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All Journal Unisda Journal of Mathematics and Computer Science (UJMC) J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Majalah Ekonomi Wahana : Tridarma Perguruan Tinggi Cakrawala: Jurnal Litbang Kebijakan Mathvision : Jurnal Matematika wacana equiliberium (jurnal pemikiran penelitian ekonomi) Jurnal Visi Pengabdian Kepada Masyarakat Stigma : Jurnal Matematika dan Ilmu Pengetahuan Alam Unipa MANGGALI Kanigara Indonesian Journal of Statistics and Its Applications
pramesti, wara
Universitas PGRI Adi Buana
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Pengukuran Survei Kepuasan Masyarakat (SKM) Dalam Pelayanan Publik Di Desa Masaran Kabupaten Sumenep Wibisono, Aryo; Purnamasari, Mita; Suharsono, Agus; Pramesti, Wara
Wacana Equiliberium (Jurnal Pemikiran Penelitian Ekonomi) Vol 10 No 02 (2022): Wacana Equiliberium (Jurnal Pemikiran Penelitian Ekonomi) : Desember 2022
Publisher : Unversitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/equilibrium.10.02.13-24

Abstract

This study aims to determine the perception and satisfaction of the community in public services in the village of Masaran, Sumenep district through the measurement of the Community Satisfaction Survey in terms of administrative services. The method used in this research is descriptive quantitative analysis using the Community Satisfaction Survey (SKM) based on the Regulation of the Minister of Administrative Reform and Bureaucratic Reform of the Republic of Indonesia No. 14 of 2017. This research was carried out in the village of Masaran, Sumenep Regency with a total of 100 respondents using a non-probability sampling technique with purposive sampling type. The data collected was carried out using a questionnaire or questionnaire method. The results of the study show that overall the services provided by the village of Masaran, Sumenep Regency are in the "Good" category with an SKM value of 3.42 and an SKM conversion value of 85.50. The steps taken by the village head in improving the quality of public services in the village of Masaran, Sumenep district are the first to pay attention to the dimensions of service quality and the second is to improve the quality of human resources.
PEMODELAN GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) PADA PERSENTASE KRIMINALITAS DI PROVINSI JAWA TIMUR TAHUN 2017 Yusuf, Dessy Wulandari Syahputri; Hermanto, Elvira Mustikawati Putri; Pramesti, Wara
Indonesian Journal of Statistics and Applications Vol 4 No 1 (2020)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v4i1.557

Abstract

Crime is everything that exists in Indonesia. Based on BPS data in 2018, East Java Province ranks first in the Province of North Sumatra and the Special Capital Region of Jakarta. This research was conducted to determine the factors that support crime in each Regency / City of East Java Province. The method used in this research is Weighted Geographic Regression (GWR). Geographically Weighted Regression (GWR) is one of the statistical methods used to model variable responses with regional or area-based predictor variables. Based on the GWR results, it is recognized as a variable Population Density Percentage (X1), Open Unemployment Rate (X2), Poor Population (X3), Population who are Victims of Drug Abuse (X4), Human Development Index (X5), and Married Human Population (X6) ) importance in the city of Surabaya. The coefficient of determination (R2) and AIC from GWR is better than the OLS model. This refers to the optimal R2 and AIC values ​​of 91.40% and 129.293.
PENGGUNAAN ANALISIS KLASTER K-MEANS DALAM PEMODELAN REGRESI SPASIAL PADA KASUS TUBERKULOSIS DI JAWA TIMUR TAHUN 2017 Rizky, Hardani Prisma; Pramesti, Wara; Anuraga, Gangga
Indonesian Journal of Statistics and Applications Vol 4 No 1 (2020)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v4i1.563

Abstract

Tuberculosis (TB) is a contagious infectious disease caused by the bacterium Mycobacterium tuberculosis which can attack various organs, especially the lungs. TB if left untreated or incomplete treatment can cause dangerous complications to death. East Java Province has the second-highest TB case after West Java Province. Therefore we need statistical modeling to analyze the factors that influence TB in East Java Province. The data used in this study were sourced from data from BPS and East Java Provincial Health Offices in 38 districts/cities in East Java Province in 2017. Analysis of data using the OLS regression approach only looked at variable factors but was unable to know the effects of territory. So to overcome this, a spatial regression approach is used by comparing the weight of Queen Contiguity and the results of the k-means cluster analysis to obtain the best model. Based on the results of the analysis, the spatial aspects of the data have met the assumptions of spatial dependencies using the Moran's I test with a p-value of 0.000001295. The weighting matrix used is the k-means cluster weighting matrix k = 2. The test results obtained by the Spatial Autoregressive Moving Average (SARMA) model selected as the best model with the value of the deterrence coefficient (R2) and Akaike Info Criterion (AIC), 87.10% and 586.69. The factors that significantly influence the number of Tuberculosis patients in each district/city in East Java are population density (X2) and the number of healthy houses (X9).
Co-Authors Adyria Fitriana Adyria Fitriana Agus Suharsono Alfisyahrina Hapsery Anandyani, Aliffia Rahma Aryo Wibisono Canta, Himawan Widia Elvira Mustikawati P.H Elvira Mustikawati Putri Hermanto Findiariska, Yasmin Fitriani, Fenny Gangga Anuraga Hamidah, Wanda Nur IKA DAMAYANTI Ina, Sesilia Lusyanti Gili, Ireni Martha Suhardiyah Muhammad Athoillah, Muhammad Munadhiroh, Siti Purnamasari, Mita Raja Jusmartinah Rifatin, Laely Rizky, Hardani Prisma Rozikin, Muhammad Ricky Ulul Azmi Uly Aldini Uly Aldini Yusuf, Dessy Wulandari Syahputri zelia felicia caryalho