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All Journal JURNAL ILMIAH MATEMATIKA DAN TERAPAN
I T Utami
UNTAD
Mathematics

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PERBANDINGAN KINERJA KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) DAN REGRESI LOGISTIK BINER DALAM MENGKLASIFIKASIKAN KETEPATAN WAKTU KELULUSAN MAHASISWA FMIPA UNTAD I T Utami
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 15 No. 2 (2018)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.82 KB) | DOI: 10.22487/2540766X.2018.v15.i2.11361

Abstract

Evaluasi kinerja klasifikasi dapat ditentukan berdasarkan persentase besarnya kesalahan klasifikasi (misclassification rate atau MCR). Penelitian ini bertujuan membandingkan kinerja klasifikasi ketepatan waktu kelulusan mahasiswa FMIPA UNTAD dengan menggunakan metode support vector machine dan regresi logistik biner. Hasil penelitian diperoleh bahwa kesalahan klasifikasi dengan menggunakan metode Support Vector Machine (SVM) dan regresi logistik biner masing-masing sebesar 16.84% dan 19.3%. Berdasarkan perbandingan kinerja kedua metode tersebut, metode dengan kesalahan klasifikasi terkecil adalah metode Support Vector Machine. Metode tersebut dapat digunakan untuk mengklasifikasikan ketepatan waktu kelulusan mahasiswa FMIPA UNTAD
ANALISIS KLASTER PAUTAN LENGKAP UNTUK MENGELOMPOKKAN KABUPATEN/KOTA DI PROVINSI SULAWESI TENGAH BERDASARKAN INDIKATOR KRIMINALITAS I T Utami; Rais Rais; W Seftiani
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 16 No. 1 (2019)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (738.659 KB) | DOI: 10.22487/2540766X.2019.v16.i1.12757

Abstract

Criminality is all kinds of actions and deeds which is economically and psychologically harmful. The statistical method could be used to classify the crime is cluster analysis. Cluster analysis is a multivariate method which aims to classify a sample of subjects (or objects) on the basis of a set of measured variables into a number of different groups such that similar subjects are placed in to the same group. The objective of this research is to classify Regency/City in Central Sulawesi Province based on the criminality indicator and to discover the profile of each cluster which had been formed. The results of the study shows that those are two clusters formed: Cluster 1 consists of Buol, Banggai, Morowali, Toli-Toli, Donggala, and Tojo Una-Una Regency; Cluster 2 consists of Regency/Palu City, and Parigi Moutong. The profile of each cluster is: Cluster 1 with low crime rate on average and Cluster 2 with high crime rate on average.Keywords : Cluster Analysis, Complete Linkage, Criminality, Hierarchy Method.
Co-Authors Rais Rais W Seftiani