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FAKTOR-FAKTOR YANG MEMENGARUHI PENYEBARAN PENYAKIT TUBERKULOSIS (TBC) DI PROVINSI JAWA BARAT NI KADEK ARISKA DEWI; I KOMANG GDE SUKARSA; I GUSTI AYU MADE SRINADI
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.p294

Abstract

The highest number of tuberculosis sufferers in Indonesia is in West Java Province. The spread of TB disease depends on a variety of different factors in each region. Due to differences in geographical conditions between regions in West Java, the differences between one variable and different variables give different responses at different locations in each study area. This is called spatial heterogeneity. The method that can be used to overcome the problem of spatial heterogeneity is the Weighted Geographic Regression (GWR) method. The best model of this research is the GWR model using the bisquare adaptive kernel weighting function. The resulting coefficient of determination is 93.79%. Significant variables are the number of households having clean and healthy life behavior (PHBS), the number of male residents, and the number of houses not meeting health requirements.
APLIKASI PEMODELAN FUZZY PADA INDIKATOR MAKROEKONOMI PROVINSI BALI I Komang Gde Sukarsa; I Putu Eka N. Kencana
Prosiding Seminar Nasional MIPA 2015: PROSIDING SEMINAR NASIONAL MIPA UNDIKSHA 2015
Publisher : Prosiding Seminar Nasional MIPA

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Abstract

Sebagian besar data indikator makroekonomi merupakan data deret waktu yang umumnya diprediksi menggunakan model runtun waktu yang dikelompokkan ke dalam kelas pemodelan stokastik atau menggunakan model-model pemulus. Penelitian ini ditujukan untuk melihat kemampuan pemodelan fuzzy yang tergolong ke dalam soft modeling pada kasus data makroekonomi Provinsi Bali pada periode tahun 1990 2013. Indikator makroekonomi yang diprediksi adalah Pendapatan Domestik Regional Bruto (PDRB), Konsumsi, Pembentukan Modal Tetap Domestik Bruto (PMTDB), dan Ekspor Neto Provinsi Bali pada periode tersebut. Kelas pemodelan fuzzy yang digunakan adalah model Fuzzy Time Series (FTS) orde satu dengan fungsi keanggotaan yang dipilih adalah fungsi keanggotaan segitiga fuzzy (fuzzy triangular number). Hasil penelitian menunjukkan model FTS memberikan tingkat keakurasian prediksi yang tinggi, terlihat dari nilai Average Forecasting Error Rate (AFER) yang rendah. Nilai-nilai AFER untuk prediksi out-of-sample dari indikator PDRB, Konsumsi, dan PMTDB masing-masing sebesar 0,20 persen; 2,15 persen; dan 1,08 persen. Komparasi model FTS dalam memprediksi PDRB dengan formula makroekonomi untuk menghitung PDRB menunjukkan model FTS mengungguli formula makroekonomi dengan nilai AFER model FTS sebesar 0,20 persen sedangkan formula makroekonomi memberikan nilai AFER sebesar 4,00 persen.Kata kunci: AFER, fuzzy modelling, fuzzy time series, model makroekonomiAbstractMost of macroeconomic indicators are time series data. In general, time series data were predicted by using time series models which are classified into stochastic model or by applying exponential model. This research aimed to elaborate the performance of fuzzy modeling which is grouped into soft modeling in predicting the macroeconomic indicators for period 1990 2013 of Bali Province. The predicted indicators were Gross Domestic Product (GDP), Consumption, Gross Domestic Investment (GDI) and Net Export of Bali Province for that period. We applied first order Fuzzy Time Series (FTS) with membership function had been chosen is Fuzzy Triangular Number (FTN). The result showed FTS model gave high prediction rate, observed from its Average Forecasting Error Rate (AFER). The values for GDP, Consumption, and GDI were 0.20 percent, 2.15 percent, and 1.08 percent, respectively. In addition, for out-of-sample forecast of GDP, FTS outperformed classical macroeconomic formula for counting it with AFER as much as 0.20 percent while the formula had 4.00 percent.Keywords: AFER, fuzzy modelling, Fuzzy Time Series, macroeconomic model
Tanggapan Pemilih PemulaTerhadap Caleg Perempuan Pada Pemilu Legislatif (PILEG) 2019 Ni Luh Putu Suciptawati; I Komang Gde Sukarsa; Eka Nila Kencana
Jurnal Ilmiah Ilmu Sosial Vol. 6 No. 2 (2020): Jurnal Ilmiah Ilmu Sosial
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jiis.v6i2.28475

