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All Journal Zero : Jurnal Sains, Matematika, dan Terapan Jurnal Mantik Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Journal of Mathematics and Scientific Computing With Applications
Rina Widyasari
Universitas Islam Negeri Sumatera Utara Medan
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Physics

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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.
CLUSTER ANALYSIS TO CLASSIFY THE LEVEL OF SOCIAL WELFARE OF THE COMMUNITY IN DELI SERDANG REGENCY USING FUZZY C-MEAN CLUSTERING DURING THE COVID-19 PANDEMIC Dwi Salasa Riana; Fibri Rakhmawati; Rina Widyasari
Journal of Mathematics and Scientific Computing With Applications Vol. 2 No. 2 (2021)
Publisher : Pena Cendekia Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1064.834 KB)

Abstract

The Covid-19 pandemic has greatly affected the social welfare of the affected communities in each region. Based on data sources that there are many people who have lost their jobs and lack of income, the government provides a number of assistances to help people affected by covid-19. This study uses data on the number of reciptients of cash social assistance (BST) in Deli Serdang Regency in 2020 which aims to look at the problems of assistance received by the community towards the social welfare of the community. This study uses fuzzy c-mean clustering method because social welfare groupings can be grouped appropriately. Based on the results of fuzzy c-mean clustering analysis will produce three clusters that have different characteristics. The sub-district included in cluster 1, namely Hamparan Perak, Percut Sei Tuan, Sunggal, Tanjung Morawa are sub-districs that have a low level of welfare during the covid-19 pandemic because in these sub-districs the population is more than other sub-districs. Located in Deli Serdang regency.
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%
Co-Authors Dwi Salasa Riana Hendra Cipta Ismail Husein, Ismail Nur Leli Rakhmawati, Fibri