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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 Melati: Jurnal Media Komunikasi Ilmu Ekonomi Priviet Social Sciences Journal Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Jurnal Media Akademik (JMA) Jurnal Manajemen Ekonomi dan Bisnis Jurnal Ilmiah Kesehatan Pernus Buletin Ilmiah Litbang Perdagangan Advance Sustainable Science, Engineering and Technology (ASSET) Hasina: Jurnal Akuntansi dan Bisnis Syariah International Journal of Economics, Science, and Education (IJESE)
Pardomuan Robinson Sihombing
BPS-Statistics Indonesia
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Aplikasi Pemodelan Logit, Probit dan Clog-Log Pada Regresi Binomial (Studi Kasus: Pemodelan Penyakit Jantung) Pardomuan Robinson Sihombing
Jurnal Multidisiplin Madani Vol. 2 No. 6 (2022): June 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v2i6.430

Abstract

This study aims to compare the modeling of the causative factors of heart disease using logit, probit and clog-log regression. The three models gave the same results for both the simultaneous and partial tests in modeling the probability case of heart disease. The Probit model gives the best results with the smallest error value criteria (AIC and BIC) and the largest prediction accuracy value. All complications of disease (high blood pressure, cholesterol, diabetes, smoking habits) have a higher chance of developing heart disease risk than those who do not. In terms of gender, men have a higher risk of heart disease than women. In general, it can be concluded that complications and gender have an effect on heart disease. Based on these results, it is expected to increase awareness of the risk of heart disease and its causes.
Analisis Klasifikasi Data Tracer Study Dengan Support Vector Machine Dan Neural Network Drajat Indra Purnama; Rahmi Lathifah Islami; Lisna Sari; Pardomuan Robinson Sihombing
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 4 No. 2 (2021): Volume IV - Nomor 2 - Maret 2021
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v4i2.191

Abstract

Perguruan tinggi melakukan Tracer study secara reguler setiap tahun untuk memenuhi kebutuhan data akreditasi, pengembangan kurikulum dan perbaikan pembelajaran di perguruan tinggi serta mengetahui kualitas lulusan. Penelitian ini bertujuan melakukan analisis klasifikasi waktu tunggu kerja untuk mengetahui tingkat kelancaran alumni dalam mendapatkan pekerjaan dengan menggunakan metode klasifikasi Support Vector Machines(SVM) dan Backpropagation Neural Network (BPNN). Kedua metode klasifikasi baik BPNN dan SVM dengan fungsi Kernel Anova dapat menggambarkan klasifikasi data tracer study berdasarkan tingkat kelancaran alumni untuk mendapatkan pekerjaan (lancar dan tidak lancar) dengan tingkat akurasi yang hampir sama, yaitu sebesar 83.33% untuk tangkat akurasi BPNN dan 83.00% untuk tingkat akutasi SVM. Diharapkan dengan mengetahui faktor yang dapat mengklasifikasikan tingkat kelancaran dalam mendapatkan pekerjaan, pihak universitas dapat memberikan kebijakan yang relevan sehingga kualitas lulusan akan semakin baik.
Faktor Yang Memengaruhi Kesejahteraan Rumah Tangga Yang Dipimpin Perempuan Pardomuan Robinson Sihombing; Rini Rahani
Aksara: Jurnal Ilmu Pendidikan Nonformal Vol 7, No 2 (2021): May 2021
Publisher : Magister Pendidikan Nonformal Pascasarjana Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/aksara.7.2.225-232.2021

Abstract

Pada umumnya yang bertanggung jawab dalam memenuhi kebutuhan dan kesejahteraan keluarga adalah laki-laki sebagai kepala rumah tangga (KRT). Akan tetapi ada kalanya KRT bukan laki-laki tetapi perempuan. Hal ini dapat terjadi apabila dalam suatu rumah tangga terjadi perceraian baik cerai hidup maupun cerai mati. Penelitian ini bertujuan mengetahui faktor yang mempengaruhi kesejahterahan rumah tangga yang dipimpin perempuan. Data yang digunakan dari Survei Demografi Dan Kesehatan Indonesia (SDKI) tahun 2017. Model yang digunakan menggunakan analisis regresi ordinal. Hasil yang didapat tingkatan pendidikan dan umur memberikan hasil yang signifikan positif. Sedangkan lokasi tempat tinggal dan status bekerja memberikan hasil yang signifkan negatif. Perlu adanya kebijakan dan pemberdayaan terhadap keluarga yang dipimpin perempuan, sehingga kesejahteraan dapat dirasakan oleh setiap keluarga.
Bagaimana Kesetaraan Gender Dalam Meraih Kesempatan Kerja Di Jakarta? Pardomuan Robinson Sihombing; Busminoloan Busminoloan; Sri Murdaningrum
LOMBOK JOURNAL OF SCIENCE Vol 4 No 1 (2022): Lombok Journal of Science
Publisher : LOMBOK JOURNAL OF SCIENCE

