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Analisis Premi dari Asuransi Pengangguran I Nyoman Widana; Ketut Jayanegara
Jurnal Matematika Vol 9 No 1 (2019)
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.2019.v09.i01.p111

Abstract

Unemployment insurance is designed to overcome some of the financial problems faced by workers who have been involuntarily terminated from their jobs. The benefit insurance is financed based on the contributory from an employer, employee or government in recent times, some developing countries have been establishing unemployment insurance. This research aims to analyze the unemployment insurance products in Indonesia. Especially to analyze the financial viability of the product. The method used is the equivalence premium principle. Based on data sourced from BPJS Ketenagakerjaan and a claim rate of 10%, it is found that a premium rate of 5% of insured wages would support a benefit level of 50% of the wages for 43 weeks. This premium rate would also support 70% of the wages for 32 weeks. Meanwhile, the premium rate of 1% of the participant wages would guarantee a benefit level of 50% for 6 weeks.
Memodelkan Impor Beras Menggunakan Regresi Data Panel Eka N Kencana; Darma Arnawa; Ketut Jayanegara
Jurnal Matematika Vol 10 No 2 (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/JMAT.2020.v10.i02.p130

Abstract

Abstract Rice is one of the world’s most important commodities. The Food and Agri-cultural Organizations estimates about 90 percent of the world’s rice is produced bycountries in the Asian continent with the rice production centers located in the ASEANregion. As an agricultural country, Indonesia is ranked third in the world rice producersafter China and India, and in the first rank of ASEAN rice producers. However, Indone-sia along with other producing countries in ASEAN also import rice. This article aimsto model rice imports from 5 ASEAN countries. Using data from FAO for the period2009–2018, 3 types of Panel Data Regression models were applied to model rice imports.The results of the analysis show Random Effect Model (REM) is the most appropriatemodel for rice imports in 5 ASEAN countries with the difference for two consecutiveyears import, consumption, and rice production was used as explanatory variables .Keywords: import, panel data, random effect, regression, rice.
Analisis Komponen Biaya Asuransi Jiwa Dwiguna (Endowment) Desak Nyoman Trisnawati; I Nyoman Widana; Ketut Jayanegara
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.p41

Abstract

Asuransi adalah suatu istilah penyediaan jasa yang bergerak dalam bidang pertanggungan atau perlindungan. Seseorang yang telah mengasuransikan dirinya akan menyetujui kontrak yang disebut dengan polis. Di Indonesia terdapat beberapa jenis asuransi jiwa, salah satunya adalah asuransi jiwa dwiguna. Asuransi jiwa dwiguna adalah asuransi jiwa yang kepada tertanggung akan diberikan sejumlah uang pada akhir asuransi sesuai dengan polis. Jika tertanggung meninggal selama masa asuransi atau setelah akhir asuransi, kepada tertanggung akan diberikan uang sebesar uang pertanggungan. Untuk memenuhi pertanggungan, akan dibayarkan sejumlah uang yang disebut dengan premi. Premi terdiri dari premi netto dan premi bruto, premi netto adalah premi yang perhitungannya hanya berdasarkan faktor mortalita, sedangkan premi bruto adalah gabungan dari premi netto dengan faktor-faktor lain seperti faktor biaya. Penelitian ini membahas tentang analisis komponen biaya pada asuransi jiwa dwiguna. Komponen dari biaya asuransi jiwa dwiguna ini adalah biaya penutupan awal, biaya pengumpulan premi dan biaya pemeliharaan.Semua perhitungan aktuaria menggunakan tabel CSO 1980 dengan bunga 9%. Dengan menerapkan metode Eliminasi Gauss Jordan besarnya komponen biaya dari asuransi jiwa dwiguna masing-masing, biaya penutupan awal sebesar dan , biaya pengumpulan premi sebesar 0,075 dan biaya pemeliharaan sebesar 2.
EVALUASI KINERJA JARINGAN SYARAF TIRUAN PADA PERAMALAN KONSUMSI LISTRIK KELOMPOK TARIF RUMAH TANGGA I Putu Eka N. Kencana; Ketut Jayanegara
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.p22

Abstract

Many methods have been applied in forecasting technics, varied fromStatistical Forecasting Methods (SFM) or Mathematical Modelling and ForecastingMethods (MMFM) to Artificial Neural Methods (ANM). This research aimedto implement and evaluate performance of Artificial Neural Network (ANN), onemethod in ANM group; for forecasting electricity consumption by household inProvince of Bali. This research used electricity consumption data from January2001 to December 2009 as basis for network’s training and validating its result.The actual data from January to December 2010 is used to evaluate the performanceof network prediction. Research shows the Mean Absolute Prediction Error(MAPE) of the ANN’s prediction is 7,56%.
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.
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.
Modeling and Analysis of the Dynamic Model of Bali Starling (Leucopsar Rothschildi) Breeding in West Bali National Park Gandhiadi, G. K.; Jayanegara, Ketut; Dharmawan, Komang
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 7, No 4 (2023): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v7i4.16313

Abstract

Antara, the official news agency of the state, reported a record-breaking population of 303 Bali starlings in the West Bali National Park (WBNP) in June 2020, attributing this achievement to the park's captive reproduction initiative. This paper presents a study on the dynamic equilibrium of Bali Starlings and proposes a mathematical model for analyzing this dynamic. The research also examines parameters ensuring the stability of the captive breeding model for Bali starlings in WBNP in a sustainable manner. The Bali starlings are categorized into two groups: those in the wild and those in captive breeding, with hatched eggs in captivity included in the latter. The dynamic model is analyzed for system stability around the endemic critical point using the Routh-Hurwitz stability criteria. As an illustrative example, a simulation is conducted to assess the model's suitability under real field conditions. The model analysis reveals that the existence of an endemic critical point can be maintained if the percentage of stolen Bali starlings or eggs reintroduced to the wild is less than the difference between the percentage of Bali starlings laying eggs and the population growth rate in WBNP. Furthermore, the stability of the endemic critical point is confirmed as long as the percentage of Bali starlings laying eggs exceeds the population growth rate. This dynamic model offers a valuable tool for evaluating the sustainability of Bali starling breeding programs and optimizing the benefits associated with their conservation efforts.  
Regresi Logistik Multinomial terhadap Faktor Pemanfaatan Jaminan Kesehatan Pasien Rawat Jalan Provinsi Bali 2023 Ni Luh Gede Arun Dayanti Purwa; Made Susilawati; IPW Gautama; Ni Luh Putu Suciptawati; Eka N Kencana; Ketut Jayanegara
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 12 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss12pp4450-4460

Abstract

Public health is one of the indicators used to measure a country's level of welfare. In the 2020–2024 National Medium-Term Development Plan (RPJMN), the government targets Universal Health Coverage (UHC) through health insurance programs. The utilization of health insurance can be influenced by various individual characteristics. This study aims to analyze the factors influencing the utilization of health insurance during outpatient care in Bali Province, using data from the March 2023 Susenas survey. In this study, a multinomial logistic regression model was used, with the dependent variable categorized into not using, BPJS PBI, and BPJS non-PBI. The independent variables analyzed include age, gender, marital status, education level, employment status, regional typology, and outpatient visit frequency. The analysis results showed that the model's accuracy was 61.63%, with significant variables including age, marital status, education level, employment status, regional typology, and frequency of outpatient care. These findings indicate that individual characteristics play a significant role in determining the utilization and type of health insurance used.