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All Journal Jurnal Ilmu Komputer Jurnal Ekonomi Kuantitatif Terapan Statistika Epsilon: Jurnal Matematika Murni dan Terapan CAUCHY: Jurnal Matematika Murni dan Aplikasi Bulletin of Electrical Engineering and Informatics Jurnal Sosioteknologi Jurnal Administrasi Kesehatan Indonesia Jurnal Akuntansi dan Perpajakan UNEJ e-Proceeding KEUNIS Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Indonesian Journal of Applied Statistics International Humanities and Applied Science Journal Journal of Regional and Rural Development Planning MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Sosio e-kons Zero : Jurnal Sains, Matematika, dan Terapan KEUDA : JURNAL KAJIAN EKONOMI DAN KEUANGAN DAERAH Jurnal TAMBORA Journal Of Management Science (JMAS) ECOPLAN : JOURNAL OF ECONOMICS AND DEVELOPMENT STUDIES Jurnal Mantik Journal of Business and Applied Management TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Ilmiah Dinamika Sosial Bappenas Working Papers Jurnal Sosial Humaniora Sigli Jurnal Ekonomi Dan Bisnis Jurnal Educatio FKIP UNMA Jurnal Sistem Komputer & Kecerdasan Buatan Aksara: Jurnal Ilmu Pendidikan Nonformal PUBLIKASI PENELITIAN TERAPAN DAN KEBIJAKAN Alifmatika: Jurnal Pendidikan dan Pembelajaran Matematika Udayana Journal of Social Sciences and Humanities (UJoSSH) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Statistika dan Aplikasinya EPSILON Jurnal Pendidikan Matematika Jurnal Teknik Informatika (JUTIF) Jurnal Manajemen Publik dan Kebijakan Publik (JMPKP) Lombok Journal of Science Infinity Jurnal Matematika dan Aplikasinya (IJMA) Scientax: Jurnal Kajian Ilmiah Perpajakan Indonesia Jurnal Litbang Edusaintech Berdikari : Jurnal Ekonomi dan Statistik Indonesia Educoretax Journal of Law, Administration, and Social Science Jurnal Ilmu Ekonomi dan Sosial (JIES) Nusantara Journal of Behavioral and Social Science Jurnal Multidisiplin Madani (MUDIMA) Soshum: Jurnal Sosial dan Humaniora Jurnal Akuntansi dan Keuangan Indonesia Jurnalku Jurnal Manajemen dan Pemasaran Jasa Bandung Conference Series: Mathematics Khatulistiwa: Jurnal Pendidikan dan Sosial Humaniora Indonesia Auditing Research Journal Priviet Social Sciences Journal Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Jurnal Ilmiah Kesehatan Pernus Buletin Ilmiah Litbang Perdagangan Advance Sustainable Science, Engineering and Technology (ASSET) Hasina: Jurnal Akuntansi dan Bisnis Syariah RAGAM: Journal of Statistics and Its Application
Pardomuan Robinson Sihombing
BPS-Statistics Indonesia
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EKONOMI YANG INKLUSIF DAN BERKELANJUTAN: ANALISIS KEUANGAN DAERAH, KEMISKINAN, DAN TEKNOLOGI UNTUK MEWUJUDKAN SDGS 2030 Herman, Nur Ashilah Raihanah; Muchtar, Masruri; Sihombing, Pardomuan Robinson
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 4 No. 2 (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.v4i2.83

Abstract

The Sustainable Development Goals (SDGs) emerged as a universal commitment to address social issues, prioritize inclusive economic growth, and reduce inequality. Regional governments are the main pillar in achieving the 2030 SDGs in addition to other factors, namely GDP per capita and economic inclusivity by emphasizing regional equity and increasing local independence. This study analyzes the impact of regional finance, poverty, and technology on economic growth in order to realize an inclusive and sustainable economy. The data is sourced from the Central Statistics Agency and the Directorate General of Financial Balance for 2020-2022 which covers all provinces in Indonesia. Using a fixed effect model, the test results found that local income, profit-sharing funds, and technology had a positive impact on per capita economic growth, but poverty showed a negative influence. The implications of these findings show the need for a comprehensive study related to the implementation of fiscal decentralization and technology investment so that it can achieve the 8th goal of the 2030 SDGs
Ekonomi Yang Inklusif Dan Berkelanjutan: Analisis Keuangan Daerah, Kemiskinan, Dan Teknologi Untuk Mewujudkan SDGS 2030 Herman, Nur Ashilah Raihanah; Muchtar, Masruri; Sihombing, Pardomuan Robinson
KEUDA (Jurnal Kajian Ekonomi dan Keuangan Daerah) Vol 9 No 2 (2024)
Publisher : Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52062/keuda.v9i2.4051