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

Abstract

Penelitian ini bertujuan mengetahui bagaimana kesetarahan gender dalam meraih kesempatan bekerja di Jakarta. Data yang digunakan bersumber dari Survei Angkatan Kerja Nasional (SAKERNAS) Badan Pusat Statistik tahun 2020. Model yang digunakan adalah regresi binomial logistik. Selain itu dalam pemodelan ditambahkan efek teknik Blinder-Oaxaca Decomposition untuk melihat kesenjangan gender. Hasil yang didapat bahwa tidak terjadi ketimpangan yang terlalu besar antara laki-laki dan perempuan dalam kesempatan bekerja dengan nilai ketimpangan 1.03 persen. Umur, pendidikan, status perkawinan berpengaruh terhadap kesempatan kerja baik pada laki-laki maupun perempuan. Jumlah anak dan pelatihan tidak berpengaruh terhadap kesempatan kerja pada laki-laki. Kesetarahan gender perlu dipertahankan bahkan ditingkat agar baik laki-laki dan perempuan memiliki hak akses yang sama baik dalam bidang pekerjaan, pendidikan maupun ekonomi. Keywords: bekerja, gender, kesetaraan, oaxaca
Macro Socio-Economic Factors that Affect the Happiness Index in Indonesia Pardomuan Robinson Sihombing
SOSHUM : Jurnal Sosial dan Humaniora Vol. 12 No. 2 (2022): July 2022
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (199.249 KB) | DOI: 10.31940/soshum.v12i2.154-160

Abstract

This study aims to determine the macro socio-economic factors that affect the Happiness Index in Indonesia. The data used comes from the publications of BPS-Statistics Indonesia. The data used is panel data with a research period of 2014, 2017, and 2021 according to the publication time of the Happiness Index. The analysis model used is panel data regression analysis. Of the three panel models tested Common, Fixed, and Random), the fixed effects model was the best. The classical assumption test was carried out on the selected model. The result was that there were violations of the heteroscedastic and autocorrelation assumptions. Because it violates assumptions, the selected fixed effect model is transformed into the white cross-section GLS model. The results obtained, Simultaneously, all independent variables can influence the happiness index with a coefficient of 95 percent. The Gini ratio, the poor, and the open unemployment rate have a significant negative effect on the poverty index. In contrast, HDI, per capita/month expenditure, and economic growth positively impact happiness index. A comprehensive policy is needed so that the level of happiness of the Indonesian people continues to increase.
PENERAPAN REGRESI NONPARAMETRIK KERNEL DAN SPLINE DALAM MEMODELKAN RETURN ON ASSET (ROA) BANK SYARIAH DI INDONESIA Putri Indi Rahayu; Pardomuan Robinson Sihombing
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 14, No 2 (2020): JURNAL EPSILON VOLUME 14 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (320.868 KB) | DOI: 10.20527/epsilon.v14i2.2968

Abstract

Sharia Bank Return On Assets (ROA) modeling in Indonesia in 2018 aims to analyze the relationship pattern of Retturn On Assets (ROA) with interest rates. The analysis that is often used for modeling is regression analysis. Regression analysis is divided into two, namely parametric and nonparametric. The most commonly used nonparametric regression methods are kernel and spline regression. In this study, the nonparametric regression used was kernel regression with the Nadaraya-Watson (NWE) estimator and Local Polynomial (LPE) estimator, while the spline regression was smoothing spline and B-splines. The fitting curve results show that the best model is the B-splines regression model with a degree of 3 and the number of knots 5. This is because the B-splines regression model has a smooth curve and more closely follows the distribution of data compared to other regression curves. The B-splines regression model has a determination coefficient of R ^ 2 of 74.92%,%, meaning that the amount of variation in the ROA variable described by the B-splines regression model is 74.92%, while the remaining 25.8% is explained by other variables not included in the model.
PRINCIPAL COMPONENT ANALYSIS BIPLOT GLOBAL COMPETITIVENESS INDEX ASEAN COUNTRIES Lina Sari; Pardomuan Robinson Sihombing
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 14, No 2 (2020): JURNAL EPSILON VOLUME 14 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (367.537 KB) | DOI: 10.20527/epsilon.v14i2.2967

