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All Journal JURNAL INOVASI PENDIDIKAN DAN PEMBELAJARAN SEKOLAH DASAR Jurnal Pendidikan dan Konseling Jurnal Halaqah Didaktik : Jurnal Ilmiah PGSD STKIP Subang Jurnal Ecogen Jurnal Manajemen dan Ilmu Administrasi Publik (JMIAP) Prosiding Seminar Nasional Pendidikan, Bahasa, Sastra, Seni, dan Budaya UNP Journal of Statistics and Data Science Symbiotic: Journal of Biological Education and Science Jurnal Edukasi dan Penelitian Matematika Jurnal ISO: Jurnal Ilmu Sosial, Politik dan Humaniora
Sri Wahyuni
Universitas Negeri Padang
Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Pengaruh Media Sosial terhadap Partisipasi Politik Kaum Perempuan dalam Pemilihan Umum Presiden dan Wakil Presiden 2024 di Kab. Solok Sri Wahyuni; M. Fachri Adnan
Jurnal ISO: Jurnal Ilmu Sosial, Politik dan Humaniora Vol. 4 No. 2 (2024): December
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/iso.v4i2.1927

Abstract

Penelitian ini dilakukan berdasarkan peningkatan jumlah penggunaan media sosial dalam konteks politik terutama pada saat pemilihan umum, sehingga media sosial dijadikan sebagai sarana dalam berkampanye baik oleh kandidat, partai politik, tetapi juga oleh para pendukung, simpatisan, dan relawan. Namun dengan begitu Media sosial mengandung sebagian berita yang tidak dapat dipertanggung jawabkan, bahkan beberapa di antaranya adalah hoaks, yang dapat menyebar dengan cepat dan memiliki konsekuensi politik lainnya. Penelitian bertujuan untuk mengetahui pengaruh antara media sosial dengan partisipasi politik kaum perempuan dalam pemilihan Presiden dan wakil Presiden 2024 terutama di kab.solok. Penelitian ini menggunakan metode kuantitatif deskriptif, dan berlokasi di kabupaten Solok. Populasi penelitian adalah kaum Perempuan berusia rentang 17-40 tahun, dengan sampel sejumlah 150 responden, dan dipilih dengan teknik Multistage Random Sampling. Data diperoleh melalui penyebaran angket atau kuisioner, kemudian dianalisis menggunakan statistic deskriptif dan dilakukan uji regresi linear. Hasil penelitian (1) WhatsApp memiliki dampak yang baik dan substansial terhadap keterlibatan politik perempuan pada Pemilu presiden dan wakil presiden tahun 2024 di Kab. Solok, dibuktikan dengan nilai Adjusted R Square sebanyak 53,2%. (2) Instagram memberikan dampak yang baik dan substansial, dibuktikan dengan nilai Adjusted R Square sebesar 61,2%. (3) TikTok memberikan pengaruh yang baik dan substansial, dibuktikan dengan nilai Adjusted R Square yaitu 50,8%. (4) Platform media sosial (WhatsApp, Instagram, dan TikTok) memberikan dampak yang baik dan substansial, dibuktikan dengan nilai Adjusted R Square sebesar 68,6%.
Mapping Anxiety, Developing Solutions: A Statistical Study of Student Anxiety Using The K-Modes Clustering Method Fadhilah Fitri; Fitri Mudia Sari; Fauziah Taslim; Sri Wahyuni
UNP Journal of Statistics and Data Science Vol. 4 No. 2 (2026): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol4-iss2/491

