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Analisis Faktor yang Mempengaruhi Angka Melek Huruf di Indonesia Dengan Regresi Robust Pratiwi, Indy; Triono, Wira; Panjaitan, Rizky Rafiza; Rambe, Risa Rozzaqi; Dalimunthe, Syairal Fahmy
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 2 (2025): March
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15073386

Abstract

This study aims to analyze the factors that affect literacy rates in Indonesia using a robust regression approach. The data used included data from 34 provinces, focusing on the dependent variables, namely the literacy rate and the independent variables, namely the average length of schooling, the number of teachers, out-of-school children, PDRB per capita, and the number of poor people. The results of the analysis show the equation Y ?=97.7766-0.41220PCA1-0.2886PCA2-0.000002x_4. where PCA1 = a combination of X1 and X2 and PCA2 = a combination of X2 and X5. Every 1 unit increase in PCA1 will reduce the literacy rate by about 0.4120 or 41.2%, an increase of 1 unit of PCA2 will reduce the literacy rate by about 0.2886 or 28.86%, while in x_4 it only affects about 0.00022%. The number of children who do not attend school, children who drop out of school and the number of poor people can significantly increase the illiteracy rate. Efforts that can be made by the government are to facilitate education so that all groups can access education and educate the public that education is very important and will be the foundation of the nation and state in the future..
Peran Asrama Sahabat Yatim Medan Aksara Dalam Mengembangkan Potensi dan Kepercayaan Diri Anak Asuh N, Nurmayani; Zahra, Hafizha; Pratiwi, Indy; Sinaga, Anita; Asura, Miftah
Madani: Jurnal Ilmiah Multidisiplin Vol 3, No 2 (2025): March
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.15062984

Abstract

This research examines the role of Sahabat Yatim Medan Aksara Orphanage in fostering the potential and self-confidence of foster children. Orphans often face emotional, social, and educational challenges due to the loss of a parental figure. This qualitative research uses in-depth interviews and direct observation methods involving foster children, staff, and orphanage facilities. The results showed that the orphanage programs are designed to meet the physical, social, and emotional needs of the children through sports activities, arts, religious education, and emotional support from the caregivers. Children are given the opportunity to explore their interests and talents, improving their self-confidence and academic performance. Adequate facilities such as study rooms, a small library, and computers support their learning process. This study concludes that Sahabat Yatim Medan Aksara Orphanage plays an important role in creating a safe and supportive environment for children's development. The study implies the importance of developing skills training programs and improving educational facilities to ensure the children's future success.
FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS TIDUR: ANALISIS MELALUI REGRESI LOGISTIK BINER Pratiwi, Indy; Sinaga, Anita; Asura, Mifta
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 3 No 2 (2024): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv3i02pp115-126

Abstract

Dengan menggunakan teknik regresi logistik biner, penelitian ini bertujuan untuk mengevaluasi variabel yang mempengaruhi kualitas tidur. Terdapat tujuh variabel yang dianalisis: umur, tingkat aktivitas fisik, gangguan tidur, penggunaan obat tidur, jenis kelamin, dan langkah harian. Penelitian ini menggunakan data sekunder dari 100 responden yang dikumpulkan dari situs Kaggle. Teknik analisis data yang digunakan adalah melakukan uji simultan dengan menggunakan uji G dan membandingkan dengan nilai chi square tabel dan secara parsial dengan parameter yang memiliki p-value tertinggi dikeluarkan sehingga diperoleh model terbaiknya. Kemudian pengukuran kebaikan model dengan koefisien determinasi dan interpretasinya. Hasil analisis menujukkan bahwa penggunaan obat tidur memiliki pengaruh signifikan terhadap kualitas tidur, dengan nilai McFadden sebesar 0.735, menandakan bahwa 73% variabilitas data dapat dijelaskan oleh model. Penelitian ini merekomendasikan bahwa perlunya intervensi untuk meningkatkan kualitas tidur dan menyarankan penelitian lebih lanjut untuk menyelidiki faktor-faktor lain yang mungkin berpengaruh.
Analisis Perbandingan Premi Asuransi Jiwa pada Model Suku Bunga Deterministik dan Stokastik Berbasis Model Vasicek Pratiwi, Indy; Sinaga, Albert Samuel; Asura, Miftah
Panthera : Jurnal Ilmiah Pendidikan Sains dan Terapan Vol. 6 No. 2 (2026): April
Publisher : Lembaga Pendidikan, Penelitian, dan Pengabdian Kamandanu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/panthera.v6i2.1232

Abstract

This study aims to analyze the comparison of life insurance premiums calculated using a deterministic interest rate model and a stochastic model based on Vasicek. Differences in interest rate assumptions are evaluated based on their impact on the Expected Present Value (EPV) and the resulting premium. The deterministic approach uses a constant interest rate of 4.93% based on the average BI Rate for the 2016–2025 period, while the stochastic approach applies the Vasicek model with Monte Carlo simulation to represent interest rate fluctuations. The data used include historical interest rates and the 2019 Indonesian Mortality Table (TMI). The results show that the EPV Benefit in the Vasicek model is 1.16% higher than the deterministic model, which results in a premium increase of 0.36% (Rp 173,592 compared to Rp 172,967). This relatively small difference indicates that the premium sensitivity to interest rate changes in this study is relatively low. This study confirms that the Vasicek model provides more realistic estimates because it captures interest rate dynamics. However, the significance of the differences is significantly influenced by the level of volatility. Therefore, the use of stochastic models in premium determination becomes more relevant in conditions of highly fluctuating interest rates.