Abstract

Representasi perempuan dalam legislatif sangatlah penting, keberadaan legislator perempuan diharapkan dapat meningkatkan peran perempuan dalam kebijakan publik seperti pengentasan kemiskinan, kemajuan pendidikan, dan dibidang kesehatan. Penelitian ini bertujuan untuk melihat bagaimana persepsi pemilih pemula terhadap partisipasi perempuan dalam pemilihan legislatif 2019. Data penelitian berupa data primer dengan menyebarkan kuesioner kepada 300 responden pemilih pemula di Denpasar dengan menggunakan purposive sampling. Metode analisis yang digunakan adalah regresi logistic biner. Hasil penelitian menunjukkan bahwa dari 300 responden 235 tidak setuju dengan kandidat perempuan, hanya 65 yang memilih kandidat perempuan. Faktor yang berpengaruh terhadap cara berpikir responden dalam memilih caleg adalah pendidikan dan keaktifan dalam berorganisasi.
Identifikasi dan Kausalitas Dari Faktor Penyebab Perselingkuhan Di Kota Denpasar Ni Made Santiningsih; I Putu Eka Nila Kencana; I Komang Gde Sukarsa
Jurnal Matematika Vol 12 No 1 (2022)
Publisher : 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.2022.v12.i01.p144

Abstract

Infidelity can have an impact on married life, some examples of which are less harmonious relationships with partners, and divorce. Infidelity is a sexual and emotional activity carried out by one or both individuals bound by a committed relationship. This study aims to determine the causative factors of infidelity and the causative factors that dominate infidelity. The method used in this research is structural equation modeling partial least square (SEM-PLS). The place where this research was conducted is in Denpasar City with a research period of October to November 2021. Data were obtained based on a questionnaire in the form of responses from married residents to the factors causing infidelity. The questionnaires were distributed as many as 130 questionnaires. This study obtained the results that the factors that cause infidelity are sexual factors, emotional factors, love factors, and social factors. Infidelity occurs dominated by emotional factors, namely the lack of attention from partners.
FAKTOR-FAKTOR YANG MELATARBELAKANGI KEPUTUSAN KONSUMEN MENGGUNAKAN JASA LAYANAN GRABFOOD PADA APLIKASI GRAB DI KOTA DENPASAR NI KADEK SETIAWATI; I KOMANG GDE SUKARSA; G.K. GANDHIADI; I PUTU EKA NILA KENCANA
E-Jurnal Matematika Vol 11 No 2 (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.i02.p364

Abstract

Grabfood is one type of online food delivery services. This services can be an alternative when people want to buy foods or drinks but cannot leave their activities. Knowing the consumer’s decision to use Grabfood is important because it such one of effort to improve the quality of this services. This research is aimed to determine factors behind consumer’s decision for using Grabfood services on the Grab application in Denpasar City. The method used in this research is factor analysis by analyzing the assessment of 120 respondents whom domiciled in Denpasar City and have used Grabfood services at least three times a month. Based on the results, there were five factors behind consumer’s decision for using Grabfood services in Denpasar City. Those factors are reliability factor of drivers, the ease of obtaining orders, informative and responsive factors for consumers, order assurance factors, and consumer care and understanding factors. Those five factors were able to explain the factors behind consumer’s decision for using Grabfood service on the Grab application in Denpasar City by 63.99%.
PENGGUNAAN KREMATORIUM BAGI UMAT HINDU: SEBUAH IDENTIFIKASI KUANTITATIF EKA N. KENCANA; DIAN PRAMESTI DEWI; I KOMANG GDE SUKARSA
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.p389

