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All Journal Jurnal Matematika: MANTIK Jurnal Pengabdian Masyarakat MIPA dan Pendidikan MIPA J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika JP.JOK (Jurnal Pendidikan Jasmani, Olahraga dan Kesehatan) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika MATHunesa: Jurnal Ilmiah Matematika
A’yunin Sofro
Department Of Actuarial Science, Faculty Of Mathematics And Natural Science, Universitas Negeri Surabaya, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics

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REGRESI ZERO INFLATED POISSON UNTUK PEMODELAN ANGKA POSITIF PENYAKIT MALARIA DI JAWA TIMUR AJENG DIVA APRILIA; A'yunin Sofro
MATHunesa: Jurnal Ilmiah Matematika Vol 11 No 2 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v11n2.p139-146

Abstract

The number of confirmed cases of malaria in East Java from 2020 to 2022 is a count data with numerous zero values and is exhibiting overdispersion. With Zero Inflated Poisson (ZIP) regression, this work seeks to solve the overdispersion issue that plagues Poisson regression. The ZIP model is superior to the Poisson regression model, according to the results. Data modeling with ZIP regression carries out model fit testing with the G test, parameter significance testing with the Wald test, and parameter estimation using Maximum Likelihood Estimation. For case data of malaria positivity, the ZIP regression model in this research is log(????????) = 3,695 + 0,0057X1 − 0,0569X2 − 0,0085X3 − 0,0619X4 + 0,0604X5 − 0,0118X6 − 0,012X8, and logit(????????) = −5,5185 + 0,0039X2 − 0,592X6. The test's findings indicate that factors such as population density, poverty levels, the proportion of households with access to clean water and sanitation, the morbidity rate, the number of medical facilities, the number of health complaints, and the percentage of public spaces that adhere to health standards all significantly influence the number of confirmed cases of malaria in East Java.Keywords: Malaria, excess zeros, overdispersion, Zero Inflated Poisson.
ANALISIS MATEMATIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN MS GLOW Annisa Nur Afifah Kusuma Sayekti; A’yunin Sofro
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.437

Abstract

In this increasingly advanced era, beauty products are increasing. Not only women, men also enjoy the development of this beauty product. One beauty brand that keeps up with current developments is the MS Glow brand. The MS Glow brand not only offers types of skincare that are suitable for men and women. This brand offers skincare that is licensed by BPOM and Halal MUI. Even though this brand is well known to the general public, it is necessary to identify the factors that influence customers' decisions in purchasing MS Glow products. This can help increase the popularity of MS Glow products. The cultural factor used in this research is the attitude of wanting to own what other people have or just following trends in the surrounding area. From this factor it can be concluded that the cultural factor is a "following" trend. Lifestyle factors in this research are defined as observations/interactions of customers who want to buy products. In this modern lifestyle, many customers always want products that are attractive or because of the quality of the product. According to Joesyiana, one of the most effective and efficient ways of marketing goods or services is through the word-of-mouth communication process using online media. With this marketing method, the brand owner gets the advantage that his product is better recognized by the public
ANALISIS MATEMATIS PENGARUH LOKASI RUMAH TERHADAP HARGA JUAL, LUAS RUMAH DAN JUMLAH KAMAR DENGAN MANOVA Annisa Nur Afifah Kusuma Sayekti; A’yunin Sofro; Danang Ariyanto
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.494

Abstract

A house is a building that functions as a residence or residence and a means of family development (Law No. 4 of 1992). Every community needs a house as a necessity. With so many people needing a place to live, house construction often occurs. As time goes by, many houses have been built. From the number of houses, they can be classified into several groups, one of the classifications is based on the location where the house was built. The classification of houses based on the location where the house was built is classified into 3, namely houses in rural areas, urban areas and suburban areas. Based on this classification, data on houses being sold on the kaggle.com website was taken. From this data, the characteristics of the houses in the 3 groups can be described. The characteristics chosen are selling price, house area, and number of bedrooms. Using this data, carry out analysis using the MANOVA method. The aim of this research is to determine the influence between house location and selling price, house area and number of rooms
Co-Authors AFFIATI OKTAVIARINA AJENG DIVA APRILIA Annisa Nur Afifah Kusuma Sayekti Danang Ariyanto Dwi Juniati Faizatin Arofah Hajar Firdaus I Ketut Budayasa Ika Nur Hasanah Ika Nurwanitantya Wardani Isti Dwi Puspitawati MUSTAFA IMAM MAULANA MUSTIKA WIRASTUTI Mutiara Widhika Astuti Syifania Putri