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Journal : Jurnal Varian

Analisis Komponen Utama pada Kondisi Aset Koperasi Simpan Pinjam di Indonesia: Data BPS Tahun 2012-2015 Bernadhita Herindri Samodera Utami; Miswan Gumanti
Jurnal Varian Vol 2 No 1 (2018)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v2i1.313

Abstract

Memasuki tahun 2000, koperasi di Indonesia didominasi oleh Koperasi Simpan Pinjam. Koperasi simpan pinjam adalah koperasi yang memiliki usaha tunggal yaitu menampung simpanan anggota dan melayani peminjaman. Manfaat ekonomi masa depan yang terwujud dalam aset adalah potensi dari aset tersebut untuk memberikan sumbangan, baik langsung maupun tidak terhadap aliran kas dan setara kepada entitas. Penelitian ini bertujuan untuk menentukan hubungan antar variabel yang mempengaruhi perkembangan aset koperasi simpan pinjam di Indonesia sejak tahun 2012-2015 dengan menggunakan Analisis Komponen Utama (AKU). AKU merupakan salah satu teknik untuk menganalisis data berdimensi besar [1].
Robust Singular Value Decomposition Method on Minor Outlier Data Bernadhita Herindri Samodera Utami; Trisnawati Trisnawati; Rani Pratiwi; Miswan Gumanti
Jurnal Varian Vol 4 No 1 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v4i1.857

Abstract

In multivariate statistics, Singular Value Decomposition (SVD) for a data matrix containing outliers does not provide data that can be analyzed optimally. This study aims to overcome outlier data using the Robust Singular Value Decomposition (RSVD) method and compare it with the SVD method. The analysis using the RSVD method includes several steps, namely determining the initial predictive value of the vector u and regressing it then normalizing the estimator vector β and carrying out the iteration process until convergent results are obtained. The results of this study indicate that the RSVD for dealing with minor outliers data is not influenced by initial estimates. The RSVD method is strongly influenced by the large amount of outliers data, the more extreme outliers data, the more iterations are.
Hausman and Taylor Estimator Analysis on The Linear Data Panel Model Bernadhita Herindri Samodera Utami; Agus Irawan; Miswan Gumanti; Gilang Primajati
Jurnal Varian Vol 5 No 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v5i1.1481

Abstract

Panel data modelling in the field of econometrics applies two main approaches, namely fixed effect estimators and random effects. The application of the Hausman and Taylor estimator to real data is used to test for fixed effects or random effects based on the idea that the set of estimated coefficients obtained from the fixed effect estimates is taken as a group. A good estimator is an estimator that is as close as possible to represent the characteristics of the population. The characteristics of a good estimator include unbiasedness, efficiency, and consistency. The purpose of this study is to identify the properties of the Hausman and Taylor estimator in the linear model of panel data. Based on the analysis using panel data, it is found that the Hausman and Taylor estimator on the random effects panel data is an estimator that is consistent and efficient even though it is not unbiased.
Characteristic Estimator of Interval-Censored Binomial Data and Its Application Bernadhita Herindri Samodera Utami; Dwi Herinanto; Miswan Gumanti
Jurnal Varian Vol 6 No 1 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v6i1.1847

Abstract

This study aims to determine the estimation of interval-censored data with a special distribution, namely the binomial distribution. This research is using quantitative methods, the steps are estimating parameters on the interval-censored binomial distribution using the Maximum Likelihood Estimation method. The second step shows the properties of the estimator on the interval-censored binomial distribution. The last is to determine the parameter estimation of interval-censored data from the binomial distribution in survival analysis and provide an example of research containing interval-censored observations which will then be used as a case study. The results showed that the estimator is a sufficient statistic, meaning that it is unbiased. The case study was conducted using interval-censored data regarding the study of ninety-four breast cancer patients to see which group survived longer (survival value) of the two treatments, namely patients who underwent radiotherapy alone and patients who underwent radiotherapy followed by adjuvant chemotherapy.