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All Journal TEKNIK J@TI (TEKNIK INDUSTRI) Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Kesehatan Lingkungan indonesia Media Statistika MATEMATIKA SAINS DAN MATEMATIKA JURNAL AKUNTANSI DAN AUDITING Jurnal Ekonomi & Bisnis PNJ (JEKBIS PNJ) Jurnal Inovasi Pendidikan Jurnal Gaussian Diponegoro Journal of Accounting Jurnal Pendidikan Ekonomi (JUPE) SELONDING Indonesian Journal of Conservation Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Jurnal S2 Pendidikan Sains Jurnal Teknik Elektro JAM : Jurnal Aplikasi Manajemen Rekayasa Mesin Jurnal Promosi Pendidikan Ekonomi Indonesian Journal of Tropical and Infectious Disease JURNAL AKUNTANSI UNIVERSITAS JEMBER Semesta Teknika Jurnal Sains dan Inovasi Perikanan/Journal of Fishery and Innovation (JSIPi) Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Economic Education Analysis Journal Jurnal EMT KITA Turbo : Jurnal Program Studi Teknik Mesin JURNAL PENDIDIKAN GLASSER JURNAL EKONOMI PENDIDIKAN DAN KEWIRAUSAHAAN Prosiding Seminar Nasional Sains dan Teknologi Terapan JURNAL PENDIDIKAN TAMBUSAI Adimas : Jurnal Pengabdian Kepada Masyarakat Aquacultura Indonesiana JURNAL AGRI-TEK Procuratio : Jurnal Ilmiah Manajemen Kurs : Jurnal Akuntansi, Kewirausahaan dan Bisnis JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) Jurnal Review Pendidikan dan Pengajaran (JRPP) Social, Humanities, and Educational Studies (SHEs): Conference Series Mudir : Jurnal Manajemen Pendidikan Jurnal Gema Ngabdi Balance Vocation Accounting Journal Instructional Development Journal Economic Education and Entrepreneurship Journal Jurnal Ilmiah Cendekia Eksakta Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP) Jurnal Sistem Komputer & Kecerdasan Buatan JPP (Jurnal Pendidikan dan Pembelajaran) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik Aviasi : Jurnal Ilmiah Kedirgantaraan Community Empowerment Indonesian Journal of Social Research (IJSR) Jurnal Cahaya Mandalika Progress in Social Development Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran International Journal of Health, Economics, and Social Sciences (IJHESS) International Journal of Community Service Interdisciplinary Social Studies Jurnal Pendidikan dan Penciptaan Seni J-KIP (Jurnal Keguruan dan Ilmu Pendidikan) Fruitset Sains : Jurnal Pertanian Agroteknologi Bansi (Jurnal Bisnis Manajemen Akuntansi) KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Manajerial Bisnis Prosiding University Research Colloquium JPMA Seminar Nasional Produk Terapan Unggulan Vokasi Journal of Applied Business and Technology Jurnal Bisnis Event Politeknosain Innovative: Journal Of Social Science Research Reflection: Education and Pedagogical Insights PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING Luxury: Landscape of Business Administration Interconnection: An Economic Perspective Horizon Jurnal Administrasi Profesional AutoMech : Jurnal Teknik Mesin JUDIKAT: Jurnal Pengabdian Kepada Masyarakat Justicia Journal Neraca Manajemen, Akuntansi, dan Ekonomi Jurnal Pengabdian Masyarakat dan Riset Pendidikan PREDATECS: Public Research Journal of Engineering, Data Technology and Computer Science JPAP (Jurnal Praktisi Administrasi Pendidikan) Bina Bahari : Jurnal Pengabdian Kepada Masyarakat eJEBA
Sudarno Sudarno
Jurusan Teknik Lingkungan, Fakultas Teknik, UNDIP, Semarang
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Journal : Jurnal Gaussian

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KETEPATAN KLASIFIKASI PEMBERIAN KARTU KELUARGA SEJAHTERA DI KOTA SEMARANG MENGGUNAKAN METODE REGRESI LOGISTIK BINER DAN METODE CHAID Suhendra, Muhammad Arif; Ispriyanti, Dwi; Sudarno, Sudarno
Jurnal Gaussian Vol 9, No 1 (2020): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (674.181 KB) | DOI: 10.14710/j.gauss.v9i1.27524

