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Analisis Regresi Multilevel dalam Menentukan Variabel Determinan Nilai Ujian Akhir Nasional Siswa Ni Luh Putu Ayu Fitriani; I Putu Eka N. Kencana; I Wayan Sumarjaya
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.p64

Abstract

Hierarchical data are data where objects are clustered in their groups and for each of groups the variable(s) are set at different levels. It is common to analyze hierarchical data without examining individual’s data membership which affects the accuracy of analysis’ results.  Multilevel regression analysis is a method that can be chosen to overcomes issues regarding hierarchical data. This essay is aimed to apply multilevel regression analysis to evaluate score of national examination data from elementary school students at District of South Kuta, Bali.  These data were structured so that students are position as first level and are nested within their classes as the second level.  Furthermore, each of classes is nested within its respective elementary school as third level data. The application of three-level regression for these data set showed student’s score for national final test was significantly affected by teacher educational level of respective class.
UJI KENORMALAN UNIVARIAT: SUATU KAJIAN PUSTAKA I WAYAN SUMARJAYA
Jurnal Matematika Vol 1 No 1 (2010)
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.2010.v01.i01.p08

Abstract

Almost all statistical procedures, especially statistical inference, assumed that the sample distribution isnormally distributed. This normality assumption must be tested to ensure the correct use of the teststatistic, hence resulting a correct conclusion. This research discusses some univariate normality tests:test based on empirical distribution function, test based on moments, test based on correlation orregression, test based on sample entropy, test based on kernel method, test based on Polyacharacteristics, and test based on nonparametric method. This research also discuss normality test thatcapable of detecting outliers and discuss omnibus test that can give additional information about nonnormality.
Pendekatan-pendekatan Titik Sadel: Suatu Kajian Pustaka I Wayan Sumarjaya
Jurnal Matematika Vol 2 No 2 (2012)
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.2012.v02.i02.p28

Abstract

Dalam banyak area riset seperti biologi dan ilmu kedokteran, sering dijumpai jumlah amatan terlalu sedikit atau informasi yang diperoleh sangat sedikit atau terbatas. Inferensi dengan menggunakan teorema limit pusat untuk menyimpulkan statistik yang diteliti mendekati normal tentu tidaklah tepat. Salah satu cara untuk mengatasi masalah ini adalah dengan menggunakan pendekatan titik sadel (saddlepoint approximation). Artikel ini mengulas konsep dan beberapa perkembangan penting pendekatan titik sadel seperti pendekatan titik sadel untuk rata-rata, fungsi distribusi kumulatif, distribusi bersyarat, statistik umum, dan distribusi posterior.
Memodelkan Ketergantungan dengan Kopula I Wayan Sumarjaya
Jurnal Matematika Vol 3 No 1 (2013)
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.2013.v03.i01.p33

Abstract

Dalam statistika salah satu ukuran untuk melihat ketergantungan antara dua peubah adalah dengan menggunakan koefisien korelasi. Namun, dalam banyak aplikasi finansial terutama manajemen risiko finansial penggunaan korelasi kadang tidaklah tepat. Salah satu contoh kelemahan korelasi adalah ketidakmampuan korelasi untuk menangkap hubungan nonlinear antara dua peubah. Selain itu, sifat-sifat umum korelasi yang dikenal biasanya hanya berlaku pada distribusi eliptik. Untuk itu diperlukan suatu metode untuk mengeksplorasi struktur ketergantungan antarpeubah tersebut. Metode ini adalah kopula. Tujuan artikel ini adalah memberikan tutorial singkat tentang kopula dan estimasinya.
Estimasi Model Seemingly Unrelated Regression (SUR) dengan Metode Generalized Least Square (GLS) Ade Widyaningsih; Made Susilawati; I Wayan Sumarjaya
Jurnal Matematika Vol 4 No 2 (2014)
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.2014.v04.i02.p49

Abstract

Regression analysis is a statistical tool that is used to determine the relationship between two or more quantitative variables so that one variable can be predicted from the other variables. A method that can used to obtain a good estimation in the regression analysis is ordinary least squares method. The least squares method is used to estimate the parameters of one or more regression but relationships among the errors in the response of other estimators are not allowed. One way to overcome this problem is Seemingly Unrelated Regression model (SUR) in which parameters are estimated using Generalized Least Square (GLS). In this study, the author applies SUR model using GLS method on world gasoline demand data. The author obtains that SUR using GLS is better than OLS because SUR produce smaller errors than the OLS.
Analisis Biplot untuk Pemetaan Posisi dan Karakteristik Usaha Pariwisata di Provinsi Bali I Gusti Ayu Made Srinadi; I Wayan Sumarjaya
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.p66