Abstract

ASEAN's global competitiveness requires institutional and ASEAN countries appear to be a formidable economic actors in protecting the economic interests and at the same time having an open economic system that indicates the readiness of ASEAN to compete with the economic strength of the entire region in the world. In this case the measurement of global competitiveness factors become important aspects of state enterprises in the face of global competition. This study was conducted to determine how competitive the ASEAN countries with Biplot method of Principal Component Analysis. Results obtained from this study is the ASEAN countries have different advantages in each of the variables related to the global competitiveness index. In addition, the diversity of which can be explained more than 70% which is 90.69% which means that Principal Component Analysis Biplot describes well the overall total
BIPLOT ANALYSIS ON PRINCIPAL COMPONENTS OF HUMAN DEVELOPMENT IN ASEAN COUNTRIES Deva A. Nurul Huda; Pardomuan Robinson Sihombing
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol. 15(1), 2021
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (323.437 KB) | DOI: 10.20527/epsilon.v15i1.3673

Abstract

The Human Development Index (HDI) has been the key indicator for assessing the development of a country throughout the years. It is conducted from four indicators that represent the health dimension, the education dimension, and the standard of living dimension. In ASEAN countries, the HDI tends to rise from year to year, with some countries can achieve the very high and high level of human development, while the others are still in the medium level. The aim of this study is to find the information about relative positions, characteristic similarities between ASEAN countries and the diversity of the components that construct the human development index. The Principal Component Analysis Biplot used divides the ten countries into four groups. Group 1 are the countries with the high scores especially in GNI per capita, group 2 are the ones with high scores especially in the mean years of schooling, group 3 have low scores especially in GNI per capita, and group 4 have low scores especially in the mean years of schooling
PEMODELAN PENYAKIT DIFTERI DI SUMATERA BARAT MENGGUNAKAN REGRESI ZERO INFLATED DAN REGRESI HURDLE Fitri Mudia Sari; Pardomuan Robinson Sihombing
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol. 15(1), 2021
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (532.751 KB) | DOI: 10.20527/epsilon.v15i1.3676

Abstract

Data that states the number of events in a certain period of time is called count data. Poisson regression is one of the regression models included in the application of GLM that can be used to model the count data. In Poisson regression, there are assumptions that must be met, namely the mean and variance of the response variables must be the same (equidispersion). Several models that are able to overcome overdispersion due to excess zero are the Zero Inflated model and the Hurdle model. This study examines the characteristics of parameter estimation in the modeling of quantified data that is overdispersed due to excess zero using the Zero Inflated Poisson (ZIP), Zero Inflated Negative Binomial (ZINB), Hurdle Poisson (HP) model and the Hurdle Negative Binomial (HNB) model in cases of diphtheria. in West Sumatra in 2018. Based on individual parameter testing and AIC values, the HP model provides better performance than the ZIP, ZINB, and HNB models. So the Hurdle Poisson model is better used in this case than other models
Pinjaman Fintech: Pengaruh Pada Perekonomian Dan Inklusi Keuangan Daerah Di Indonesia Kuat Sidik Wahyono; Pardomuan Robinson Sihombing; Masruri Muchtar
Jurnalku Vol 2 No 4 (2022)
Publisher : PT Wim Solusi Prima

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (624.547 KB) | DOI: 10.54957/jurnalku.v2i4.300

Abstract

Penelitian ini mengkaji dampak fintech peer-to-peer (P2P) lending terhadap perekonomian daerah dengan menggunakan indikator ekonomi makro di 34 provinsi Indonesia tahun 2020 - 2021. Variabel independen yang digunakan adalah jumlah penyaluran kredit dan tingkat gagal bayar (TPW90) sedangkan variabel dependennya adalah Produk Domestik Regional Bruto (PDRB), tingkat pengangguran, tingkat kemiskinan, tingkat ketimpangan, dan indeks inklusi keuangan. Data sekunder yang bersumber dari OJK dan BPS ini kemudian dianalisis menggunakan regresi multivariat. Berdasarkan hasil penelitian, kenaikan 1% fintech loan cenderung meningkatkan PDRB sebesar 0,653%, tingkat pengangguran sebesar 1,163%, dan tingkat ketimpangan sebesar 0,0215 namun fintech loan tidak berpengaruh baik terhadap tingkat kemiskinan maupun inklusi keuangan. Sementara itu, tingkat gagal bayar secara keseluruhan tidak berpengaruh terhadap masing-masing variabel dependen. Hasil penelitian ini diharapkan dapat digunakan sebagai acuan oleh pemerintah dalam merumuskan kebijakan dan bagi peneliti lain pada penelitian selanjutnya.
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 Putu Widya Adnyani, Luh 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 Simbolon, Zefanya Grace Enos Sinarta Putra P. Surbakti Sodiqin, Achmad Sri Murdaningrum Stephanus, Matthew Sundari, Marta Supriatna, Yayat Suryadiningrat Suryadiningrat Suryadiningrat SYAMSUL HIDAYAT 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