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All Journal Delta: Jurnal Ilmiah Pendidikan Matematika
Elise Natalia Manurung
Universitas Pamulang
Education Mathematics

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Pengaruh Tingkat Solvabilitas, Hasil Investasi dan Beban Klaim Terhadap laba Pada PT. Asuransi PLN Putri Widiastuti; Adinda Lailatus Saadah; Elise Natalia Manurung; Tita Mufliha; Serly Fadia
Delta: Jurnal Ilmiah Pendidikan Matematika Vol. 14 No. 1 (2026): DELTA : JURNAL ILMIAH PENDIDIKAN MATEMATIKA
Publisher : Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/delta.v14i1.6703

Abstract

PT Asuransi PLN, as part of the PT PLN (Persero) group, plays a role in meeting insurance needs, particularly in the energy and infrastructure sectors. This study aims to analyze the effects of solvency ratios, investment returns, and claims expenses on the profits of PT Asuransi PLN. The method used is multiple linear regression with a quantitative approach. The independent variables in this study consist of solvency ratio (X1), investment returns (X2), and claim expenses (X3), while the dependent variable is profit (Y). The results of the analysis show that investment returns (p-value = 0.00825) have a positive and significant effect on profit, while the solvency ratio (p-value = 0.91940) does not have a significant effect at the 5% significance level. The results of the classical assumption tests indicate that the model satisfies the assumption of normality (Shapiro-Wilk p-value = 0.6461), exhibits no autocorrelation (Durbin-Watson p-value = 0.5584), and shows no heteroscedasticity (Breusch-Pagan p-value = 0.2482). Furthermore, the Variance Inflation Factor (VIF) values for solvency ratio (4.69), investment returns (1.02), and claims expense (4.7) are below the 10% threshold, indicating the absence of serious multicollinearity in the model. Overall, the regression model used is suitable for analyzing the effect of independent variables on the profits of PT Asuransi PLN.
Pendekatan Tiga Fase Biclustering untuk Mengidentifikasi Korelasi Bicluster pada Data Ekspresi Gen Penyakit Diabetes Melitus Soeganda Formalidin; Elise Natalia Manurung; Aulia Rahmawati; Muthia Arsyita Wardani; Rezi Prasetyo; Karolina Mulyati Edan
Delta: Jurnal Ilmiah Pendidikan Matematika Vol. 14 No. 1 (2026): DELTA : JURNAL ILMIAH PENDIDIKAN MATEMATIKA
Publisher : Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/delta.v14i1.6722

Abstract

This study proposes a three-phase biclustering approach to detect strong correlations between genes and conditions in Diabetes Mellitus (DM) gene expression data, focusing on obese and lean samples. The first phase employs Singular Value Decomposition (SVD) to transform the data into gene- and condition-based matrices. The second phase applies Partition Around Medoids (PAM) with Euclidean distance to generate initial biclusters. The third phase evaluates biclusters using a modified Pearson correlation-based lift algorithm, optimized for detecting additive-multiplicative patterns. Implementation on microarray data produced δ-corbiclusters with high gene-sample correlations. Applied to a DM dataset (1,331 selected genes), the SVD-PAM phase yielded 8 initial biclusters, while the modified lift algorithm refined these into 3 δ-corbiclusters with correlation values of 0.097, 0.095, and 0.085, respectively. These results demonstrate the method’s effectiveness in revealing significant gene-condition relationships in DM, highlighting its potential for advancing medical research on diabetes.
Co-Authors Adinda Lailatus Saadah Aulia Rahmawati Karolina Mulyati Edan Muthia Arsyita Wardani Putri Widiastuti Rezi Prasetyo Serly Fadia Soeganda Formalidin Tita Mufliha