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Journal : Jurnal Gaussian

PEMODELAN INDEKS PEMBANGUNAN MANUSIA PROVINSI JAWA BARAT, JAWA TIMUR DAN JAWA TENGAH TAHUN 2019 DENGAN MENGGUNAKAN METODE REGRESI LOGISTIK ORDINAL Meylita Sari; Purhadi Purhadi
Jurnal Gaussian Vol 10, No 1 (2021): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.v10i1.30022

Abstract

Ordinal logistic regression is one of the statistical methods to analyze response variables (dependents) that have an ordinal scale consisting of three or more categories. Predictor variables (independent) that can be included in the model are category or continuous data consisting of two or more  variables. Human Development Index (HDI) is an indicator of the success of human development in a region and can be categorized into medium, high and very high. Based on the further categorization, in this study would like to know more about the HDI model using the Ordinal Logistic Regression method, with predictor variables that are suspected to affect, so that it is obtained in West Java Province is influenced by variable poverty rates and clean water sources with a classification accuracy value of 77.78%, Central Java Province is influenced by variable economic growth rate based on constant price GDP, poverty rate and open unemployment rate with a classification accuracy value of 82.85%. East Java province is influenced by variable poverty rate and open unemployment rate with a classification accuracy value of 76.31%. As well as in the three provinces in Java Island is influenced by variable economic growth rate, variable poverty rate, variable clean water source with a classification accuracy value of 73%.
ESTIMASI PARAMETER DAN PENGUJIAN HIPOTESIS MODEL GEOGRAPHICALLY WEIGHTED GENERALIZED GAMMA REGRESSION Hasbi Yasin; Purhadi Purhadi; Achmad Choiruddin
Jurnal Gaussian Vol 11, No 1 (2022): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.v11i1.33990

Abstract

Each location has unique characteristics, which are different from other locations which give rise to spatial effects between locations. Therefore, the Generalized Gamma Regression (GGR) model is not suitable to be applied to this problem. The solution is to use a Geographically Weighted Generalized Gamma Regression (GWGGR) model which produces different parameters for each observation location. This study aims to estimate GWGGR parameters using the Berndt-Hall-Hall-Hausman (BHHH) algorithm. After parameter estimation is performed, the hypothesis testing procedure is used to test the similarity of parameters between the generalized gamma regression and GWGGR and to test the significance of the independent variables in the model, either simultaneously using the Maximum Likelihood Ratio Test (MLRT) or partially using the Z-test. Keywords: BHHH, Generalized Gamma, GGR, GWGGR, MLRT.
Co-Authors Abima Aunur Rochman Achmad Choiruddin Affanda Abdul Hakim Aminullah Agus Suharsono Alia Lestari Alifa Silfi Mufidah Andriana Yoshinta Herindrawati Angga Dwi Mulyanto Annisa Auliya Rahman Arrafi Dwiargatra Bambang Widjanarko Otok Barep Adji Widhi Pangestu Brianika Irawati Choiruddin, Achmad Cindy Cahyaning Astuti Diah Puspito Wulandari Dina Oktafia Sulistyani Dinar Ariana Viestri Dinarta Dinarta Hanum Hanum Efta Dhartikasari Priyana Eriska Evadianti Ernawati Ernawati Esti Wulandari Fa'rifah, Riska Yanu Fefy Dita Sari Feni Ira Puspita, Feni Ira Fitria Nur Maghfiroh Fitria Nurul Alfariz Fitriarma Putri Santoso Fittrofin Amalia Farisa Gressa Widha Audrina Hani Khaulasari Hargandi, Priyanka Ratulangi Harmin Sulitiyaning Titah Harun Al Azies Hasbi Yasin Herni Anggi Riski Rahayuning Heru Purwanto I Dewa Ayu Ratih Weda Iswara I Nyoman Latra I Nyoman Latra I Nyoman Latra I Nyoman Latra Ika Wuryanti Febrina Wuryanti Irfan Wahyudi Irhamah - Islamiati, Mawadah Putri Ita Noviana Jatikusuma, Andhika Jauhara Rana Budiani Jerry D. T. Purnomo Lucy Dian Puspitasari Luh Eka Suryani Madu Ratna Mahestri, Alea Erdinna Makkulau Makkulau Makkulau Makkulau Makkulau Makkulau Maudi Pramedia Putri Meylita Sari Muhamad Adryanta Muhammad Luthfi muhammad mashuri Mulyaputri, Rifna Fadhilah Nendy Septi Arniva Ni Putu Lisa Ernawatiningsih Nina Fauziah Rachmah Nindya Kemala Astuti Nur Iriawan Nur Lailiyah Nurina Hayu Ratri Nuroini, Husna Mir'atin Pertiwi, Dhea Mutiara Rahmania Azwarini Rahmawati Erma Standsyah Rahmawati Pane Rahmi Amelia Ratih Kumala Puspa Nusantara Retno Anggarini Rida Dwi Lestari Rizwan Arisandi, Rizwan Royyanah, Atika Nur Ruslan Ruslan Ruslan Santi Wulan Purnami Shofi Andari Shofi Andari Siti Azizah Sony S Sony Sunaryo Sri Nurhatika Sri Pingit W Sri Pingit Wulandari Sri Pingit Wulandari Suhartono Suhartono Suprianto Simanjuntak Susanti Linuwih Susanti Linuwih Susanti Linuwih Susanti Linuwih Susanti Linuwih Sutikno Sutikno Sutikno Sutikno Sutikno Sutikno Sutikno Sutikno Sutikno Sutikno Syarifah Nisrina Hasna Salby Syarifah Nisrina Hasna Salby Theresia Widiastuti Urifah Hidayanti Vergilia Agam Saputri Vita Ratnasari Wibawati Wibawati Yoyok Setyo Hadiwidodo Yurike Septi Angelina Monica Zuzun Miranti