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All Journal Eksponensial Computer & Science Industrial Engineering Journal
Utami, Riska Putri
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Other

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Pengujian Hipotesis Parameter Model Mixed Geographically Weighted Regression Data Indeks Pembangunan Manusia di Kalimantan Tahun 2016 Utami, Riska Putri; Suyitno, Suyitno; Hayati, Memi Nor
EKSPONENSIAL Vol. 11 No. 1 (2020)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.592 KB) | DOI: 10.30872/eksponensial.v11i1.640

Abstract

Mixed Geographically Weighted Regression (MGWR) model is a Geographically Weighted Regression (GWR) model with some parameters are global (have the same value) and several other parameters are local (have different values) for each observation location. The purpose of this study is to obtain a MGWR model on the Human Development Index (HDI) data and find out the factors that influence the HDI of each district (city) in the provinces of East Kalimantan, Central Kalimantan and South Kalimantan in 2016. The parameter estimation method is carried out through two stages (backshift), namely local parameter estimation by using the Weighted Least Square (WLS) method and global parameter estimation by using the Ordinary Least Square (OLS) method. Spatial weighting on local parameter estimation is obtained by using an adaptive Bisquare weighting functions, where optimum bandwidth determination uses Generalized Cross-Validation (GCV) criterion. Based on the result of MGWR parameter testing, it was concluded that the school enrollment rates (SMP) affected the HDI of all districts (cities) in East Kalimantan, Central Kalimantan and South Kalimantan, while the population density affects the HDI only in a few districts (cities), namely East Kutai, Balikpapan, Samarinda and Bontang.
ANALISIS PENENTUAN KRITERIA SENTRA OLEH-OLEH KHAS BATAM Utami, Riska Putri; Fajrah, Nofriani
Computer Science and Industrial Engineering Vol 5 No 1 (2021): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

The purpose of this study is to analyze the priority criteria in a Batam souvenir center, as a consideration in building a business in the tourism sector, especially in determining the location to be a center for selling souvenirs of Batam. The method used is QFD (Quality Function Deployment) by analyzing VoC data that has been obtained. The sample selection used a simple random sampling technique by Slovin formula. The results obtained that criteria for souvenir center have the highest priority are having a beautiful and attractive appearance and the availability of COVID-19 sterilization disinfectant room at the entrance of the center with a value of 4.52. The criteria for lowest priority are regional special performances with an importance value of 3.86, the technical response with the highest priority is located on the edge of the main road, with a Technical Importance Rating value of 239.2, an Absolute Importance value of 173.9, and the Relative Importance value is 10.18%. The lowest priority falls on the criteria for providing a special chamber or room for disinfectants and temperature checking equipment, with a Technical Importance Rating value of 55.9, an Absolute Importance value of 40.7, and its Relative Importance value is 2.38%.
Co-Authors Memi Nor Hayati Nofriani Fajrah, Nofriani Suyitno Suyitno