Abstract

A crematorium is a special place for cremation of dead. In recent years, the Hindu community in Bali has become accustomed to use crematorium for doing ngaben rituals. This study aims to know the determinant of Balinese to do ngaben at crematorium. The population was all Hindu communities in Bali, with a sample of 120 Hindu families who have doing ngaben at the crematorium. These respondents were chosen by applying snow-ball sampling. To find the underlying determinant(s), explanatory factor analysis was used. Data for this study is collected by surveying the respondents using self-administered questionaire on January to March 2022. The results justify there are four factors determine Hindu community in Bali has become accustomed to use crematorium for ngaben. These factors are (a) the quality of the crematorium service as the organizer of ngaben ceremony, (b) conformity of cremation ceremony with conventional cremation, (c) the family's trust and the absence of objections from the traditional village; (d) and consideration of the economic dimension. These factors able to explain the determinant of Hindu balinese people conducted ngaben at crematorium as much as 63 percent.
FAKTOR KEPATUHAN MASYARAKAT KOTA DENPASAR PADA PROTOKOL KESEHATAN COVID-19 IA KOMANG MERIANI; I KOMANG GDE SUKARSA; EKA N KENCANA; KETUT JAYANEGARA
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.p391

Abstract

Coronavirus disease (COVID-19) pandemic makes peoples around the world face many difficulties to do their daily activities in a normal way. To reduce the impacts of this deathly virus as well to suppress its spread, countries in the world, including Indonesia, have made protocols that regulate the activities of their citizens. This study aims to determine the group of factors that influence the compliance of Denpasar residents with the Covid-19 prevention health protocol. Population of this study is Denpasar residents aged 15 to 64 years. Applying proportional random sampling technique, 250 people who lived in four sub-districts in Denpasar were selected as respondents of the study. Questionnaire that has proven the validity of its items are distributed from March to April 2022. To determine group of factors associated with adherence to the implementation of COVID -19 protocol, explanatory factor analysis is utilized to group 24 initial items on questionnaire. The results demonstrate 7 of the 24 items did not have adequate criteria to be included as forming factors. The rests prove 6 factors behind the compliance of COVID-19 protocol, i.e. information seeking, people trust toward the protocol, infected history, caring for self and family health, comfortable and feels safe wearing a mask, and sanctions for protocol violations. These factors extracted the variance of original data around 77 percent.
PENGKLASIFIKASIAN STATUS GIZI BALITA MENGGUNAKAN ANALISIS DISKRIMINAN DIANA DIANA; MADE SUSILAWATI; I KOMANG GDE SUKARSA; I PUTU EKA NILA KENCANA
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.p395

Abstract

Nutrition is one of the risks that trigger morbidity and mortality. Malnutrition, especially at an early age, will increase infant and child mortality and have short stature as adults. The standard that can be used to measure chronic nutritional status is to classify the nutritional status of toddlers based on height according to age, one of the methods that can be used in this classification is discriminant analysis. Discriminant analysis is a statistical analysis used to classify individual status into classes or groups based on a set of variables. The classification of the nutritional status of children under five is categorized into stunting and normal groups based on the variables under five, birth length, birth weight, anemia status and mother's age during pregnancy using discriminant analysis on secondary data taken in 2015 as many as 116 samples, with birth weight as an indicator of participation in model with a classification accuracy rate of 65.6% on training data and 74% on testing data.
KLASIFIKASI PENYAKIT SIROSIS MENGGUNAKAN SUPPORT VECTOR MACHINE VANIA RISKASARI YR; I PUTU EKA NILA KENCANA; I KOMANG GDE SUKARSA
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.p404

Abstract

Cirrhosis is one type of liver disease and is caused by forming fibrosis so that changes the liver structure become abnormal. Based on the presence of ascites, varicose veins, and bleeding, cirrhosis is divided into four clinical stages. This study aims to find the best classification model of cirrhosis using the support vector machine (SVM). SVM is a supervised learning method that aims to find the hyperplane with the maximum margin. In this study, the resulted model useful for determining the cirrhosis’ stage from patients. The variables to classify are age, gender, ascites status, hepatomegaly status, spiders status, edema status, total bilirubin, total cholesterol, amount of albumin, amount of copper, alkaline phosphatase level test results, SGOT test results, amount of tryglycerides, amount of platelets, and prothrombin time. By applying radial basis function kernel, combination of parameter C and that gives the best accuracy is determined. The final model using SVM with parameters C = 1 and = 0,6 is the best model with the accuracy value of 67,86 percent.
KAUSALITAS ANTARA ANXIETY, SOCIAL PHOBIA TERHADAP PEMAIN VIDEO GAME ALEXANDER JOSEPH RIADI; I KOMANG GDE SUKARSA; NI LUH PUTU SUCIPTAWATI; EKA N. KENCANA; MADE SUSILAWATI; G.K. GANDHIADI
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.p437

