Komparasi Model Prediksi Kurs Pada Masa Pandemi Covid-19 Menggunakan Neural Network Berbasis Genetic Algorithm dan Particle Swarm Optimization

  • Ali Nur Ikhsan Universitas Amikom Purwokerto
  • Primandani Arsi Universitas Amikom Purwokerto
  • Jali Suhaman Universitas Amikom Purwokerto
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Abstract

Data from Bank Indonesia shows that the rupiah exchange rate against dollar weakened at the beginning of the Covid-19 pandemic. This exchange rate volatility is an important problem in the Indonesian economy. Therefore, the prediction model for the exchange rate against the dollar is needed during the Covid-19 pandemic to predict the exchange rate during the Covid-19 Pandemic. This study is proposed to compare the prediction of the rupiah exchange rate against the dollar using the GA-based Neural Network algorithm and the PSO-based Neural Network algorithm. Initially the data was collected in the period 2019 to 2021, then the data is preprocessed. Validation used the k-fold validation technique with a ratio of 70:30, while the evaluation is carried out with the output of RMSE. The results showed that the performance of PSO and GA was the same, namely 0.020 +/- 0.006.

References

I.SimorangkirandSuseno,SistemdanKebijakanNilaiTukar,SeriKeban.,no.12.Jakarta:PusatPendidikandanStudiKebanksentralan(PPSK)BankBI,2004.[2]L.Shu,K.Shi,andH.Ye,“Exchangeratevolatilityandtrade:Theroleofcreditconstraints,”Rev.Econ.Dyn.,vol.30,no.April,pp.203–222,2018.[3]J.Caballero,C.Candelaria,andG.Hael,“Banklinkagesandinternationaltrade,”J.Int.Econ.,vol.115,pp.30–47,2018.[4]K.Kallahi-KaraiandP.Safari,“FutureexchangeratesandSiegel’sparadox,”Glob.Financ.J.,vol.37,pp.168–172,2018.[5]K.Lee,“Systematicexchangeratevariation:Wheredoesthedollarfactorcomefrom?,”Int.Rev.Econ.Financ.,vol.56,pp.288–307,2017.[6]C.-V.DemianandF.DiMauro,“Theexchangerate,asymmetricshocksandasymmetricdistributions,”Int.Econ.,vol.154,pp.68–85,2017.[7]S.S.Devi,“PengaruhInflasidanNilaiTukar/KursTerhadapIndeksHargaSahamGabungan(IHSG)yangTerdaftardiBursaEfekIndonesia(BEI)PadaMasaPandemiCovid-19BulanJanuari-Desember2020,”J.Inov.Mhs.Manaj.,vol.1,no.2,pp.139–149,2021.[8]C.PandaandV.Narasimhan,“Forecastingexchangeratebetterwithartificialneuralnetwork,”J.PolicyModel.,vol.29,no.2,pp.227–236,2006.[9]T.N.Pandey,A.Jagadev,S.Dehuri,andS.B.Cho,“Anovelcommitteemachineandreviewsofneuralnetworkandstatisticalmodelsforcurrencyexchangerateprediction:Anexperimentalanalysis,”J.KingSaudUniv.-Comput.Inf.Sci.,2018.[10]S.Mamadli,“Analysisofchaosandnonlinearitiesinaforeignexchangemarket,”inProcediaComputerScience,2017,vol.120,pp.901–907.[11]H.G.KeefeandH.Shadmanicor,“Foreignexchangemarketinterventionandasymmetricpreferences,”Emerg.Mark.Rev.,p.#pagerange#,2018.[12]F.Shen,J.Chao,andJ.Zhao,“Forecastingexchangerateusingdeepbeliefnetworksandconjugategradientmethod,”Neurocomputing,vol.167,pp.243–253,2015.[13]H.ThinyaneandJ.Millin,“AnInvestigationintotheUseofIntelligentSystemsforCurrencyTrading,”Comput.Econ.,vol.37,no.4,pp.363–374,2011.[14]T.Y.E.Nababan,B.Warsito,andA.Rusgiyono,“PemodelanWaveletNeuralNetworkuntukPrediksiNilaiTukarRupiahTerhadapDolarAS,”J.Gaussian,vol.9,pp.217–226,2020.[15]I.D.G.Budiastawa,I.Santiyasa,andC.R.A.Pramartha,“PrediksiDanAkurasiNilaiTukarMataUangRupiahTerhadapUSDolarMenggunakanRadialBasisFunctionNeuralNetwork,”J.IlmuElektron.IlmuKomput.Udayana,vol.7,no.4,2019.[16]A.H.Moghaddam,M.H.Moghaddam,andM.Esfandyari,“Stockmarketindexpredictionusingartificialneuralnetwork,”J.Econ.Financ.Adm.Sci.,vol.21,no.41,pp.89–93,2016.[17]N.Nikentari,H.Kurniawan,N.Ritha,andD.Kurniawan,“OptimasiJaringanSyarafTiruanBackpropagationDenganParticleSwarmOptimizationUntukPrediksiPasangSurutAirLaut,”J.Teknol.Inf.danIlmuKomput.,vol.5,no.5,2018.[18]P.ArsiandJ.Prayogi,“OptimasiPrediksiNilaiTukarRupiahTerhadapDolarMenggunakanNeuralNetworkBerbasiskanAlgoritmaGenetika,”J.Inform.BSI,vol.7,no.1,pp.8–14,2020.[19]E.VeriantoandS.B.D.Oetomo,“ArtificialNeuralNetworkModelwithPSOasaLearningMethodtoPredictMovementoftheRupiahExchangeRateagainsttheUSDollar,”Int.J.ofAppliedInf.Technol.,vol.04,no.02,pp.0–2,2021.[20]S.A.Wicaksono,“OptimasiSistemPenempatanMagangMenerapkanAlgoritmeGenetika,”J.Teknol.Inf.danIlmuKomput.,vol.6,no.1,2019.[21]RidwansyahandE.Purwaningsih,“ParticleSwarmOptimizationuntukMeningkatkanAkurasiPrediksiPemasaranBank,”PilarNusaMandiri,vol.14,no.1,pp.83–88,2018.[22]N.F.Istighfarin,“PenerapanMetodeParticleSwarmOptimization(PSO)DanGeneticAlgorithm(Ga)PadaSistemOptimasiVisibleLightCommunication(VLC)UntukMenentukanPosisiRobot,”J.SIMETRIS,vol.11,no.1,pp.279–286,2020.[23]M.Nabipour,P.Nayyeri,H.Jabani,S.S,andA.Mosavi,“PredictingStockMarketTrendsUsingMachineLearningandDeepLearningAlgorithmsViaContinuousandBinaryData;aComparativeAnalysis,”inIEEEAccess,2020,pp.150199–150212.

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Published
2022-01-22