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All Journal Jurnal Studi Jender SRIKANDI Jurnal Matematika PIRAMIDA Buletin Udayana Mengabdi E-Jurnal Matematika Indonesian Journal of Pharmaceutical Science and Technology Indonesian Journal of Physics and Nuclear Applications Journal on Education Udayana Journal of Social Sciences and Humanities (UJoSSH) Jurnal Cahaya Mandalika International Journal of Education and Literature (IJEL) International Journal of Educational Research
I Gusti Ayu Made Srinadi
Prodi Matematika FMIPA Universitas Udayana
Arts Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Physics Social Sciences Other

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Faktor-Faktor yang Memengaruhi Orang Tua dalam Memilih Sekolah TK bagi Anak Agnes Juliet Boking; I Gusti Ayu Made Srinadi; Ni Luh Putu Suciptawati
Jurnal Matematika Vol 3 No 2 (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.i02.p39

Abstract

School was second place for children to get knowledge and develop skills or talents. A great school and accordance with the character of the child will be able to guide children toward a better future. There are many factors that influence parents in choosing a kindergarten school for children affected from both the internal parents, schools or internal environment. The author would like to see the factors that influence whether parents in choosing a kindergarten school for children and whether there is a relationship between internal indicators of parents, school internally, and the environment. Internal indicators of parents, school internally, and the environment in question include: parent education, parental employment, parental income, school programs, teacher background, facilities, location, promotion, reputation, cost, references, traditions, parents and the learning process. The analysis used were factor analysis and canonical correlation analysis. The results showed that there are seven factors that influence parents in choosing a kindergarten school which factors socio-economic background of parents, location, teacher backgroud, school status, environment, state school, and cost factors. Result of canonical correlation analysis showed that between internal indicators parent with internal school, among parents with the internal environment, and the relationshipbetween internal school and environment provides each significant effect.
ESTIMATOR KERNEL DALAM MODEL REGRESI NONPARAMETRIK I Komang Gede Sukarsa; I Gusti Ayu Made Srinadi
Jurnal Matematika Vol 2 No 1 (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.i01.p21

Abstract

Analisis regresi nonparametrik merupakan metode pendugaan kurvaregresi yang digunakan jika tidak ada informasi sebelumnya te,ntang benttrk kurvaregresi atau tidak terikat pada asumsi bentuk fungsi tertentu. Estimasi fungsiregresi nonparametrik dilakukan berdasarkan daA pengamatan dengan menggunakanteknik pemulusan (smoothing). Penelitian ini bertujuan untuk memperlihatkanpendekatan estimator kernel dalam regresi nonparametik padadata sekunder,yaitu data motorcycle. Hasil penelitian ini menunjukkan batrwa penggunaanfungsi kernel yang berbda yaitu fungsi kernel Triangle dan kernel Gaussian denganbandwidth optimal menghasilkan estimasi kurva regresi yang hanrpir saura, sehinggadapat dituojukkan bahwa pemilihan bandwidth lebih penting dibandingkandengan pernilihan fungsi kernel.
ANALISIS REGRESI LOGISTIK DALAM PENENTUAN MODEL BERAT BADAN BAYI LAHIR I GUSTI AYU MADE SRINADI
Jurnal Matematika Vol. 1, No. 1 April 2007
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.2007.v01.i01.p05