Abstract

Tujuan penelitian ini adalah mengetahui pemetaan posisi dan usaha pariwisata penciri pada kabupaten/kota di Provinsi Bali, mengetahui kabupaten/kota yang tergabung dalam satu kelompok, dan usaha pariwisata penciri pada masing-masing kelompok. Variabel dalam penelitian ini adalah persentase masing-masing usaha pariwisata pada tiap kabupaten/kota di Provinsi Bali.  Usaha pariwisata dalam penelitian ini adalah usaha pariwisata yang tertuang dalam Undang-undang RI  Nomor 10 tahun 2009 dan telah tercatat di seluruh kabupaten/kota meliputi: a) daya tarik wisata; b) kawasan pariwisata; c) jasa transportasi wisata; d) jasa perjalanan wisata; e) jasa makanan dan minuman; f) penyediaan akomodasi; g) penyelenggaraan pertemuan, perjalanan insentif, konferensi, dan pameran; h) jasa pramuwisata; dan l) wisata tirta. Analisis statistika yang diterapkan untuk mencapai tujuan penelitian adalah analisis biplot. Kabupaten/Kota di Provinsi Bali, menurut jenis-jenis usaha pariwisata  dapat dikelompokkan dalam 4 kelompok.  Tiga kelompok hanya memiliki satu anggota yaitu kelompok satu: Kota Denpasar, kelompok dua: Kabupaten Badung, dan kelompok tiga: Kabupaten Gianyar. Kabupaten-kabupaten lainnya yaitu Jembrana, Tabanan, Klungkung, Bangli, Buleleng, dan Karangasem bergabung dalam kelompok empat.  Usaha pariwisata yang menjadi karakteristik kota Denpasar adalah usaha jasa perjalanan wisata, jasa transportasi wisata, pramuwisata, MICE, dan wisata tirta.  Kabupaten Badung, kondisi usaha pariwisatanya yang paling mendekati kota Denpasar, dicirikan oleh usaha jasa makanan dan minuman, usaha akomodasi, dan kawasan pariwisata.  Kabupaten Gianyar,  posisinya paling dekat dari kelompok 4 (enam kabupaten lain di provinsi Bali) dicirikan oleh usaha daya tarik wisata.
IMPLEMENTASI BEBERAPA UJI KENORMALAN OMNIBUS DENGAN PERANGKAT LUNAK R I WAYAN SUMARJAYA
Jurnal Matematika Vol 1 No 1 (2010)
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.2010.v01.i01.p06

Abstract

An omnibus normality test is a normality test that can give additional information about nonnormalityor other deviation from normality through the skewness and the kurtosis coefficients. The aim of thisresearch is to implement the omnibus D’Agostino-Pearson K2 test and modified Jarque-Bera teststatistic using R software.
Analisis Model Regresi Data Panel Tidak Lengkap Komponen Galat Dua Arah dengan Penduga Feasible Generalized Least Square (FGLS) Chrisna Anzella Jacob; I Wayan Sumarjaya; Made Susilawati
Jurnal Matematika Vol 4 No 1 (2014)
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.2014.v04.i01.p42

Abstract

Data panel didefinisikan sebagai kumpulan pengamatan pada data tabulasi silang yaitu setiap objek yang sama diamati dari waktu ke waktu. Data panel yang memiliki jumlah pengamatan waktu berbeda di setiap objek pada data tabulasi silang disebut data panel tidak lengkap. Penelitian ini mencari nilai dugaan terhadap model regresi data panel tidak lengkap yang mengasumsikan pada random effect models dengan komponen galat dua arah.  Pendugaan dilakukan dengan terlebih dahulu mencari taksiran komponen variansi galat dua arah, kemudian melakukan penaksiran koefisien regresi data panel tidak lengkap dengan metode feasible generalized least square (FGLS).  
Melaib Mebase Tegeh: Bentuk Perkawinan Yos Embang Wayan Sumarjayanti; I Nyoman Sama; I Ketut Darmana
Humanis Vol 24 No 2 (2020)
Publisher : Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.923 KB) | DOI: 10.24843/JH.2020.v24.i02.p08

Abstract

Pedawa village is part of Banjar district, Buleleng regency, which is one of the Bali AgaVillages in the north Bali. Pedawa as the old village has its own uniqueness especially concerning the marriage ceremony in which the local people in that place often called it as Melaib. There are six types of marriages in Desa Pedawa namely melaib ngemaling, melaib ngidih, melaib ngangken, melaib negteg, melaib mebase tegeh, melaib ngerorod (mepekirang).Melaib mebase tegeh is one of the types of marriage for the people of Pedawa Village who shelter Yos Embang which is the procession of the marriage ceremony uses the conditions in the form of banten base tegeh as a symbol for every woman from Yos Embang (local kawitan) who marries out of their clan. The results of this research are expected to provide benefits and development of science in the field of anthropology, especially about marriage. The results of this research showed that melaib mebase tegeh is one of the types of marriage in Pedawa Village, which is implemented by the people in Pedawa vilage that shelter Yos Embang if the women mated out from Yos Embang. Melaib mebase tegeh has the meaning of kinship, religious meaning and cultural. Moreover, if the people who marry girls from Yos Embang do not carry out mebase tegeh ceremony will have an impact on family and community life and have an impact on the belief aspect of the people in Pedawa Village, which shelter Yos Embang.
PERAMALAN PRODUKSI PADI DI KABUPATEN BADUNG, GIANYAR, DAN TABANAN DENGAN METODE VECTOR AUTOREGRESSION (VAR) I GUSTI AYU MEIGAYONI LESTARI; I WAYAN SUMARJAYA; I NYOMAN WIDANA
E-Jurnal Matematika Vol 10 No 1 (2021)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2021.v10.i01.p317

