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Journal : E-Jurnal Matematika

PENDEKATAN REGRESI LOGISTIK BAYES PADA PEMODELAN PERILAKU IBU TERHADAP KEBERSIHAN MULUT ANAK BALITA KASTIN DWILEN PONG SUMAE; I GUSTI AYU MADE SRINADI; I WAYAN SUMARJAYA
E-Jurnal Matematika Vol 11 No 4 (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.i04.p388

Abstract

Human behavior is a set of behaviors that humans have that are influenced by customs, value, ethics, attitudes, emotion, power, persuasion, and/or genetics. Oral hygiene is a form of dental hygiene. Toddler often suffer from oral and dental problems such as tooth decay or cavities. Hence, parental behavior towards the oral hygiene of toddler is urgently needed. This study aims to determine the factors that significantly influence maternal behavior on oral hygiene in toddler and to obtain a model of maternal behavior using Bayesian logistic regression method. Bayesian method estimation is solved using Markov Chain Monte Carlo (MCMC) simulation. The results of this study indicate that the variables of knowledge and income have a significant impact on maternal behavior in maintaining oral hygiene in toddler.
MENDUGA KUALITAS LAYANAN MASKAPAI DOMESTIK MENGGUNAKAN JARINGAN SYARAF TIRUAN MULIA YASMAN; I PUTU EKA NILA KENCANA; I GUSTI AYU MADE SRINADI
E-Jurnal Matematika Vol 12 No 1 (2023)
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.2023.v12.i01.p396

Abstract

Measurement of service quality is very important because it can determine the accuracy between consumer perceptions and expectations when receiving information before using the items or services. Measurement of service quality can be done using the service quality method developed by Parasuraman et al. (1990). The independent variables used refer to the dimensions of service quality, namely reliability, assurance, tangiable, empathy, and responsiveness. While the dependent variable is satisfaction. The measurement of service quality using an artificial neural network with a backpropagation algorithm is carried out by obtaining input data and target data from calculations using service quality. Testing on the artificial neural network is carried out in two stages, namely training data and testing data. The results are then compared with the target data on the service quality method to determine accuracy.
PERAMALAN NILAI TUKAR PETANI SUBSEKTOR TANAMAN PANGAN PROVINSI BALI MENGGUNAKAN METODE FUZZY TIME SERIES CHEN ULYATIL AENI; I WAYAN SUMARJAYA; I GUSTI AYU MADE SRINADI
E-Jurnal Matematika Vol 12 No 2 (2023)
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.2023.v12.i02.p407

Abstract

Forecasting is a way to predict future events. One of the methods for forecasting is to use fuzzy time series Chen method. Fuzzy time series Chen is a development of fuzzy time series Song and Chissom method with more simplified arithmetic operations. In this study, the forecasting for the NTP especially in food crops sub-sector of Bali was done by using first-order and high-order fuzzy time series methods to predict next period. The results show that the most appropriate forecasting method is the second-order fuzzy time series Chen with the result for June 2022 are 90.95, July 2022 are 91.95, and August 2022 are 92.45 with MSE value of 0.4563 and MAPE value of 0.2824%.
PREDIKSI MARKET VALUE PEMAIN SEPAK BOLA DI LIMA LIGA TOP EROPA MENGGUNAKAN K-NEAREST NEIGHBOR HIRZI FIRDAUSI; I WAYAN SUMARJAYA; I GUSTI AYU MADE SRINADI
E-Jurnal Matematika Vol 13 No 2 (2024)
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.2024.v13.i02.p446

Abstract

Every football club in competition at any country has ambition to be a champion. One of the important things to be a champion is the quality of player in the team. Therefore, when transfer time is opened, almost every club buys the required players. Busy transfer activity frequently occurs in five Europe top leagues. Nevertheless, a club frequently buys a player which has price beyond market value transfer (market value). The reason is that many clubs still don not know how to determine market value. The aim of this research is to predict the market value of football players in five Europe top leagues using K-nearest neighbor (KNN). Data which will be used are 26 football players who play in five Europe top leagues with club get into first tier league (promotion) in season of 2022/2023. The result is that the model which is used for prediction is a KNN model which has proportion of training data and test data at the ratio of 90:10 and parameter K = 3 since it has the lowest MAPE which is 10,45 %. From model selection we obtain MAPE value at 28,614 % for compared prediction of market value result with actual of market value.
PEMODELAN REGRESI NONPARAMETRIK SPLINE TRUNCATED KASUS KEJADIAN DIARE DI PROVINSI BALI NADIYA YUVITA RIZKI; I GUSTI AYU MADE SRINADI; I KOMANG GDE SUKARSA
E-Jurnal Matematika Vol 13 No 1 (2024)
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.2024.v13.i01.p438

