Komparasi Kinerja ELECTRE dan MOORA dalam Menentukan Konsentrasi Tingkat Kesuburan Sperma
Abstract views: 92
,
PDF downloads: 97
Abstract
The aim of this research is to test and compare the performance of the ELECTRE method with MOORA in decision making. By using the attribute weighting process, namely the calculation of Information Gain in both methods, the attribute weights are obtained systematically and objectively, therefore they are no longer determined by the assumptions of decision makers. The test data instrument used is a dataset from the UCI Machine Learning Repository, namely the Fertility Dataset which is data on the level of sperm fertility concentration with 100 data records, 9 attributes, 1 class variable and the data set is multivariate. The results of testing the ELECTRE and MOORA methods in this study indicate that the two methods have differences in the results of ranking the best alternative for sperm fertility concentration levels. The ELECTRE method produces A2 as the best alternative, while the MOORA method produces A16 as the best alternative. Then in terms of program execution time, the MOORA method is faster, namely 0.02 seconds, while the ELECTRE method execution time is 1.88 seconds.
References
A.I.Lubis,P.Sihombing,andE.B.Nababan."ComparisonSAWandMOORAMethodswithAttributeWeightingUsingRankOrderCentroidinDecisionMaking".20203rdInternationalConferenceonMechanical,Electronics,Computer,andIndustrialTechnology(MECnIT).pp.127-131.2020.[2]M.NashrullahIrfan,G.Abdillah,andF.Renaldi,“SistemPendukungKeputusanuntukRekomendasiPromosiJabatan,”SistemPendukungKeputusan,vol.5,no.1,pp.196–201,2015.[3]S.Wardani,I.Parlina,andA.Revi,“AnalisisPerhitunganMetodeMooraDalamPemilihanSupplierBahanBangunandiTokoMegahGracindoJaya,”JurnalNasionalInformatikadanTeknologiJaringan.,vol.3,no.1,pp.95–99,2018.[4]H.S.Utama,D.Rosiyadi,D.Aridarma,andB.S.Prakoso,“SentimenAnalisisKebijakanGanjilGenapDiTolBekasiMenggunakanAlgoritmaNaiveBayesDenganOptimalisasiInformationGain,”JurnalPilarNusaMandiri,vol.15,no.2,pp.247–254,2019.[5]S.R.Ningsih,I.S.Damanik,I.Gunawan,andW.Saputra,“SistemPendukungKeputusandenganMenggunakanMetodeElectredalamMenentukanPenerimaProgram(PIP)melaluiKartuIndonesiaPintar(KIP):StudiKasusSDSwastaAl-WashliyahMoho,Simalungun,”KonferensiNasionalTeknologiInformasidanKomputasi,vol.1,no.1,pp.264–275,2017.[6]B.Satria,“PenerapanMetodeElectreSebagaiSistemPendukungKeputusanDalamPenerimaanBeasiswa,”vol.3814,pp.1–6,2017.[7]S.Alvita,N.Intan,F.Syahputra,K.Ulfa,andG.L.Ginting,“SistemPendukungKeputusanPemilihanMekanikSepedaMotorTerbaikMenggunakanMetodeMultiObjectiveOptimizationonTheBasisofRatioAnalysis(MOORA),”vol.5,no.1,pp.66–70,2018.[8]A.I.Lubis,F.Setiawan,andLusiyanti,“PenentuanPeringkatKonstentrasiTingkatKesuburanSpermaMenggunakanMetodeMOORA,”vol.1,no.2,pp.1–6,2021.[9]Y.F.Waruwu,M.Zarlis,E.B.Nababan,andM.S.Ziliwu,“SeleksiAtributPadaAlgoritmaRadialBasisFunctionNeuralNetworkMenggunakanInformationGain,”vol.9986,no.September,pp.21–24,2018.[10]S.Sundari,S.M.Sinaga,I.S.Damanik,andA.Wanto,“SistemPendukungKeputusanPemilihanPesertaOlimpiadeMatematikaSMASwastaTeladanPematangsiantarDenganMetodeElectre,”SeminarNasionalTeknologiKomputerSains,pp.793–799,2019.[11]P.Sianturi,M.Mesran,P.Ramadhani,andN.W.Al-Hafiz,“SistemPendukungKeputusanPenentuanPenerimaBantuanOperasionalPenyelengaraan(Bop)Paud(PendidikanAnakUsiaDini)MenerapkanMetodeElectre(StudiKasus:DinasPendidikanKabupatenSimalungun),”KOMIK(KonferensiNasionalTeknologiInformasidanKomputer),vol.I,no.1,pp.20–26,2017.[12]E.Suryani,“SistemPendukungKeputusanPenerimaBantuanSiswaMiskinMenerapkanMetodeWASPASdanMOORA,”SeminarNasionalSainsTeknologiInformasi,pp.719–727,2018.[13]N.W.Al-Hafiz,Mesran,andSuginam,“SistemPendukungKeputusanPenentukanKreditPemilikanRumahMenerapkanMulti-ObjectiveOptimizationontheBasisofRatioAnalysis(Moora),”KOMIK(KonferensiNasionalTeknologiInformatikadanKomputer),vol.I,no.1,pp.306–309,2017.[14]S.Chakraborty,“ApplicationsoftheMOORAmethodfordecisionmakinginmanufacturingenvironment,”Int.J.Adv.Manuf.Technol.,vol.54,no.9–12,pp.1155–1166,2011,doi:10.1007/s00170-010-2972-0.[15]D.Assrani,“PenentuanPenerimaBantuanSiswaMiskinMenerapkanMetodeMultiObjectiveOptimizationonTheBasisofRatioAnalysis(MOORA),”JURIKOM(JurnalRis.Komputer),vol.5,no.2407–389X(MediaCetak),pp.1–5,2018.[16]Ivandari,T.T.Chasanah,andM.A.AlKaromi,“SistemPendukungKeputusanPersetujuanKreditdenganPemanfaatanInformationGainuntukPembobotanAtributKlasifikasiK-NearestNeighbour,”IC-Tech,vol.12,no.2,pp.14–19,2017.[17]A.iA.SyafitriHidayatulAA,YuitaArumS,“SeleksiFiturInformationGainiuntukiKlasifikasiPenyakitJantungMenggunakanKombinasiMetodeK-NearestNeighbordanNaïveBayes,”JurnalPengembanganTeknologiInformasidanIlmuKomputer,vol.2,no.9,pp.2546–2554,2018.
Copyright (c) 2022 Infotekmesin
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
