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All Journal Epsilon: Jurnal Matematika Murni dan Terapan Jurnal Matematika Sains dan Teknologi Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Sumber Daya Manusia
Lestia, Aprida Siska
Program Studi Matematika FMIPA Universitas Lambung Mangkurat
Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Transportation Other

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Journal : Epsilon: Jurnal Matematika Murni dan Terapan

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KARAKTERISTIK UKURAN RISIKO DISTORSI Rusidawati Rusidawati; Aprida Siska Lestia; Saman Abdurrahman
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol. 16(1), 2022
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (364.513 KB) | DOI: 10.20527/epsilon.v16i1.5175

Abstract

Insurance is a risk transfer from the insured to the insurer. In general insurance companies are grouped into two types that life insurance and general insurance. For measure risk in general insurance the method used is using a measure of risk. In the study of risk management, there is one method forming risk measure known a distortion function. The purpose of this study is prove theorems of properties a measure of coherent and consistent risk of distortion. In this study explain the formation of a measure of risk distortion using a distortion function, indicates that if the distortion function is a concave function and shows the consistency of risk distortion measures preserve second order stochastic dominance and show coherence and consistency several of distortion risk measures. The results of this study concave distortion function is a necessary condition and sufficient condition for coherence and a strictly concave distortion function is a necessary condition and sufficient condition for strict ordering consistent with preserve second order stochastic dominance.
ASURANSI JIWA BERJANGKA LAST SURIVOR Yogi Apriyanto; Yuni Yulida; Aprida Siska Lestia
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 12, No 2 (2018): JURNAL EPSILON VOLUME 12 NOMOR 2
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.859 KB) | DOI: 10.20527/epsilon.v12i2.316

Abstract

Dalam asuransi jiwa untuk mendapatkan uang pertanggungan seperti yang dijanjikan dalam polis asuransi, tertanggung haruslah membayar premi kepada penanggung dan penanggung akan memberikan santunan kepada ahli waris jika tertanggung meninggal dunia. Pembayaran premi dapat dilakukan secara sekaligus dalam satu kali pembayaran di awal perjanjian (premi tunggal) atau secara berkala (premi tahunan). Asuransi jiwa menyediakan perlindungan untuk satu orang (single life) maupun dua orang atau lebih (multiple life). Pada asuransi multiple life terdapat dua istilah berdasarkan status kematian dari kumpulan tertanggung yaitu joint life dan last survivor. Asuransi last survivor yaitu asuransi jiwa dimana uang pertanggungan dibayarkan pada ahli waris apabila orang terakhir dari sekelompok tertanggung telah meninggal dunia. Jika tertanggung mengikuti asuransi selama n tahun dan semua tertanggung meninggal dunia dalam jangka waktu tersebut untuk menerima uang pertanggungan, maka jenis asuransi yang digunakan adalah asuransi jiwa berjangka last survivor. Tujuan dari penelitian ini adalah untuk membentuk rumusan premi tahunan pada asuransi jiwa berjangka last survivor untuk tiga tertanggung. Penelitian ini bersifat studi literatur. Hasil dari penelitian ini terbentuknya suatu rumusan premi tahunan asuransi jiwa berjangka last survivor untuk dua orang tertanggung dan untuk tiga orang tertanggung.Kata kunci : Asuransi Jiwa Berjangka, Premi Tahunan, Last Survivor.
MODEL EPIDEMIK PENYAKIT DIARE DENGAN FUNGSI INSIDENSI HOLLING TIPE DUA Yuni Yulida; Aprida Siska Lestia; Riska Fitria; Azkia Khairal Jamil
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol. 16(2), 2022
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v16i2.6642