Abstract

Infant weight at Birth (BBBL) is one standard of The Healthy Program with expectation isthe Normal In-fant Weight at Birth (³ 2,5 kg). The factors which influence to BBBL are weight,height, parities, ages, hae-moglobin pencentage, blood pressure and education of mother’s.This study want to know which factors have major probability and how are the form of the factorsto the BBBL.Data used in this research are mother’s data whom give delivery in Govermant Hospital,delivery clinic or delivery nurse’s.Mother’s characteristic shown in data descriptive analysis. Single logistic regression detecteach potential variable to construct the multiple logistic regression model. The variables used forconstruct the multiple logis-tic regression model have significant contribution to the BBBL, thebest model is : P =+ + + + -Model above showed mother’s education and mother’s activities influences to the BBBL.Odds ratio values for every factors which influenced to the BBBL ³ 2,5 kg compared withBBBL < 2,5 kg find for mother’s education (junior high school, senior high school and the degreeof university) with proba-bility 2,6414, 22,2936 and 50,5504 times higher than mother’seducation for elementary school background.
Geographically Weighted Ridge Regression dalam Kasus Multikolinearitas Pada Indeks Pembangunan Manusia di Kabupaten/Kota Provinsi Jawa Timur Yani Arthayanti; I Gusti Ayu Made Srinadi; G.K. Gandhiadi
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.p89

Abstract

Linear Regression Analysis is a statistical method for modeling relation between two variable, response and explanatory variable. Geograpically Weighted Regression (GWR) is the development of linier regression analysis if the case of spatial divers case. Local multicollinearity is a condition when explanatory variables had correlated with each observation location. Geograpically Weighted Ridge Regression (GWRR) is a method used to model data containing local multicollinearity on spatial data. GWRR model was developed from ridge regression by adding weight as additional information. The study aims to model spatial data containing local multicollinearity to the Human Development Index (HDI) in the districts/municipalities of eastern Java Province in 2015. The result of this study was indicate that the indicator of the average length of school is a dominant indicator that affects HDI.
PENGELOMPOKKAN DESA-DESA DI KABUPATEN GIANYAR BERDASARKAN FAKTOR-FAKTOR YANG MEMENGARUHI KEMISKINAN I G A M Srinadi; DESAK PUTU EKA NILAKUSMAWATI; LUH PUTU SAFITRI PRATIWI
PIRAMIDA Vol 10 No 1 (2014): Jurnal PIRAMIDA
Publisher : Puslit Kependudukan dan Pengembangan SDM Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (309.424 KB)

Abstract

This study aimstoclassifyrural/urban villages inGianyarregency, furtheranalyzethe characteristics(poverty profileand thefactors thataffectpoverty) that characterizeeach group ofvillages/urban village, thencomparedwiththe generalaverage valueof Gianyar regency.The data used in this study is secondary data sourced from Macroeconomic Data Publications In 2011, BadanPusatStatistik  (BPS) Gianyar district covers 64 villages and six villages (Village Gianyar, Village Abianbase, Beng Village, Village Bitera, Village Samplangan, and the Village of Ubud). The variables of study include: the percentage of poor households (Y) and the factors that affect poverty include: the percentage of health-care facilities (X1), the percentage of school facilities (X2), the percentage of the population working in the agricultural sector (X3), the percentage of the population who work in the formal sector (X4), the percentage of the working population in the informal sector (X5), the ratio of the number of television sets with the number of households (X6), the percentage of households using clean water (PDAM) (X7), the ratio of the population that has not complete primary school (X8), regular income village (X9), and the distance from the center of the village of Gianyar regency (X10). The methods and stages of analysis that used in this study are: (1) Describe the research variable is the variable percentage of the poor and the factors that influence it, and (2) Perform cluster analysis to classify rural/village based on the factors that affect poverty. The results showed that the percentage of poor households in 64 villages and 7 villages of Gianyar district shows that the percentage of poor households in the village of Batubulan lowest with 2.81 percent and the percentage of poor households occurred in the village was 73.18 percent Beresela . Group 1 consisting of village/village with a regular income that is high enough and the distance of the village/sub-district of the city center is quite low is a group of village / village with the average percentage of poor households most smaller than other groups in the amount of 25.67% lower than the average district worth 27,682%.
UPAYA PENINGKATAN PENGUASAAN KONSEP MATERI KULIAH DASAR PROGRAM STUDI MATEMATIKA MELALUI MASTERY LEARNING MODEL I.G.A.M. Srinadi; I.K.G. Sukarsa; K. Jayanegara; I.N. Wendri
Buletin Udayana Mengabdi Vol 16 No 3 (2017)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (605.577 KB)

