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All Journal Journal of Mathematics UNP
Yerizon Yerizon
Mathematics Department Universitas Negeri Padang
Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

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Fuzzy Time Series Markov Chain dalam Meramalkan Nilai Tukar Mata Uang (Kurs) Antara Ringgit Malaysia dengan Rupiah Poppy Mangkunegara; Yerizon Yerizon
Journal of Mathematics UNP Vol 5, No 3 (2020): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.057 KB) | DOI: 10.24036/unpjomath.v5i3.10602

Abstract

Abstract— Currency exchange rates (exchange rates) can affect the economic stability of a country. Each country conducts international relations, one of which is Indonesia and Malaysia, namely Indonesia's export activities to Malaysia. This study aims to determine the accuracy rate of forecasting with MAPE and to determine the exchange rate (exchange rate) in the next period using the Fuzzy Time Series Markov Chain. This research is applied research with secondary data taken from the official website of Bank Indonesia. By converting the exchange rate data into linguistic values and then transferring it to a fuzzy logic group to determine the markov chain transition matrix, the forecast results can be obtained. The results of processing exchange rate data using the Fuzzy Time Series Markov Chain method obtained prediction accuracy reaching 96.78% of the actual data with a MAPE value of 3.22% and the forecast results on May 4 2020 amounting to IDR 3,468. Keywords—currency exchangerate, forecasting, markov chain fuzzy time series method.
Optimisasi Penyusunan Jadwal Menggunakan Pendekatan Pembangkit Kolom (Column Generation) Nur Shayara Kamila; Yerizon Yerizon; Meira Parma Dewi
Journal of Mathematics UNP Vol 3, No 2 (2018): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1035.531 KB) | DOI: 10.24036/unpjomath.v3i2.4680

Abstract

Abstract –  Scheduling problem can be modeled by using linear integer programming and completed using the column generation method. Column generation methods taking sub-set of the set of large columns to be resolved. This new column is generated when variables corresponding to that column potentially optimize the purpose function. The purpose of this research is to model integer program for scheduling, forming process with column generation approach, and get optimization result from scheduling. This research is the oretical research. Which is a literature study based on the relevant sources. Based on the result, obtained model scheduling problem in the form of linear integer program, the scheduling model is processed by the column generation method, that is Master Problem formation, Restricted Master Problem, then RMP is formed dual so tested using pricing problem until got optimal result. The method was applied to the sample in order to get the most optimal schedule. 
Co-Authors Meira Parma Dewi Nur Shayara Kamila Poppy Mangkunegara