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All Journal HAYATI Journal of Biosciences Jurnal Ilmu Dasar Statistika BERKALA SAINSTEK CAUCHY: Jurnal Matematika Murni dan Aplikasi Kreano, Jurnal Matematika Kreatif-Inovatif Prosiding Seminar Matematika dan Pendidikan Matematik AJIE (Asian Journal of Innovation and Entrepreneurship) UNEJ e-Proceeding Martabe : Jurnal Pengabdian Kepada Masyarakat Mathvision : Jurnal Matematika Abdimas Universal JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) ESTIMASI: Journal of Statistics and Its Application Majalah Ilmiah Matematika dan Statistika (MIMS) International Journal of Quantitative Research and Modeling Jurnal Hasil Pengabdian Kepada Masyarakat Universitas Jember Indonesian Journal of Statistics and Its Applications
Alfian Futuhul Hadi
Departement Of Mathematics, Faculty Of Mathematics And Natural Science, University Of Jember, Jember, 68121, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Physics Social Sciences Other

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Journal : BERKALA SAINSTEK

 1 
Classification of Cardiovascular Disease Gene Data Using Discriminant Analysis and Support Vector Machine (SVM) Prayogo, Rizky; Anggraeni, Dian; Hadi, Alfian Futuhul
BERKALA SAINSTEK Vol 10 No 3 (2022)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v10i3.22259

Abstract

Cardiovascular disease is a disease caused by impaired function of the heart and blood vessels. This disease is caused by many factors, one of which is genetics, while the causes are age, gender, and family history. In this study, classification of 62 individuals with normal response and cardiovascular disease was carried out. Discriminant Analysis (AD) is a method that classifies data into two or more groups based on several variables where data that has been entered into one group will not be included in another group. The Support Vector Machine (SVM) performs classification by building an N-dimensional hyperplane that optimally separates data into two categories in the input space. Furthermore, AD and SVM will be compared to get which method has the best accuracy, after that it will be added to clustering using k-means and k-means kernels to improve the accuracy of each method. The results of this study are AD and SVM have accuracy values of 83.33% and 91.66%, for AD and SVM which are subjected to k-means have accuracy values of 91.66 % and 91.66 %, and for AD and SVM subjected to k-means kernel has an accuracy value of 100 % and 100 %.
Fungsi Likehood Pada Data Tersensor Interval Univariat Tresnawanti, Dini; Fatekurohman, Mohamad; Hadi, Alfian Futuhul
BERKALA SAINSTEK Vol 6 No 2 (2018)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v6i2.9227

Abstract

Analisis survival adalah metode statistika yang digunakan dalam mempelajari ketahanan hidup yang berhubungan dengan waktu, mulai waktu awal yang sudah ditentukan dalam penelitian sampai waktu akhir penelitian, namun ada beberapa kendala untuk mengestimasi fungsi tersebut yakni adanya data tersensor. Untuk mengestimasi fungsi dengan masalah demikian digunakan metode nonparametrik maksimum likelihood estimator dengan data tersensor interval univariat yakni data pasien kanker payudara di Rumah Sakit Baladhika Husada (DKT) berupa data interval l i =( Li , Ri ) dengan i adalah banyaknya pasien kanker Payudara serta. Pada metode NPMLE sesuai dengan usulan Turnbull perlu dicari terlebih dahulu bagaimana bentuk fungsi likelihood. Dalam mencari fungsi likelihood dengan data univariat, dilakukan pendekatan representasi petrie untuk menghasilkan matriks Clique sebagai matriks indikator (αij ) . Hasil dari penelitian ini berupa fungsi non linear dengan derajat paling besar yaitu berderajat 5. Kata Kunci: survival, nonparametrik, likelihood, matriks Clique,Turnbull.
Co-Authors A. A. Mattjik Abduh Riski Achmad Budi Susetyo Anak Agung Gede Sugianthara Awalin, Qonita Ilmi Budi Lestari D. Dafik Dian Anggraeni Dian Anggraeni Dian Anggraeni Dian Anggraeni Dian Anggraeni Dian Anggraeni Fatmala, Siti Febriana Fauziyah, Mailulah Ely Forestryani, Veniola Frida Murtinasari, Frida Halimatus Sa'diyah Halimatus Sa'diyah Halimatus Sa’diyah Herry Purnomo, Bambang Hidayat, Muhammad Jamil Hobri I Made Sumertajaya I Made Tirta Ika Hesti Agustin, Ika Hesti Ira Yudistira Kosala Dwidja Purnomo Kurnia Ahadiyah M Dika saputra Madinda, Diah Putri Miftahul Ulum Mohamad Fatekurohman Muhammad Iqbal Yunan Helmi Muharom, Lutfi Ali Nasrul Ilminnafik Nurul Fittriyah, Nurul Paramitha, Luckyta Citra Ayu Prayogo, Rizky Rio Pradani Putra Rory Ronella Agustin Rusdiana, Riza Yuli Sa’diyah, Halimatus Sudarko Sudarko Sunder, R. Syamsul Arifin Tresnawanti, Dini Wibisono, Dwi Anugrah Yuliani Setia Dewi