Abstract

Menurut BPS, jumlah penduduk miskin di Kota Semarang pada Maret 2018 adalah sebesar 73,65 ribu orang. Salah satu program pemerintah dalam percepatan penanggulangan kemiskinan adalah dengan mengeluarkan Kartu Keluarga Sejahtera (KKS) yang diberikan kepada masyarakat yang kurang mampu. Penelitian ini bertujuan untuk mengetahui besarnya ukuran ketepatan klasifikasi pemberian KKS di Kota Semarang. Metode klasifikasi statistik yang digunakan adalah metode Regresi Logistik Biner dan metode Chi-Squared Automatic Interaction Detection (CHAID). Pemberian KKS dipengaruhi oleh banyak faktor, diantaranya jumlah anggota keluarga, status perkawinan, jenis kelamin kepala keluarga, usia kepala keluarga, jenjang pendidikan kepala keluarga dan kepemilikan/penguasaan HP. Pada penelitian ini, data yang digunakan adalah data sekunder hasil Survey Sosial Ekonomi Nasional (SUSENAS) tahun 2018 yang diperoleh dari Badan Pusat Statistik (BPS) Provinsi Jawa Tengah. Perbandingan data training dan testing yang digunakan adalah 60:40. Hasil analisisnya menunjukkan bahwa dengan menggunakan Regresi Logistik Biner, faktor-faktor yang berpengaruh adalah jumlah anggota keluarga dan jenjang pendidikan kepala keluarga dengan ketepatan klasifikasi sebesar 88% dan kesalahan 12%, sedangkan dengan menggunakan CHAID, faktor-faktor yang berpengaruh adalah jumlah anggota keluarga, status perkawinan, usia kepala keluarga, jenjang pendidikan kepala keluarga dan kepemilikan/penguasaan HP dengan ketepatan klasifikasi sebesar 90,2% dan kesalahan 9,8%.Kata kunci: Kartu Keluarga Sejahtera, Klasifikasi, Regresi Logistik Biner, CHAID
MODERATING STRUCTURAL EQUATION MODELING DENGAN PARTIAL LEAST SQUARE PADA PEMODELAN PENERIMAAN DAN PENGGUNAAN DOMPET DIGITAL DI KOTA SEMARANG Nisa, Mukrimatun; Sudarno, Sudarno; Sugito, Sugito
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.v10i1.30044

Abstract

Digital wallets (e-wallets) are a technology that provides a new perspective for the public on non-cash payments that are far more practical and secure in transactions. The purpose of this study is to determine the factors that influence the success or failure of implementing digital wallets (e-wallets) using the variant-based Structural Equation Modeling method (Partial Least Square). In this decade, an approach has been developed that allows the relationship between an independent variable to the dependent variable which is influenced by other latent variables called Moderating Structural Equation Modeling (MSEM), so this study uses MSEM by measuring it using the ping method. The results of the analysis show that the factors that influence acceptance defined as interest in using the technology are social influences, faciliating conditions and consumer habits. Meanwhile, the factors that influence the use of digital wallets which are defined as usage behavior are interest in use and conditions that facilitate. The use of digital wallets (e-wallets) is also indirectly influenced by social influences, conditions that facilitate and consumer habits. the factor of supporting facilities from the issuer of digital wallets (e-wallets) is a factor that affects directly and indirectly the use of digital wallets (e-wallets). Analysis of Moderating Structural Equation Modeling (MSEM) using the ping method results that experience does not affect the acceptance and use of digital wallets (e-wallets) as moderation Keywords: Acceptance and Use Model, Digital Wallet (E-wallet), Partial Least Square, Moderating Structural Equation Modeling.
ANALISIS KETAHANAN HIDUP PENDERITA DENGUE HEMORRHAGIC FEVER (DEMAM BERDARAH) DENGAN REGRESI COX KEGAGALAN PROPORSIONAL (Studi Kasus : Rumah Sakit Islam Nahdlatul Ulama Demak) Ummayah, Putri Qodar; Sudarno, Sudarno; Warsito, Budi
Jurnal Gaussian Vol 10, No 3 (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.v10i3.32793

Abstract

Dengue hemorrhagic fever is an acute febrile disease caused by the dengue virus, which enters the human bloodstream through the bite of a mosquito of the genus Aedes Aegypti or Aedes Albopictus. Based on World Health Organization (WHO) records, it is estimated that 500,000 dengue hemorrhagic fever patients require hospital treatment every year and most of the sufferers are children. To analyze the relationship between recovery time in dengue fever patients and the factors that influence it using regression analysis, the dependent variable is the failure time and the function of the response variable tends to fail constant so to find out the relationship using Cox proportional hazard regression. Cox proportional hazard regression is a regression model that is often used in survival analysis. Survival analysis is a method used to describe data analysis in terms of time from the time of origin defined until a certain event occurs. In this study, the recovery time of dengue fever patients as a function of failure is proportional. The observations used by the researchers for each patient were not the same. The population of this study were all patients with dengue fever. The data used was obtained from the medical record section for data on the length of hospitalization of patients regarding the recovery of patients with dengue fever. The conclusion of the research shows that the factors that affect the recovery time of dengue fever patients are hematocrit, platelets, immunoglobulin G, and immunoglobulin M. 
PERBANDINGAN MODEL REGRESI STRATIFIED COX DAN EXTENDED COX PADA ANALISIS SURVIVAL PENDERITA KANKER PAYUDARA Samosir, Jessika Aurora; sudarno, sudarno; Maruddani, Di Asih I
Jurnal Gaussian Vol 13, No 1 (2024): 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.13.1.59-69

