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All Journal Natural Science: Journal of Science and Technology JURNAL ILMIAH MATEMATIKA DAN TERAPAN Journal of Data Analysis BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Varian Inferensi DedikasiMU: Journal of Community Service Parameter: Journal of Statistics Indonesian Journal of Statistics and Its Applications
Mohammad Fajri
Department Of Statistics, Faculty Of Mathematics And Natural Sciences, Tadulako University, Indonesia
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Transportation Other

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Journal : JURNAL ILMIAH MATEMATIKA DAN TERAPAN

 1 
Analisis Komparasi Algoritma Clustering Berbasis Partisi Untuk Data Numerik Dan Data Kategorikal Lusiyanti, Desy; Fajri, Iman Al; Andri; Fajri, Mohammad
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 20 No. 2 (2023)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2023.v20.i2.16871

Abstract

Dalam prakteknya, tidak selalu semua fitur data bertipe numerik ataupun bertipe kategorik. Perbedaan fitur pada suatu data menjadi permasalahan dalam menentukan metode yang akan digunakan. Salah satu cara yang sering digunakan untuk mengatasi permasalahan tersebut yaitu mengubah salah-satu dari nilai fitur dengan menyesuaikan metode yang akan digunakan. Misalkan dalam analisis cluster, terdapat beberapa algoritma yang sering digunakan diantaranya adalah K-Means dan K-Modes. Kedua metode ini memiliki perbedaan dari fitur yang digunakan. K-Means menggunakan tipe data numerik sedangkan K-Modes menggunakan tipe data kategorik. Dalam penelitian ini dilakukan komprasi antara metode K-Means dan K-Modes untuk mengclusterkan pasien penyakit jantung. Dataset yang digunakan dalam penelitian ini adalah data rekam medis pasien penyakit jantung RSUD Undata palu. Hasil penelitian menunjukkan bahwa dari kedua metode yang dibandingkaan memiliki tingkat akurasi yang baik, yaitu 84.47% (untuk metode K-Means), dan 83.85% (untuk metode K-Modes).
Biserial Point Correlation to Measure The Relationship Between The Characteristics of Health Workers at Undata Palu Hospital with Antibody Levels Fadjriyani; Mohammad Fajri; Hartayuni Sain; Gamayanti, Nurul Fiskia; Rais
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 21 No. 1 (2024)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2024.v21.i1.17109

Abstract

Correlation analysis is a term in statistics commonly used to study the relationship between variables. The purpose of this analysis technique is to get a pattern of the closeness or strength of the relationship between two variables expressed by the correlation coefficient. The correlation coefficient is a value that indicates whether or not there is a strong linear relationship between two variables. This study aims to find the relationship between the characteristics of health workers at Undata Hospital Palu and antibody levels. The characteristics of health workers are nominal data with two categories while antibody levels are measured using ratio or interval data. This type of data is suitable to be analyzed using point biserial correlation technique. There are several variables of respondent characteristics that influence immune performance, namely gender, presence or absence of comorbidities, smoking habits, health conditions, exercise habits, close contact with patients and vaccine history. The results of the correlation analysis showed that all respondent characteristic variables had a very weak correlation with antibody levels. This is indicated by the correlation coefficient value of each variable of 0.034; 0.062; 0.063; 0.074; 0.020; 0.079 and 0.119. This means that the characteristics of respondents do not really affect the rise and fall of antibody levels. However, vaccine history has the highest correlation coefficient compared to other variables. This indicates that one of the prevention efforts against infectious diseases is the administration of vaccines.
Co-Authors Andri Annisa, Mufitatul Ayu Anggraeni Desy Lusiyanti Fadjriyani Gamayanti, Nurul Fiskia Hajra Rasmita Ngemba Hartayuni Sain Iman Al Fajri Iman Setiawan Insany, Annisa Nur Iut Triutami Junaidi Junaidi Lilies Handayani Margareth, Cecilia Muh. Maruf Nur?Eni, Nur?Eni Nurhidayati, Maulida Nurpati Nurpati Nurul Fiskia Gamayanti Phyta Rahima Primajati, Gilang Rais Rais Rais Rais Rais Rizwan Arisandi Shalsa Yunita Rahman Jati Siti Natazha Dg Mabaji Siti Soraya Wulansari, Eka Rizky Yandi Ristawan Yunita, Silva