Rico Pradana Dita
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Penerapan Metode Adams Bashforth Moulton melalui Persamaan Logistik dalam Memprediksi Jumlah Penduduk di Kota Medan Febya Br Nasution; Dian Cintya Hasmi Br Pohan; Rico Pradana Dita; Rizq Alwi Marpaung
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 3 No. 1 (2025): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v3i1.390

Abstract

One of the biggest problems faced by several countries is the rapid increase in population growth, especially in an archipelagic country like Indonesia. One of the cities in North Sumatra Province that has experienced a significant increase in population is Medan City. This study discusses the population growth each year in Medan City. This study predicts the future population by combining historical data on population, birth rate, death rate, and migration using the Adams-Bashforth-Moulton approach in logistic modeling. This study shows the progress of the approach in predicting the population growth of Medan City. With an area of ​​265.10 thousand km2, and a population reaching 2,474,166 people in 2023. The Adams-Bashforth-Moulton method as a logistic growth model is very effective for decision making in predicting population growth in the city of Medan.
Analisis Hubungan Surat Masuk terhadap Penerbitan Surat Keluar (SPT dan SPPD Karyawan) di Kantor Bupati Langkat Menggunakan Metode Regresi Linear Erika Handayani Br Siahaan; Fadila Inka Syahfitri; Rico Pradana Dita; Rizq Alwi Marpaung; Hendra Cipta
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 3 No. 3 (2025): Juni: Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v3i3.665

Abstract

This study aims to determine the relationship between the number of incoming letters and outgoing letters in the form of Assignment Letters (SPT) and Official Travel Orders (SPPD). The research employs a quantitative approach using simple linear regression analysis, with data collected through direct observation and official document records. The findings indicate a positive relationship between incoming and outgoing letters; however, the relationship is not statistically significant (p-value = 0.068). The coefficient of determination (R²) is 0.358, meaning that 35.8% of the variation in outgoing letters is influenced by incoming letters, while the rest is affected by other factors. These results underscore the need for stronger administrative management systems to improve bureaucratic efficiency and accountability.