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Pardomuan Robinson Sihombing
BPS-Statistics Indonesia
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Pengaruh Pendidikan dan Pengeluaran Per Kapita terhadap Pengangguran Terbuka di Indonesia Gregorius Ivan Aditya Purwahendra; Pardomuan Robinson Sihombing
Jurnal Akuntansi dan Bisnis Syariah Vol 2 No 2 (2025): Edisi 3
Publisher : Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35897/hasina.v2i2.2036

Abstract

Pengangguran terbuka merupakan salah satu indikator utama ketidakseimbangan pasar tenaga kerja yang dapat berdampak langsung terhadap pertumbuhan ekonomi dan kesejahteraan masyarakat. Meskipun pendidikan dan tingkat kesejahteraan ekonomi sering kali dianggap sebagai kunci utama dalam meningkatkan kualitas dan serapan tenaga kerja, efektivitasnya masih menjadi perdebatan, khususnya di negara berkembang seperti Indonesia. Penelitian ini bertujuan untuk menganalisis pengaruh persentase penduduk usia 25 tahun ke atas yang berpendidikan SMA ke atas dan pengeluaran per kapita terhadap tingkat pengangguran terbuka di 38 provinsi di Indonesia pada tahun 2024. Pendekatan yang digunakan adalah kuantitatif dengan metode regresi linier berganda, serta pengujian asumsi klasik untuk memastikan kelayakan model statistik. Data sekunder diperoleh dari publikasi resmi Badan Pusat Statistik (BPS). Hasil analisis menunjukkan bahwa kedua variabel independen tidak memiliki pengaruh signifikan secara statistik terhadap tingkat pengangguran terbuka, baik secara parsial maupun simultan. Nilai koefisien determinasi (R²) yang rendah sebesar 0,0289 menunjukkan bahwa pendidikan dan pengeluaran per kapita hanya mampu menjelaskan sekitar 2,89% variasi tingkat pengangguran terbuka antarprovinsi. Visualisasi melalui scatter plot dan analisis residual juga mendukung temuan tersebut. Hasil ini mengindikasikan bahwa pendidikan formal dan indikator kesejahteraan ekonomi saja belum cukup untuk menjelaskan kompleksitas masalah pengangguran di Indonesia. Diperlukan pendekatan multidimensional yang mempertimbangkan faktor struktural seperti jenis industri dominan, mobilitas tenaga kerja, serta efektivitas kebijakan ketenagakerjaan daerah.
A COMPARATIVE ANALYSIS OF MACROECONOMIC IMPACTS, MARKET PSYCHOLOGY, AND STRATEGIC IMPLICATIONS OF DIGITALISE REDENOMINATION IN INDONESIA Pardomuan Robinson Sihombing
Jurnal Media Akademik (JMA) Vol. 3 No. 12 (2025): JURNAL MEDIA AKADEMIK Edisi Desember
Publisher : PT. Media Akademik Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62281/k7rkc062

Abstract

Economic stability and banking efficiency, responding to the strategic discourse of the Indonesian Ministry of Finance as outlined in Minister of Finance Regulation (PMK) Number 70 of 2025. The main objective of this study is to analyse the determinants of redenomination success through a synthesis of the economic theories of Signalling, Menu Costs, and Money Illusion, as well as to fill the research gap related to the integration of this policy with Central Bank Digital Currency (CBDC). Using a systematic Narrative Review methodology, this study synthesises data from eight countries with extreme results: Turkey, Brazil, and Poland (successful); Ghana and Sierra Leone (mixed/risk); and Zimbabwe, Venezuela, and North Korea (total failure). The analysis shows that redenomination only succeeds in improving banking technical efficiency and lowering inflation expectations when implemented after macroeconomic stabilisation, not as a crisis solution. The main finding of this study is the empirical validation that "virtual" transition mechanisms, such as the Unit of Real Value (URV) in Brazil, can be adopted through the concept of "Digitalise Redenomination" using the Digital Rupiah in Indonesia to mitigate money illusion and menu costs.
THE EFFECT OF AVERAGE AGE AND LEVEL OF EDUCATION ON PEOPLE'S PURCHASING POWER IN INDONESIA IN 2022 Simbolon, Zefanya Grace Enos; Sihombing, Pardomuan Robinson
Jurnal Manajemen Ekonomi dan Bisnis Vol 4, No 1 (2025)
Publisher : Sekolah Tinggi Ilmu Ekonomi Graha Kirana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61715/jmeb.v4i1.120

