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All Journal JURNAL SISTEM INFORMASI BISNIS POSITIF SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Majalah Ilmiah UNIKOM JIKA (Jurnal Informatika) Community Empowerment Jurnal Digit : Digital of Information Technology INFINITY : UKI TORAJA JOURNAL OF INFORMATION TECHNOLOGY Jurnal Manajemen Sistem Informasi PEDAMAS (Pengabdian Kepada Masyarakat) jabdimasunipem
Fahrudin, Rifqi
Universitas Catur Insan Cendekia
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Journal : Majalah Ilmiah UNIKOM

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PERAMALAN INFLASI MENGGUNAKAN METODE SARIMA DAN SINGLE EXPONENTIAL SMOOTHING (STUDI KASUS: KOTA BANDUNG) Rifqi Fahrudin; Irfan Dwiguna Sumitra
Majalah Ilmiah UNIKOM Vol 17 No 2 (2020): Majalah Ilmiah Unikom
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (806.36 KB) | DOI: 10.34010/miu.v17i2.3180

Abstract

ABSTRACT Inflation is one of the economic phenomena that is always interesting to discuss mainly related to its broad impact on macroeconomics, such as economic growth, external balance, competitiveness, interest rates, and even income distribution. Inflation plays an important role in determining economic conditions, so it needs to get serious attention from various circles, especially the monetary authority responsible for controlling inflation. If inflation can be predicted with high accuracy, it can certainly be used as a basis for government policy making in anticipating future economic activity. This study aims to produce inflation forecast data. The method used in this study is the SARIMA method and Single Exponential Smoothing. In forecasting the rate of inflation where data is in the form of time series, the SARIMA method can show more accurate forecasting results than using the SES method. Based on the comparison of the overall forecasting model, the SARIMA model (2,1,1)(1,1,1) 11 has the smallest error value with a MAD value of 0.117, MSE 0.023 and 0.72% for MAPE. From these results it was collected that the inflation forecasting in Bandung using the SARIMA method has a high accuracy value. Key words: Inflation, Forecasting, SARIMA, SES
Co-Authors Aan Kanivia Abdun Wijaya Agung Supriyadi Ahmad Fajar Sidik Amroni Amroni Anjas Perdana Danang Haryuda Dewi Iriani Dewi Laily Purnamasari Felicia Chandra K Fitri Asih Fransiska Fedelina Christover Genesis Angelia Gidion Aryo Nugraha Pongdatu Ine Rachmawati Irfan Dwiguna Sumitra Jessica Felicia Callista Kevin Paskah Hirawan Kusnadi Kusnadi Kusnadi Laras Yunia Lena Magdalena Lena Magdalena Lena Magdalena, Lena Leni Agustin, Leni Linda Norhan Lulu Fauziah Marsani Asfi Marsani Asfi Marsani Asfi Mochamad Rizky Alvin Fernanda Muhammad Hatta Petrus Sokibi Sukanto Pranata, Sudadi Reza Ilyasa Rizqy Imam Saputra Rohim Kurniwan Elang Saputra Shazna Al-Assyah Putri Sobi Mutohari Suhadi Parman Suhadi Parman Sukma Galih Badriana Sumitra, Irfan Dwiguna Suwandi Suwandi Suwandi Suwandi Turini Turini Viar Dwi Kartika Widyani Ayu Lestari Yuni Awalaturrohmah Solihah Yunika Renatalia Zidni Ilman Nafi'a