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<![CDATA[ANALISIS DISKRIMINAN PADA KLASIFIKASI DESA DI KABUPATEN TABANAN MENGGUNAKAN METODE K-FOLD CROSS VALIDATION ]]>
<![CDATA[IDA AYU MADE SUPARTINI]]>;
<![CDATA[I KOMANG GDE SUKARSA]]>;
<![CDATA[I GUSTI AYU MADE SRINADI]]>
<![CDATA[ E-Jurnal Matematika Vol 6 No 2 (2017) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2017.v06.i02.p154
<![CDATA[Tabanan Regency is one of the eight regencies and one municipality in Bali Province. Administratively, it is divided into 10 districs and villages. There are rural areas and urban areas in the regions. Discriminant analysis is a technique related to the separation of objects into different groups that have been set previously. The purpose of this research is to classify villlages in Tabanan Regency into urban or rural groups with discriminant analysis. Linear discriminant analysis assumes that the covariance matrix of the two groups are equals, if the assumption of equality of covariance matrix is violated, quadratic discriminant analysis can be used for classification. This research uses k-fold crosss validation method for calculating the accuracy of quadratic discriminant function where . Quadratic discriminant function is obtained by with the smallest APER value (). All of classification results are stable and consistence.]]>
<![CDATA[PENERAPAN METODE LEAST MEDIAN SQUARE-MINIMUM COVARIANCE DETERMINANT (LMS-MCD) DALAM REGRESI KOMPONEN UTAMA ]]>
<![CDATA[I PUTU EKA IRAWAN]]>;
<![CDATA[I KOMANG GDE SUKARSA]]>;
<![CDATA[NI MADE ASIH]]>
<![CDATA[ E-Jurnal Matematika Vol 2 No 4 (2013) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2013.v02.i04.p051
<![CDATA[Principal Component Regression is a method to overcome multicollinearity techniques by combining principal component analysis with regression analysis. The calculation of classical principal component analysis is based on the regular covariance matrix. The covariance matrix is optimal if the data originated from a multivariate normal distribution, but is very sensitive to the presence of outliers. Alternatives are used to overcome this problem the method of Least Median Square-Minimum Covariance Determinant (LMS-MCD). The purpose of this research is to conduct a comparison between Principal Component Regression (RKU) and Method of Least Median Square - Minimum Covariance Determinant (LMS-MCD) in dealing with outliers. In this study, Method of Least Median Square - Minimum Covariance Determinant (LMS-MCD) has a bias and mean square error (MSE) is smaller than the parameter RKU. Based on the difference of parameter estimators, still have a test that has a difference of parameter estimators method LMS-MCD greater than RKU method.]]>
<![CDATA[ANALISIS PRIORITAS SOLUSI KEMACETAN LALU LINTAS DI KOTA DENPASAR DENGAN MENGGUNAKAN METODE ANALYTIC NETWORK PROCESS ]]>
<![CDATA[NI WAYAN NINING ISMIRANTI]]>;
<![CDATA[I PUTU EKA N. KENCANA]]>;
<![CDATA[I KOMANG GDE SUKARSA]]>
<![CDATA[ E-Jurnal Matematika Vol 5 No 1 (2016) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2016.v05.i01.p114
<![CDATA[The aim of this research is to find the alternative solutions that could be used to handle the traffic congestions in the Denpasar City and the priorities of each alternative. The main problem of this research is determining the appropriateness of alternatives and its criterias that could be used to set the priorities of the alternatives. Based on the interview with the transport experts of Denpasar City, there are three main factors that affect the traffic congestion i.e (1) the ratio of the volume of vehicles on the road capacity, (2) the existing traffic management, and the traffic regulation . The interviewee also suggest that there are six alternatives that can be used to handle traffic congestion. These alternatives are (1)improve the public transport system, (2) use technology to monitor and enforce the rules,(3) create a 3 in 1 rule, (4) create road pricing rule,(5) optimize the existing management in the road, and (6) create rule of road zoning. Based on the calculations by Analytic Network Process (ANP) method, improving the public transport system is the best alternative among others that is appropriate to handle traffic congestion in the Denpasar City.]]>
<![CDATA[IDENTIFIKASI FAKTOR YANG MEMENGARUHI ANAK PUTUS SEKOLAH DI KABUPATEN BADUNG ]]>
<![CDATA[NI KOMANG AYU SRI CAHYANI]]>;
<![CDATA[NI LUH PUTU SUCIPTAWATI]]>;
<![CDATA[KOMANG GDE SUKARSA]]>
