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All Journal Jurnal TAMBORA Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Berdikari : Jurnal Ekonomi dan Statistik Indonesia Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Jurnal Pendidikan dan Sosial Humaniora
Ade Marsinta Arsani
BPS-Statistics Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Mathematics

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IMPLEMENTASI MODEL SEM PADA HUBUNGAN IPM, IPD DAN IDM Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Widdia Angraini; Wisnu Pratiko
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 2 No. 2 (2022): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v2i2.33

Abstract

This study aims to determine the influence of the Human Development Index (HDI), poverty and village funds on Village Development approached with the Village Development Index (IPD) and the Building Village Index (IDM). The data used is published data from the Ministry of Villages PDTT and the Central Statistics Agency in 2018. The analysis model used is the Structural Equation Model (SEM) model. The results of the village fund hypothesis test have not had a direct effect on IPD and have not had an indirect effect on IDM. The poverty rate has a significant negative effect directly on IPD and indirectly affects IDM, as well as HDI has a significant positive effect on IPD and indirectly affects IDM. IPD has a significant positive effect directly on IDM. A comprehensive and targeted policy is needed so that village development can take place in a sustainable manner. In addition, supervision is needed related to the use of village funds so that they are right on target in developing villages
IMPLEMENTASI MODEL PANEL VAR PADA HUBUNGAN INFLASI DAN PERTUMBUHAN JUMLAH UANG BEREDAR: Studi Kasus 6 Negara ASEAN Tahun 1994-2020 Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Artha Satwika; Abdul Gofur Rochman
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 2 No. 2 (2022): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v2i2.34

Abstract

This study aims to determine the causality relationship between the growth of the money supply (JUB) and inflation. The data used is panel data from 6 ASEAN countries in the 2009-2020 period. The analysis used is the Panel Vector Auto Regression (PVAR) model. The results showed a two-way causality relationship between the inflation rate and the growth of the money supply. The increase in inflation will reduce the growth of the money supply. Conversely an increase in the money supply will increase inflation. The government should keep these two macro variables balanced through existing fiscal and monetary instruments, for example with interest rate policy and price control, especially related to the price of staples and fuel
IMPLEMENTATION OF SEM-PLS MODELING ON THE IMPACT OF THE REGIONAL COMPETITIVENESS INDEX ON SOCIOECONOMIC MACRO VARIABLES Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Dyah Purwanti; Sigit Budiantono
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 1 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i1.250

Abstract

The Regional Competitiveness Index (RCI) is one of the essential indicators to measure the ability of a region to compete with other regions in the economic, social, and environmental fields. Increasing regional competitiveness is one of the goals desired by every local government to encourage economic growth and community welfare. This study aims of the research to find out the relationship between the Regional Competitiveness Index (RCI) and socioeconomic macroeconomic variables such as the growth of Gross Regional Domestik Bruto (GRDP), Human Development Index (HDI), Foreign Investment, Domestic Investment, Regional Income and poverty rates in Indonesia in 2022 in Indonesia. The data used are publication data from the National Innovation Research Agency (BRIN) and the Statistic Indonesia (BPS) in 2022. The analysis model used is the PLS Structural Equation Model (SEM) model with SmartPLS software. The results showed that RCI significantly positively affected HDI, GRDP growth, Domestic Investment, Foreign Investment, and Regional Income. On the other hand, RCI significantly negatively affects the percentage of poor people. A comprehensive and targeted policy is needed so that the Regional Saiang Power Index continues to increase. In addition, supervision is needed related to programs that have been running related to regional competitiveness
ALTERNATIVE MODELS IN OVERCOMING THE PROBLEM OF OVERDISPERSION IN POISSON REGRESSION Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Ni Komang Semara Yanti; Putu Pande Wahyu Diatmika
Jurnal TAMBORA Vol. 7 No. 2 (2023): EDISI 19
Publisher : Wakil Rektor 3, Direktorat Riset, Publikasi dan Inovasi, Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36761/jt.v7i2.2773