Abstract

Life satisfaction is one of the most ambigious concept to take a hold on. One’s degree of life satisfaction can differ from other person even though they have a realtively similliar life. This research studies people who play video games regularly (gamers) from the age of eighteen to fifty six. As one of the common trait or stereotipically seen that gamers have difficulty in social aspect of their lifes. Using Structural Equation Modeling (SEM), the research will try to confirm the relationship between anxiety and social phobia toward life satisfaction. The final model shows that anxiety and social phobia shows a significant negative affect towards life satisfaction of gamers.
Co-Authors ADI PUTRAYASA ALEXANDER JOSEPH RIADI ANAK AGUNG ISTRI AYU PRATAMI Damayanthi, Ni Wayan Rita Desak Putu Eka Nilakusmawati DESAK PUTU PRAMI MEITRIANI DEWA AYU MADE DWI YANTI PURNAMI DIAN PRAMESTI DEWI DIAN RAHMAN Diana Diana DINI AMALIA PUTRI DOMINGGAS TEO DWI HERAYANTHI W. Eka N Kencana Eka N. Kencana EKA N. KENCANA EKA N. KENCANA EVI NOVIYANTARI FATIMAH G. K. GANDHIADI G.K. GANDHIADI Gandhiadi, GK Gandhiadi, I. G. K GEDE ARY PRABHA YOGESSWARA GUSTI AYU MADE ARNA PUTRI HANY DEVITA I GEDE AGUS JIWADIANA I GEDE SEKA SUYOGA I Gusti Ayu Made Srinadi I KETUT PUTRA ADNYANA I MADE ARYA ANTARA I MADE CANDRA SATRIA I MADE DANNY DANANJAYA I PUTU AGUS WIDHIANTARA I PUTU EKA IRAWAN I PUTU EKA N. KENCANA, I PUTU EKA N. I Putu Eka Nila Kencana I Wayan Sumarjaya I WAYAN WIDHI DIRGANTARA IA KOMANG MERIANI IDA AYU MADE SUPARTINI IDA AYU PRASETYA UTHAMI Isabel Divya Georgiana Walewangko KADEK DWI FARMANI Kencana, Eka N Kencana, Eka N. Ketut Jayanegara KOMANG AYU YULIANINGSIH Komang Dharmawan LUH KOMANG MARDIANI Luh Putu Trisna Darmayanti Made Susilawati MOCH. ANJAS A MODANA LOLITA Mohamad Dwi Agus Arianto NADIYA YUVITA RIZKI NGURAH GDE PRABA MARTHA NI GUSTI KETUT TRISNA PRADNYANTARI NI KADEK ARISKA DEWI NI KADEK SETIAWATI NI KETUT TRI UTAMI NI KOMANG AYU SRI CAHYANI NI LUH ARDILA KUSUMAYANTI NI LUH GEDE SINTA ARYATI Ni Luh Putu Suciptawati NI LUH SUKERNI Ni Made Asih NI MADE LASTI LISPANI NI MADE METTA ASTARI Ni Made Santiningsih NI MADE SEKARMINI NI MADE SUKMA PERTIWI NI MADE SUMA FRIDAYANI NI PUTU AYU DINITA TRISNAYANTI NI PUTU JULIANINGSIH NI PUTU NADYA AGUSVIANI NI WAYAN AMANDA DEWI SULISTYANINGSIH NI WAYAN NINING ISMIRANTI NI WAYAN YULIANI NISA HIDAYATI NOVA SARI BARUS NYOMAN GDE PRAJNAWIWEKA RATMASA TARAM PUTU AYU MAZIYYA PUTU EKA SWASTINI PUTU GDE BUDHA WIRYADANA PUTU MIRAH PURNAMA D. PUTU SUSAN PRADAWATI Ratna Sari Widiastuti REYNALDO PANJI WICAKSONO Riadi, Alexander Joseph Safitri, Asa Vira Tjokorda Bagus Oka TRI ALIT TRESNA PUTRA VANIA RISKASARI YR Wijayakusuma, I Gusti Ngurah Lanang Yasmin Roni Mz