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INTEGRATED AHP AND FUZZY-PROMETHEE ON BEST SELECTION PROCESS Rina Widyasari; Hendra Cipta; Ismail Husein
ZERO: Jurnal Sains, Matematika dan Terapan Vol 2, No 1 (2018): January - June
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (317.829 KB) | DOI: 10.30829/zero.v2i1.3164

Abstract

In best selection process such as best student, best employee, best destination, etc. need an effective method so it may have the best object in output. Criteria on each process consist of among qualitative variable and numeric variable. In fact, to make a decision we cant use our feeling but should use science method. In our research we offer integrated AHP (Analytical Hierarchical Process) and Fuzzy-Promethee to solve the selection process that has among categorical variable. The result show algorithm from integrated AHP and Fuzzy-Promethee.
Estimation of parameters of uterine disease risk in Medan using local maximum likelihood method Rina Widyasari
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i3.3010

Abstract

The general public, especially women, still do not know about uterine disease, how to prevent and treat it. In fact, most of the Indonesian population still believes in traditional and occult medicine. Based on the problems that have been described, the researcher proposes a study related to knowledge of uterine disease. The researcher tried to estimate the multinomial logistic regression parameters on the risk of uterine disease (cancer stage) in the city of Medan with the local maximum likelihood method and its relationship with age, parity, age at marriage, birth status, use of family planning. The results showed that middle-aged women were susceptible to cervical cancer and uterine cancer and birth status affect uterine disease significantly.
PENERAPAN METODE SUPPORT VECTOR MACHINE (SVM) UNTUK KLASIFIKASI UANG KULIAH TUNGGAL DI UNIVERSITAS ISLAM NEGERI SUMATERA UTARA Nur Leli; Fibri Rakhmawati; Rina Widyasari
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i2.354

Abstract

North Sumatra State Islamic University is one of the State Universities in North Sumatra Medan which has implemented Single Tuition Fee (UKT). UKT is the name of a payment system that is currently in effect throughout the State Islamic Religious Colleges (PTKIN). In the UKT process, there are still problems, there are students at the State Islamic University of North Sumatra whose parents' economy is classified as low but gets a high UKT group, while their parents' economy is high but gets a low UKT group. The variables used are father's education, mother's education, father's income, mother's income and number of parents' dependents. The UKT groups are UKT 1, UKT 2, UKT 3, UKT 4, UKT 5, UKT 6 and UKT 7. The accuracy of the performance vector from the classification of the support vector machine method using cross validation is 61.33%
PERSAMAAN LOGISTIK MENGGUNAKAN METODE ADAM-BASHFORTH-MOULTON DALAM MEMPREDIKSI JUMLAH PENDUDUK DI INDONESIA Adek Kumala Sari; Rina Widyasari; Hendra Cipta
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.519

Abstract

This study discusses Logistic Equations using the Adam Bashforth Moulton method to predict population growth, which is then solved first with the Runge Kutta method of order-4 to obtain the initial solution then using Adam Bashforth as a predictor and Adam Moulton as a corrector. The logistical equation for population growth with a carrying capacity in Indonesia is K=1,000,000,000 with a step size of h=1, with a growth rate of 1%. Logistics numerical numerical solution with population growth at t=2027 with a step size of h=1 is 274,250,443 people