Abstract

Rice is one of the staple foodstuffs whose availability is very important for public consumption in Indonesia, especially Bali Province. The three regencies that produce the most rice in Bali they are Badung, Gianyar and Tabanan. This study aims to model, predict, and analyze the relationship between rice production in Badung, Gianyar, and Tabanan Regency from January 2018 to December 2019 using vector autoregression (VAR) method. VAR method is a time series method that can be used to model and predict time series with more than one variable simultaneously. The results of this study, namely the VAR model obtained to predict the amount of rice production in Badung, Gianyar, and Tabanan Regencies is third order VAR (VAR (3)). Based on the forecasting criteria for the mean absolute percentage error (MAPE) in this model, a reasonable forecast is obtained for the rice production variables in Badung and Gianyar regencies, and good forecasting for the rice production variables in Tabanan Regency is obtained. Then, based on the granger causality analysis, it is found that the amount of rice production in Gianyar Regency affects the amount of rice production in Badung and Tabanan Regencies, and the amount of rice production in Badung Regency affects the amount of rice production in Gianyar Regency.
Co-Authors ADE KUSUMA DEWI Ade Widyaningsih ALEXANDER HIRO WIBISONO ANAK AGUNG ISTRI AGUNG CANDRA ISWARI AULIA ATIKA PRAWIBTA SUHARTO Chairun Nisa Chrisna Anzella Jacob COKORDA BAGUS YUDISTIRA DESAK AYU WIRI ASTITI Dewa Ken Budiputra DIAN RAHMAN EKA N. KENCANA FITRI ANANDA DITA SARASWITA G. K. Gandhiadi GILANG BIMASAKTI ANDHIKA GUSTI AYU PUTU YULIANDARI HERLINA HIDAYATI I GEDE DICKY ARYA BRAMANTA I GEDE MAHA HENDRA PRATAMA I Gusti Ayu Made Srinadi I GUSTI AYU MEIGAYONI LESTARI I Ketut Darmana I KETUT PUTRA ADNYANA I KOMANG GDE SUKARSA I MADE BUDIANTARA PUTRA I Nyoman Sama I Nyoman Widana I Putu Eka Nila Kencana I PUTU GEDE DIAN GERRY SUWEDAYANA I Wayan Suirta IRENE MAYLINDA PANGARIBUAN JUITA HARYATI SIDADOLOG JULIANTARI JULIANTARI KADEK DITA SUGIARI Kartika Sari Kartika Sari KASTIN DWILEN PONG SUMAE Ketut Jayanegara KHOSYI RUKITO KOMANG CANDRA IVAN Komang Dharmawan KOMANG KOKOM SUCAHYATI DEWI P LUH GEDE UDAYANI LUH HENA TERECIA WISMAWAN PUTRI LUH PUTU ARI DEWIYANTI LUH PUTU IDA HARINI MADE NITA DWI SAWITRI Made Susilawati MAHMUDATUL AQIBAH MIRA AYU NOVITA SARI NATASYA WIDIA PUTRI NI KADEK JULIARINI NI KADEK YUNI DEWIANTARI Ni Ketut Linda Aryani Ni Ketut Tari Tastrawati NI KOMANG DEBY ARIANI Ni Luh Putu Ayu Fitriani Ni Luh Putu Diah Ayu Candrasuari Ni Luh Putu Suciptawati Ni Made Asih NI MADE LASTI LISPANI NI MADE RARA KESWARI Ni Made Sri Wahyuni NI MADE SURYA JAYANTI NI PUTU AYU DEWI CAHYANTARI NI PUTU DEVIYANTI NI PUTU MEILING UTAMI NI PUTU MIRAH SRI WAHYUNI NI PUTU NIA IRFAGUTAMI NI PUTU WIDYA ISWARI DEWI NI PUTU YULIKA TRISNA WIJAYANTI NI WAYAN DIAH SIHMAWATI Ni Wayan Merry Nirmala Yani NI WAYAN UCHI YUSHI ARI SUDINA NOVIAN ENDI GUNAWAN NUR FAIZA NURMA ALIYUWANINGSIH NYOMAN KRISHNA PRATIWI DANGIN PUTU AMANDA SETIAWANI PUTU EKA ARIWIJAYANTHI PUTU GDE BUDHA WIRYADANA RAMADHAN LENGGU RAMLI RENALDO EVIPANIA SITI RAHAYU NINGSIH TJOK GDE SAHITYAHUTTI RANANGGA Tjokorda Bagus Oka TRISNA RAMADHAN ULYATIL AENI VINSENTIA REVICA BELLA ROSSARY WILDAN FATTURAHMAN MUJTABA WIMAS ASTARI YUDA