Abstract

Sustainable Development Goals (SDGs) emerge as a universal commitment to address social issues, prioritize inclusive economic growth, and reduce inequality. Local governments become the main pillar in achieving the 2030 SDGs, alongside other factors such as GDP per capita and economic inclusivity by emphasizing regional equity and enhancing local self-reliance. This research analyzes the impact of regional finances, poverty, and technology on economic growth to achieve an inclusive and sustainable economy. The data is sourced from the Central Bureau of Statistics and the Directorate General of Fiscal Balance for the years 2020-2022, covering all provinces in Indonesia. Using panel data regression (fixed effect model), the test results find that local revenue, revenue-sharing funds, and technology positively impact per capita economic growth, while poverty shows a negative influence. The implications of these findings highlight the need for a comprehensive study related to the implementation of fiscal decentralization and technology investment to achieve the 8th goal of the 2030 SDGs.
Does the Special Allocation Fund Reduce Rural Poverty? Sinarwati, Ni Kadek; Sihombing, Pardomuan Robinson
Journal of Regional and Rural Development Planning (Jurnal Perencanaan Pembangunan Wilayah dan Perdesaan) Vol. 8 No. 3 (2024): Journal of Regional and Rural Development Planning (Jurnal Perencanaan Pembangu
Publisher : P4W IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jp2wd.2024.8.3.172-182

Abstract

This study aims to analyze the effect of special allocation funds for thematic poverty reduction assignments in the fields of water, sanitation, and the field of settlement and housing on poverty in rural areas. The data collected by secondary data is number of poor people in rural areas is accessed through the BPS website, and special allocation funds for thematic poverty reduction assignments in the fields of water, sanitation, and settlement and housing are collected by accessing the Simtrada website (Information System Transfer to Regions and Village Funds) https://djpk.kemenkeu.go.id//simtrada/. The population of 34 provinces and the sample of 25 provinces in Indonesia that experienced a decrease in rural poverty were analyzed in this research. The data were analyzed by multiple regression analysis techniques. The results showed that special allocation funds for thematic poverty reduction assignments in the water sectors, and in the field of sanitation sector, did not significantly affect poverty reduction, (sig p-value 0.461>0.05 and sig p-value 0.751 > 0.05 respectively). The value of special allocation funds for thematic poverty reduction assignments in the field of the housing sector had a significant effect on reducing rural poverty (sig p-value (0.007< 0.05). This study recommends that poverty reduction funds in rural areas, especially in the field of housing, continue to be distributed and managed appropriately, so that poverty in rural areas is alleviated.
VAR ANALYSIS: ASSOCIATION BETWEEN NON-PERFORMING LOAN, HOUSING PRICE, ECONOMIC INDICATORS, AND MORTGAGE Gultom, Yulifar Amin; Muchtar, Masruri; Sihombing, Pardomuan Robinson
Jurnal Akuntansi dan Keuangan Indonesia Vol. 22, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background: The economic crisis from 2008 to 2009 was due to the collapse of the housing price bubble, which increased the default rate or non-performing loans of mortgages. Much research on non-performing loans compared to property price and economic indicators has been done in other countries, but not in Indonesia. This research is modified to suit the housing market in Indonesia, aiming to investigate causality relationships between non-performing loans, residential property price index, gross domestic product, mortgages, and credit interest rates. It also analyzes the impulse response function and variance decomposition of each variable, focusing on non-performing loans to show the effect of shocks from other variables. Methods: The study uses a vector autoregression model. Findings: The result shows that there are causality relationships between non-performing loans, residential property price index, gross domestic product, mortgages, and credit interest rates. Furthermore, compared to the normal period, in a crisis period, no specific trend is found from the decomposition of all variables to the non-performing loans. Conclusion: This research also shows that monetary and fiscal policies from the government can affect non-performing loans and mortgages. The increase in house prices by the property firm must be applied carefully to avoid a negative effect on the economy. Novelty/Originality of this article: This research is specifically adapted to the housing market in Indonesia, addressing a gap in previous studies. It also provides detailed analysis of impulse response function and variance decomposition focused on non-performing loans.
Choosing the Right Tool: Practical Considerations for GLMM and GEE in Longitudinal Studies, with a Focus on Data Challenges Sihombing, Pardomuan Robinson; Erfiani, Erfiani; Notodiputro, Khairil Anwar; Kurnia, Anang
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 1 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i1.24602

