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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Kanal : Jurnal Ilmu Komunikasi Journal Orthopaedi and Traumatology Surabaya (JOINTS)
Abdul Aziz
Pascasarjana Prodi Media Dan Komunikasi Fakultas Ilmu Sosial Politik (FISIP) Universitas Airlangga (Unair) Surabaya
Health Professions Mathematics Medicine & Pharmacology Social Sciences

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Pemberitaan Media Tentang Transgender Perempuan di Madura Abdul Aziz; Mohammad Wardi
Kanal: Jurnal Ilmu Komunikasi Vol 7 No 1 (2018): September
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/kanal.v6i2.94

Abstract

This study focuses on the news about the existence of female transgender (transpuan) on the island of Madura, the news about transpuan Madura in different media, namely merdeka.com, okezone.com, suarajatimpost.com and suarapamekasan.com. The research method used in this research is the method of literature research, literature study on research dominated by non-field data collection. The results show first, the existence of transpuan in Madura in the public sphere is no longer seen as a marginal group. Secondly, Journalists from a number of media in charge of coverage in Madura, able to present objective values about the role of transpuan in the public sphere. Third, transpuan that was appointed to civil servants gives a picture to the public that gender is not a fundamental issue for the Maduranes as a minority and marginal groups that are considered outside the line of reasonableness.
THE CHARACTERISTIC OF PATIENTS WITH FEMORAL FRACTURE IN DEPARTMENT OF ORTHOPAEDIC AND TRAUMATOLOGY RSUD DR. SOETOMO SURABAYA 2013 – 2016 Riswanda Noorisa; Dwi Apriliwati; Abdul Aziz; Sulis Bayusentono
Journal Orthopaedi and Traumatology Surabaya Vol. 6 No. 1 (2017): April 2017
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/joints.v6i1.2017.1-11

Abstract

Fracture is a neuromuscular damage due to tissue trauma or discontinue of bones. Fractures of the lower limbs due to accidents have the highest prevalence among other fractures in Indonesia. The aim of this study is to determine the characteristic of patients with femoral fracture in Department of Orthopedic RSUD Dr. Soetomo Surabaya.This research is retrospective observational. We analyzed medical records of all stay in patient in Department of Traumatic and Orthopedic RSUD Dr. Soetomo Surabaya during 1 January 2013 – 31 December 2016.  Of the 972 enumerated, 112 subjects with femoral fracture were analyzed for study. The observed variable of patients' profile include: sex, age, cause of fracture, type of wound, location of fracture, place of accident, time of accident.Our observational study during three years has concluded several findings as following. The most common cases of fracture is occurred at the age 15 – 24 with 40 cases (36%). Most of the cases is dominated by male gender (72%). Traffic accident (92%) is the major cause of fracture, which mostly occurred on the street (92%) at 06:01 A.M. until 12:00 A.M (28%). Closed wound (71%) is commonly found in femoral fracture. The most common type of femoral fracture has a closed wound (71%) and located in column of femur (46%). The most common cases of femoral fracture are occurred on male at the productive age due to traffic accident injury.
Local Polynomial Estimator in The Nonparametric Model of Inflation in Indonesia Abdul Aziz; Nur Chamidah; Toha Saifudin
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 1 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i1.27625

Abstract

Inflation is a general and continuous increase in prices of goods and services over a certain period.  Nonparametric regression analysis can be used to model inflation data that does not form a particular pattern. This study applies a local polynomial nonparametric method to model the rate of change rate in the inflation over a period considering two factors influencing inflation: the rate of change in the BI interest rate and the rate of change rate in the money supply from the previous period. The bivariate local polynomial method estimates the nonparametric regression function by considering the optimum Gaussian kernel bandwidth and polynomial order using the Taylor series expansion and WLS estimator. The optimal local polynomial nonparametric regression model was obtained based on a minimum GCV value of  0.015108 with two optimum Gaussian kernel bandwidth values of 0.1 and 0.03 in polynomial order of 1. The best model had a MAPE value of 3.45%, showing that all the prediction models were highly accurate. The benefits gained are additional information and consideration for determining monetary policy, especially inflation in Indonesia, by determining the BI interest rate and money supply.
Co-Authors Dwi Apriliwati Moh. Wardi Nur Chamidah Riswanda Noorisa Sulis Bayusentono Toha Saifudin