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All Journal Madani: Multidisciplinary Scientific Journal
Simanullang, Junitro Andreas
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Pengaruh Kenyamanan, Kesulitan, dan Persepsi Terhadap Penggunaan Bahasa Baku pada Mahasiswa Statistika Universitas Negeri Medan Simamora, Tabita Paulina; Ingrid, Antonia; Simanullang, Junitro Andreas; Septianingtias, Indri Avisa; Damanik, Ayu Lestari; Dalimunthe, Syairal Fahmy
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 2 (2025): March
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15075343

Abstract

Standard language is a variety of language that is accepted for use in official or formal situations. Standard language is the standard of communication used in the academic and professional world. Its use is important to ensure that the message conveyed is clear, formal, and in accordance with linguistic rules. However, in everyday life, students tend to use non-standard language more often in informal conversations, academic assignments, and discussions on campus. This study uses a quantitative approach with descriptive and inferential analysis methods to determine the effect of comfort, difficulty, and perception of the importance of standard language on the frequency of its use among Statistics students at Medan State University. Data were obtained by distributing questionnaires to 50 Statistics students selected using simple random sampling techniques. This study aims to analyze the frequency of use of standard language among Statistics students at UNIMED and to see the effect of comfort, difficulty, and perception on its use. The results of the analysis show that the majority of students use standard language in the categories "Sometimes" to "Often", with male students tending to use it more often than female students.
Analisis Spasial Persebaran COVID-19 di Indonesia Menggunakan Metode K-Means Clustering dan ESD Mario, Christoffel; Siahaan, Linda Natasya; Simanullang, Junitro Andreas; Simamora, Tabita Paulina
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 3 (2025): April 2025
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15276145

Abstract

The COVID-19 pandemic, which began in March 2020, has had a significant impact on public health in Indonesia. Although case numbers have started to decline, understanding the spatial spread of the virus remains crucial for effective response efforts. Conventional analyses that rely solely on descriptive statistics often overlook spatial relationships between regions. This study combines Exploratory Spatial Data Analysis (ESDA) and K-Means Clustering to examine the spatial distribution of COVID-19 cases and group Indonesian provinces based on the number of cases, recovery rates, and mortality rates. The data used include Indonesias provincial shapefiles from GADM and COVID-19 case data from Data Wrapper. The analysis reveals three main clusters. Cluster one includes DKI Jakarta, West Java, and Central Java, characterized by high case numbers and mortality rates, with below-average recovery rates. Cluster two consists of East Java, North Sumatra, and South Sulawesi, with relatively low case numbers, very low recovery rates, and high mortality rates. Cluster three comprises 26 other provinces with lower case numbers, high recovery rates, and low mortality rates. These findings indicate that COVID-19 transmission in Indonesia is not spatially uniform, highlighting the need for targeted intervention in high-risk areas.
Co-Authors Damanik, Ayu Lestari Ingrid, Antonia Mario, Christoffel Septianingtias, Indri Avisa Siahaan, Linda Natasya Simamora, Tabita Paulina Syairal Fahmy Dalimunthe