Abstract

The proposed research systematically reviews the comparative issues between GLMM and GEE for longitudinal data. The review discusses the competing arguments regarding the practical strengths and weaknesses of the two arrests. Empirical evidence demonstrates that GLMM generally provides subject-specific estimates and performs better than GEE in hierarchical and individual variance. In contrast, GEE provides resilient population-level findings, which are crucial for policy. The choice of method depends on the data structure and scope of inference. GLMM is consistently better when characterizing individuals, for example, in studies where we assume random effects are drawn from a complex distribution. GEEs shine most brightly in large datasets, obtaining robust population-level estimates even when the working correlation is misspecified. Finally, the results provide hands-on recommendations for researchers from various domains who apply statistical models to longitudinal studies to select solid, context-fitting statistical models for long-term studies.
Komparasi Pemodelan Logit, Probit dan Clog-Log Pada Regresi Beta: Studi Kasus: Pengaruh IPG dan IDG Terhadap IKG di Indonesia Tahun 2020 Suryadiningrat; Sihombing, Pardomuan Robinson
Nusantara Journal of Behavioral and Social Science Vol. 1 No. 4 (2022)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/202215

Abstract

Penelitian ini bertujuan membandingkan pemodelan Indeks Ketimpangan Gender (IKG) menggunakan regresi beta dengan link function logit, probit dan clog-log. Adapun variabel independen yang digunakan adalah Indeks Pembangunan Gender (IPG) dan Indeks Pemberdayaan Gender (IDG). Data bersumber dari Badan Pusat Statistik. Ketiga pemodelan menberikan hasil yang sama baik untuk uji simultan dan parsial dalam pemodelan kasus pemodelan IKG. Model clog-log memberikan hasil terbaik dengan kriteria nilai error terkecil (AIC dan BIC) serta nilai koefisien determinasi terbesar. IPG berpengaruh signifikan negatif terhadap IKG sedangkan IDG belum berpengaruh signifikan negatif terhadap IKG. Berdasarkan hasil ini diharapkan para pemangku kebijakan dapat memberikan kebijakan yang komprehensif dan tepat sasaran dalam mengurangi ketimpangan gender di Indonesia
Comparative Performance of GLMM and GEE for Longitudinal Beta Regression in Economic Inequality Modelling Sihombing, Pardomuan Robinson; Erfiani; Khairil Anwar Notodiputro; Anang Kurnia
Advance Sustainable Science Engineering and Technology Vol. 7 No. 3 (2025): May - July
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v7i3.2057

Abstract

Due to the shortcomings of conventional Gaussian methods, specialized models are frequently needed for longitudinal data analysis with bounded outcomes, such as the Gini ratio. In order to model economic inequality in Indonesia, this study compares the effectiveness of Generalized Linear Mixed Models (GLMM) and Generalized Estimating Equations (GEE) for beta-distributed longitudinal data. Root Mean Square Error (RMSE) and pseudo R-squared values are used to assess model performance using panel data from 10 provinces between 2018 and 2024 as well as important socioeconomic indicators. With lower RMSE and higher explanatory power across all provincial subsets, the results consistently demonstrate that GLMM performs better than both GEE and generalized linear models (GLM). ANOVA tests verify that modeling methodologies, not data heterogeneity in GRDP or Gini values, are responsible for the differences in model performance. These results demonstrate how well GLMM handles complex data structures and within-subject correlations, providing more accurate and effective estimates in longitudinal beta regression scenarios. The study encourages the use of GLMM for more precise longitudinal analysis in economic and social research and offers insightful information for researchers modeling inequality indices.
Bibliometric Mapping and Trend Analysis of Beta Regression Modeling: A Decade of Development (2015–2024) Sihombing, Pardomuan Robinson; Erfiani, Erfiani; Notodiputro, Khairil Anwar; Kurnia, Anang
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 3 (2025): Article Research July 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i3.14949