Abstract

Education and age are two demographic factors that are believed to have an influence on individuals' economic conditions, including their purchasing power. Understanding the relationship between these variables is important in designing effective economic policies. The purpose of this study is to see how age and education level impact people's purchasing power in Indonesia. Purchasing power, which can be affected by demographic factors such as age and educational background, is an important indicator of a person's economic well-being. This study employs quantitative techniques using multiple linear regression analysis using cross-sectional data from 34 provinces in Indonesia in 2021. Secondary data sources include the Central Bureau of Statistics (BPS) and other relevant sources. The results showed that, with a coefficient of 0.352, education level has a positive and significant influence on purchasing power. This shows that the higher a person's level of education, the greater their ability to purchase goods and services. On the other hand, the age variable does not have a significant influence on purchasing power, but the productive age group of 25 to 55 years old seems to have better wealth. This result can be used by the government to increase people's purchasing power by making economic policies and programmes to increase access to education.
Analysis of Factors Affecting the Position of Indonesia's Foreign Exchange Reserves with ECM Model Sihombing, Pardomuan Robinson; Putu Widya Adnyani, Luh; Sundari, Marta; Huda, Miftahul; Hidayat, Syamsul
Jurnal Media Komunikasi Ilmu Ekonomi Vol 42 No 2 (2025): MELATI: Jurnal Media Komunikasi Ilmu Ekonomi Desember 2025
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Institut Teknologi dan Bisnis Ahmad Dahlan Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58906/melati.v42i2.306

Abstract

A Foreign exchange reserves are a vital instrument in maintaining Indonesia's macroeconomic stability, particularly in mitigating external turmoil and stabilizing the rupiah exchange rate. This study aims to analyze the factors that affect Indonesia's foreign exchange reserves position for the period from January 2022 to August 2025 using the Error Correction Model (ECM) method. Independent variables used include the Consumer Price Index (CPI), the rupiah exchange rate against the US dollar (IDR/$), and the policy rate (BI Rate). Data was obtained from the publication of Indonesian Economic and Financial Statistics (SEKI) of Bank Indonesia. The results of the Dickey-Fuller Augmented Stationarity test showed that all variables were stationary at the first difference, while the Engle-Granger co-integration test confirmed the existence of a long-term relationship between the variables. The results of the estimation indicate that, in the long term, no variables have a significant impact on foreign exchange reserves. However, in the short term, the exchange rate has a positive and significant influence, while the policy rate has a negative and significant effect on Indonesia's foreign exchange reserves. A value speed of adjustment indicates that short-term imbalances are corrected towards long-term equilibrium each month, indicating a swift adjustment mechanism.
The Effect of Ethanol Addition to Gasoline Fuel: A Comprehensive Analysis of Performance, Emissions, and Material Compatibility Based on Literature Studies Sihombing, Pardomuan Robinson
International Journal of Economics, Science, and Education Vol. 3 No. 1 (2026): International Journal of Economics, Science, and Education (IJESE)
Publisher : CV Pena Jaya Pers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65254/ijese.v3i1.49

Abstract

Background: Using bioethanol as an oxygenate additive in gasoline shows an increasing trend driven by the need for renewable fuels and efforts to mitigate exhaust emissions. Purpose: This study aims to conduct a critical and comprehensive synthesis of the positive and negative impacts of ethanol addition, focusing on engine performance, exhaust emissions, and material compatibility. Design/methodology/approach: The method used was a systematic literature review of primary scientific journals indexed by Scopus and SINTA. Findings: The analysis results show a dualism of impacts: on the one hand, adding ethanol consistently increases engine torque and power and significantly reduces carbon monoxide (CO) and hydrocarbon (HC) emissions. On the other hand, this is offset by the potential for increased fuel consumption due to the lower energy density of ethanol, ambiguous effects on nitrogen oxide (NOx) emissions, and the emergence of serious challenges related to corrosion of metal components and degradation of elastomer materials. Implication: These findings imply that adopting ethanol blends requires a holistic approach, including engine design optimization and improved material specifications in fuel systems to ensure long-term durability and safety. Paper type: Literature review
Projected Benefits Of The Free Nutritious Meals Program In Indonesia: A Comparative Analysis Based On Social Justice Theory And Human Capital Sihombing, Pardomuan Robinson
International Journal of Economics, Science, and Education Vol. 2 No. 6 (2025): International Journal of Economics, Science, and Education (IJESE)
Publisher : CV Pena Jaya Pers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65254/ijese.v2i6.50