Abstract

Breast cancer is a tumor that develops in the breast where cells in the mammary gland divide and develop uncontrollably. Breast cancer is the most common cancer that causes death in women among other cancers. This study aims to determine the factors that affect the survival of breast cancer patients from the METABRIC database. This study was analyzed using survival analysis method. The method that is often used is the Cox proportional hazard model where the proportional hazard assumption must be met. There is variable that do not meet the assumption so that the methods used are stratified Cox and extended Cox. The stratified Cox model overcomes variables that do not meet the assumption by stratifying variables that do not meet the assumption. The extended Cox model overcomes variables that do not meet the assumption by interacting the variables with a time function. The time functions used in this study are linear time functions and logarithmic time functions. Based on the smallest AIC value, the best model is the stratified Cox regression model without interaction. Factors that affect the survival of breast cancer patients from the METABRIC database are tumor size, chemotherapy, stage 1, stage 2, and type of surgery.
PERBANDINGAN ANALISIS SURVIVAL MENGGUNAKAN REGRESI COX PROPORTIONAL HAZARD DAN REGRESI WEIBULL PADA PASIEN COVID-19 DI RSUD TAMAN HUSADA BONTANG Damayanti, Sindi; Wuryandari, Triastuti; Sudarno, Sudarno
Jurnal Gaussian Vol 12, No 3 (2023): 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.12.3.453-464

Abstract

COVID-19 is brought on by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) and transmitted to humans through animal. SARS-CoV-2 infection affects patient's metabolism and causes hyperinflammatory. This condition affects individuals with risk factors such as age, gender, diabetes, heart disease, hypertension, Chronic Obstructive Pulmonary Disease (COPD), obesity, and Acute Respiratory Distress Syndrome (ARDS). One approach to figuring out the association between the time of an occurrence and the independent factors is the Cox Proportional Hazard Regression. The Cox PH regression is a semiparametric model because it doesn’t require a specific distribution test. There is a parametric model used in modeling and analyzing failure time data, namely Weibull regression. The case study is patients with COVID-19 at Taman Husada Bontang Regional Public Hospital who underwent hospitalization from August 2021 to September 2021 data. Based on the Cox PH Regression and Weibull Regression models, variables that affect the survival time of COVID-19 patients are heart disease and ARDS. The AIC value obtained using the Cox Proportional Hazard regression is 635.6149, this value is smaller than the Weibull regression which is 745.5509 so the use of survival analysis with the Cox Proportional Hazard regression is better than the Weibull regression in this case.
PEMODELAN ANTAR VARIABEL EKONOMI SECARA SIMULTAN MENGGUNAKAN PENDEKATAN VECTOR ERROR CORRECTION MODEL (VECM) Halim, Rossa Fitria; Sudarno, Sudarno; Tarno, Tarno
Jurnal Gaussian Vol 12, No 3 (2023): 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.12.3.414-424

