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All Journal Pattimura Proceeding : Conference of Science and Technology Journal of Mathematics, Computation and Statistics (JMATHCOS)
Tarigan, Enita Dewi br.
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Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Energy Engineering Materials Science & Nanotechnology Mathematics Physics

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Analisis Regresi Logistik Ordinal pada Pengaruh Pelayanan Terhadap Kepuasan Pasien Rawat Inap di Rumah Sakit Murni Teguh Medan Simangungsong, Monalisa; Pane, Rahmawati; Manurung, Asima; Tarigan, Enita Dewi br.
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4240

Abstract

Abstract. Hospitals play an important role in supporting public healt by providing high quality services, especially in providing optimal services for inpatients. Patient satisfaction is the main indicators to assess the quality of services in the hospital. This research aims to determine the effect of services on the level of satisfaction of inpatients at Murni Teguh Hospital using the ordinal logistic regression method. The results showed 44% of respondents were satisfied and 29% of respondents were very satisfied. Variables that have a significant effect on patient satisfaction are food service, medical facilities and medicines, and administrative services. The Negelkerke’s coefficient of determination of 0.825 indicates that 82.5% of the predictor variables affect the overall assessment of impatient satisfaction. The results of the model interpretation show that the highest chance of patients to feel very satisfied is in the medical facilities and medicines variable with an odds ratio of 2.959.
Faktor-Faktor yang Mempengaruhi Preferensi Pemilih Usia Muda dalam Pemilihan Presiden 2024 di Kota Medan menggunakan Regresi Logistik Biner Husniyah, Nailuh; Tarigan, Enita Dewi Br.; Siringoringo, Yan Batara Putra
Pattimura Proceeding Vol 5 No 1 (2024): Prosiding Konferensi Nasional matematika (KNM) XXII Tahun 2024
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/ppcst.knmxxiiv5i1p133-142

Abstract

This study aims to identify factors that influence young voters' preferences in the 2024 presidential election in Medan City. There are 12 independent variables used in this study, namely socio-culture, age, education, track record, policy, political issues, political interest, campaign, social media, trust, candidate quality, and debate results. The dependent variable is voter preference, with a value of 0 for not voting and 1 for voting. This study used binary logistic regression method with purposive sampling technique to collect data from 271 respondents of young voters in Medan City. The results show that the independent variables jointly affect the dependent variable, as indicated by the G-test value of 85.909 which is greater than the value of χ_((0,05;12))^2(21.026). Through the Wald test, it is known that there are 6 independent variables that have a significant effect on the dependent variable, namely socio-culture (9.011), age (11.339), track record (4.638), political issues (4.403), campaign (4.165) and debate results (13.901), where these values are greater than the value of χ_((0,05;1))^2(3.841). While the remaining 6 variables, namely education (1.203), policy (0.072), political interest (1.435), social media (0.128), trust (1.557), and candidate quality (1.891) have no significant effect on the dependent variable, because the Wald test values of the six variables are smaller than the value of χ_((0,05;1))^2(3.841).
Perbandingan Metode Kuadrat Terkecil dan Metode Rata-rata Bergerak dalam Peramalan Jumlah Pengunjung Wisata Panorama Geosite Hutaginjang Sumatera Utara Simaremare, Yehezekyel; Tarigan, Enita Dewi Br.
Pattimura Proceeding Vol 5 No 1 (2024): Prosiding Konferensi Nasional matematika (KNM) XXII Tahun 2024
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/ppcst.knmxxiiv5i1p143-154

Abstract

The methods used in this research are the Least Square method and the Moving Average method. The use of this method is intended to compare which method is the most accurate and has the smallest forecasting error using the Mean Absolute Percentage Error (MAPE) method. The data used in this research is data on the number of visitors to the Panorama Geosite Hutaginjang tourist attraction from December 2021 to May 2024. The results of research and data analysis found that the MAPE values ​​for the Least Square method, Moving Average period 3 (MA(3)) and Moving Average period 5 (MA(5)) are 16.627% , 21.691% and 19.703%. From the MAPE values ​​obtained, it can be determined that the most accurate method is the Least Square method.
Co-Authors Asima Manurung Husniyah, Nailuh Pane, Rahmawati Simangungsong, Monalisa Simaremare, Yehezekyel Siringoringo, Yan Batara Putra