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All Journal Jurnal Sains Matematika dan Statistika ESTIMASI: Journal of Statistics and Its Application Parameter: Journal of Statistics MATHunesa: Jurnal Ilmiah Matematika
Kalondeng, Anisa
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Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Journal : ESTIMASI: Journal of Statistics and Its Application

 1 
Estimasi Parameter Model Regresi Logistik Biner dengan Conditional Maximum Likelihood Estimation pada Data Panel Fitri, Fitri; Islamiyati, Anna; Kalondeng, Anisa
ESTIMASI: Journal of Statistics and Its Application Vol. 5, No. 2, Juli, 2024 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v5i2.13998

Abstract

Binary logistic regression models can be used on panel data with categorical responses that experience repeated measurements based on time. This study aims to determine the factors that influence the Human Development Index in South Sulawesi Province in 2015-2019. Data were analyzed through binary logistic regression with fixed effect model approach through Conditional Maximum Likelihood Estimation (CMLE) for panel data. The results of this study indicate that the variables that have a significant effect are life expectancy (X1), school length expectancy (X2) and the average length of schooling (X3). Obtained the probability value of districts/cities that have a medium low and medium high human development index with a classification accuracy of 56.25%.
Pemodelan Data Panel dengan Pendekatan Least Square Dummy Variable terhadap Faktor-Faktor yang Memengaruhi Kasus Kriminalitas di Sulawesi Selatan Nurdin, Afifah Mutiah; Arfan, Muh. Indirwan; Siswanto, Siswanto; Kalondeng, Anisa
ESTIMASI: Journal of Statistics and Its Application Vol. 5, No. 1, Januari, 2024 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v5i1.32128

Abstract

Crime is one of the challenges that often arises in the community environment. In the years 2020-2022, South Sulawesi ranked fourth with the highest reported crime cases in Indonesia. To avoid an increase in the crime rate, an understanding of the factors impacting these cases is necessary. This research aims to determine the fixed effect model with the Least Square Dummy Variable approach to examine the percentage of the poor population, income inequality, population density, and the total population's influence on crime cases in South Sulawesi during the years 2020-2022. The most suitable model is the Least Square Dummy Variable using an individual effect with an analysis result of  of 99.9%. The variables of the percentage of the poor population, population density, and the total population are proven to significantly influence crime cases in South Sulawesi.
Estimasi Parameter Model Three-Factor Completely Randomized Design dengan Metode Robust MM Nurkamalia, Nurkamalia; Kalondeng, Anisa; Sirajang, Nasrah
ESTIMASI: Journal of Statistics and Its Application Vol. 6, No. 1, Januari, 2025 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v6i1.18323

Abstract

When conducting experiments, it is often found that there are errors in the observed responses. It can cause data outliers to appear whose existence results in making conclusions inaccurate. Therefore, outliers need to be overcome by applying the robust regression method. The robust method used is the robust MM because it has a high level of efficiency and breakdown point. The Robust MM method is useful for obtaining parameter estimates in a three-factor Completely Randomized Design (CRD) which is applied to the data on average abdominal fat of broiler chickens experiencing outliers in four observations. The results showed that the presence of outliers caused no effect of differences in age of chicken and the interaction between age of chicken and feeding fermented kiambang on the average abdominal fat of broiler chickens. However, after the data was replaced with estimated data obtained from the Robust MM method to overcome outliers, it showed that there was an effect of age of chicken and the interaction between age of chicken and feeding of fermented kiambang on the average abdominal fat of broiler chickens.
Penggunaan Metode Copula Gaussian untuk Menentukan Nilai Value at Risk Investasi Saham pada Bank BCA dan Bank BRI Palungan, Kevin Ekarinaldo; Kalondeng, Anisa; Ilyas, Nirwan
ESTIMASI: Journal of Statistics and Its Application Vol. 6, No. 2, Juli, 2025 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v6i2.35960

Abstract

Investment is capital for one or more assets over a long period of time to obtain profits. Besides being able to provide profits, stock investment also contains an element of risk. Therefore, risk measurement needs to be done so that the risk is within a controlled level so as to reduce the occurrence of investment losses. This study uses the Gaussian Copula to calculate Value at Risk on the closing price data of PT. Bank Central Asia Tbk and PT. Bank Rakyat Indonesia Tbk for the period January 02, 2020 to December 30, 2022. For the Kendall's correlation value τ=0.3307 produces a Pearson correlation value of ρ=0.4965 which is also used as an estimate of the Copula Gaussian parameter. The results of the VaR calculation on a portfolio with a weight of 50% shares of PT Bank Central Asia Tbk and 50% shares of PT Bank Rakyat Indonesia Tbk average VaR at the 95% confidence level of -0.0269 means that if investors invest their funds by 50% in PT Bank Central Asia Tbk shares and 50% in PT Bank Rakyat Indonesia Tbk shares there is a risk that the maximum loss is 2.69% of the invested funds.
Pengelompokan Kemiskinan di Provinsi Sulawesi Selatan Tahun 2023 dengan Metode K-Means Clustering Wulandari, A. Elisha; Baso, Andi M. Alfin; Fajri, Belia Nurul; Kalondeng, Anisa; Islamiyati, Anna; Pannu, Abdullah; Fadil, Muhammad; Vallarino, Alfian Akbar; Rahman, Anugrah Nur Isnaeni
ESTIMASI: Journal of Statistics and Its Application Vol. 6, No. 2, Juli, 2025 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v6i2.45824

Abstract

Poverty remains a significant social and economic issue in South Sulawesi Province. This study aims to classify districts/cities in South Sulawesi based on poverty levels using the K-Means Clustering method. The data used were obtained from the Central Bureau of Statistics (BPS) for 2023, including indicators such as the percentage of poor population, education level, and employment sector. The Silhouette Index method was applied to determine the optimal number of clusters. The results indicate that South Sulawesi is divided into two clusters, representing high and low poverty levels. The scatter plot further reveals that cluster 1 is more varied, while cluster 2 is more concentrated. These findings can serve as a foundation for formulating more targeted policies to reduce poverty in South Sulawesi.
Co-Authors Abdia, Hikma Akhsan, Tiara Annisa Andi Isna Yunita Ania, Samsir Aditya Anna Islamiyati Arfan, Muh. Indirwan Arman, Agym Nastiar Baso, Andi M. Alfin Fajri, Belia Nurul Fitri Fitri Jelita Zalzabila Larasati, Dwi Ina Lemido, Ryo Muhammad Fadil Nabila Miftakhurriza Nailah, Fadia Nirwan Ilyas Nurdin, Afifah Mutiah Nurkamalia, Nurkamalia Palungan, Kevin Ekarinaldo Pannu, Abdullah Rahman, Anugrah Nur Isnaeni S Siswanto Sirajang, Nasrah Siswanto Vallarino, Alfian Akbar Wulandari, A. Elisha