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All Journal Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Konstanta : Jurnal Matematika dan Ilmu Pengelatuan Alam
Septi Melani Putri Tambunan
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Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Immunology & microbiology Mathematics

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Menentukan Nilai Premi Tunggal Bersih Asuransi Jiwa Seumur Hidup Menggunakan TMI IV Tahun 2019 dengan Variasi Uang Pertanggungan (UP) Diah Ayu Lestari; Kasih Simbolon; Septi Melani Putri Tambunan
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 3 No. 1 (2024): April : Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v3i1.2276

Abstract

Life insurance is an agreement made by the insurance company as the party responsible for providing the guarantee in the form of providing money as risk compensation if an event occurs, such as the death of an insurance participant. As compensation, the insurance participant has the obligation to pay a certain amount of premium to the insurance company. Single premium is a premium payment method that is made once at the beginning. Single premium is a way of paying insurance premiums that are paid all at once at the beginning. Sum Insured is funds that will be given the insurance company to the heirs as a replacement if the insurance participant dies. The purpose of this research is to determine the premium value and compare the premium value if various sums insured are given. And it was found that the greater the sum insured, the greater the premium value that must be paid, and the older a person is when taking out life insurance, the greater the premium value that must be paid.
Prediksi Hasil Produksi Kopi Provinsi di Pulau Kalimantan Menggunakan Analisis Rantai Markov Reynaldy Hutabarat; Satria Rizky Silaban; Septi Melani Putri Tambunan
Konstanta : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 2 (2024): Juni : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/konstanta.v2i2.3629

Abstract

This research discusses the prediction of coffee production outcomes in Kalimantan using Markov chain analysis. A Markov chain is an analytical technique that can be used to predict future changes based on past changes. The aim of this study is to determine the predicted coffee production results in Kalimantan from 2023 to 2025 based on Markov chain analysis. Based on the results of the Markov chain analysis of coffee production data in Kalimantan from 2018 to 2022, it is concluded that the predicted coffee production results in 2024 are as follows: West Kalimantan Province is expected to produce 3.5632 thousand tons, Central Kalimantan Province 0.3275 thousand tons, South Kalimantan Province 1.3727 thousand tons, East Kalimantan Province 0.1934 thousand tons, and North Kalimantan Province 0.1539 thousand tons. Furthermore, in 2025, the coffee production in West Kalimantan Province is predicted to reach 3.5935 thousand tons, Central Kalimantan Province 0.3304 thousand tons, South Kalimantan Province 1.3857 thousand tons, East Kalimantan Province 0.1952 thousand tons, and North Kalimantan Province 0.1554 thousand tons.
Co-Authors Diah Ayu Lestari Kasih Simbolon Reynaldy Hutabarat Satria Rizky Silaban