Abstract

Kebutuhan guru privat bagi sebagian besar siswa tingkat sekolah dasar dan sekolah menengah mendorong mahasiswa Program Studi Matematika, FMIPA, Universitas Udayana khususnya yang tinggal menyelesaikan Tugas Akhir (TA) mengisi waktu luang sebagai guru privat. Penilaian yang baik dari masyarakat (stake holder) diperoleh apabila pemahaman dan penguasaan mahasiswa pada mata kuliah dasar yang mencakup konsep kalkulus (fungsi), matriks-vektor, dan peluang-statistika telah tercapai dengan tingkat kesempurnaan lebih dari 85%. Tujuan dari program pengabdian masyarakat ini, adalah meningkatkan kompetensi mahasiswa PS Matematika Universitas Udayana terhadap penguasaan mata kuliah dasar meliputi kalkulus (fungsi), matriks-vektor, dan peluang-statistika. Metode yang digunakan dalam kegiatan ini adalah berupa pendalaman materi dengan metode presentasi, demonstrasi, diskusi dan penugasan. Prosedur pelaksanaan model pembelajaran tuntas meliputi tahap orientasi, penyajian, latihan terstruktur, latihan terbimbing, dan latihan mandiri. Evaluasi dari program pengabdian dengan pemberian pre test dan post test. Indikator keberhasilan dari pelaksanaan kegiatan diukur dari adanya peningkatan kompetensi mahasiswa pada mata kuliah dasar ditandai dengan peningkatan nilai hasil belajar dan rata-rata peningkatan nilai kelompok. Implementasi model pembelajaran tuntas efektif dalam meningkatkan kompetensi mahasiswa tingkat akhir terhadap penguasaan konsep mata kuliah dasar. Predikat kelompok mahasiswa semuanya memperoleh predikat sempurna, menunjukkan penerapan model pembelajaran tuntas sangat efektif dalam meningkatkan kompetensi mahasiswa terhadap penguasaan konsep materi dasar. Hal ini juga ditunjukkan dari hasil uji analisis beda nilai tengah data berpasangan nilai post-test dan pre-test terjadi perbedaan nilai yang signifikan, yaitu rataan nilai post test meningkat secara signifikan dari rataan nilai pre-test.
PELATIHAN PENELITIAN TINDAKAN KELAS/PTK (CLASSROOM ACTION RESEARCH) GURU-GURU SLB/B TABANAN SRINADI I G. A.M; D. P. E. NILAKUSMAWATI
Buletin Udayana Mengabdi Vol 9 No 1 (2010): Volume 9 No.1 – April 2010
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (187.987 KB)

Abstract

ABSTRACT Classroom Action Research/PTK can be done as class or school problem solving. With PTK, school education obtained the practical benefit including the mistakes of concept in subject and the teacher’s difficulties on learning. The aimed of this Community service was to introduce the basic concept and the execution procedure of classroom action research for the SLB/B Tabanan teachers. This training also improved their knowledge and skill of classroom action research. Based on the pre test, from 30 teachers as the participant of the training, there was a teacher in the good category, 17 teachers in the fairly good category and 12 in the poor category. By the end of the training, the post test descriptively showed that after attending this training there were no longer teacher in the poor category, 13 teachers in the fairly good category and 17 in the good category.
ANALISIS JALUR FAKTOR-FAKTOR YANG MEMENGARUHI RISIKO TERKENA PENYAKIT DIABETES MELITUS DOMINGGAS TEO; I KOMANG GDE SUKARSA; I GUSTI AYU MADE SRINADI; I PUTU EKA NILA KENCANA
E-Jurnal Matematika Vol 11 No 1 (2022)
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.2022.v11.i01.p359

