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ANALISIS DERAJAT KESEHATAN MASYARAKAT PROVINSI BALI DENGAN MENGGUNAKAN METODE GENERALIZED STRUCTURED COMPONENT ANALYSIS (GSCA) PUTU NOPITA PURNAMA NINGSIH; KETUT JAYANEGARA; I PUTU EKA NILA KENCANA
E-Jurnal Matematika Vol 2 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/MTK.2013.v02.i02.p039

Abstract

The aim of this research is to determine the relationship between environmental, behavioral, health services, education, and economic variables to health status in the Province of Bali. These variables are constructs (latents ) that can not be measured directly by observation. If there was a relationship between latent and its indicators, it is recomended to use Structural Equation Modeling (SEM). In this research we used variance-based SEM i.e. Generalized Structured Component Analysis (GSCA). This method not based on many assumptions such as the data does not have a multivariate normal distribution, the sample size does is not necessary large. Moreover, GSCA provides by overall goodness-fit of the model. The result of this research indicates that the environmental, behavioral, economic and educational variable influenced health status, but health service does not significantly affect the health status; economic does not significantly affect the environment; and education does not significantly affect the behavior. The result of the FIT value ?0.450 and the AFIT value 0.429 showed that overall model in this research is not good enough because of both of these values are under 0.50.
PRODUK UNIT LINK UNTUK JOINT LIFE MENGGUNAKAN PENDEKATAN STOKASTIK NI KETUT AYU MURNIASIH; I NYOMAN WIDANA; KETUT JAYANEGARA
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.p368

Abstract

The insurance program has developed quite rapidly and the products that are displayed are only very attractive from protection products to protection and investment products known as unit link insurance. In general, unit-linked insurance products are offered with a death benefit for one person or single life. This study discusses unit link insurance with death benefits for two people or living together using profit testing calculations with a stochastic approach. This study aims to calculate the company's expectations of death benefits, profits and profits from unit link insurance for joint life using a stochastic approach. In this study, the ages of the participants of this unit link insurance are 35, 45, and 55. Premium payments of Rp4.200,000.00 are made annually for 5 years and are covered until the age of 75 years. In the research, it is expected that the profit and death benefit using the stochastic approach are as follows: if the insured ages are 35, 45, and 55 years old, the company experiences a profit of Rp9,445,498,66, Rp5,975,926.42, and Rp2, respectively. 197,106.56 and the expected death benefit value is Rp. 33,167.00, Rp. 99,007.00 and Rp. 328.005.00, respectively.
PERHITUNGAN PROFIT TESTING MELALUI PENDEKATAN STOKASTIK PADA ASURANSI UNIT LINK ULFA DIANITA; I NYOMAN WIDANA; 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.p387

Abstract

Unit-linked is one of the Insurance Products Associated with Investments. The person who purchase must pay a premium and will get investment return and a death benefits in the event of death during the policy term. So that it is important for companies to calculate cash flow which is in unit link is called profit testing. The purpose of this study is to calculate the profit testing of unit-linked insurance companies through a stochastic approach by considering the calculation of policy value. The calculation of profit testing in this study was carried out through a stochastic approach to the lognormal model. The results of this study are the calculation of profit testing on a policy issued to a life aged 25, 35, 45, and 55 produce a profitable Net Present Value. However, the profits decrease with increasing age of the insured. The results of the calculation also show that the reserve value is can handle higher risk than quantile reserve.
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.
Pengelompokan Provinsi di Indonesia Menurut Indikator Indeks Kebahagiaan Menggunakan Metode Average Linkage Ni Wayan Rita Damayanthi; Ni Luh Putu Suciptawati; Ketut Jayanegara; Eka N. Kencana
Innovative: Journal Of Social Science Research Vol. 3 No. 4 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v3i4.4665

Abstract

Analisis klaster merupakan teknik peubah ganda yang bertujuan untuk mengelompokkan objek-objek menjadi beberapa kelompok berdasarkan karakteristik yang dimiliki oleh objek tersebut. Penelitian ini bertujuan untuk mengetahui hasil pengklasteran 34 provinsi Indonesia berdasarkan indikator indeks kebahagiaan tahun 2021 menggunakan metode average linkage. Penelitian ini menggunakan ukuran jarak Minkowski dan tujuh variabel indikator indeks kebahagiaan. Berdasarkan hasil penelitian diketahui bahwa pengklasteran dengan metode average linkage membentuk empat klaster dengan nilai akurasi sebesar 53,27 persen. Klaster 1 terdiri dari 24 provinsi, klaster 2 beranggotakan tujuh provinsi, klaster 3 terdiri dari dua provinsi, dan klaster 4 beranggotakan satu provinsi yaitu Provinsi Gorontalo.
PENGELOMPOKKAN KABUPATEN DI PROVINSI JAWA TENGAH BERDASARKAN KARAKTERISTIK IKLIM MENGGUNAKAN FUZZY CLUSTERING NATALIE NOVENRODUMETASA; G. K. GANDHIADI; KETUT JAYANEGARA
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.p442

