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All Journal Jurnal Matematika GRADIEN Student Journal of Business and Management (SJBM) Engagement: Jurnal Pengabdian Kepada Masyarakat
Sigit Nugroho
Program Studi Statistika, Jurusan Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Bengkulu
Religion Arts Humanities Economics, Econometrics & Finance Education Mathematics Physics Social Sciences

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Journal : Jurnal Matematika

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Perbandingan Analisis Diskriminan dan Analisis Regresi Logistik Ordinal dalam Prediksi Klasifikasi Kondisi Kesehatan Bank Fajri Zufa; Sigit Nugroho; Mudin Simanihuruk
Jurnal Matematika Vol 7 No 2 (2017)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2017.v07.i02.p86

Abstract

The purpose of this research is to compare the accuracy of bank classification prediction based on Capital Adequacy Ratio (CAR), Earning Asset Quality (EAQ), Non Performing Loan (NPL), Return on Assets (ROA), Net Interest Margin (NIM), Short Term Mismatch (STM) and Loan to Deposit Ratio (LDR). Discriminant analysis and ordinal logistic regression analysis are compared in classifying the prediction. The data used are secondary data, namely data classification of bank conditions in Indonesia in 2014 obtained from research institute PT Infovesta Utama. Based on Apparent Error Rate (APER) score obtained, it can be said that discriminant analysis is better in predicting the classification of bank conditions in Indonesia than that of ordinal logistic regression analysis. Discriminant analysis has the average prediction accuracy of 80%, while ordinal logistic regression analysis has the average prediction accuracy of 74,38%.
Analisis Kejadian Gempa Bumi Tektonik di Wilayah Pulau Sumatera Jose Rizal; Sigit Nugroho; Adi Irwanto; , Debora
Jurnal Matematika Vol 6 No 1 (2016)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2016.v06.i01.p63

Abstract

The purpose of this study to get an overview of the earthquakes in Sumatra. The method used is descriptive statistics and models Autoregressive Fractionally Integrated Moving Average (ARFIMA). The result from analysis data yielded a mathematical model to predict the amount of tectonic earthquakes that occur every month in Sumatra is ARFIMA (4,0.350,3) with a value of RMSE is 0,040??. While the best model for the average magnitude of the many tectonic earthquakes that occur every month in Sumatra is ARFIMA (1,0.310,3) with a value of RMSE is 0.013. Based on the model results obtained forecast frequency earthquake and the average magnitude for the three periods ahead, namely the first period 21 times with an average magnitude is 4,91 SR , the second period will occur 14 times with an average magnitude is 4.94 SR and the third period will occur 20 times with an average magnitude is 4,96 SR.
Co-Authors , Debora Adi Irwanto Dian Agustina Etis Sunandi Fajri Zufa Jose Rizal Mudin Simanihuruk Nur Afandi Pepi Novianti Praningrum - - Rendy Alpahrasy Trisna Murni Yogi Rahmatin Hasanah