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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

Pardomuan Robinson Sihombing

BPS-Statistics Indonesia

Author-ID : 5437779

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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ANALISIS CLUSTER TIME SERIES DALAM PENGELOMPOKAN PROVINSI DI INDONESIA BERDASARKAN NILAI PDRB Luh Putu Widya Adnyani; Pardomuan Robinson Sihombing
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 1 No. 1 (2021): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Cluster time series merupakan metode pengelompokkan data runtun waktu yang dapat digunakan untuk mengelompokkan provinsi-provinsi yang ada di Indonesia berdasarkan nilai PDRB. Analisis cluster yang dilakukan menggunakan jarak dynamic time warping (DTW) dan jarak Euclid. Penggunaan kedua jarak tersebut dibandingkan untuk mengetahui hasil penggerombolan terbaik, khususnya pada kasus pengelompokan provinsi di Indonesia berdasarkan nilai Pendapatan Domestik Regional Bruto (PDRB). Hasil penelitian menyimpulkan bahwa dengan membentuk enam cluster maka diperoleh koefisien Silhouette untuk metode DTW sebesar 0,68 sedangkan untuk metode Euclidien memiliki koefisien Silhouette sebesar 0,605. Dengan demikian dapat dinyatakan bahwa kedua metode tersebut membentuk cluster dengan kategori good classifications

PENERAPAN MODEL VECTOR AUTOREGRESSIVE (VAR (2)) PADA DATA INFLASI DI PROVINSI JAWA TIMUR DAN BALI Putri Indi Rahayu; Ade Famalika; Pardomuan Robinson Sihombing
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 1 No. 1 (2021): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Fenomena inflasi merupakan suatu gejala atau kejadian yang dapat diamati dimana tingkat harga umum mengalami kenaikan secara terus menerus. Penelitian ini memodelkan Inflasi di Provinsi Jawa Timur dan Bali dengan menggunakan model VAR. Model VAR yang didapat adalah model VAR dengan lag 2. Hasil yang didapat menunjukkan laju inflasi di Jawa Timur akan menurun ketika laju inflasi di Bali pada dua periode sebelumnya juga menurun dan satu periode sebelumnya meningkat. Selain itu, laju inflasi di Bali akan meningkat dengan meningkatnya laju inflasi di Jawa Timur baik periode kemarin atau satu periode sebelumnya maupun dua periode sebelumnya. Sebaliknya, laju inflasi di Bali akan menurun ketika laju inflasi pada dua periode sebelumnya meningkat

PERBANDINGAN ANALISIS KOMPONEN UTAMA DAN ROBUST PCA (ROBPCA): (STUDI KASUS: PADA ANALISIS DATA RATA-RATA PENGELUARAN PER KAPITA SEBULAN UNTUK KOMODITAS MAKANAN DI PROVINSI SULAWESI SELATAN) Drajat Indra Purnama; Pardomuan Robinson Sihombing
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 1 No. 1 (2021): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Sulawesi Selatan merupakan provinsi di wilayah timur Indonesia yang merupakan pintu gerbang menuju beberapa wilayah atau kota di Indonesia Timur. Tingkat kesejahteraan penduduk Sulawesi Selatan dapat diukur salah satunya dengan menghitung pengeluaran dalam memenuhi kebutuhan hidupnya baik kebutuhan makanan maupun bukan makanan. Pada penelitian ini akan dilakukan analisis terhadap rata-rata pengeluaran per kapita sebulan pada empat belas kelompok makanan. Untuk memudahkan analisis terhadap variabel yang jumlahnya banyak maka perlu dilakukan penyederhanaan jumlah variabel menggunakan analisis kompone utama dengan metode PCA klasik dan ROBPCA. Hasil yang didapat metode ROBPCA memberikan performa yang lebih baik dari pada PCA klasik, hal ini dapat dilihat model ROBPCA mampu menghasilkan jumlah komponen utama yang lebih sedikit daripada variabel asalnya, hanya dengan 3 komponen sudah mampu menjelaskan hingga 80,69 persen

PENGELOMPOKAN PROVINSI DI INDONESIA BERDASARKAN FASILITAS KESEHATAN MENGGUNAKAN METODE TWO STEP CLUSTER Putri Indi Rahayu; Pardomuan Robinson Sihombing
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 1 No. 1 (2021): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Fasilitas kesehatan merupakan hal yang paling dasar dari kesehtan untuk membantu masyarakat memperoleh layanan kesehatan. Berdasarkan data dari kementrian kesehatan di tahun 2017, fasilitas kesehatan di provinsi indonesia, terdapat 34 provinsi yang menjadi objek penelitian. Two Step Cluster (TSC) adalah metode yang dirancang untuk mengatasi masalah skala pengukuran yang berbeda dalam hal ini bertipe kontinu dan kategorik. Dalam penelitian ini TSC digunakan untuk mengelompokkan provinsi di indonesia berdasarkan fasilitas kesehatan. Hasil dari TSC didapatkan 3 pengelompokkan yaitu Kelompok 1 memiliki 4 provinsi dengan frekuensi jumlah klinik, jumlah dokter umum, jumlah bidan, keberadaan tenaga terapi fisik dan keberadaan teknisi medis. Kelompok 2 memiliki 12 provinsi, dimana untuk frekuensi terapi fisik tidak ada provinsi yang tidak mempunyai tenaga terapi fisik, dan 12 provinsi yang mempunyai tenaga terapi fisik sedangkan untuk frekuensi teknisi medis tidak ada provinsi yang tidak mempunyai tenaga teknisi medis dan 12 provinsi yang mempunyai tenaga teknisi medis. Sedangkan Kelompok 3 memiliki 18 provinsi dengan frekuensi jumlah puskesmas, jumlah klinik, jumlah dokter umum, jumlah tenaga kefarmasian, keberadaan tenaga terapi fisik dan keberadaan teknisi medis

