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All Journal CARADDE: Jurnal Pengabdian Kepada Masyarakat Variance : Journal of Statistics and Its Applications Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat JUSTE (Journal of Science and Technology)
Meidy Kaseside Kaseside
Program Studi Matematika, Fakultas Ilmu Alam Dan Teknologi Rekayasa, Universitas Halmahera
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Energy Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences

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Journal : Variance : Journal of Statistics and Its Applications

 1 
ANALISIS SISTEM ANTRIAN DI DIREKTORAT KEUANGAN UNIVERSITAS HALMAHERA Meidy Kaseside Kaseside; Ravenska Tiffany Lahengking; Mario Nikolaus Dalengkade
VARIANCE: Journal of Statistics and Its Applications Vol 1 No 2 (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/variancevol1iss2page76-80

Abstract

Fenomena suatu antrian dan waktu layanan yang terjadi di direktorat keuangan Universitas Halmahera dapat dijabarkan menggunakan suatu konsep matematika mengenai distribusi peluang. Hasil penelitian menunjukan bahwa model antrian yakni secara individu. Hasil uji Poisson memperlihatkan 0,03<=0,9982 sehingga, proses antrian di direktorat keuangan universitas Halmahera berdistribusi Poisson.Sedangkan analisis waktu layanan yakni 4,606>0,352 maka, disimpulkan waktu layanan tidak berdistribusi eksponensial. Penyebab di tolaknya waktu layanan karena h1 sejak pukul 09.00‒12.00 tidak ada antrian saat layanan di kantor direktorat keuangan.
ANALISIS ANGKA KEMATIAN BAYI KABUPATEN HALMAHERA UTARA DENGAN METODE REGRESI NONPARAMETRIK SPLINE TRUNCATED Samsul Bahri Loklomin; Meidy Kaseside
VARIANCE: Journal of Statistics and Its Applications Vol 3 No 1 (2021): 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/variancevol3iss1page1-5

Abstract

Infant Mortality Rate is a reflection of infant survival which will determine the quality of life of human resources. North Maluku Province is an archipelago province with a relatively high infant mortality rate. The still high infant mortality rate in North Maluku is influenced by several factors, apart from the low equity and affordability of health services, socio-economic factors also greatly affect infant and under-five mortality rates. North Halmahera District is one of the highest IMR contributors in North Maluku Province. This study aims to mathematically analyze the infant mortality rate in North Halmahera. The results showed that all predictor variables had an effect on infant mortality. The analysis results found the best model with three point knots with a determination coefficient of 93% and a minimum GCV value of 1.52.
Co-Authors Boyke Raymond Toisuta Dalengkade, Mario Nikolaus Fiktor Imanuel Boleu Loklomin, Samsul Bahri Radios Simanjuntak Ravenska Tiffany Lahengking Samalukang, Yunius Trifena Punana Lesnussa Yusniar, Masitah