Abstract

This study aims to compare various alternative models in overcoming the problem of overdispersion in Poisson regression modeling. The comparative modeling is the Generalized Poisson model, Negative Binomial, and Generalized Negative Binomial. Modeling is applied to modeling the number of poor people in Central Java in 2021 with unemployment, HDI, and GRDP as independent variables. The results obtained by Generalized Poison are better than Negative Binomial and Generalized Negative Binomial because of the smaller AIC and BIC values ??and the larger R2. For simultaneous tests, it can be concluded that unemployment, HDI, and GRDP significantly affect the number of poor people. Only unemployment and HDI variables partially affect the number of poor people in Central Java. On the other hand, there is not enough evidence that GRDP affects some poor people. There is a need for comprehensive and relevant policies to overcome the number of poor people in an area.
Comparison of Regression Analysis with Machine Learning Supervised Predictive Model Techniques Pardomuan Robinson Sihombing; Sigit Budiantono; Ade Marsinta Arsani; Triana Mauliasih Aritonang; Mohamad Arif Kurniawan
Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 2 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jesi.03.02.03

Abstract

The happiness index is a parameter used to measure the level of happiness and well-being of people in a particular country or region. This research aims to determine the factors that contribute to people's happiness. In terms of modelling, this study will compare several regressions modelling using machine learning, including regression trees, random forests and Support Vector Regression (SVR). The SVR model has a minor error value in terms of MSE, RMSE and MAE compared to the other three models. The same thing happened when viewed from the value of R2 that the SVR model has an enormous value. This result indicates that SVR modelling is the best of the four models. A comprehensive policy is needed to increase a country's happiness index.
Application of Panel Regression Model in Gender Studies in East Java Pardomuan Robinson Sihombing; Ade Marsinta Arsani; I Gede Heprin Prayasta; Ida Ayu Candrawati
Jurnal Ekonomi Dan Statistik Indonesia Vol 3 No 2 (2023): Berdikari: Jurnal Ekonomi dan Statistik Indonesia (JESI)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/jesi.03.02.04

Abstract

Gender inequality remains one of the exciting issues to discuss. The role of women in social and economic continues to increase from year to year. This study aims to see the effect of the Gender Empowerment Index (GEI), Gender Development Index (GDI), and poverty rate on the Gender Inequality Index (GII) in East Java. Data sourced from the BPS-Statistics Indonesia of East Java Province for the 2018-2020 period. The statistical method used was multiple linear regression with panel data. Based on panel model testing, the random model is the best. Simultaneously, all variables affect the GII. Partially, GEI and GDI have a significant negative effect on GII. On the other hand, the percentage of poor people has a significant positive effect on GII. Based on the results of this study, comprehensive policies related to macro-social economics are needed so that the level of GII continues to decline.
Changing in National Infrastructure Policy: How It Affect Indonesia’s Economy? Case Study of Indonesia 2010 and 2016 IO Table and 2016 IRIO Table Ade Marsinta Arsani; Chaoqing Huang
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2021 No. 1 (2021): Proceedings of 2021 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2021i1.44

Abstract

This research would like to firstly figure out how new infrastructure policy affects national economic structure changes, and secondly figure out does the new policy effect on inter-regional economy linkage. This study uses economic structure, growth decomposition, location quotient, and linkage analysis on Input-output table to indicate national and inter-regional level economic changes between 2010 and 2016 in Indonesia. We find that economic structure generally remains the same, only transportation and real estate sector increased their contribution, this may indicate the beginning of infrastructure development stage. During 2010 to 2016, the growth was led by the expansion of domestic demand in almost all sectors, however in some sectors the technological changes have a negative contribution. Furthermore, the two most linked sectors are manufacturing and electricity sectors. Inter-regional analysis indicated that Java and Sumatera have more power and sensitivity level compared to other regions. The suggestion to booster economy development is to implement technological process and publish policy considering regional characteristics may accelerate economic equity across regions.
APLIKASI KURVA PERTUMBUHAN LATEN PADA DATA INDEKS PEMBANGUNAN GENDER DI JAWA TIMUR Pardomuan Robinson Sihombing; Ade Marsinta Arsani; I Gede Heprin Prayasta; Ida Ayu Candrawati; Nurhidayati Nurhidayati; Sigit Budiantono
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 4 No. 1 (2024): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v4i1.75

