{"id":923,"date":"2026-06-16T16:52:00","date_gmt":"2026-06-16T16:52:00","guid":{"rendered":"https:\/\/fmipa-baru.unj.ac.id\/statistika\/?p=923"},"modified":"2026-06-16T16:52:03","modified_gmt":"2026-06-16T16:52:03","slug":"dian-handayani-m-si","status":"publish","type":"post","link":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/2026\/06\/16\/dian-handayani-m-si\/","title":{"rendered":"Dian Handayani, M.Si."},"content":{"rendered":"\n

Penelitian Dian Handayani, M.Si.<\/h2>\n\n\n\n
No.<\/th>Judul<\/th>Dihasilkan\/Dipublikasikan pada<\/th>Tahun Publikasi<\/th><\/tr><\/thead>
1.<\/td>Pelatihan Analisis Data Multivariat Bagi Dosen dan Mahasiswa di Perguruan Tinggi Swasta Anggota LLDIKTI Wilayah III (sebagai anggota)<\/td>BLU MIPA UNJ<\/td>2021<\/td><\/tr>
2.<\/td>Laporan penelitian: Distribusi Generalized Poisson Sebagai Solusi Alternatif Untuk Mengatasi Underdispersi dan Overdispersi Pada Data Cacahan (sebagai Ketua)<\/td>Laporan Penelitian BLU MIPA UNJ<\/td>2020<\/td><\/tr>
3.<\/td>The Spatial Empirical Bayes Predictor of The Small Area Mean for a Lognormal Variable of Interest and Spatially Correlated Random Effects<\/em><\/td>Empirical Economics<\/td>2018<\/td><\/tr>
4.<\/td>Laporan Penelitian: Pengembangan Metode Terbaik Empirik Spasial Dalam Pendugaan Parameter Area Kecil Non-linier ( Penelitian Disertasi Doktor \u2013 sebagai anggota)<\/td>Laporan Penelitian Fundamental DIKTI<\/td>2018<\/td><\/tr>
5.<\/td>Empirical Best Predictor for Nested Error Regression Small Area Models: A Literature Review<\/em><\/td>Dipresentasikan pada\u00a0The 4th<\/sup>\u00a0International Seminar on Sciences<\/em>\u00a0Bogor, 19-20 Oktober 2017<\/td>2017<\/td><\/tr>
6.<\/td>Approximation Methods for Maximum Likelihood Estimation in Generalized Linear Mixed Models<\/em>\u00a0<\/a>(GLMM)<\/td>Dipresentasikan pada\u00a0The 2nd<\/sup>\u00a0International Conference on Applied Statistics<\/em>\u00a0(ICAS), UNPAD Bandung, 27-28 September 2016.<\/td>2016<\/td><\/tr>
7.<\/td>Robustness in Small Area Estimation<\/em><\/td>Dipresentasikan pada\u00a0The 7th<\/sup>\u00a0International Conference on Numerical Optimization and Operation Research<\/em>\u00a0(ICNOOR \u2013VII), Hanoi, 31 Oktober \u2013 2 November 2016<\/td>2016<\/td><\/tr>
8.<\/td>Pendugaan Parameter Overdispersi Dalam Pengepasan Model Pada Data Dengan Respon Banyak Nol (Sparse Data<\/em>)<\/td>Dipresentasikan pada Seminar Nasional Matematika dan Statistika (SEMASTAT), UNP Padang, 26 Februari 2016<\/td>2016<\/td><\/tr>
9.<\/td>Penggunaan Regresi Zero-Inflated Poisson Dalam Mengatasi Overdispersi Pada Data Cacahan (Count Data)<\/td>Dipublikasikan pada Jurnal Matematika Aplikasi dan Pembelajaran Vol.14 Issue :1, 2016<\/td>2016<\/td><\/tr>
10.<\/td>Small Area Estimation Considering Skewness Data and Spatially Correlated Random Area Effects<\/a><\/td>Dipresentasikan pada\u00a0The First International Conference\u00a0on Statistical Methods in Engineering, Science,\u00a0Economy,\u00a0and Education<\/em>\u00a0(SESEE-2015), UII Yogyakarta, 20 September 2015.<\/td>2015<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

Penelitian Dian Handayani, M.Si. No. Judul Dihasilkan\/Dipublikasikan pada Tahun Publikasi 1. Pelatihan Analisis Data Multivariat Bagi Dosen dan Mahasiswa di Perguruan Tinggi Swasta Anggota LLDIKTI Wilayah III (sebagai anggota) BLU MIPA UNJ 2021 2. Laporan penelitian: Distribusi Generalized Poisson Sebagai Solusi Alternatif Untuk Mengatasi Underdispersi dan Overdispersi Pada Data Cacahan (sebagai Ketua) Laporan Penelitian BLU…<\/p>\n","protected":false},"author":1,"featured_media":255,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[41],"tags":[],"class_list":["post-923","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-penelitian"],"_links":{"self":[{"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/posts\/923","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/comments?post=923"}],"version-history":[{"count":1,"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/posts\/923\/revisions"}],"predecessor-version":[{"id":924,"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/posts\/923\/revisions\/924"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/media\/255"}],"wp:attachment":[{"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/media?parent=923"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/categories?post=923"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fmipa.unj.ac.id\/statistika\/index.php\/wp-json\/wp\/v2\/tags?post=923"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}