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All Journal AXIOM : Jurnal Pendidikan dan Matematika Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Kajian dan Terapan Matematika
Muhammad Najib Mubarrok
Alma Ata University
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Social Sciences

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Fuzzy Time Series Markov Chain for Rice Production Forecasting Muhammad Najib Mubarrok; Uli Wildan Nuryanto; Renatalia Fika; Pandu Adi Cakranegara; Adelin Elsina Tanati
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6757

Abstract

Forecasting is an activity to get an estimate of the value that will appear in the future by paying attention to past events. Forecasting can be used as decision support in determining a policy in various fields. Forecasting can be done using statistical methods such as regression analysis, trend analysis, MA, and ARIMA. In this paper, the fuzzy time series markov chain method will be forecast which will be applied to rice production data in D.I. Yogyakarta Province. The fuzzy time series markov chain method was chosen because it does not need to meet certain assumptions so that the fuzzy time series markov chain can be applied to time series data with stationary and non-stationary patterns. This study aims to analyze fuzzy time series markov chain for rice production forecasting. This study uses time series analysis. The data used in this research is secondary data. The data used in this study is data on rice production in D.I. Yogyakarta Province in 1970-2017 taken from the website www.pertanian.go.id. Historical data consists of 48 data. Solving this research problem using fuzzy time series markov chain method. The results of the study show that forecasting with 11 fuzzy sets is declared the best forecast with a mean absolute percentage error of 4.156%. .
IMPLEMENTATION OF TRANSPORTATION METHODS IN OPTIMIZING THE DISTRIBUTION OF HIJAB PRODUCTS AT AYASHA HIJAB STORE Robiatul Adawiya; Anriany Casanova; Mufida Awalia Putri; Muhammad Najib Mubarrok; Liansya Ayu Sariperkasi
AXIOM : Jurnal Pendidikan dan Matematika Vol 11, No 2 (2022)
Publisher : Universitas Islam Negeri Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/axiom.v11i2.13743

Abstract

The problem of transportation costs is a problem faced by many companies, especially those that distribute goods from various places to various destinations, and Ayasha Hijab's company is no exception. The company has 3 stores and supplies Bella square veils from 3 different warehouses. This of course has an impact on the company's expenses considering the distance and the increasing number of requests. The researcher tries to find a solution by using the linear program transportation solution method. Researchers processed data from the Ayasha Hijab Company with the NWC model and then second processing to get optimal results with stepping stones and MODI. As a result, the optimal cost for the stepping stone and MODI models is IDR 5.125.000. The Stepping Stone and MODI methods get the optimal solution and can save costs around IDR. 3.350.000 from the NWC method with a cost of IDR. 8.475.000. Secondary data obtained from the calculation of "Ayasha Hijab Store" has a minimum cost of around IDR. 10.000.000. So that the Stepping Stone method and the MODI method can save Bella Square distribution costs of IDR. 4.875.000.
APLIKASI FUZZY DECISION MAKING UNTUK PEMILIHAN TUJUAN WISATA DI YOGYAKARTA DENGAN MENGGUNAKAN METODE TAHANI YANG DIIMPLEMENTASIKAN DENGAN GRAPHICAL USER INTERFACE (GUI) Muhammad Najib Mubarrok; Agus Maman Abadi
Jurnal Kajian dan Terapan Matematika Vol 5, No 6 (2016): Jurnal Matematika
Publisher : Jurnal Kajian dan Terapan Matematika

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Abstract

Yogyakarta  merupakan salah satu wilayah di indonesia yang  indah  dan  sarat akan nilai sejarah, selain itu Yogyakarta  juga  dikenal  sebagai  pusat  budaya  dan  pariwisata  di  Pulau  Jawa.  Hal  tersebut  menjadi  daya  tarik tersendiri  bagi  wisatawan  untuk  memilih  Yogyakarta  sebagai  tujuan  wisata  mereka.  Setiap  wisatawan  memiliki kriteria tersendiri dalam memilih tujuan wisata ditengah banyaknya obyek wisata yang ada di Yogyakarta, sehingga diperlukan  suatu  aplikasi  yang  dapat  membantu  wisatawan  dalam  memilih  tujuan  wisata  yang  sesuai  dengan kriteria.  Adapun  tujuan  dari  perancangan  aplikasi  fuzzy  decision  making  ini  adalah  membantu  wisatawan  dalam memilih  alternatif  wisata  di  Yogyakarta  yang  sesuai  dengan  kriteria  yang  diinginkan  wisatawan.  Kriteria  yang ditentukan  oleh  wisatawan  adalah  jenis  wisata,  biaya,  pemandangan/isi  museum,  keamanan,  transportasi, kebersihan,  keramaian,  dan  fasilitas.    Aplikasi  ini  menggunakan  Metode  Tahani  dalam  proses  pemilihan  tujuan wisata dengan operator AND. Aplikasi fuzzy decision making kemudian diimplementasikan dengan Graphical User Interface  (GUI)  agar  tampilan  aplikasi lebih  komunikatif terhadap  pengguna.  Tingkat  keakurasian  aplikasi  fuzzy decision making  pada uji kesesuaian obyek wisata dengan menggunakan operator AND pergandaan sebesar 75%, sedangkan  untuk  keakurasian  menggunakan  operator  AND  minimum  sebesar  93,33%.  Jadi  operator  yang digunakan selanjutnya untuk aplikasi ini adalah operator AND minimum.Kata kunci: fuzzy decision making, Graphical User Interface (GUI), obyek wisata, Metode Tahani.
Co-Authors Agus Maman Abadi Anriany Casanova Cakranegara, Pandu Adi Liansya Ayu Sariperkasi Mufida Awalia Putri Renatalia Fika Robiatul Adawiya Uli Wildan Nuryanto