Article Per Year (5 Year)
p-Index From 2019 - 2024
2.109
P-Index
This Author published in this journals
All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Applied Statistics BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics Jurnal Matematika UNAND Jurnal Statistika dan Aplikasinya JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Research in the Mathematical and Natural Sciences
Isran K Hasan
Departement Of Statistics, Faculty Of Mathematics And Natural Sciences, Universitas Negeri Gorontalo
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Research in the Mathematical and Natural Sciences

 1 
Perbandingan Model ARIMA-RBF dan ARIMA-GARCH dalam Peramalan Time Series Inflasi Provinsi Gorontalo Awalia Emiro; Isran K Hasan; Novianita Achmad
Research in the Mathematical and Natural Sciences Vol. 2 No. 1 (2023): November 2022-April 2023
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v2i1.76

Abstract

A quantitative method that is observed sequentially from time to time is a time series. In the real word, problems often occur where one method is not able to solve the problem. This research used linear and nonlinear methods by combining the ARIMA-RBF anda ARIMA-GARCH models in forecasting, and then the two models were compared based on the MAPE value. This research used monthly data on inflation for housing, water, electricity, and other fuels from 2008 to 2020. The forecast results from the ARIMA-RBF model obtained the MAPE value of 7.5%, and the ARIMA-GARCH model obtained the MAPE value of 11.8%. thus, the best model for predicting inflation in this research was the ARIMA RBF model.
Model Antrian Pelayanan Terhadap Nasabah Bank BRI Menggunakan Petri Net dan Aljabar Max Plus Sri Ayu Nurdin; Lailany Yahya; Isran K Hasan; Nurwan Nurwan
Research in the Mathematical and Natural Sciences Vol. 2 No. 2 (2023): May-October 2023
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v2i2.106

Abstract

Petri net is one model representing transitions and places connected by arrows. Max Plus Algebra is an algebraic structure in which all sets of real numbers  are equipped with max (maximum) and (addition). This research created a Petri net model of the customer service system for Bank BRI and a Max Plus Algebra model related to time to minimize service time at Bank BRI. The result is periodic time or characteristic values and vector characteristics where the values and are . The value of this vector's characteristics becomes a periodic time, which only takes 2 days 3 hours during working hours to disburse money after the client's arrival.
Co-Authors Alvitha Habibie Awalia Emiro Debyyansa Pakaya Demas Novaleda Abdul Karim Dewi Rahmawaty Isa Indrawati Lihawa Ismail Djakaria Ismail Djakaria Jefriyanto Ibrahim Khairun Nisa Humolungo Lailany Yahya LISA SYAHRIA HASIRU NISKY IMANSYAH YAHYA Novianita Achmad Nur Falaq Nurwan Nurwan Resmawan Resmawan Salmun K. Nasib Sri Ayu Nurdin Sri Endang Saleh Sumarno Ismail Tesya Sigar Winni A. Pakaya