Abstract

Model epidemik merupakan salah satu bentuk model matematika di bidang epidemologi. Penyakit diare adalah salah satu penyakit menular yang dapat dicegah melalui treatment. Tujuan penelitian ini adalah untuk menjelaskan terbentuknya model epidemik penyebaran penyakit diare,  menganalisis kestabilan model, dan membuat simulasi numerik. Penelitian ini menggunakan metode linierisasi untuk melinierkan model nonlinier. Metode matriks next generation  untuk menentukan Basic reproduction number  dan metode runge kutta orde empat untuk melakukan simulasi model. Hasil dari penelitian ini, diperoleh model epidemik penyakit diare berbentuk Model SIRT (Susceptible, Infected, Treatment, Recovered) dengan fungsi insidensi Holling Tipe 2. Selanjutnya, diperoleh dua titik ekulibrium dan diperlihatkan bahwa  berperan penting dalam proses penyebaran penyakit. Jika   maka titik ekuilibrium bebas penyakit stabil asimtotik sehingga populasi akan terbebas dari wabah penyakit. Sebaliknya jika  maka titik ekuilibrium endemik stabil asimtotik sehingga penyakit akan selalu ada dalam populasi. Berdasarkan nilai indeks sensitivitas menunjukkan bahwa parameter laju kontak efektif dan laju kelahiran  adalah parameter yang paling sensitif (berbanding lurus) terhadap perubahan nilai . Selanjutnya, simulasi model diberikan untuk memperlihatkan ilustrasi terhadap analisa kestabilan model
REGRESI PANEL DALAM ANALISIS NILAI TUKAR PETANI TANAMAN PANGAN (NTTP) LIMA PROVINSI PENGHASIL BERAS TERBESAR DI INDONESIA Maria Ulfah; Aprida Siska Lestia; Fuad Muhajirin Farid
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol. 16(2), 2022
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v16i2.7168

Abstract

To assess the success of development in agriculture can be done by looking at the level of welfare of farmers, which can be measured from the Farmer Exchange Rate (NTP). NTP is the ratio between the price index value received by farmers and the price index value paid by farmers. NTP is suspected to have a relationship with various factors, where to determine the influence of these factors can be done through modeling both as response variables and predictor variables. NTP values in several sectors can be observed from an object of research in a certain period of time. Therefore, panel data regression can be used in modeling the relationship between NTP and the factors that influence it. The purpose of this research is to analyze the factors that are thought to influence the Food Crop Farmer Exchange Rate (NTTP) by using panel data regression. The factors referred to are land area, harvested area, production, productivity, GRDP of the agricultural sector, inflation, and the consumer price index.. The data used comes from the five largest rice-producing provinces in Indonesia according to data from the Ministry of Agriculture in 2020. This research data is sourced from the website of the Badan Pusat Statistik (BPS) and the Indonesian Ministry of Agriculture for the 2008-2017 time period. The independent variabels in the study were land area, harvested area, production, productivity, agricultural sector GDP, inflation, and the consumer price index, while the dependent variabel was NTTP. The results of the regression analysis, it can be concluded that the Common Effect Model is the best model of the NTTP panel regression in 5 provinces of Indonesia with an R-Squared value of 53.25% and an error value of 7.55% accuracy of the estimation results using MAPE. This shows that the factors that are thought to affect NTTP such as Productivity, Inflation, and CPI have a significant influence, while the variabels of Land Area, Harvest Area, Production, GRDP of the Agricultural Sector are not significant in the regression model and the rest is influenced by other factors. outside of this research. The value of the MAPE accuracy error rate shows a percentage below 10% which means the forecast value is very accurate.
Co-Authors Anita Khumaida Azkia Azkia Azkia Khairal Jamil Dewi Anggraini Dewi Anggraini Dewi Anggraini Dewi Sri Susanti Fatiya Hanifah Fitriani Fitriani Fuad Muhajirin Farid Kasim Alfarisi Maria Ulfah Muhammad Afief Balya Muhammad Meidy Maulana Nabila Septiani Nada Agustina Nadya Pratiwi Noor Baitirahmah Nur Salam Pardi Affandi Rabiatul Zannah Riska Fitria Rusidawati Rusidawati Saman Abdurrahman Sekar Wahyuningtias Siti Jubaidah Siti Jubaidah Syifa Ajeria Thaibatun Nissa Tri Puspa Lestari Winda Adinda Tanjung Wuri Setyana Sari Yogi Apriyanto Yuana Sukmawaty Yuana Sukmawaty Yuni Yulida