Abstract

The movement of the Jakarta Composite Index (IHSG) is influenced by internal factors such as inflation, the BI Rate, exchange rate, and external factors consisting of world gold prices and world crude oil prices. The six economic variables have a relationship simultaneously. Vector Error Correction Model (VECM) is a Vector Autoregressive (VAR) which has non-stationary but has a long-term cointegration. The purpose of this study is to analyze the cointegration among economic variables and determine the model of economic variables. Data for the variables is monthly data for the period January 2012 to December 2021 which has fulfilled stationarity at first level of difference. The optimum lag chosen is lag 1 so that the model to be used is VECM(1) and the resulting VAR system has less than one modulus for the VAR to be stable. Johansen's cointegration test yielded 5 cointegrations, so each short-term period adjusts simultaneously and tends to adjust with each other to achieve long-term equilibrium. The Mean Absolute Percentage Error (MAPE) value in the evaluation of model accuracy ranges below 10%, so the model’s performance is very good.
Co-Authors A.A. Ketut Agung Cahyawan W Abdul Hoyi Abdullah Abdullah Abu Khalid Rivai Achmad Tavip Junaedi Achmad, Nanang Suffiandi Adelia, Qaula Adi Mustiko, Vijay Adipradana, Arrizka Yanuar Agil, Muhammad Thoriq Agung Sugeng Widodo Agus Rusgiyono Agus Setyawan Agus Subagio Agustina, Silva Nasriati Ahmad Mustafa Akhmad, Nanang Suffiadi Al Hakim, Faris Helmi Alan Prahutama Albert, Albert Setiawan Harijanto Ali Selamat Amirudin Amirudin Amries Rusli Tanjung Anantyo, Natanael Raka Andi Andi Andriani, Farida Angelina, Dian Anggraini, Asterina Anisa Alfiani Rahayu Arami, Hasnia Arami, Hasnia Arif Sudarmanto, Arif Ariffandita Nuri Muttaqin Arifin, Rizal Aripianti, Faridha Ariyanto Wibowo, Ariyanto Armyati, Eky Ocviana Asismarta Asismarta, Asismarta Asriyana, . Aulia, Ananda Putri Azaria, Candra Aziz Nur Bambang Bambang Hermanto Budi Harsanto, Aris Budi Prasetyo Samadikun Budi Warsito Budiyono Budiyono Cahyono, Agung Dwi Dadtun, Yusana Sasanti Damayanti, Sindi Darmarastri, Hayu Adi Desriyanti, Desriyanti Dewanti, Shendy Dewi Kusuma Wardani Dewi Setya Kusumawardani Dewi, Miranda Chintya Di Asih I Maruddani Diah Safitri Dian Kusuma Didik Purwadi Dini Octoria Disnawati Disnawati, Disnawati Djalal Er Riyanto Djuni Akbar Dua, Iyam L. Dwars Soukotta Dwi Ispriyanti Dwi Wulandari Eko Rohmadi, Yusuf Elen Dwi Pradewi Endina Sulistiarini Erniyawati Mustaqomah, Erniyawati Eva Zulfa Fadelan Fadelan, Fadelan Fanniya Dyah Prameswari Fatan, Mohd. Adzka Ferhat Aziz Ferry Hermawan Findra, Muhammad Nur Fitri Risalawati Fitri, Septi Bunal Hadiyanto Hadiyanto Hafniza Amir Halim, Rossa Fitria Hamdani Abdulgani, Hamdani Hamzah Hamzah Handayani, Agista Hanif, Eva Amalia Hanifa, Elisya Fachriana Hanny Hafiar Hantarum, Hantarum Hari Suprapto Harrison, Edward Harry Patuan Panjaitan Haryawan, Agus Haryono S. Huboyo, Haryono S. Hasbi Yasin Hasuba, Tezza Fauzan Hery Teguh Setiawan Hesti Sari Dewi Hosang, Djefry P Hughes, Amy Hutahuruk, Marice Br I Gusti Ngurah Antaryama Imam Buchori INDRAYANI INDRAYANI Indri Yovita Irsan, La Ode Muhammad Ita Tetriana Agustini Jatmiko Endro Suseno Johari, Norhasnidawani Joko Nugroho, Kurniawan Joko Triono Judisseno, Rimsky K. 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Pariakan, Arman Permatahati, Yustika Intan Polii, Ivonne Pramesti, Ajeng Lakshita Pramestiara Dewiga, Pramestiara Prasetyo, Indra Prastya, Anggit Maulana Pratama, Angga Yoga Prayetno, Muhammad Pringgo Priyanto, Asep Priyono Priyono Priyono Priyono Priyono Purwanto Purwanto Purwati, Astri Ayu Puspita, Dewi Ayu Putri, Novita Yulia Rachmawati, Febriyani Fitri Rahayu, Winarni Rahmaddian Primasari Rahman, Sarli Raihan, Muhammad Ramadan, Bimastyaji Surya Ramadhan, Syahdan Sandhika Ramatulloh, Arya Eka Rangkang, Jeanely Ratih Nurmalasari, Ratih Redemtus Heru Tjahjana Regita, Vivian Riana Ayu Andam Pradewi Ririn Sulpiani Risfandi Riskon Ginting Rivai, Afrah Hapsari Riyanto, Irfan Yopi Riza Fatoni Hidayat Rossi Prabowo Rukun Santoso Rupaka, Anggun Prima Gilang Salman Alfarisy Totalia Salsabela, Mita Samosir, Jessika Aurora Saputra, Bagos Aji Saputra, Restu Jati Saputra, Yose Saputri, Sinar Arya Sardjono, Aryapandu Zikri Sarifah Sarifah Sariffudin, Mochammad Sarwanto Sarwanto Satriyo Adhy Schmidt, Matthias Sebtiyani, Ervin Indrias Selvi Marcellia Sendi Ramdhani Seno Aji Setiani, Eri Setiyo Daru Cahyono Setyowibowo, Fery Sevendy, Tandy Sidqon, Mochamad Sirun, Artian Siswanto, Romi Slamet Wahyudi Slat, Ventje B Smith, Harry Sri Hartini Sri Hutami Sri Sumiyati Suasti Aswan Sudenroy Mentang Sudjito Soeparman Sugito - Sugiyanto, Shabrina Mitsalina Suhardjo Suhardjo Suhardjo Suharyana Suharyana Suhendra, Muhammad Arif Sulmartiwi, L. 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