Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Trigonometri: Jurnal Matematika dan Ilmu Pengetahuan Alam Parameter: Jurnal Matematika, Statistika dan Terapannya
Ndruru, Albert Servant
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Economics, Econometrics & Finance Mathematics Physics

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
ANALISIS REGRESI LOGISTIK BINER TERHADAP FAKTOR-FAKTOR RISIKO KECELAKAAN LALU LINTAS DI INDONESIA Amalia, Seila; Putri, Amelia; Sianturi, Michael Dolly; Hutapea, Risca Octaviani; Ndruru, Albert Servant; Arnita
Trigonometri: Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 5 No. 2 (2024): Trigonometri: Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : Cahaya Ilmu Bangsa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3483/trigonometri.v5i2.9021

Abstract

Penelitian ini menganalisis faktor-faktor yang memengaruhi tingkat keparahan kecelakaan lalu lintas di Indonesia menggunakan regresi logistik biner. Data dari Kaggle mencakup variabel usia, jenis kelamin, pengalaman berkendara, pencahayaan, dan cuaca. Hasil menunjukkan bahwa pencahayaan buruk dan cuaca buruk signifikan meningkatkan peluang kecelakaan fatal masing-masing sebesar 88,8% dan 96,5%. Model regresi memiliki akurasi 76% dengan kecocokan data yang baik (p-value Hosmer-Lemeshow = 0,144). Temuan ini memberikan wawasan penting untuk kebijakan keselamatan dan pengembangan infrastruktur.
Pengaruh Tingkat Bunga Diskrit dan Jangka Waktu Pinjaman terhadap Skema Amortisasi dan Total Biaya Pelunasan Utang Ndruru, Albert Servant; Simangusong, Enjelita; Simanjuntak, Ferdyanto Abangan; Harefa, Alfon Brian
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 11 No. 3 (2025): Juni 2025
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v11i3.4066

Abstract

This study analyzes the effect of discrete interest rates and loan terms on the amortization scheme and total debt repayment costs. Debt amortization is a method of paying off loans periodically consisting of principal and interest. Variations in interest rates and loan terms can affect the amount of installments, the proportion of interest payments to principal, and the total costs that must be paid by the borrower. Using a quantitative approach and numerical simulation, this study evaluates the relationship between these variables to understand their impact on the debt repayment structure. The results show that higher interest rates increase total interest expenses, while longer loan terms can reduce monthly installments but increase total repayment costs due to interest accumulation. These findings are expected to help financial institutions in formulating optimal credit policies and provide guidance for borrowers in choosing the most efficient loan scheme.
BINARY LOGISTIC REGRESSION ANALYSIS OF TRAFFIC ACCIDENT RISK FACTORS IN INDONESIA Amalia, Seila; Putri, Amelia; Sianturi, Micahel Dolly; Hutapea, Risca Octaviani; Ndruru, Albert Servant; Arnita, Arnita
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 1 (2025): 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/parameterv4i1pp63-72

Abstract

This study analyzes the factors influencing the severity of traffic accidents in Indonesia using binary logistic regression. Data from Kaggle includes variables such as age, gender, driving experience, lighting conditions, and weather conditions. The results indicate that poor lighting and adverse weather significantly increase the likelihood of fatal accidents by 88.8% and 96.5%, respectively. The logistic regression model achieves 76% accuracy with a good data fit (Hosmer-Lemeshow p-value = 0.144). These findings provide valuable insights for traffic safety policies and infrastructure development.
Co-Authors Amalia, Seila Arnita Arnita Arnita Harefa, Alfon Brian Hutapea, Risca Octaviani Putri, Amelia Sianturi, Micahel Dolly Sianturi, Michael Dolly Simangusong, Enjelita Simanjuntak, Ferdyanto Abangan