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All Journal Variance : Journal of Statistics and Its Applications Tensor: Pure and Applied Mathematics Journal
Gabriella Haumahu
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Computer Science & IT Mathematics

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PERHITUNGAN PREMI DENGAN PENERAPAN DEDUCTIBLE PADA MODEL AKTUARIA UNTUK SICKNESS INSURANCE PERTANGGUNGAN SATU TAHUN Norisca Lewaherilla; Gabriella Haumahu
VARIANCE: Journal of Statistics and Its Applications Vol 1 No 1 (2019): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol1iss1page39-45

Abstract

Health insurance is an insurance product that provides benefits if the insured is exposed to the risk of an accident or illness and causes loss of income, thus requiring costs. The most important benefit in this study from sickness insurance is the reimbursement of medical expenses. The design of determining premiums by applying deductibles (flat deductibles) is seen as one of the insurance policy policies that meet the principles of determining premiums. The actuarial aspects considered in the health insurance model in this study for the calculation of premiums relating to the type of insurance benefits with expense reimbursement for a period of one year coverage, with due regard to the type of work. The purpose of this study is to see the applied of deductible to the premiums that must be paid to insurance companies that provide benefits for claims submitted. The policy of applying deductibles certainly makes the amount of reimbursement change.
Forecasting the Ambon City Consumer Price Index Using Arima Box-Jenkins Jefry Esna T. Radjabaycole; Ronald John Djami; Gabriella Haumahu
Tensor: Pure and Applied Mathematics Journal Vol 2 No 2 (2021): Tensor : Pure and Applied Mathematics Journal
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Pattimura University, Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tensorvol2iss2pp87-96

Abstract

The Consumer Price Index is an index number that measures the average price of goods and services consumed by households. The index number is the price comparison in a certain month against the previous month, in which case the price in the previous month is the price in the base year in the CPI calculation. CPI is time series data, so CPI data in the next period can be known by forecasting through time series analysis. Arima is a technique for finding the most suitable pattern from a group of data (curve fitting). Based on the results of the analysis, the best ARIMA model used in forecasting CPI in Ambon city for the period January 2007 to December 2020 is the ARIMA model (1,1,1), namely 1 = 0.9000 and 1 = 0.9933.
PEMODELAN INDEKS PEMBANGUNAN MANUSIA DI PROVINSI MALUKU DAN MALUKU UTARA DENGAN MENGGUNAKAN SPATIAL AUTOREGRESSIVE MODEL (SAR) Ronald John Djami; Gabriella Haumahu
VARIANCE: Journal of Statistics and Its Applications Vol 5 No 1 (2023): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol5iss1page37-46

Abstract

Indeks Pembangunan Manusia (IPM) di suatu wilayah dipengaruhi oleh IPM di wilayah lain yang berdekatan. Hal ini berdasarkan pada hukum Tobler yang berbunyi “segala sesuatu berhubungan dengan lainnya, tetapi hal-hal yang lebih dekat lebih terkait daripada hal-hal yang jauh. Wilayah yang lokasinya berdekatan mempunyai hubungan yang lebih tinggi daripada lokasi yang lokasinya jauh. Analisis mengenai faktor-faktor yang mempengaruhi IPM dapat dilakukan melalui regresi linier klasik. Tetapi, apabila sudah memperhitungkan lokasi, analisis regresi spasial merupakan metode yang lebih sesuai untuk digunakan. Regresi spasial merupakan pengembangan dari regresi linier klasik yang didasarkan pada adanya pengaruh lokasi pada data yang dianalisis. Spatial autoregressive (SAR) merupakan salah satu pemodelan spasial yang berkaitan dengan pendekatan area. Model SAR merupakan model yang tepat untuk pemodelan Indeks Pembangunan Manusia di Provinsi Maluku dan Maluku Utara dengan menggunakan pembobot Queen Contiguity. Berdasarkan estimasi parameter SAR terdapat empat variabel perdiktor signifikan mempengaruhi indeks pembangunan manusia yaitu variabel Harapan Lama Sekolah , Rata-rata Lama Sekolah , Umur Harapan Hidup Saat Lahir dan Pengeluran Perkapita dengan modelnya adalah .
Co-Authors Jefry Esna T. Radjabaycole Norisca Lewaherilla Ronald John Djami Ronald John Djami