MODELING OF OPEN UNEMPLOYMENT RATE AND PERCENTAGE OF POOR POPULATION WITH NONPARAMETRIC REGRESSION Pardomuan Robinson Sihombing; Ahid Nur Istinah
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 1 No. 2 (2021): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Poverty is often a topic discussed and debated in various national and international forums. The problem of poverty does not seem to be finished being discussed every day. Many factors have contributed to the high poverty rate in Indonesia, and one of them is the high unemployment rate. This research is aimed at modeling of open unemployment rate and percentage of poor population with nonparametric regression. The methods used are Nadaraya Watson Estimator (NEW), Local Polynomial Estimator (LPE) and Smoothing Spline regression. In choosing the best model using the smallest Mean Square Error (MSE) value. The pattern of the relationship between unemployment and the percentage of poor population based on the scatter plot shows an unclear pattern and does not follow a parametric regression pattern. The results of the comparison of the MSE value, smoothing spline has the smaller value than NWE

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

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

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

KOMPARASI PERFORMA K-MEANS DAN FUZZY C-MEANS: Studi Kasus: Indeks Pembangunan Ekonomi Inkslusif Indonesia Pardomuan Robinson Sihombing; Yoshep Paulus Apri Caraka Yuda; Busminoloan Busminoloan; Iis Hayyun Nurul Islam
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.v2i2.35

This study aims to test the performance of the K-Means Cluster method with Fuzzy C-Means. The data used is data from the Inclusive Economic Development Index in 34 provinces in Indonesia in 2021. The data is sourced from Bappenas. The optimum number of clusters suggested using the Elbow method technique is as many as 4 clusters. By paying attention to the silouhette value the K-Means method is as good as the Fuzzi C-Means. However, the K-Means method is better than the Fuzzy C-Means model when viewed based on the criteria of smaller AIC and BIC values and a larger R 2. The provinces of Papua and West Papua have negative cluster means values for all variables so it is said that it is still lacking for all pillars of the IEDI. On the other hand, the provinces of DI Yogyakarta and DKI Jakarta have positive cluster means values for all variables so that they are said to be good in terms of the economy and opportunities and access but still have high inequality and poverty. Comprehensive and targeted policies are needed so that inclusive economic development in Indonesia can be evenly distributed and increased every year

COMPARISON PERFORMANCE NON-HIERARCHICAL CLUSTER: Case Study: Central Java Regional Competitiveness Index Pardomuan Robinson Sihombing; Ade Marsinta Arsani; Dyah Purwanti; Sigit Budiantono
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 1 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

The Regional Competitiveness Index (RCI) is a benchmark for measuring a region's ability to compete in a market. RCI covers several indicators, including infrastructure, human resource quality, innovation, and government policies supporting economic growth. This study aims to test the performance of several non-hierarchical cluster techniques. The data used Regional Competitiveness Index data in 35 Cities in Central Java in 2022 from the National Research and Innovation Agency (BRIN). The optimal number of clusters recommended using the Elbow method technique is as many as 3. The K-Means method is the best considering the largest Silouhette and R2 values and the smallest AIC/BIC. Cluster 1 has negative values for Pillars 2, 4, 9, and 10. Members in this cluster are Sukoharjo, Magelang City, Surakarta, Salatiga, Pekalongan City, and Tegal City. On the other hand, Cluster 2 has only one negative value for pillar nine. The members of this cluster are Semarang City. The third cluster is only positive in pillar nine and pillar 28. The members of this cluster are as many as 28 other districts. A comprehensive and targeted policy is needed so that the competitiveness index of the Central Java region continues to increase

Pandangan Model Dua-Sektor Lewis dan Model Solow terhadap Pertumbuhan Ekonomi Indonesia Hendiva Tri Nugraha; Masruri Muchtar; Pardomuan Robinson Sihombing
Ecoplan Vol 6 No 1 (2023)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Lambung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/ecoplan.v6i1.632

This study aims to acknowledge the effect of applying the two-sector Lewis and Solow neoclassical growth model in Indonesia’s economic growth. The variables are Urbanization Rate, Labor in Industry Sector, Human Development Index, Total Factor Productivity, and GDP. The research model is an associative quantitative method with multiple linear regression on time series data. The result showed that all variables simultaneously affect GDP significantly. Urbanization (partially) affects GDP positively and significantly. Labor in Industry Sector (partially) doesn’t affect GDP. HDI doesn’t affect GDP. TFP affects GDP positively and considerably at a 90% confidence level. According to this research, the Indonesian Government should increase the quality of their labor, especially in the industry sector. Further research is expected to add more variables that represent both models.

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

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