Abstract

Diabetes mellitus is a non-contagious disease that causes the increas of death rates in Indonesia. This study aims to determine the causality between Age, Occupation, Cholesterol effects of Age, Occupation, Cholesterol Levels, and Blood Pressure Risk of Diabetes Mellitus (DM). The population in this study were all patients at the Beru Public Health Center, with a sample of 200 patients. The analytical method used in this research is Path Analysis with the help of directly or indirectly. The results showed that age and blood pressure had a direct positive effect on cholesterol levels and blood pressure, and age, cholesterol levels and blood pressure also directly affected the risk of developing DM. Age and occupation also affect the risk of developing DM indirectly.
PENERAPAN REGRESI ZERO-INFLATED NEGATIVE BINOMIAL (ZINB) UNTUK PENDUGAAN KEMATIAN ANAK BALITA NI MADE SEKARMINI; I KOMANG GDE SUKARSA; I GUSTI AYU MADE SRINADI
E-Jurnal Matematika Vol 2 No 4 (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/MTK.2013.v02.i04.p052

Abstract

One method of regression analysis used to analyze the count data is Poisson regression. Poisson regression requires that the mean value equal to the value of variance (equidispersion). However, sometimes the data is going overdispersion  the state variance values ??greater than the mean value. One of the causes overdispersion is the excessive number of zero values ??on the response variable (excess zeros). One method of analysis that can be used on data that had overdispersion due to excess zeros is regression Zero-Inflated Negative Binomial (ZINB). The data that can be analyzed using the ZINB regression is the early childhood mortality in the province of Bali because much of the data is zero. The analysis showed that the data had overdispersion on Poisson regression, so the ZINB regression analysis was used. From the results of the ZINB regression can overcome overdispersion so it was better than the Poisson Regression Model.
PEMODELAN KASUS PNEUMONIA PADA BALITA DI PROVINSI BALI MENGGUNAKAN METODE REGRESI NONPARAMETRIK B-SPLINE I GUSTI AYU MADE VALENTINA DEWI; I GUSTI AYU MADE SRINADI; MADE SUSILAWATI
E-Jurnal Matematika Vol 9 No 3 (2020)
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.2020.v09.i03.p299

