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All Journal JUSTIN (Jurnal Sistem dan Teknologi Informasi) The South East Asian Journal of Management
Desmonda, Diera
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Computer Science & IT

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Prediksi Besaran Curah Hujan Menggunakan Metode Fuzzy Time Series Desmonda, Diera; Tursina, Tursina; Irwansyah, Muhammad Azhar
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 6, No 4 (2018)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (840.426 KB) | DOI: 10.26418/justin.v6i4.27036

Abstract

Iklim tropis yang memiliki dua musim, yakni musim penghujan dan musim kemarau yang seharusnya berputar setiap enam bulan sekali. Namun beberapa tahun terakhir ini, perubahan iklim global terasa ditandai dengan tidak menentunya perputaran musim kemarau maupun musim penghujan. Untuk mengetahui perubahan pola curah hujan tersebut, maka dirancanglah prediksi besaran curah hujan untuk melihat dan menganalisa pola hujan yang akan terbentuk ke depannya. Aplikasi prediksi besaran curah hujan yang akan dibangun menggunakan forecasting atau peramalan dengan metode Fuzzy Time Series. Logika fuzzy digunakan karena dapat memetakan suatu input ke dalam suatu output dan memiliki toleransi terhadap data-data yang tersedia. Adapun hasil dari penelitian yang dilakukan adalah mengimplementasikan metode Fuzzy Time Series untuk membangun aplikasi yang dapat mengolah dan menghitung pola data curah hujan serta memprediksi besaran curah hujan. Hasil dari pengujian diperoleh nilai MAPE (Mean Average Percentage Error) bervariasi tergantung jumlah data dan jumlah interval yang digunakan. Nilai MAPE terbaik yang diperoleh adalah 0,151% pada penggunaan data curah hujan periode 2015 – 2017 dengan jumlah interval 401. Perhitungan menggunakan metode Fuzzy Time Series sangat dipengaruhi oleh jumlah data yang digunakan dan jumlah interval dalam membagi data tersebut.
Understanding the Influences of Hedonic Personality towards Advertising Avoidance on Social Media Desmonda, Diera; Jimmy, So Yohanes; Annas, Mohammad
The South East Asian Journal of Management Vol. 18, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Research Aims: This study aims to investigate and explore how the hedonic personality that exists in each individual can influence avoidance behaviour towards advertisements on social media platforms. Design/Methodology/Approach: A quantitative approach with a purposive sampling technique was employed to collect data from 198 respondents who have shopped or at least searched for products on social media. The data were then analysed using the Structural Equation Modelling (SEM) technique. Research Findings: The results showed that hedonic personality affected advertising avoidance behaviour. Through multigroup analysis, this research found differences in how men and women respond to an advertisement. On the other hand, the intrusive level of an advertisement had a direct effect on ad avoidance behaviour on social media. Theoretical Contribution/Originality: This study contributes knowledge by exploring and linking hedonic personality with ad avoidance behaviour. In addition, this study analyses how those relationships are different between men and women. Managerial Implication in the South East Asian Context: The results of this study are expected to provide insights for advertisers and encourage them to consider the hedonic style when determining the target customers. Also, the results inform that the model or ad content should be differentiated when targeting men or women. Research Limitation & Implications: This study is limited in several ways, such as the demographic reach and number of respondents. Additionally, the number of social media platforms is only limited to Instagram and Facebook.
Co-Authors Annas, Mohammad Jimmy, So Yohanes Muhammad Azhar Irwansyah Tursina Tursina