<![CDATA[ E-Jurnal Matematika Vol 8 No 4 (2019) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2019.v08.i04.p267
<![CDATA[School dropout is someone who has left school before she/he has finished her/his study. This research aims to identify the factors that affects school dropout in Badung Regency. The research method used is confirmatory factor analysis and obtained six factors that affects school dropout, namely the lack of interest and willingness of children to go to school, the view that school is considered unattractive by student, inability to take lessons, economic family, lack of parental attention, and children’s play environment. The results of factor analysis which shows that the most dominant factor that affects school dropout in junior high school level is lack of parental attention, in senior high school the factors are lack of interest and willingness of children to go to school.]]>
<![CDATA[PENERAPAN REGRESI POISSON UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMENGARUHI JUMLAH SISWA SMA/SMK YANG TIDAK LULUS UN DI BALI ]]>
<![CDATA[KOMANG AYU YULIANINGSIH]]>;
<![CDATA[KOMANG GDE SUKARSA]]>;
<![CDATA[LUH PUTU SUCIPTAWATI]]>
<![CDATA[ E-Jurnal Matematika Volume 1, No 1, Tahun 2012 ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2012.v01.i01.p010
<![CDATA[This study aims to determine factors that influence the number of high/vocational school students that do not pass the examination in Bali in 2011. Factors that used in this study are the external factors include the proportion of public high/vocational school, proportion of the classrooms high/vocational school have damaged, the proportion of high/vocational school teachers have certified, and the number of participants high/vocational school national examination. This study uses Poisson regression analysis. Poisson regression is included in the Generalized Linear Models and this is one of the regression analysis for count data models with Poisson distributed response variables. Poisson regression analysis methods assume the mean and variance of the response variables are equal. Response variable is said to be Poisson distributed and overdispersion not happen if the value of the ratio between the variance and the mean close to one and less than 2.5. Test results show the response variable in this study Poisson distributed and there is no overdispersion. The analysis showed that all four factors are independent variables in this study affect the response variable is the number of high school/vocational school students which do not pass the examination.]]>
<![CDATA[MENGAPA GENERASI MUDA ENGGAN BEKERJA DI SEKTOR PERTANIAN? MODEL PERSAMAAN STRUKTURAL SEKTOR PERTANIAN DI KABUPATEN JEMBRANA ]]>
<![CDATA[ADI PUTRAYASA]]>;
<![CDATA[I KOMANG GDE SUKARSA]]>;
<![CDATA[I PUTU EKA NILA KENCANA]]>
<![CDATA[ E-Jurnal Matematika Vol 10 No 2 (2021) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2021.v10.i02.p331
<![CDATA[Agriculture in Bali has profound importance, namely as a natural tourist attraction and is one of the sectors with the most workers absorb as well the largest contributor to regional income for Bali Province. Currently, the agriculture sector in Bali is experiencing the problem of decreasing the workforce due to the reluctance of future generations to continue farming inherited from their families. The purpose of this paper is to identify the factors causing the reluctance of future generations to continue family farming and to study the causality of these factors to the reluctance for continuing family farming. This study uses a variance-based structural equation modeling (PLS-SEM). Internal and external motivation to continue family farming as well the perception of agricultural works are the exogenous variables, and the reluctance to continue family farming is the endogenous variable on the model. The data in this study obtained from interviewing 115 respondents in the Jembrana Regency of Bali. The study’s result justifies that internal factors, external factors, and perceptions of agricultural work influenced the reluctance to continue family farming.]]>
<![CDATA[KAJIAN TERHADAP TINGKAT PEMERATAAN PENDIDIKAN MENGGUNAKAN ANALISIS BIPLOT KLASIK DAN BIPLOT KEKAR ]]>
<![CDATA[NI LUH ARDILA KUSUMAYANTI]]>;
<![CDATA[I KOMANG GDE SUKARSA]]>;
<![CDATA[TJOKORDA BAGUS OKA]]>;
<![CDATA[I PUTU EKA N. KENCANA]]>
<![CDATA[ E-Jurnal Matematika Vol 4 No 2 (2015) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2015.v04.i02.p086