Abstract

Pneumonia is an inflammatory lung disease caused by bacterium Streptococcus pneumonia, Chlamydophila pneumonia bacteria, influenza virus, and fungi. Bali Provincial Health Service data in 2018 shows that one of the diseases that causes many deaths in children under five is pneumonia. This study aims to model the number of pneumonia cases in children under five in Bali Province in 2018 with six research variables, namely percentage of low birth weight, percentage of coverage of infants who receive vitamin A, percentage of infants who receive exclusive breastfeeding, percentage of under-five health services, percentage of villages that implement community-based total sanitation, and percentage of neonatal complications management. In the B-Spline function there are connecting points called knots. The best estimation of the B-Spline regression model is obtained from selecting the optimum knot point with the criteria for the value of generalized cross validation (GCV) and the selected mean square error (MSE) having the minimum value. The B-Spline regression model that is formed is the quadratic B-Spline model (order 3) with five knots resulting in an value of 87.79%.
Co-Authors AA Sudharmawan, AA ADE KUSUMA DEWI Agnes Juliet Boking Agnes Juliet Bokings Agung Dwi Cahya Megamahaputra AGUST WIRAS ARDI KUSUMA ANAK AGUNG ISTRI AGUNG CANDRA ISWARI ANNA FITRIANI AYU SANDRA TIARA DEWI Ayuk Dwi Cahyani Chairun Nisa Cokorda Istri Tirta Rusmala Dewi Deddi Prima Putra DERY MAULANA Desak Putu Eka Nilakusmawati DEWA AYU DWI ASTUTI Dewi, Cokorda Istri Tirta Rusmala DOMINGGAS TEO Dyan Ayu Wijayanti EKA ARISTA ANJASARI Eriska May Wulandari EVARISTUS VERIYOGI YALSCHEN LEMBUNAI G. K. GANDHIADI G. K. GANDHIADI GILANG BIMASAKTI ANDHIKA GUSTI AYU PUTU YULIANDARI GUSTI AYU RATIH ASTARI HIRZI FIRDAUSI I GEDE AGUS JIWADIANA I Gede Purna Adi Putra I GUSTI AYU MADE VALENTINA DEWI I Kadek Yudha Pramana Adi I KOMANG GDE SUKARSA I Komang Gede Sukarsa I Made Agus Gelgel Wirasuta I MADE BUDIANTARA PUTRA I MADE PRABA ESHA SUKSEMAWAN I Nyoman Widana I Putu Eka Nila Kencana I Putu Eka Suarsa I PUTU YUDANTA EKA PUTRA I Wayan Sumarjaya I.K.G. Sukarsa IDA AYU MADE SUPARTINI Isabel Divya Georgiana Walewangko K. Jayanegara KADEK NOVIA DWIJAYANTHI KASTIN DWILEN PONG SUMAE Ketut Jayanegara KHOSYI RUKITO Komang Dharmawan LUH KOMANG MARDIANI Luh Putu Ratna Sundari LUH PUTU SAFITRI PRATIWI LUIS RICARDO PANDIANGAN Luky Adrianto M ARRIE KUNILASARI ELYNA Made Asih MADE AYU DWI OCTAVANNY MADE NARYMURTI WIDYASTUTI Made Novita Dewi Made Susilawati MILATUS SHOLIKHA Mirza Rizaldi Sudrajat MULIA YASMAN NADIYA YUVITA RIZKI NATASYA WIDIA PUTRI Ni Kade Hindu Pertiwi NI KADEK ARISKA DEWI Ni Kadek Dhirayani NI KADEK DWI ARISYA AFRILIANTI NI KADEK ENDAH YANITA UTARI NI LUH GEDE SINTA ARYATI NI LUH NIKASARI Ni Luh Putu Suciptawati NI LUH WIWIN YUNIARTI Ni Made Asih Ni Made Audi Kirei Saraswati Ni Made Putri Ja Yanti NI MADE SEKARMINI NI MADE SRI KUSUMAWARDHANI NI NYOMAN UTAMI DEWI NI PUTU DIAN ASTUTIK Ni Putu Linda Laksmiani Ni Putu Manik Maharani NI PUTU MEILING UTAMI NI PUTU MIRAH SRI WAHYUNI Ni Putu Monikha Alvionitha NI PUTU NIA IRFAGUTAMI NI PUTU PREMA DEWANTI NI PUTU RINA ANGGRENI NI WAYAN ARI SUNDARI NI WAYAN ARIS APRILIA A.P NI WAYAN ASRI PRADNYANI Ni Wayan Dewi Anastasya Pratiwi Ni Wayan Merry Nirmala Yani NI WAYAN YULIANI NI WAYAN YUNI CAHYANI NOVIAN ENDI GUNAWAN NUR FAIZA NURMA ALIYUWANINGSIH NYOMAN GDE PRAJNAWIWEKA RATMASA TARAM NYOMAN KRISHNA PRATIWI DANGIN Nyoman Wendri PALUPI PURNAMA SARI PANDE PUTU BUDI KUSUMA Putu Edi Dimas Saputra PUTU SUSAN PRADAWATI Putu Wulan Cahayaningrat Ratna Sari Widiastuti SORAYA SARAH AFIFAH TJOK GDE SAHITYAHUTTI RANANGGA TRI ALIT TRESNA PUTRA Ulfatun Farika Novitasari ULYATIL AENI Wayan Evi Handayani Wijayakusuma, I Gusti Ngurah Lanang WILDAN FATTURAHMAN MUJTABA Yani Arthayanti ZANUAR SEPTYADI