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All Journal Jurnal Matematika Jurnal Ekonomi Kuantitatif Terapan E-Jurnal Matematika
Eka N Kencana
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Economics, Econometrics & Finance Mathematics

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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.
Memodelkan Indeks Pembangunan Manusia Provinsi Bali dengan Regresi Data Panel Eka N Kencana
Jurnal Ekonomi Kuantitatif Terapan 2019: Vol. 12, No.2, Agustus 2019 (pp. 111-247)
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (549.486 KB) | DOI: 10.24843/JEKT.2019.v12.i02.p11

Abstract

This study is aimed to model Human Development Index (HDI) of Bali Province by applying panel data regression (PDR). HDI’s data of nine cities in Province of Bali for period 2009–2014 were used to demonstrate the ability of PDR to model. This research is directed to (1) determine which panel data regression model – Common Effect Model (CEM) vs Fixed Effect Model (FEM) – is more accurate to model the HDI’s data; and (2) to determine variable(s) that significantly affect the HDI’s. By utilizing 17 variables that are obtained from Statistics Office (BPS) of Bali, best model is developed. We concluded that FEM is more accurate than CEM in modelling HDI’s of Bali Province with coefficient of determination as much as 94.7 percent. In addition, two out of 17 variables i.e. the average length of time schooling and life expectancy proved significantly affect the HDI’s for all of cities in the Province of Bali. Keywords: HDI, life expectancy, panel data, time schooling. JEL Classification: O150, C510, C520.
ANALISIS KORELASI KANONIK PADA HUBUNGAN ANTARA SOFT SKILLS TERHADAP PRESTASI BELAJAR MAHASISWA NI PUTU JULIANINGSIH; EKA N KENCANA; KOMANG GDE SUKARSA
E-Jurnal Matematika Vol 8 No 4 (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/MTK.2019.v08.i04.p264

Abstract

The purpose of this study is to know the relationship between soft skills and learning achievement using canonical correlation analysis and to find out the dominant dimensions of soft skills and learning achievement using confirmatory factor analysis. The data used are primary data obtained by distributing questionnaires. The sampling technique used was proportional to size sampling with the number of respondents as many as 150 respondents. The results of the study with canonical correlation analysis showed that soft skills with learning achievement had a close relationship with canonical correlation values ??of 0.70397. The results of the study with confirmatory factor analysis showed that the dominant dimensions of soft skills and learning achievement were flexibility with the percentage of the variance of 69.081% and cognitive percentage of the variance of 71.706%.
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.
Co-Authors Darma Arnawa I KOMANG GDE SUKARSA IA KOMANG MERIANI Ketut Jayanegara NI PUTU JULIANINGSIH