Abstract

Statistics anxiety is a common issue among university students that can negatively affect their learning process and academic performance. This study aims to identify patterns of statistics anxiety among undergraduate students at Universitas Negeri Padang using the Statistics Anxiety Rating Scale (STARS), which consists of six dimensions. A total of 479 valid responses were analyzed using the k-modes clustering method, which is appropriate for categorical data. The optimal number of clusters was determined using the elbow and silhouette methods, resulting in three clusters. The clustering results reveal three distinct groups of students characterized by high, moderate, and low levels of statistics anxiety. The average silhouette value of 0.52 indicates a moderately well-defined cluster structure. Further analysis shows that each cluster exhibits different patterns across the six anxiety dimensions, highlighting the heterogeneity of students’ responses to statistics. These findings suggest that clustering provides a more informative approach than conventional descriptive analysis in understanding statistics anxiety. The results of this study can serve as a basis for developing targeted strategies to reduce student anxiety in statistics learning
Survival Analysis of Heart Failure Patients Using the Cox Proportional Hazard Model and Weibull Regression Rahmika Alya; Tessy Octavia Mukhti; Sri Wahyuni; Bunga Miftahul Barokah; Azizah Apriyerni
UNP Journal of Statistics and Data Science Vol. 3 No. 2 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss2/351

Abstract

Cardiovascular disesase is the leading cause of death globally, claiming around 17,9 million lives each year, accounting for 31% of all deaths worldwide. Hearth failure is a common event caused by cardiovascular disease. Hearth failure is one of the principal health issues with excessive mortality and morbidity costs. Heart failure is the main reason of mortality worldwide. This take a look ambitions to analyze the factors influencing the survival of heart failure patients using the Cox proportional hazard Cox (PH) model and the Weibull regression. The main purpose of this study is to provide information on the causes of heart failure deaths and what effects occur when having heart disease. It is hoped that the results of this study can provide the general public to be more careful in order to prevent heart failure disease. The data used are secondary data from Kaggle consisting of 299 patients with the variables anemia, diabetes, hypertension, gender and smoking status. The analysis showed that only hypertension significantly increased the risk of events in both models, whereas other variables were not statistically significant. The selection of the best model is based on the assumptions of proportional hazard, flexibility, and Akaike information criterion (AIC) values. The Cox-PH model was chosen as the model of choice because it is more flexible and does not require certain fundamental assumptions regarding risk distribution. This study provides important insight into the risk factors that influence the prognosis of heart failure patients.
Logit And Complementary Log-Log Modeling (Case Study: Factors Influencing Birth Control Use in Papua 2017) Riza Sasmita; Yenni Kurniawati; Sri Wahyuni; Celsy Aprotama
UNP Journal of Statistics and Data Science Vol. 3 No. 2 (2025): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol3-iss2/358

Abstract

Research was conducted to determine the factors that influence the use of family planning in Papua Province in 2017. Indonesia has the 4th largest total population in the world, facing the challenge of a fairly high and uncontrolled population growth rate, which can have an impact on the welfare of the community, especially Papua Province. This study used secondary data from the 2017 SDKI. The population of this study was all women of childbearing age in the province of Papua. The research was conducted using logit logistic regression and cloglog logistic regression methods and took the best model to analyze the factors affecting family planning use in Papua Province. The results showed that the cloglog logistic regression model proved to be the best model based on AIC and accuracy. The accuracy of this cloglog logistic regression model is 78.54%. With the results of the cloglog logistic regression analysis, it was found that there was a relationship between region of residence, husband's education, and wife's education. The odds of a woman who has a husband with more than a junior high school education having an unmet need for family planning is 1.688 times higher than a woman who has a husband with less than a junior high school education. The odds of a woman with a junior high school education or above having an unmet need for family planning is 0.496 times higher than a woman with less than a junior high school education.
Co-Authors Abdul Razak Afriva Khaidir Aviani, Yolivia Irna Azizah Apriyerni Bunga Miftahul Barokah Celsy Aprotama Desriyandri Desriyandri Desyandri Desyandri Dian Intan Rahmadhani Fadhilah Fitri Farida Mayar Fauziah Taslim Fitri Arsih Fitri Mudia Sari Fitria, Yanti Indah Felicia Putri Irda Murni Kurnia Wulansari M. Fachri Adnan Nanda Nofirza Nevi Yarni Nur Aisyah Putri Prima Aulia Primanita, Yanna Rahmika Alya Reinita Reinita Riza Sasmita Syamsir Syamsir Tessy Octavia Mukhti Tri Kurniawati Wulan Insan Kamillia Yeni Erita Yuninda Tria Ningsih