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JURNAL ILMIAH MATEMATIKA DAN TERAPAN
Published by Universitas Tadulako
ISSN : 18298133     EISSN : 2450766X     DOI : -
Core Subject : Education,
Mathematics
Jurnal Ilmiah Matematika dan Terapan adalah Jurnal yang diterbitkan oleh Program Studi Matematika FMIPA Universitas Tadulako. Jurnal ini menerbitkan artikel hasil penelitian atau telaah pustaka bersifat original meliputi semua konsentrasi bidang ilmu matematika dan terapannya, seperti analisis, aljabar, kombinatorika, matematika diskrit, statistika, dan semua aspek terapannya.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 14 Documents
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Search results for , issue "Vol. 15 No. 2 (2018)" : 14 Documents clear
PERBANDINGAN KINERJA KLASIFIKASI SUPPORT VECTOR MACHINE (SVM) DAN REGRESI LOGISTIK BINER DALAM MENGKLASIFIKASIKAN KETEPATAN WAKTU KELULUSAN MAHASISWA FMIPA UNTAD Utami, I T
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
SIMULASI PENANGANAN PENCILAN PADA ANALISIS REGRESI MENGGUNAKAN METODE LEAST MEDIAN SQUARE (LMS) Tusilowati, Tusilowati; Handayani, L; Rais, Rais
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 (430.512 KB) | DOI: 10.22487/2540766X.2018.v15.i2.11362

Abstract

The simulation of handling of outliers on regression analysis used the method which was commonly used to predict the parameter in regression analysis, namely Least Median Square (LMS) due to the simple calculation it had. The data with outliers would result in unbiased parameter estimate. Hence, it was necessary to draw up the robust regression to overcome the outliers. The data used were simulation data of the number of data pairs ( X,Y) by 25 and 100 respectively. The result of the simulation was divided into 5 subsets of data cluster of parameter regression prediction by Ordinary Least Square (OLS) and Least Median Square (LMS) methods. The prediction result of the parameter of each method on each subset of data cluster was tested with both method to discover the which better one. Based on the research findings, it was found that The Least Median Square (LMS) method was known better than Ordinary Least Square (OLS) method in predicting the regression parameter on the data which had up to 3% of the percentage of the outlier.
RANCANG BANGUN APLIKASI STEGANOGRAPHY METODE MINIMUM ERROR LEAST SIGNIFICANT BIT REPLACEMENT (MELSBR) Aprilia, I; Ariyanti, D; Izzuddin, A
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 (682.236 KB) | DOI: 10.22487/2540766X.2018.v15.i2.11364

Abstract

Digital data security today is an important part of user because of the increasingly widespread misuse of individuals who can easily open a personal thing. In this case, steganography is a technique that discusses the security of digital data information through the technique of hiding data into other data. Many methods are used in steganography techniques in the process of hiding digital data information. But in this study, the author uses the steganography method based on the insertion of files in the form of files, namely in this case * txt file using the Minimum Error Least Significant Bit Replacement (MELSBR) method with a media storage in the form of 24-bit bitmap files and data that can be inserted in the form of files * txt. The nature of the MELSBR method is to adapt to the local characteristics of the storage medium. In the process of image processing testing researchers use PSNR parameters to determine the quality comparison of digital images before and after processing. The results of this study, concealment and insertion using the MELSBR method with PSNR testing has a greater value so that it can be concluded that the image after processing is getting closer to the cover image.
KONDISI MINIMAL IDEAL KIRI TERURUT PADA SEMIGRUP TERNER TERURUT PARSIAL Andri, Andri; Nacong, Nasria
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 (479.87 KB) | DOI: 10.22487/2540766X.2018.v15.i2.13225

Abstract

Ternary semigroups 𝑇 is obtained from a nonempty set 𝑇 that given a mapping with a multiplication operation ternary that satisfied closed and associative properties. So, generally a ternary semigroup is an abstraction of a semigroup structure. Meanwhile, partially ordered ternary semigroups 𝑇 is an ordered semigroup 𝑇 that satisfies the properties for each 𝑎, 𝑏, 𝑐, 𝑑 ∈ 𝑇 if 𝑎 ≤ 𝑏 then (𝑎𝑐𝑑) ≤ (𝑏𝑐𝑑) and (𝑑𝑐𝑎) ≤ (𝑑𝑐𝑏). In a ternary semigroups there is also concept of left ideals. This study was conducted to examine the characteristics of ordered left ideals on partially ordered ternary semigroups. Furthermore, it will be discussed about the characteristics of minimal ordered left ideals on partially ordered semigroups.Keywords : Ternary Semigroups, Ordered Ternary Semigroups, Left Ideals, Ordered Left Ideals, Minimal of Ordered Left Ideals.

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