (2), 148-156 , 2024
    2024
    Citations: 15
  • Systematic literature review: Application of dynamic geometry software to improve mathematical problem-solving skills
    NCP Susanto, SJ Hartati, RE Standsyah
    Mathline: Jurnal Matematika Dan Pendidikan Matematika 8 (3), 857-872 , 2023
    2023
    Citations: 15
  • Partitional clustering of underdeveloped area infrastructure with unsupervised learning approach: A case study in the Island of Java, Indonesia
    BW Otok, A Suharsono, RES Purhadi, H Al Azies
    Journal of Regional and City Planning 33 (2), 177-96 , 2022
    2022
    Citations: 11
  • Development of model poverty in Java using Meta-Analysis Structural Equation Modeling (MASEM)
    BW Otok, RE Standsyah, A Suharsono, Purhadi
    AIP Conference Proceedings 2194 (1), 020078 , 2019
    2019
    Citations: 9
  • Impact of education and health on the unemployment rate and economy of east java
    S Suyanto, B Purnomo, RE Standsyah
    Sinergi: Jurnal Ilmiah Ilmu Manajemen 9 (2), 26-31 , 2019
    2019
    Citations: 8
  • MASEM Infrastructure in Underdeveloped Areas of Java Island
    BW Otok, A Suharsono, SRE Purhadi, H Al Azies
    J Southwest Jiaotong Univ 10 , 2021
    2021
    Citations: 6
  • Pengaruh perhatian orang tua dan motivasi belajar terhadap prestasi belajar matematika siswa SMK
    RE Standsyah, E Legowati, I SUGIANTO
    2019
    Citations: 5
  • Systematic Literature Review: Penggunaan Komik Pada Pembelajaran Bahasa Indonesia
    W Widayanti
    Jurnal Imajeri (Pendidikan Bahasa dan Sastra Indonesia) 5 (2), 116-124 , 2023
    2023
    Citations: 4
  • Institutional quality and government expenditure: an empirical study of the environmental Kuznets curve (EKC) in G20 countries
    S Suyanto, MAA Almughni, J Suprijati, RE Standsyah, SS Dwiningwarni
    Economics and Environment 90 (3), 883-883 , 2024
    2024
    Citations: 3
  • Regional Financial Management towards Village Development Independency in Indonesia Lacking Regions
    E Haryati, DS Ramadhan, BT Possumah
    Journal of Ecohumanism 3 (3), 357-374 , 2024
    2024
    Citations: 3
  • Fixed Effect Meta-Analytic Structural Equation Modeling (MASEM) Estimation Using Generalized Method of Moments (GMM)
    RE Standsyah, BW Otok, A Suharsono
    Symmetry 13 (12), 2273 , 2021
    2021
    Citations: 3
  • The Influence of Education on The Depressing of Unemployment and The Increasing of The Society Economy in East Java
    BP Suyanto, RE Standsyah
    ACHITS 2019: Proceedings of the 1st Asian Conference on Humanities, Industry … , 2019
    2019
    Citations: 3
  • Estimation of poverty model effect size in Indonesia using meta-analytic structural equation modeling (MASEM)
    RE Standsyah, BW Otok, A Suharsono
    AIP Conference Proceedings 2588 (1), 050019 , 2023
    2023
    Citations: 1
  • A meta confirmatory factor analysis of the underdeveloped areas in the Java Island
    BW Otok, A Suharsono, Purhadi, RE Standsyah, HA Azies
    AIP Conference Proceedings 2360 (1), 020002 , 2021
    2021
    Citations: 1
  • Implementasi Algoritma Modifikasi Broyden-Fletcher-Goldfarb-Shanno (Mbfgs)
    RE Standsyah
    Jurnal Ilmiah Soulmath: Jurnal Edukasi Pendidikan Matematika 4 (5) , 2017
    2017
    Citations: 1
  • Laporan Kegiatan Pengabdian Masyarakat" Pelatihan Meningkatkan Kemampuan Guru SD Dalam Menyajikan Presentasi Atraktif Melalui Media Microsoft PowerPoint"
    RE Standsyah
    Fakultas Keguruan Dan Ilmu Pendidikan , 2015
    2015
    Citations: 1
  • Perceived Ease Of Use As An Intervening Factor In Students’ Perceptions Of Learning Outcomes When Completing Assignments Via An AI Chatbot
    RE Standsyah, R Sulaiman, DN Yunianti, FH Sentosa, NA Parsa
    Mathline: Jurnal Matematika dan Pendidikan Matematika 10 (4), 929-944 , 2025
    2025
  • Government Expenditure and Human Development in Indonesia
    S Suyanto, J Suprijati, W Budiarti, DS Ramdhan, MAA Almughni, ...
    AKRUAL: Jurnal Akuntansi 17 (1), 31-49 , 2025
    2025
  • Analisis Statistik Chi-Square Terhadap Efektivitas Suplemen Tablet Zat Besi dalam Meningkatkan Kadar Hemoglobin
    D Mustofani, H Hariyani, RE Standsyah
    UJMC (Unisda Journal of Mathematics and Computer Science) 11 (1), 47-52 , 2025
    2025