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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%.
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.
PEMODELAN TINGKAT PENGANGGURAN TERBUKA DI PULAU JAWA MENGGUNAKAN METODE REGRESI SPASIAL STEFANI PUTRI WULANDARI; I KOMANG GDE SUKARSA; KETUT JAYANEGARA; I PUTU EKA NILA KENCANA
E-Jurnal Matematika Vol. 15 No. 3 (2026)
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.2026.v15.i03.p520

Abstract

This study aims to model the open unemployment rate (OUR) in regencies and cities in Java using a spatial regression approach. The analysis uses secondary data from 2024 covering 118 regencies and cities in Java. The response variable is the open unemployment rate, while the predictor variables include the regency/city minimum wage, average years of schooling, labor force participation rate, GRDP growth rate, and population growth rate. The analysis begins with multiple linear regression using the OLS method followed by classical assumption tests. Spatial dependence is examined using Moran’s I with several spatial weight matrices, namely queen contiguity, inverse distance, and k-nearest neighbors. The Lagrange Multiplier test is then conducted to determine the appropriate spatial regression model for each spatial weight matrix. The results show that the spatial autoregressive model (SAR) with the queen contiguity spatial weight matrix is the best model. The selected model produces a coefficient of determination of 69,37% and an AIC value of 352,46. The estimation results indicate that labor force participation rate, and population growth rate significantly affect the open unemployment rate in Java in 2024, while the spatial parameter confirms spatial dependence among regions.