Abstract

Beta regression is a statistical model designed to handle dependent variables that assume values within the open interval (0, 1), such as rates, proportions, or percentages. The study aimed to determine the development of beta regression over the last 10 years with a bibliometric approach. The source of the article database used comes from the Scopus website. The tool used for analysis is R software with a bibliometrix package. The results of this study show that there are 293 articles published in the Scopus Journal. Research develops in various research fields. The author with the most articles is Cribari-Neto, F., with the most significant number of documents, i.e., 12. According to the author's country of origin related to the beta regression method, Brazil has the most countries, while Indonesia is in 12th place. Therefore, research on beta regression still has excellent potential to continue to be developed.
Bagaimana Pengaruh IPM, Pertumbuhan Ekonomi Perkapita dan Kemiskinan terhadap Pembangunan Kebudayaan di Indonesia? Sihombing, Pardomuan Robinson; Arsani, Ade Marsinta; Mun'im, Akhmad; Yunita, Y
Nusantara Journal of Behavioral and Social Science Vol. 1 No. 3 (2022)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/202214

Abstract

Penelitian ini bertujuan melihat bagaimana pengaruh Indeks Pembangun Manusia (IPM), Pertumbuhan Ekonomi Perkapita dan Persentase Penduduk Miskin terhadap Indeks Pembangunan Kebudayaan (IPK). Data bersumber dari Kementerian Pendidikan, Kebudayaan, Riset dan Teknologi serta Badan Pusat Statistik periode 2018-2020. Adapun metode statistik yang digunakan yaitu regresi dengan data panel. Model fixed efek diperoleh sebagai model terbaik berdasarkan pengujian model panel (Chow, LM BP, dan Hausman). Namum, masih terdapat pelanggaran terhadap asumsi klasik heterokedastis dan autokorelasi sehingga model ditranformasi dengan Panel Correction Standar Error. Hasil yang diperoleh bahwa seluruh variabel independen berpengaruh bersama-sama secara signifikan terhadap Indeks Pembangunan Kebudayaan. Secara parsial variabel Indeks Pembangun Manusia dan Pertumbuhan Ekonomi Perkapita berpengaruh signifikan positif terhadap Indeks Pembangunan Kebudayaan. Sedangkan, Persentase Penduduk Miskin belum berpengaruh signifikan terhadap Indeks Pembangunan Kebudayaan. Berdasarkan hasil penelitian ini, diperlukan kebijakan komprehensif terkait ekonomi makro-sosial agar tingkat pembangunan kebudayaan Indonesia terus berkembang.
The effect of the knowledge index on the community literacy development index and the level of reading interest: A case study in West Java in 2024 Sihombing, Pardomuan Robinson; Arsani, Ade Marsinta; Huda, Miftahul; Ahmaddien, Iskandar; Aji, Lexi Jalu
Priviet Social Sciences Journal Vol. 5 No. 10 (2025): October 2025
Publisher : Privietlab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55942/pssj.v5i10.750