Abstract

There are many factors affecting human life, one of which is climate. Differences in climatic conditions in each region result in differences in the environment in society. The differences are referred to as potential natural resources, livelihoods, and social cultural conditions. The climate has an impact on culture in terms of how people dress, the shape of houses, and so on. The regency group in Central Java Province is based on similarities in climate characteristics using fuzzy clustering. The data used were taken from Central Java Provincial Statistical Office in 2022.The results of district grouping in Central Java Province are based on similarities in climate characteristics using fuzzy clustering with 4 different number of clusters and the validity tests of the Partition Coefficient and Classification Entropy indices. Based on the results of the index validity test, the optimal grouping results are 2 clusters with a Partition Coefficient value of 0.911233 and a Classification Entropy value of 0.07979. The 1st cluster consists of 13 districts with a cluster center at 27.9°C for air temperature, 2418mm for rainfall, and 804% for keelThe 2nd cluster and airbase consist of 22 cluster central districts at 26.6 °C for air temperature, 4087 mm for rainfall, and 81.3% for humidity.
PENGARUH CITRA MEREK DAN KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN IPHONE NATASHA RANI BORU PURBA SIGUMONRONG; G.K. GANDHIADI; KETUT JAYANEGARA
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.p449

Abstract

The mechanical advances of this cutting-edge time have significantly affected the manner in which individuals live, the most significant of which is in the part of communication. Handheld phones are communications devices that are being used today. The large number of customers' demands for smart phones due to the advantages of the features they possess make companies compete to be far superior to their rivals. The examination is pointed toward taking a gander at the impact of brand picture and item quality on iPHONE buy choices in Denpasar City. The method used is a partial least square with three latent variables in particular brand image, product quality, and purchase decision. The results obtained are brand image & product quality effect on the iPHONE purchase decision in Denpasar city. Brand image and product quality can explain or affect iPHONE purchase decisions by percent.
Identifikasi Faktor-faktor Kerukunan dalam Masyarakat Multietnis Nhadya Almar Putri; Eka N. Kencana; Ketut Jayanegara
Jurnal Yudistira : Publikasi Riset Ilmu Pendidikan dan Bahasa Vol. 2 No. 2 (2024): April : Jurnal Yudistira : Publikasi Riset Ilmu Pendidikan dan Bahasa
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/yudistira.v2i2.681

Abstract

The development of ethnic diversity in Indonesia poses challenges in social interactions. This study aims to identify the factors influencing inter-ethnic harmony in the Jalan Gajah Mada area, Denpasar. Using a qualitative approach, data were obtained through observations and interviews. The results show that intense inter-ethnic interactions support cultural acculturation, reduce conflicts, and enhance harmony. Factors such as tolerance, cultural exchange, and economic harmonization play crucial roles in creating a harmonious environment. In conclusion, understanding these factors is important for maintaining progress and harmony in multi-ethnic areas like Jalan Gajah Mada, Denpasar, and can be applied in other regions facing similar conflicts. The research findings indicate two factors in each dimension, with the general cooperation factor being the most dominant at 49.176%, followed by non-religious tolerance at 42.351%, freedom of religion at 41.858%, support for inter-ethnic humanitarianism at 26.290%, inter-ethnic cooperation at 20.838%, and finally inter-religious tolerance at 20.107%.
Penerapan Metode K-means Pada Klasterisasi Provinsi di Indonesia Berdasarkan Indikator Indeks Kebahagiaan Damayanthi, Ni Wayan Rita; Suciptawati, Ni Luh Putu; Jayanegara, Ketut; Sukarsa, I Komang Gde; Kencana, Eka N.; Wijayakusuma, I Gusti Ngurah Lanang
Jurnal Matematika Vol 14 No 1 (2024)
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.2024.v14.i01.p172

Abstract

The happiness index is a measure that reflects individual well-being, thus playing an important role in the development of a region. The level of happiness in Indonesia is still significantly lower compared to other ASEAN countries. In relation to efforts to improve the happiness index in Indonesia, this study applies the K-means method to cluster the 34 provinces of Indonesia based on the indicators of the happiness index for the year 2021. The data used is sourced from publications by the Indonesian Central Bureau of Statistics with seven happiness index indicators and employing the Minkowski distance. The clustering results of the 34 provinces using the K-means method obtained four clusters with a cluster accuracy value of 71 percent. Cluster 1 consists of seven provinces with a fairly high average of seven attributes, cluster 2 consists of seven provinces is a cluster with a low average level of internal and external satisfaction, cluster 3 consists of four provinces with a high average of seven attributes, and cluster 4 consists of 16 provinces is a cluster with provinces with a fairly high average level of external satisfaction, but a low level of internal satisfaction.
IDENTIFICATION OF FACTORS IN SELECTING HIGH SCHOOL USING FACTOR ANALYSIS Suciptawati, Ni Luh Putu; Jayanegara, Ketut
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.905 KB) | DOI: 10.30598/barekengvol16iss1pp083-090

Abstract

Parents want the best education for their children. Before starting the academic year, parents focus on finding the most suitable schools for their children. This study aimed to examine the factors affecting parents’ decision-making when selecting schools. A sample of 150 parents whose children are incoming high school students in 2020/2021 is involved in this study and selected using a snowball sampling technique and confirmatory factor analysis. This study has shown that the quality of the teachers is the factor that parents consider the most in their decision-making process. It is followed by the tuition and fee costs, the school facilities, and the school achievements.