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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Indonesian Journal of Business Intelligence (IJUBI)
Dadang Heksaputra
Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management

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Prediksi Rerata Harga Beras Tingkat Grosir Indonesia dengan Long Short Term Memory fadil indra sanjaya; Dadang Heksaputra
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 7 No 2 (2020): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v7i2.388

Abstract

Fluctuations in prices of food staples, especially rice price which is uncontrolled, have an impact on losses for producers and consumers. To be able to bridge these problems requires the right decision making. Prediction is one element that can be used in supporting the right decision making. Predictions in decision making are based on existing data in the present and the past so that they can be used to describe conditions that are in line with the objectives to be achieved. With accurate rice price predictions, it is expected that decision makers will be able to decide on good policies or take preventive actions to minimize losses. In this study examines the prediction of rice prices at the Indonesian wholesale level using the Recurrent Neural Network Long Short Term Memory (RNN LSTM) approach. In this study, the data used is the average rice price at the Indonesian Wholesale / Wholesale Trade Year 2010-2020 obtained from the Indonesian statistical center. The results obtained from this study indicated that LSTM method can be used to predict the price of rice at the Indonesian wholesale level quite well.
Analisis Persebaran Angka Kematian Ibu Hamil Berbasis WEB-GIS Menggunakan Metode Fuzzy Multiple Criteria Decision Making (FMCDM) di Daerah Yogyakarta Dadang Heksaputra; M.J.U Haris Bahrudin; Fatma Siti Fatimah
Indonesian Journal of Business Intelligence (IJUBI) Vol 3, No 2 (2020): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Program Studi S1 Sistem Informasi Fakultas Komputer dan Teknik Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v3i2.1504

Abstract

Abstrak-Angka Kematian Ibu (AKI) bukannya menurun, akan tetapi justru meningkat dari 228 per-1000 kelahiran hidup di tahun 2007 berdasarkan data Indonesia Demographic and Health Survey (IDHS) pada tahun 2008 menjadi 359 per-1000 kelahiran hidup di tahun 2013 berdasarkan data Indonesia Demographic and Health Survey (IDHS) pada tahun 2013 dan menjadi 305 per 1000 kelahiran hidup pada tahun 2015 dari Survei Penduduk Antar Sensus tahun 2015. Penelitian sistem informasi geografis untuk pemetaan sebaran angka kematian ibu (AKI) dengan platform web menggunakan pengolahan data fuzzy multiple criteria decision making. Sistem  mempunyai keterbaruan dalam hal pengelola data, dan visualisasi data. Sistem menggunakan web untuk memetakan persebaran AKI di Yogyakarta pada tahun 2019. Metode digunakan dalam pengelolaan data menggunakan analithic hierarchy process. Penelitian bertujuan untuk mengetahui gambaran peta visual persebaran AKI di Yogyakarta pada tahun 2019. Sebaran visualisasi data angka kematian ibu 2019 menggunakan data demografi wilayah dan beberapa indikator informasi mengenai ibu tersebut.
Co-Authors Fadil Indra Sanjaya fatma Siti Fatimah M.J.U Haris Bahrudin