Abstract

Background: Indonesia faces a paradoxical development phenomenon: intense and persistent economic growth, high child poverty rates, and stunting prevalence. The government initiated the Free Nutritious Meals Program (FNMP/ MBG) in response. Purpose: This study aims to analyze the projected multisectoral benefits of the MBG program. The method used is a theoretical qualitative literature review, framed by Human Capital Theory and Justice as Fairness Theory. Design/methodology/approach: A comparative analysis was conducted on school feeding programs in Brazil (PNAE), China (NNIP-RCES), and Japan (Kyūshoku). Findings: The results show that international programs have had a significant impact: PNAE in Brazil has empowered the local farming economy, NNIP-RCES in China has measurably improved academic achievement, and Kyūshoku in Japan has integrated nutrition with character education. Implication: These findings imply that MBG has the potential to be a strategic investment that not only improves nutrition but also enhances educational outcomes, stimulates the local economy, and functions as an instrument of fundamental social justice in Indonesia
Penerapan Metode Machine Learning dalam Klasifikasi Risiko Kejadian Berat Badan Lahir Rendah di Indonesia Pardomuan Robinson Sihombing; Istiqomatul Fajriyah Yuliati
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 20 No. 2 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v20i2.1174

Abstract

Penelitian ini akan mengkaji penerapan beberapa metode machine learning dengan memperhatikan kasus imbalanced data dalam pemodelan klasifikasi untuk penentuan risiko kejadian bayi dengan BBLR yang diharapkan dapat menjadi solusi dalam menurunkan kelahiran bayi dengan BBLR di Indonesia. Adapun metode meachine learning yang digunakan adalah Classification and Regression Tree (CART), Naïve Bayes, Random Forest dan Support Vector Machine (SVM). Pemodelan klasifikasi dengan menggunakan teknik resample pada kasus imbalanced data dan set data besar terbukti mampu meningkatkan ketepatan klasifikasi khususnya terhadap kelas minoritas yang dapat diihat dari nilai sensitivity yang tinggi dibandingkan data asli (tanpa treatment). Selanjutnya, dari kelima model klasifikasi yang iuji menunjukkan bahwa model random forest memberikan kinerja terbaik berdasarkan nilai sensitivity, specificity, G-mean dan AUC tertinggi. Variabel terpenting/paling berpengaruh dalam klasifikasi resiko kejadian BBLR adalah jarak dan urutan kelahiran, pemeriksaan kehamilan, dan umur ibu
Hubungan Spasial Determinan Lingkungan Binaan pada Kesehatan Perkotaan terhadap Kasus Covid-19 di Jakarta Wisely Yahya; Anindita Ramadhani; Martina Cecilia Adriana; Marselinus Nirwan Luru; Pardomuan Robinson Sihombing; Bayu Adinugroho
Jurnal Penataan Ruang Vol. 20 No. 1 (2025): Jurnal Penataan Ruang 2025
Publisher : Jurnal Penataan Ruang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j2716179X.v20i1.3035

