Article Per Year (5 Year)
p-Index From 2019 - 2024
0.659
P-Index
This Author published in this journals
All Journal Uniqbu Journal of Exact Sciences PARAMETER: Jurnal Matematika dan Statistika dan Terapannya
Ronald John Djami
Universitas Pattimura
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
PEMODELAN REGRESI QUANTIL DENGAN KERNEL SMOOTHING PADA FAKTOR-FAKTOR YANG MEMPENGARUHI PENYEBARAN API MALARIA DI INDONESIA: (Quantile Regression Modeling with Kernel Smoothing on Factors Affecting the Spread of Malaria Fire in Indonesia) Muhammad Yahya Matdoan; Mozart Wiston Talakua; Ronald John Djami
Uniqbu Journal of Exact Sciences Vol. 1 No. 2 (2020): Uniqbu Journal of Exact Sciences (UJES)
Publisher : LPPM UNIQBU

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (983.769 KB) | DOI: 10.47323/ujes.v1i2.24

Abstract

Regression analysis method is one of the statistical methods used to describe the relationship between two or more variables, so that a variable can be predicted from another variable. In regression analysis there are two types of approaches, namely parametric and nonparametric approaches. Estimates used to estimate the parameters in the regression analysis using the OLS method. This method is based on the mean distribution, so it is not appropriate to analyze a number of data that are not symmetrical or contain outliers. Therefore, a quantile regression method and kernel smoothing were developed that were not affected by data containing outliers and could also be used as an alternative to solving fluctuating data problems. This study uses quantile regression with kernel smoothing in the case of factors affecting malaria in Indonesia. The results show that the main factors causing the spread of malaria in Indonesia are access to proper sanitation, household factors that behave in a clean and healthy life, and the number of puskesmas and the percentage of medical personnel.  
Pengaruh Jumlah Nasabah, Harga Emas Dan Tingkat Inflasi Terhadap Penyaluran Pembiayaan Gadai Di Pt Pegadaian (Persero) Kota Ambon Tahun 2005-2019 Dengan Ordinary Least Square (OLS). Herry M. Djami; Ronald John Djami; F. Y. Rumlawang; F. Kondo Lembang
PARAMETER: Jurnal Matematika, Statistika dan Terapannya Vol 1 No 2 (2022): PARAMETER: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv1i2pp139-146

Abstract

Pegadaian adalah salah satu bentuk lembaga keuangan non Bank di Indonesia yang mempunyai kegiatan membiayai kebutuhan masyarakat, baik itu bersifat produktif maupun konsumtif, Penelitian ini bertujuan untuk menganalisis jumlah nasabah, pendapatan sewa modal dan tingkat inflasi terhadap penyaluran pembiayaan gadai di PT Pegadaian (Persero) ambon. Metode penelitian yang digunakan adalah metode kuantitatif. Pengujian hipotesis menggunakan metode Ordinary Least Square dan pengujian asumsi klasik. Data yang digunakan adalah data time series yaitu periode 2005-2019. Berdasarkan hasil analisis secara parsial jumlah nasabah berpengaruh terhadap pembiayaan gadai dengan probabilitas t-statistik sebesar 0.000. harga emas berpengaruh positif dan signifikan terhadap pembiayaan gadai dengan probabilitas t-statistik sebesar 0.016 dan tingkat inflasi tidak berpengaruh terhadap pembiayaan gadai probabilitas t-statistik sebesar 0.941. Secara simultan seluruh variabel bebas berpengaruh terhadap pembiayaan gadai PT Pegadaian (Persero) kota Ambon dengan koefesien determinasi (R2) sebesar 93,% Sesuai dengan tag line pegadaian yaitu menyelesaikan masalah tanpa masalah maka pegadaian perlu menjaga kestabilan kinerja perusahaan untuk mewujudkan ekonomi kerakyatan dalam mengembangkan perekonomian Indonesia terkususnya di kota Ambon.
PERBANDINGAN METODE DOUBLE EXPONENTIAL SMOOTHING DAN TRIPLE EXPONENTIAL SMOOTHING DALAM MEMPREDIKSI TINGKAT KRIMINALITAS Syaifullah Adam Candio; Arlene Henny Hiariey; Ronald John Djami
PARAMETER: Jurnal Matematika, Statistika dan Terapannya Vol 3 No 01 (2024): PARAMETER: Jurnal Matematika dan Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv3i01pp49-60

Abstract

From 2010 to 2022, crime in Indonesia, especially Maluku Province, tends to increase compared to previous years. Considering these problems, a crime rate prediction system is needed so that the Maluku Provincial Police is able to estimate the quantity and type of crime that is likely to occur in the future. One of the prediction methods that has been used for crime prediction is Exponential Smoothing (ES). The Smoothing method is applied to obtain predictions based on time-series data. In this discussion, the author will compare the forecasting methods of Double Exponential Smoothing, and Triple Exponential Smoothing. The Double Exponential Smoothing method is suitable to be used to provide forecasting results when a data has a certain trend pattern. This Triple Exponential Smoothing method is used when there are still dominant expression elements &; seasonal conduite shown in the data. The MAPE value for the Double Exponential Smoothing method is 20.69552 and for the Triple Exponential Smoothing method is 30.48323, it can be said that the MAPE value of the Double Exponential Smoothing method is smaller than the Triple Exponential Smoothing method. So that the Double Exponential Smoothing method is more accurate than the Triple Exponential Smoothing method to predict the crime rate.
Co-Authors Arlene Henny Hiariey F. Kondo Lembang F. Y. Rumlawang Herry M. Djami Mozart Wiston Talakua Muhammad Yahya Matdoan Syaifullah Adam Candio