PEDEKATAN MODEL FUZZY TIME SERIES DENGAN ANALYTIC HIERARCHY PROCESS UNTUK PERAMALAN MAHASISWA BERPRESTASI
DOI:
https://doi.org/10.29103/techsi.v8i1.122Abstract
Fuzzy time series adalah metode peramalan data yang menggunakan prinsip-prinsip fuzzy sebagai dasarnya, sedangkan Analytic Hierarchy Process (AHP) mengambil cukup banyak aspek atau kriteria untuk memecahkan masalah yang kompleks. Dengan menggunakan kedua metode tersebut, dapat diramalkan jumlah mahasiswa berprestasi ditahun 2016, dengan data yang diambil dari tahun 2011-2015. Hasil yang dicapai untuk mahasiswa berprestasi pada tahun 2016 sebanyak 35 orang.References
. Chen, S M. dan Chia Ching Hsu (2004). A New Method to Forecast Enrollments Usin Fuzzy Time Series. International Journal of Applied Science and Engineering. 2, 3: 234-244.
. Haris, S. 2010. Implementasi Metode Fuzzy Time Series Dengan Penentuan Interval Berbasis Rata-rata Untuk Peramalan Pada Data Penjualan Bulanan.Universitas Brawijaya
. Huda. 2007. Penerapan fuzzy time series untuk prediksi harga sarung di PT.Nabatex Surabaya. Stikom.
. Kusumadewi Sri, Hartati S, Harjoko A, Wardoyo R. (2006). Fuzzy Multi Attribute Decision Making (Fuzzy MADM). Graha Ilmu. Yogyakarta.
. Sasu, Adela. (2010). An Application of Fuzzy Time Series to the Romanian Population. Bulletin of the Transilvania University of Brasov. Vol 3(52) - 2010 Seri ke-3.
. Saaty, Thomas L. (1988). Multicriteria Decision Making - The Analytic Hierarchy Process.Typeset in GreT Britain by Eta Service Typesetters) Ltd. Beccles Sufflolk Printed and Bound in the United States America.
. Saaty,Thomas L. (1980). Analytic Hierarchy Process. Mc Graw hill : New York. (2001), Decision Making with Dependence and Feedback : The Analytic Network Process. RWS Publications :Pittsburgh,PA.
. Saaty Thomas.L (1990).How to make a decision: The Analytic Hierarchy Process. European journal of operational research 48 (1990) 9-26 North-Holland.
Downloads
Published
Issue
Section
License
Authors retain copyright and grant the journal right of first publication and this work is licensed under a Creative Commons Attribution-ShareAlike 4.0 that allows others to share the work with an acknowledgement of the works authorship and initial publication in this journal.
All articles in this journal may be disseminated by listing valid sources and the title of the article should not be omitted. The content of the article is liable to the author.
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 acknowledgment 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.
In the dissemination of articles by the author must declare the TECHSI Journal as the first party to publish the article.
