Aplikasi Monitoring dan Prediksi Harga Komoditas Pasar Daerah Indramayu Berbasis Fuzzy Time Series

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A Sumarudin
Adi Suheryadi
Bahrainsyah Oksareinaldi
Lia Nurfadilah

Abstract

Based on data presented by the National Strategic Food Price Information Center on Monday (6/5/2019), all food commodity prices rose. Wear prices affect people's purchasing power and the main raw materials in the area. To overcome this problem, it is necessary to think that to create a site-based application that can monitor food prices and can predict food price increases, predictions are expected to be a purchasing decision support system to control prices. The methodology used in this application is V Model, the programming language used is PHP using the Laravel 5.8 framework to develop the application. This application uses the Fuzzy Time Series method, which is to forecast or predict the price of commodity types. Is to provide information related to commodity prices in the market, also predict the price of commodity types for the months ahead, this is intended to take action to compile a sudden increase in price. From the test results the estimated price uses the average absolute error percentage (MAPE). And the prediction results obtained with a MAPE value of -0.013%.

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References

[1] Otwell, Taylor. 2018. Documentation Laravel 5.7. https://laravel.com/docs/5.7. Di akses pada tanggal 10 Maret 2019.
[2] Purwanto. 2017. Metodologi System Development Life Cycle (SDLC). https://medium.com/@purwanto.dev/metodologi-system-development-life-cycle-sdlc-2f0349df1364. Diakses pada tanggal 15 Maret 2019.
[3] Developers, Kudo. 2016. Mengenal RestFul API. https://kudo.co.id/engineering/2016/09/15/mengenal-restful-api/. Diakses pada tanggal 14 Maret 2019.
[4] Feridi. 2019. Mengenal RESTful Web Services. https://www.codepolitan.com/mengenal-restful-web-services. Diakses pada tanggal 15 Maret 2019.
[5] Leokhoa. 2019. Laragon. https://laragon.org/. Diakses pada tanggal 27 Juni 2019.
[6] Booch Grady, Rumbaugh James, Jacobson Ivar. 2005. The Unified Modeling Languange User Guide Second Edition (Addison Wesley Profesional). https://www.researchgate.net/publication/234785986_Unified_Modeling_Language_User_Guide_The_2nd_Edition_AddisonWesley_Object_Technology_Series. Diakses pada tanggal 28 Juni 2019.
[7] Pandjaitan, Lanny W. (2007). Dasar-dasar Komputasi Cerdas. Lokasi: C.V Andi Offset (Penerbit Andi), Yogyakarta, (2007).
[8] Fathansyah. 2015. Basis Data Reviv Kedua. Lokasi: Informatika Bandung, Bandung.
[9] Silaban Adola, S. Silababan Wahyu, Agustina Anna, A. Lubis Riski, dan C. Sianturi Nova. 2016. Unified Modelling Language.
[10] Barjtya Sahil, Sharma Ankur, Rani Usha. 2017. International Journal Of Engineering And Computer Science ISSN:2319-7242. A detailed study of Software Development Life Cycle (SDLC) Models. 6. 22097-22100.
[11] Ratnawati, Bettizza Martaleli, S.SI., M.Sc, Ritha Nola, S.T., M.Cs. 2019. Prediksi Harga Beras Metode Fuzzy Time Series Menggunakan Model Chen dan Markob Chain (Studi Kasus Kota Tanjungpinang).
[12] Sumartini, Nor Hayati, M., dan Wahyuningsih, Sri. 2017. Peramalan Menggunakan Metode Fuzzy Time Series Cheng. Jurnal Eksponensial, 8, ISSN 2085-7829.
[13] Andika, Dwiky. 2018. Pengertian Flowchart. https://www.it-jurnal.com/pengertian-flowchart/. Diakses pada tanggal 08 Agustus 2019.
[14] Arbiyana, Mira. Model V. https://www.academia.edu/6539949/Model_V. Diakses pada tanggal 08 Agustus 2019.
[15] Himsisfo. 2016. Perbedaan White Box Testing dan Black Box Testing. http://scdc.binus.ac.id/himsisfo/2016/10/perbedaan-white-box-testing-dan-black-box-testing/. Di akses pada tanggal 13 Agustus 2019.