<![CDATA[The aim of this research is to find the better from classical and robust biplot in determine dominant indicators of educational equity in Bali, NTB and NTT Provinces. This research based on secondary data obtain from Central Bureau of Statistics for year 2012/2013. Educational equity was portraited by Classical and Robust Biplot. The results of this research showed Robust Biplot is better method which goodness of fit is 90,64% meanwhile Classical Biplot as much as 83,62%. The Robust Biplot showed Students- Junior or Islamic Middle School Ratio and Students-Senior or Islamic High School were dominant indicators to educational equity in Bali, NTB and NTT Provinces.]]>
<![CDATA[PENDEKATAN REGRESI SPLINE UNTUK MEMODELKAN POLA PERTUMBUHAN BERAT BADAN BALITA ]]>
<![CDATA[NI LUH SUKERNI]]>;
<![CDATA[I KOMANG GDE SUKARSA]]>;
<![CDATA[NI LUH PUTU SUCIPTAWATI]]>
<![CDATA[ E-Jurnal Matematika Vol 7 No 3 (2018) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2018.v07.i03.p212
<![CDATA[The study is aimed to estimate the best spline regression model for toddler’s weight growth patterns. Spline is one of the nonparametric regression estimation method which has a high flexibility and is able to handle data that change in particular subintervals so thus resulting in model which fitted the data. This study uses data of toddler’s weight growth at Posyandu Mekar Sari, Desa Suwug, Kabupaten Buleleng. The best spline regression model is chosen based on the minimum Generalized Cross Validation (GCV) value. The study shows that the best spline regression model for the data is quadratic spline regression model with six optimal knot points. The minimum GCV value is 0,900683471925 with the determination coefficient equals to 0,954609.]]>
<![CDATA[PENERAPAN REGRESI ZERO INFLATED GENERALIZED POISSON (ZIGP) PADA DATA OVERDISPERSION ]]>
<![CDATA[NI WAYAN AMANDA DEWI SULISTYANINGSIH]]>;
<![CDATA[I KOMANG GDE SUKARSA]]>;
<![CDATA[NI LUH PUTU SUCIPTAWATI]]>
<![CDATA[ E-Jurnal Matematika Vol 8 No 1 (2019) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2019.v08.i01.p228
<![CDATA[Zero Inflated Generalized Poisson (ZIGP) is a regression model used to analyze Poisson distributed discrete data which contains mostly zero and tends to experience overdispersion (varians value greater than the mean value). The purpose of this research is to find out the best model and the factors which influence the maternal mortality in Bali Province in year 2016 by using ZIGP regression model. The data used in this research was data from health profile Bali Province with the object totally 57 district rate data has proportion of zeros value more than 50% on the response variable. The analysis result of ZIGP data on maternal mortality cannot modeled using the ZIGP so ZIGP regression model became ZIP model . The best model which resulted from ZIP regression got one free variable which have significant impact towards the total number of maternal mortality. This significant variabel is the percentage of mother did visiting to K1.]]>
<![CDATA[ANALISIS KINERJA DOSEN JURUSAN MATEMATIKA FMIPA UNUD DENGAN METODE CHERNOFF FACES ]]>
<![CDATA[GUSTI AYU MADE ARNA PUTRI]]>;
<![CDATA[I PUTU EKA NILA KENCANA]]>;
<![CDATA[KOMANG GDE SUKARSA]]>
<![CDATA[ E-Jurnal Matematika Volume 1, No 1, Tahun 2012 ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/MTK.2012.v01.i01.p006
<![CDATA[This research aims at analyzing work performance of lectures in Math Department Faculty of Science UNUD by using Chernoff faces method. Chernoff faces method was initiated for the first time by Herman Chernoff in1973, that is visualization technique in the form of graphic method which presents data with many variables in cartoon face model. This method showsmultivariant data in the shape of human face with position of eyes, nose, ears and mouth which shows the value of variable in different shape, size, position and direction. Since it uses face as research object, in this research the writer combined Chernoff faces method with physiognomy method. Physiognomy method is science that studies about face characteristic which depicts someone’s personal quality and character. Based on the combination of both methods, it is obtained the result of analysis taken from 80 questioners with 9 variables for students of Math Department Faculty of Science UNUD. It is concluded that work performance of lectures in Math Department Faculty of Science UNUD has been good.]]>
