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All Journal PROSIDING SEMINAR NASIONAL Pendidikan Matematika JURNAL PENDIDIKAN TAMBUSAI Pelita Eksakta Journal of Mathematics UNP UNP Journal of Statistics and Data Science
Atus Amadi Putra
Departemen Statistika, Universitas Negeri Padang
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics Physics Social Sciences Other

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Journal : Journal of Mathematics UNP

 1 
Pendugaan Data Hilang Menggunakan Metode Connected EM-AMMI dalam Bahasa R Siskha Maulana Basrul; Atus Amadi Putra; Yenni Kurniawati
Journal of Mathematics UNP Vol 2, No 1 (2014): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.184 KB) | DOI: 10.24036/unpjomath.v2i1.1961

Abstract

Abstract –The Multilocation experiment, complete data are estimated with AMMI (Additive Main Effect and Multiplicative Interaction). But, if data in the research is not complete, then it can not be analysis with AMMI. The method can be use in estimator of unbalance data is “ The Method of Connected EM-AMMI with R”. The purpose of estimator from unbalance data with connected EM-AMMI in R is for knowing the procedures of estimator unbalance data in R. The source of data is in the research is the harvest’s result of rice in four cities’s West Sumatra. After that, we get 1.25 % Mean Absolute Percentage Error (MAPE). It shows that the estimator of unbalance data with using connected EM-AMMI’s method. Keywords – AMMI,  connected EM-AMMI, unbalance data, MAPE.
Faktor-Faktor Penyebab Perceraian pada Pengadilan Agama Pariaman dengan Penerapan Metode Regresi Logistik Biner Rahmawita Rahmawita; Atus Amadi Putra
Journal of Mathematics UNP Vol 4, No 4 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (879.308 KB) | DOI: 10.24036/unpjomath.v4i4.7922

Abstract

Abstract — Divorce is the process of terminating a marriage. This research discusses the contributing factors of divorce by applying binary logistic regression methods at Religious Courts of Pariaman. The divorce lawsuit filed in Religious Court of Pariaman has undergone an increase in the last few years since 2014-2017 where this divorce case is improving more than 7000 cases per year. The factors used are husband’s age, wife’s age, husband’s education, wife’s education, there is third person, harshness, economic factors, unresponsibility, uncompatible. The population was all cases of divorce at Pariaman in January-February 2019 as many as 134 cases, which is using total sampling. Based on the result that the most dominant factor of divorce causes are husband’s education level and uncompatible. Keywords — Binary Logistic Regression, Divorce, Dominant Factors.
Co-Authors Admi Salma Azma, Meil Sri Dian defal aditya defran Dina Fitria Dinda Fitriza Dodi Vionanda Dony Permana Elsa Oktaviani Elvina Catria Erni Syofna Fadhilah Fitri Fanni Rahma Sari Febiola Putri, Febi Findri Wara Putri Futiah Salsabila Hana Rahma Trifanni Hasnatul Huda Helma Helma Mardhiatul Azmi Melda Elfiyanti Melin Wanike Ketrin Muhammad Alif Yustin Nilda Yanti Nonong Amalita Nurhamidah Nurhamidah Okia Dinda Kelana Puti Utari Maharani Rahmadani Iswat Rahmawita Rahmawita Rina Febriana Rini Hartati Rizqia Salsabila Siskha Maulana Basrul Sofia Edriati Syifa Amelia Tessy Octavia Mukhti Villia Anggraini Vina Delfi Viola Yuniza Widia Handa Riska Yenni Kurniawati Yerizon Yerizon Yolian Widya Ningsih Yulyanti Harisman Zamahsary Martha Zilrahmi, Zilrahmi