Abstract

Nonparametric regression is a flexible approach used to determine the relationship between the predictor variable and the response variable is unknown. One method that can be used to estimate nonparametric regression models is the truncated spline. The truncated spline is an effective method to estimate nonparametric regression models due to its ability to adapt to the data's characteristics through knots. Truncated spline estimates its parameters with the maximum likelihood estimator (MLE) method and finds the optimal knot points with the minimum generalized cross validation (GCV) value. This study used the truncated spline to model diarrhea cases in Bali Province, examining five variables that could affect incidence. The optimal knot points were 2-1-3-3-2 with a minimum GCV value of 67572,38. The study found that the number of clean drinking water facilities, food management places that meet health requirements, public places that meet health requirements, population density, and access to proper sanitation facilities had a significant effect on diarrhea incidence. The coefficient of determination for this model is 98,87%.
ANALISIS REGRESI LOGISTIK ORDINAL SPASIAL STATUS KETAHANAN PANGAN PADA KABUPATEN/KOTA DI INDONESIA TAHUN 2020 NI NYOMAN UTAMI DEWI; MADE SUSILAWATI; I GUSTI AYU MADE SRINADI
E-Jurnal Matematika Vol 12 No 4 (2023)
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.2023.v12.i04.p430

Abstract

Food is a basic need which is a right for humans to survive and has an important role so that an arrangement is needed that describes the level of food security in each region. Food security status shows the food stability of a region in terms of availability, access, and consumption of food for the local populace. The diversity of regencies/cities gives a variance effect in the results of food security so that the spatial influence is included in modeling the status of food security owing to the likelihood of interactions in our research between regions with one another, meaning that the condition of food security in regencies/cities is influenced by the condition of neighboring regencies/cities. Based on this, a model is that may be utilized to assess the state of food security is required in districts/cities in Indonesia in 2020. Logistic regression analysis is one technique that may be utilized to create the model regression analysis. Logistic regression analysis is a regression method that tests whether there is a probability the independent variable has the ability to predict the dependent variable.
ANALISIS ANTREAN SPBU UDAYANA DENGAN MODEL ANTREAN NON-POISSON LUIS RICARDO PANDIANGAN; NI PUTU DIAN ASTUTIK; EVARISTUS VERIYOGI YALSCHEN LEMBUNAI; I GUSTI AYU MADE SRINADI; MADE AYU DWI OCTAVANNY
E-Jurnal Matematika Vol 13 No 2 (2024)
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.2024.v13.i02.p453

Abstract

Long queues at gas stations are a common sight, consuming valuable time for vehicle refueling. This inconvenience poses a challenge for the community, necessitating efficient time management. To address this issue, optimization through queue analysis is proposed. This study aims to analyze the queuing process for pertalite motorcycle fueling at one of the refueling stations, Udayana Gas Station, using the non-Poisson model (GPD/GEV/1):(FIFO/?/?). Additionally, a comparison is made with a modified scenario by introducing an extra server, resulting in the model (GPD/GEV/2):(FIFO/?/?). Based on 60 sampled data collected on Friday, 17 November, 2023, the analysis reveals a queue time of 5.8 minutes, with an expected 9 motorcycles in the queue. The results of the new model (GPD/GEV/2):(FIFO/?/?) indicate a notable reduction, with no motorcycles waiting in line for fueling. Consequently, it is recommended that Udayana Gas Station add an additional pertalite refueling station for motorcycles, promoting enhanced efficiency and convenience.
PERAMALAN INDEKS HARGA PERDAGANGAN BESAR KELOMPOK KOMODITAS PERTANIAN MENGGUNAKAN METODE SINGULAR SPECTRUM ANALYSIS I MADE PRABA ESHA SUKSEMAWAN; I WAYAN SUMARJAYA; I GUSTI AYU MADE SRINADI
E-Jurnal Matematika Vol 13 No 2 (2024)
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.2024.v13.i02.p450

Abstract

The wholesale price index (WPI) is an index used to measure the average price change over time of a package of goods in wholesale trade. This price index is an indicator to view general economic developments and material for market and monetary analysis. Related to WPI as material for market and monetary analysis, forecasting of WPI is very much needed, especially in agricultural commodities, which are a vital sector. The WPI in the agricultural commodity group in this study was forecasted using the singular spectrum analysis (SSA) method. The data used in forecasting is WPI data from January 2005 to December 2022. Forecasting accuracy level is determined by using vector singular spectrum analysis (VSSA) method. Forecasting results show that the best SSA model is obtained with the window length value and MAPE value is 1,9%. This shows that the SSA method can predict the WPI of agricultural commodities very accurately.
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 Eza Purnama Putri 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 Margaretha Ratih Dyah Novitasari MILATUS SHOLIKHA Mirza Rizaldi Sudrajat Mohamad Dwi Agus Arianto 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 Komang Viona Amelia Putri 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 Dhea Angelita Dusak 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 Yasmin Roni Mz ZANUAR SEPTYADI