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Ayu Andira
Universitas Asahan
Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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ANALISIS TINGKAT KEPARAHAN COVID-19 DI SUATU NEGARA MENGGUNAKAN METODE K-MEDOID CLUSTERING Syahputri Amelia; Eldo Yusri; Bambang Irwansyah; Ayu Andira; Muhammad Sukri; Muhammad Fauzan Yafi; Muhammad Affandi
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5787

Abstract

Abstract: This study aims to classify the severity of COVID-19 cases based on patient and region data using the K-Medoid Clustering method. COVID-19 has varying degrees of symptom severity, requiring cluster analysis to identify severity patterns to support decision-making in healthcare resource allocation and policy formulation. The data used included the number of positive cases, recovered cases, deaths, the average age of patients, and comorbidity levels. The results showed that the K-Medoid method was able to effectively cluster the data. In the raw dataset, the percentage of patients not infected with COVID-19 was 62.62%, while the percentage of infected patients was 37.38%. Based on sample characteristics, non-obese patients accounted for 74.54%, obese patients 25.46%, and patients with a combination of obesity and cardiovascular disease 0.57%. Keywords: Covid-19, Severity, K-Medoid Clustering, Data Mining Abstrak: Penelitian ini bertujuan untuk mengelompokkan tingkat keparahan kasus COVID-19 berdasarkan data pasien dan wilayah menggunakan metode K-Medoid Clustering. COVID-19 memiliki variasi tingkat keparahan gejala, sehingga diperlukan analisis klaster untuk mengidentifikasi pola keparahan yang mendukung pengambilan keputusan dalam alokasi sumber daya kesehatan dan perumusan kebijakan. Data yang digunakan meliputi jumlah kasus positif, kasus sembuh, kasus meninggal, usia rata-rata pasien, serta tingkat komorbiditas. Hasil penelitian menunjukkan bahwa metode K-Medoid mampu melakukan pengelompokan data secara efektif. Pada dataset mentah, persentase pasien tidak terjangkit COVID-19 sebesar 62,62%, sedangkan pasien terjangkit sebesar 37,38%. Berdasarkan karakteristik sampel, pasien non-obesitas memiliki persentase 74,54%, pasien obesitas 25,46%, dan pasien dengan kombinasi obesitas serta penyakit kardiovaskular sebesar 0,57%. Kata Kunci : Covid-19, Tingkat Keparahan, K-Medoid Clustering, Data Mining
PENGARUH DISIPLIN KERJA, KOMPETENSI PEGAWAI, DAN BEBAN KERJA TERHADAP EFEKTIVITAS KERJA PEGAWAI BAPPELITBANGDA KABUPATEN BATU BARA Ayu Andira; Abdul Rahman
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 2 (2026): April 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i2.6181

Abstract

Abstract: This study aims to analyze the partial and simultaneous effects of work discipline, employee competence, and workload on employee work effectiveness. The sample size in this study consisted of 38 respondents. The data analysis technique used was multiple linear regression. The regression results produced the equation:Y = -1.860 + 0.326 X? + 0.356 X? + 0.665 X?. Partially, the t-test results show that work discipline has a positive and significant effect on work effectiveness with a t-value (2.114) > t-table (2.03011), employee competence has a positive and significant effect with a t-value (2.583) > t-table (2.03011), and workload has a positive and significant effect with a t-value (2.324) > t-table (2.03011). The F-test results show that the F-value (74.551) > F-table (2.88), meaning that work discipline, employee competence, and workload simultaneously affect work effectiveness. The coefficient of determination test (R²) shows an R Square value of 0.868, indicating that 86.8% of work effectiveness can be explained by the three independent variables in this study, while the remaining 13.2% is influenced by other factors not included in this research. Keywords: Work Discipline, Employee Competence, Workload, Work Effectiveness   Abstrak: Penelitian ini bertujuan untuk menganalisis pengaruh disiplin kerja, kompetensi pegawai, dan beban kerja secara parsial dan simultan terhadap efektivitas kerja pegawai. Jumlah sampel dalam penelitian ini sebanyak 38 responden. Teknik analisis data menggunakan regresi linear berganda. Hasil regresi menghasilkan persamaan Y = -1,860 + 0,326 X? + 0,356 X? + 0,665 X?. Secara parsial, hasil uji-t menunjukkan bahwa disiplin kerja berpengaruh positif dan signifikan terhadap efektivitas kerja dengan nilai thitung (2,114) > ttabel (2,03011), kompetensi pegawai berpengaruh positif dan signifikan dengan nilai thitung (2,583) > ttabel (2,03011), dan beban kerja berpengaruh positif dan signifikan dengan nilai thitung (2,324) > ttabel (2,03011). Hasil uji-F menunjukkan bahwa nilai Fhitung (74,551) > Ftabel (2,88), yang berarti disiplin kerja, kompetensi pegawai, dan beban kerja berpengaruh secara simultan terhadap efektivitas kerja. Hasil uji koefisien determinasi (R²) menunjukkan nilai R Square sebesar 0,868, artinya sebesar 86,8% efektivitas kerja dapat dijelaskan oleh ketiga variabel independen dalam penelitian ini, sedangkan sisanya sebesar 13,2% dipengaruhi oleh faktor lain yang tidak termasuk dalam penelitian ini. Kata Kunci: Disiplin Kerja, Kompetensi Pegawai, Beban Kerja, Efektivitas Kerja
Co-Authors Abdul Rahman Bambang Irwansyah Eldo Yusri Muhammad Affandi Muhammad Fauzan Yafi Muhammad Sukri Syahputri Amelia