Abstract

This study examines the reciprocal relationships between the Knowledge Index (KI), the Community Literacy Development Index (CLDI), and the Level of Reading Interest (LRI) across 27 districts/cities in West Java (2024). Using a quantitative design with Partial Least Squares–Structural Equation Modeling and a conditional process perspective, we test direct and feedback effects among the three constructs. Descriptive statistics indicate substantial variation in literacy development and reading interest across regions. Model fit indices exceed conventional thresholds, supporting the adequacy of the specified structure. The results show that KI has a significant positive effect on both CLDI and LRI, indicating that accumulated schooling and knowledge capital translate into stronger literacy ecosystems and more active reading behaviors. Conversely, both CLDI and LRI exert significant positive effects on KI, evidencing a reinforcing cycle in which richer literacy environments and higher reading engagement further elevate knowledge attainment. These findings highlight a virtuous, bidirectional dynamic: knowledge deepens literacy and reading, while literacy investment and reading practice amplify knowledge. Policy implications include prioritizing integrated literacy programs across the life course, leveraging digital access, and coordinating libraries, schools, and local governments to simultaneously lift ecosystem quality and individual reading practices. The study provides actionable evidence for place-based literacy policy and human capital formation in emerging regions.
Co-Authors Abdul Gofur Rochman Ade Famalika Ade Famalika Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Ade Marsinta Arsani Adina Astasia Ahid Nur Istinah Ahmaddien, Iskandar Aji, Lexi Jalu Al Aqilah, Muhamad Refkhi Amin Prawiro Madhani Anang Kurnia Anita, Tiurida Lily Arsani, Ade Marsinta Artha Satwika Astawa, I Gede Putu Banu Avior Ocean Noya Bagus Sartono Bekti Endar Susilowati Bekti Endar Susilowati Bekti Endar Susilowati Bertho Tantular Bungkus Sasongko Purnomo Bungkus Sasongko Purnomo Busminoloan Busminoloan Cahya Alkahfi Daqiqil Id, Ibnu Deden Achmad Sunarjo Desak Ari Gita Wahyuni Deva A. Nurul Huda Devitama Patria Nagara Dhinnessa Prabowo Drajat Indra Purnama DRAJAT INDRA PURNAMA Dwi Muslianti Dyah Purwanti Ekowati Retnaningsih Erfiani Erfiani Erfiani Erfiani, Erfiani Erica Indryani Fadlol Muhammad Fajar Faiza Aina Nurrizqi Feri Fernandes Fitri Mudia Sari Frisca Adriana Gregorius Ivan Aditya Purwahendra Gultom, Yulifar Amin Gunawan, Ghina Hanifa HAMIDAH Hastoro Dwinantoaji Hema Malini, Hema Hendiva Tri Nugraha Hendry Frananda, Hendry Herman, Nur Ashilah Raihanah I Dewa Gede Sunanjaya I Gede Heprin Prayasta I Gede Heprin Prayasta Ida Ayu Candrawati Ida Ayu Candrawati Iis Hayyun Nurul Islam Ine Ratna Dewi Irma Nurmala Dewi Istiqomatul Fajriyah Yuliati Istiqomatul Fajriyah Yuliati Jaka Wijaya Kusuma Januar Ramadhan Karel Fauzan Hakim Kartika Maulidya Irzain Khairil Anwar Notodiputro Krisdianto, Boby Febri Kuat Sidik Wahyono Kurnia, Anang Leni Merdawati Lina Sari Lisna Sari Lisna Sari Luh Putu Widya Adnyani Mahuda, Isnaini Marta Sundari Marta Sundari Maryani, Sri Masruri Mochtar Maydita Ayu Nursaskiawati Mella Anisa Miftahul Huda Miftakhul Jannah Mohamad Arif Kurniawan Mohamad Arif Kurniawan Muchtar, Masruri Muhammad Hafiz Fadhilah Muhammad Heru Akhmadi Muhammad Ramadhan Zulfi Muliantino, Mulyanti Roberto Mun'im, Akhmad Neni Nur Laili Ersela Zain Ng, Kah Choon Ni Kadek Sinarwati Novitha, Irni Nurhidayati Nurhidayati Nurhidayati Nurhidayati Nuryanto Nuryanto Oki Prasetia Hendarsin Padhilah Dikri Pascal, Emilio Pradita Galih Sekar Palupi Puput Puspito Rini Putri Indi Rahayu Putu Pande Wahyu Diatmika Rahayu, Putri Indi Rahmi Lathifah Islami Rama Bhaskara Praja Ramadhisa Fadli, Diva Aisyaliani Rini Rahani Risqi Nurika Fatha Hidayati Saeful Hidayat Sarah Sholikhatun Risma Septie Wulandary Sigit Budiantono Sigit Budiantono Sigit Budiantono Sigit Budiantono Sigit Budiantono Sinarta Putra P. Surbakti Sodiqin, Achmad Sri Murdaningrum Stephanus, Matthew Supriatna, Yayat Suryadiningrat Suryadiningrat Suryadiningrat Taufik Febriyanto Temy Setiawan, Temy Triana Mauliasih Aritonang Triana Mauliasih Aritonang Ulfa Anggraini Usep Nugraha Wahyu Puji Lestari Widdia Angraini Wijaya, Lianna Wiradinata Lambok Silaban Wiranegara, Hanny Wahidin Wisnu Pratiko Y Yunita Yanti, Ni Komang Semara Yesi, Desri Yoshep Paulus Apri Caraka Yuda Yudhie Andriyana Yuninda Anggraini Putri Yunita Yunita Yunita Zain Yudha Prawira Zakir, Supratman