Abstract

In the context of human development, gender equality is considered an important basic dimension, and one way to measure it is with the achievement of the Gender Development Index (GDI). East Java is one of the provinces in Indonesia whose GDI value consistently increases from year to year. This study aims to model GDI growth with latent growth models. The data used was sourced from the Statistics Indonesia of East Java with the research unit of regency in East Java in the 2017-2021 period. The results obtained were sustainable GDI growth in East Java City District. Modelling in latent growth curve method showed that the variation in growth was explained by 99 percent over the 5-year study period. Implementation in this study requires comprehensive and targeted efforts from policy makers in maintaining and increasing IPG growth in East Java
Komparasi Performa Fuzzy C-Means dan Random Forest (Studi Kasus: Indeks Modal Sosial Indonesia) Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Wisnu Pratiko; Sri Murtiningsih
Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Vol. 3 No. 1 (2023): Maret : Jurnal Pendidikan dan Sosial Humaniora
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/khatulistiwa.v3i1.982

Abstract

Penelitian ini bertujuan menguji performa metode Fuzzy C-Means Klaster dengan Random Forest Clustering. Data yang digunakan data dimensi Indeks Modal Sosial di 34 Provinsi di Indonesia tahun 2021. Indeks mdoal social terdiri atas tiga dimensi yaitu dimensi Rasa Percaya, Partisipasi Sosial dan Toleransi. Data bersumber dari Badan Pusat Statistik (BPS). Banyaknya klaster optimum yang disarankan dengan menggunakan teknik metode Elbow adalah sebanyak 3 klaster. Dengan memperhatikan nilai Silouhette dan R square terbesar metode random forest lebih baiknya daripada Fuzzi C-Means. Hal senada jika dilihat berdasarkan kriteria nilai AIC dan BIC yang lebih kecil model random forest lebih baik daripada fuzzy c-means. Klaster 3 merupakan klaster dengan nilai dimensi terbaik dimana nilainya semuanya di positif atau di atas rata-rata. Di sisi lain klaster 1 merupakan provinsi dengan nilai dimensi terburuk karena semua nilai dimensinya negative, di bawah rata-rata data. Dibutuhkan kebijakan yang komprehensif dan tepat sasaran sehingga indeks modal social di Indonesia dapat merata dan meningkat setiap tahunnya.
Apakah Fungsi Belanja APBD Dan Dana Desa Mempengaruhi Indeks Pembangun Ekonomi Inklusif di Indonesia? Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Dyah Purwanti
Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Vol. 3 No. 1 (2023): Maret : Jurnal Pendidikan dan Sosial Humaniora
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/khatulistiwa.v3i1.1036

Abstract

This study aims to examine the effect of the function of Regional Government Budget expenditure and village funds on the Inclusive Economic Development Index (IEDI) in Indonesia. The spending approach uses the income variables of Health Function, Education Function, Social Protection Function and Village Fund. The data is sourced from Bappenas and the Statistics Indonesia for the period 2018-2021. The statistical method used is multiple linear regression with panel data. Based on panel model testing, Fixed model is the best model. Simultaneously all variables affect IPEI. Partially, the Health Function, Education Function, Social Protection Function and Village Fund have a significant positive effect on IEDI. Based on the results of this study, a comprehensive policy related to macro-social economy is needed so that Indonesia's IEDI level continues to increase.
Co-Authors Abdul Gofur Rochman Artha Satwika Chaoqing Huang Dyah Purwanti I Gede Heprin Prayasta I Gede Heprin Prayasta Ida Ayu Candrawati Ida Ayu Candrawati Mohamad Arif Kurniawan Nurhidayati Nurhidayati Pardomuan Robinson Sihombing Putu Pande Wahyu Diatmika Sigit Budiantono Sigit Budiantono Sigit Budiantono Sri Murtiningsih Triana Mauliasih Aritonang Widdia Angraini Wisnu Pratiko Yanti, Ni Komang Semara