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Pardomuan Robinson Sihombing
BPS-Statistics Indonesia
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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.
POVERTY LEVELS MUST BE REDUCED TO IMPROVE ACCESSIBILITY TO HEALTH SERVICES Yesi, Desri; Retnaningsih, Ekowati; Sihombing, Pardomuan Robinson; Nuryanto, Nuryanto; Novitha, Irni
Indonesian Journal of Health Administration (Jurnal Administrasi Kesehatan Indonesia) Vol. 12 No. 2 (2024): December
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jaki.v12i2.2024.189-197

Abstract

Background: Access to health services is a fundamental right for every citizen, but its equitable distribution remains challenging due to the influence of several variables. Indonesia has achieved Universal Health Coverage (UHC), but access to health services for those with health problems is still low. Aims: This study aims to determine the variables influencing access to health services in Indonesia. Methods: Longitudinal analysis of panel data was used, and the dataset was taken from the 34 provinces of Indonesia from 2018 to 2022. The data obtained were then analyzed descriptively and analytically by linear regression using STATA software. Results: Individual and family variables influencing access to health services for the population with health problems included variable need (health problem), ownership of health insurance, and ability to pay. Furthermore, the results showed that the number of areas with high poverty rates (socioeconomic) was a contextual factor with a higher level of influence. Conclusion: Based on the results, policies to improve access to health services, a basic human right, could not be solely achieved by the health sector. Therefore, integrated comprehensive planning collaboration of Penta-Helical elements was needed to reduce poverty enclaves. Keywords: ability to pay, access to health services, health insurance, poverty
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.
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 Ade Marsinta Arsani Adina Astasia Ahid Nur Istinah Ahmaddien, Iskandar Aji, Lexi Jalu Al Aqilah, Muhamad Refkhi Amin Prawiro Madhani Anang Kurnia Anindita Ramadhani Anita, Tiurida Lily Arhaninka, Dewi Arsani, Ade Marsinta Artha Satwika Astawa, I Gede Putu Banu Avior Ocean Noya Bagus Sartono Basmallah, Fikri Dias Bayu Adinugroho Bekti Endar Susilowati Bekti Endar Susilowati Bekti Endar Susilowati Bertho Tantular Budiantono, Sigit Bungkus Sasongko Purnomo Bungkus Sasongko Purnomo Busminoloan Busminoloan Busminoloan Busminoloan Cahya Alkahfi Daniel Pangaribuan 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 Dyah Purwanti Ekowati Retnaningsih Erfiani Erfiani 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 Gumilang, Gabiela Gunawan, Ghina Hanifa HAMIDAH Hastoro Dwinantoaji Hema Malini, Hema Hendiva Tri Nugraha Hendry Frananda, Hendry Herman, Nur Ashilah Raihanah Hertanto, Rus 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 Iskandar Ahmaddien Islami, Rahmi Lathifah Istiqomatul Fajriyah Yuliati Istiqomatul Fajriyah Yuliati Jaka Wijaya Kusuma Januar Ramadhan Karel Fauzan Hakim Kartika Maulidya Irzain Khairil Anwar Notodiputro Khairil Anwar Notodiputro Khalimi Khalimi, Khalimi Krisdianto, Boby Febri Kuat Sidik Wahyono Kurnia, Anang Leni Merdawati Lexi Jalu Aji Lina Sari Lisna Sari Lisna Sari Luh Putu Widya Adnyani Maharani, Arya Putri Mahuda, Isnaini Maisaroh Maisaroh Marselinus Nirwan Luru Marta Sundari Marta Sundari Martina Cecilia Adriana Maryani, Sri Masruri Mochtar Maulidiyah, Syafrina Maydita Ayu Nursaskiawati Mella Anisa Miftahul Huda 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 Nurhidayati Nurhidayati Nurul Islam, Iis Hayyun Nuryanto Nuryanto Octaviana, Aniek Oki Prasetia Hendarsin Olivia, Theresia Padhilah Dikri Pangaribuan, Daniel Pascal, Emilio Pradita Galih Sekar Palupi Pudjiono, Bjardianto Puput Puspito Rini Putri Indi Rahayu Putri, Ayudya Purwani Putu Pande Wahyu Diatmika Putu Widya Adnyani, Luh Rahayu, Putri Indi Rahmi Lathifah Islami Rama Bhaskara Praja Ramadhanti, Ajeng Taufina Ramadhisa Fadli, Diva Aisyaliani Rini Rahani Risqi Nurika Fatha Hidayati Saeful Hidayat Sagala, Eliza Clara Yeremia Sarah Sholikhatun Risma Septie Wulandary Setiawan, Prayoga Sigit Budiantono Sigit Budiantono Sigit Budiantono Sigit Budiantono Sigit Budiantono Simanjuntak, Johana Veronika Simbolon, Zefanya Grace Enos Sinarta Putra P. Surbakti Sitorus, Yosef Felix Sodiqin, Achmad Sri Murdaningrum Sri Murtiningsih Stephanus, Matthew Sukarsa, Galuh Prabaningrum Ayu Sundari, Marta Supriatna, Yayat Suryadiningrat Suryadiningrat Suryadiningrat SYAMSUL HIDAYAT Taufik Febriyanto Temy Setiawan, Temy Triana Mauliasih Aritonang Triana Mauliasih Aritonang Ulfa Anggraini Usep Nugraha Usep Nugraha Wahyu Puji Lestari Widdia Angraini Widdia Angraini Wijaya, Lianna Wiradinata Lambok Silaban Wiranegara, Hanny Wahidin Wisely Yahya Wisnu Pratiko 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