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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Journal of Innovation and Applied Technology Jurnal Penelitian Pendidikan IPA (JPPIPA)
Suci Astutik
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Materials Science & Nanotechnology Mathematics Physics

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Fuzzy Sugeno Method for Opinion Classification Regarding Policy of PPKM and Covid-19 Vaccination Djihan Wahyuni; Eni Sumarminingsih; Suci Astutik
Jurnal Penelitian Pendidikan IPA Vol. 8 No. 5 (2022): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v8i5.1958

Abstract

The Indonesian government has implemented various interventions to overcome the impact of the Covid-19 pandemic, including those written in Minister of Home Affairs Instructions on PPKM (Community Activities Restrictions Enforcement) and Covid-19 vaccination policies. This policy are not at least reaping the pros and cons, so it is necessary to monitor public opinion to be able to provide solutions or become an evaluation of future policies. The aim of this study is to determine the polarity of public opinion regarding PPKM and Covid-19 vaccinations policies on Twitter, as well as to determine the implementation of FIS Sugeno in classifying textual data. There are several stages carried out, i.e. data collection, data pre-processing, data labeling, data weighting, identification of membership functions, determination of fuzzy sets, formation of a classification system, and evaluation of classification results. In this study, the performance of FIS Sugeno in classifying tweets was quite good with an average accuracy of 89.13%. Meanwhile, public opinion regarding the PPKM and Covid-19 vaccination policies tends to be balanced with 36.92% of tweets classified as a positive sentiments, 22.85% being negative sentiments, and another 40.23% belonging to neutral sentiments.
Bahasa Indonesia Bahasa Inggris: Bahasa Indonesia Elok Pratiwi; Henny Pramoedyo; Suci Astutik; Fahimah Fauwziyah
Jurnal Matematika, Statistika dan Komputasi Vol. 19 No. 1 (2022): SEPTEMBER, 2022
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v19i1.21757

Abstract

Discrete data on the response variable can be analyzed using poisson regression. The assumption of equidispersion in poisson regression must be fulfilled, but in practice there are many problems of overdispersion. The negative binomial regression model is used to overcome the problem of overdispersion, but this model is global while in some cases each location has different characteristics. Therefore, a method that considers the effects of spatial heterogeneity is needed. If the response variable is discrete data that is overdispersed and includes spatial effects, a model called Geographically Weighted Negative Binomial Regression (GWNBR) is developed. The GWNBR method can be applied in the health sector, such as in stunting. The prevalence of stunting in Malang Regency is still quite high, there is 25.7%. By conducting the GWNBR test, 385 models were obtained, one of them is Tulungrejo Village with factors influencing the incidence of stunting, namely access to permanent healthy latrines, access to posyandu, exclusive breastfeeding, population density and community empowerment. From three weights used, namely the Adaptive Gaussian Kernel, Adaptive Bisquare Kernel and Adaptive Tricube Kernel, the best model was obtained from the Adaptive Bisquare Kernel weighting with the smallest AIC is -211.3763.
Exploratory Spatial Data Analysis Using Geoda for Regional Apparatus in Malang Regency Suci Astutik; Maria Bernadetha Theresia Mitakda; Darmanto Darmanto; Wulaida Rizky Fitrilia; Ismi Chai Runnisa; Diego Irsandy; Nisa Dwirahma Widhiasih
Journal of Innovation and Applied Technology Vol 9, No 1 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiat.2023.009.01.10

Abstract

The Malang Regency Communication and Information Office (Diskominfo) since 2019 has published the Malang Regency One Data book. Some KMSD data contain location information which is referred to as spatial data. The Malang Regency Communication and Information Office (Diskominfo) since 2019 has published the Malang Regency One Data book. Some KMSD data contain location information which is referred to as spatial data. However, the problem faced by Diskominfo is the limited Human Resources both Diskominfo and data producers (OPD) in exploring sectoral data involving spatial data and presenting it in a map. The purpose of this activity is to provide training in exploratory spatial data analysis for OPD to improve sectoral data processing capabilities, especially those containing spatial information. The training was conducted through the provision of materials and discussions on exploratory spatial data analysis and its application using the Geoda software. 
Co-Authors Darmanto Darmanto Diego Irsandy Djihan Wahyuni Elok Pratiwi Fahimah Fauwziyah Henny Pramoedyo Ismi Chai Runnisa Nisa Dwirahma Widhiasih Sumarminingsih, Eni Theresia Mitakda, Maria Bernadetha Wulaida Rizky Fitrilia