Abstract

COVID-19 sebagai penyakit menular telah memberikan guncangan signifikan di seluruh dunia, termasuk di Indonesia. Kenaikan jumlah kasus COVID-19 di Indonesia sejak tahun 2020 hingga 2023 sejalan dengan lonjakan kasus yang terjadi di Provinsi Jakarta. Hubungan antara determinan lingkungan binaan dan kasus COVID-19 telah terbukti signifikan pada beberapa kota di dunia. Di sisi lain, literatur yang menunjukkan hubungan antara determinan lingkungan binaan kesehatan perkotaan pada masa pandemi COVID-19 di Jakarta dari sudut pandang perencanaan masih tergolong terbatas. Penelitian ini bertujuan untuk menganalisis hubungan spasial determinan lingkungan binaan pada kesehatan perkotaan terhadap kasus COVID-19 di Jakarta. Penelitian ini menggunakan data sekunder yang diperoleh dari data Pemerintah Provinsi Jakarta yang selanjutnya diolah menggunakan software GeoDa dengan analisis regresi spasial. Penelitian menunjukkan bahwa seluruh variabel independen berupa luas RTH, luas permukiman kumuh, panjang saluran drainase perkotaan, jumlah masyarakat terdampak banjir dan kepadatan penduduk secara bersama-sama berpengaruh signifikan dan berpola linear terhadap kasus COVID-19 di Provinsi Jakarta. Secara parsial, hanya variabel panjang saluran drainase perkotaan yang berpengaruh signifikan positif terhadap kasus COVID-19. Model lag spasial sebagai model terbaik pada penelitian menunjukkan bahwa panjang saluran drainase dan jumlah masyarakat terdampak banjir terbukti memiliki efek spasial pada penyebaran kasus COVID-19 di Jakarta. Penelitian ini juga memetakan pola spasial penyebaran kasus COVID-19 di Jakarta. Penelitian ini dapat menjadi dasar pertimbangan untuk para pemangku kepentingan dalam merumuskan strategi untuk meningkatkan kualitas lingkungan binaan, sehingga mendorong kesehatan perkotaan Jakarta yang lebih baik.
Anomaly Detection in Financial Data: Comparative Analysis of Statistical Methods and Machine Learning in Simulation Studies Sihombing, Pardomuan Robinson
Jurnal Akuntansi dan Bisnis Syariah Vol 3 No 1 (2026): Edisi 4
Publisher : Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35897/hasina.v3i1.2340

Abstract

The increasing prevalence of financial fraud in the digital era demands the development of reliable and efficient detection methods. This study aims to conduct a systematic comparative analysis of the effectiveness and consistency of seven anomaly detection methods on simulated transactional financial data. The methods tested cover a broad spectrum, ranging from Benford's Law, robust statistical methods (based on MAD), supervised machine learning (Logistic Regression and Random Forest), to unsupervised machine learning (K-Means Clustering and Isolation Forest). Using a simulation study based on R software, a dataset with 20,000 transactions was generated, 5% of which were manipulated as fraud with clear scenarios. The analysis results show that almost all methods successfully detected anomalies with a high success rate. Supervised models, such as Binary Logistic Regression, showed near-perfect performance, while unsupervised methods such as K-Means and Robust Distance (MAD) also showed recall rates above 95%. Although all methods performed well, there were differences in the trade-off between recall and false positives, underscoring the importance of choosing a method that suits business objectives. This study concludes that a layered approach that combines statistical screening with advanced machine learning models is the most comprehensive approach to fraud mitigation
The Dynamics of Indonesian Democracy (2021-2024): A Nonparametric Comparative Analysis of Democracy Indices and Their Aspects Sihombing, Pardomuan Robinson
Jurnal Akuntansi dan Bisnis Syariah Vol 3 No 1 (2026): Edisi 4
Publisher : Fakultas Ekonomi dan Bisnis Islam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35897/hasina.v3i1.2356

Abstract

Amidst the global discourse on democratic regression, the state of democracy in Indonesia post-reform continues to show complex dynamics. This study will conduct a longitudinal comparative analysis of the Indonesian Democracy Index (IDI) and its three components—Freedom, Equality, and Capacity of Democratic Institutions from 2021 to 2024 in 34 provinces. Given that the data is not normally distributed based on the Shapiro-Wilk test, the methodology used is the Friedman nonparametric test, followed by the Durbin-Conover post-hoc test for paired comparisons. The results show a statistically significant increase in the composite IDI score (χ2=15.8, p=0.001), the Equality aspect (χ2=21.5, p<0.001), and the Capacity of Democratic Institutions aspect (χ2=29.9, p<0.001) during the observation period. However, a crucial finding shows no statistically significant change in the Freedom aspect (χ2=6.53, p=0.089). This study argues that statistical improvements in several aspects likely reflect procedural and administrative progress driven by government policies. However, this progress can potentially obscure the reality of a more complex and sometimes contradictory substantive democracy, particularly in civil liberties and institutional integrity.
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