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All Journal MATHunesa: Jurnal Ilmiah Matematika Innovative: Journal Of Social Science Research
Simbolon, Taing Pebrieni
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Humanities Computer Science & IT Law, Crime, Criminology & Criminal Justice Mathematics Public Health Other

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Journal : Innovative: Journal Of Social Science Research

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Penentuan Cadangan Premi dengan Metode Commissioners Asuransi Berjangka Berdasarkan Tingkat Suku Bunga Saragih, Anggi Nur Ananda; Sitanggang, Santa Falare; Simbolon, Taing Pebrieni; Sudianto Manullang; Farhana, Nurul Ain
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.16035

Abstract

Cadangan premi dipengaruhi oleh ketidakpastian suku bunga, sehingga perusahaan asuransi perlu menggunakan metode perhitungan yang tepat. Penelitian ini memiliki tujuan menyelidiki bagaimana metode Commissioners dapat diterapkan dalam penentuan cadangan premi asuransi jiwa berjangka dengan memperhitungkan variabel suku bunga yang berlaku dengan menggunakan metode Commissioners. Penelitian dilakukan dengan menggunakan dua tingkat suku bunga yang berbeda yaitu 2,5% dan 3,5% dengan pertimbangan jenis kelamin. Dari hasil penelitian diperoleh bahwa Cadangan premi selama 10 tahun dengan metode Commissioners pada suku bunga 2,5% adalah Rp 4.937.512,52 untuk perempuan dan Rp 7.375.886,65 untuk laki-laki. Dapat dilihat semakin rendah tingkat suku bunga maka akan semakin kecil nilai premi bersih tahunan dan semakin tinggi cadangan premi, di mana cadangan premi untuk seorang laki-laki lebih besar jika dibandingkan untuk seorang perempuan.
Penerapan Rantai Markov Dalam Peramalan Cuaca (Studi Kasus: Cuaca Harian Di Deli Serdang) Siboro, Alio Hutaperi; N Simanjuntak, Christina; Manullang, Maria Ayuni Isabella; Simanjuntak, Natalia Anggriani; Sitanggang, Santa Falare; Simbolon, Taing Pebrieni; Manullang, Sudianto; Nasution, Alvi Sahrin
Innovative: Journal Of Social Science Research Vol. 5 No. 3 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i3.19426

Abstract

Weather is the state of the air (about temperature, sunlight, humidity, wind speed, and so on) in a certain place with a limited period of time (KBBI). Daily weather forecasting holds significant importance in daily activities, especially in helping people and various industrial sectors adapt their activities to upcoming weather conditions. The objective of this research is to apply the Markov Chain model in daily weather forecasting in Deli Serdang. This study uses daily weather data in Deli Serdang district from March 1, 2025 to April 30, 2025. The data was sourced from the Meteorology, Climatology, and Geophysics Agency (BMKG). The research variables used are weather conditions, namely, sunny , cloudy , light rain , and rain Weather predictions for the next seven days can be carried out gradually by taking into account previous weather conditions. The results of the forecasting obtained show that the chances of each weather condition occurring in the following days can be clearly mapped, thus providing a more realistic probabilistic picture than conventional deterministic methods.
Co-Authors Manullang, Maria Ayuni Isabella Manullang, Sudianto N Simanjuntak, Christina Nasution, Alvi Sahrin Nurul Ain Farhana Saragih, Anggi Nur Ananda Siboro, Alio Hutaperi Simanjuntak, Natalia Anggriani Sitanggang, Santa Falare