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All Journal JUITA : Jurnal Informatika Jurnal Pendidikan Edutama
Septi Fajarwati
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Computer Science & IT Education

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Journal : Jurnal Pendidikan Edutama

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Perbandingan Prediksi Inflasi di Indonesia Menggunakan Model Holt-Winters Exponential Smoothing Additive dan Multiplicative Desty Rakhmawati; Muhammad Nurhalim; Septi Fajarwati
Jurnal Pendidikan Edutama Vol 10, No 1 (2023): January 2023
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30734/jpe.v10i1.2998

Abstract

Abstract: Inflation is an increase in the price of goods and services within a certain period of time. This inflation affects the welfare of a country. If inflation is stable and relatively low, the people's welfare will be better. Once the importance of inflation for society, so this study aims to predict inflation for the next period. Inflation data in this study were taken from BI, from January 2003 to November 2022. Based on these data, prediction analysis was carried out using the Holt-Winters Exponential Smoothing method, additive and multiplicative models. The two models are compared to determine the correct model for predicting inflation data using MAPE. MAPE results for both models obtained good category prediction values. And the more appropriate model in this study is the additive model. Keywords: Holt-Winters Exponential Smoothing, additive Model dan multiplicative Model.  Abstrak:Inflasi adalah kenaikan harga barang dan jasa dalam periode waktu tertentu. Inflasi ini berpengaruh terhadap kesejahteraan di suatu Negara. Apabila inflasi stabil dan relative rendah maka kesejahteraan masyarakat semakin baik. Begitu pentingnya inflasi bagi masyarakat, sehingga penelitian ini bertujuan untuk memprediksi inflasi untuk periode kedepan. Data inflasi dalam penelitian ini diambil dari BI, dari bulan Januari 2003 sampai dengan November 2022. Berdasarkan data tersebut, maka analisis prediksi dilakukan menggunakan metode Holt-Winters Exponential Smoothing model additive dan multiplicative. Kedua model tersebut dibandingkan untuk menentukkan model yang tepat dalam prediksi data inflasi dengan menggunakan MAPE. Hasil MAPE untuk kedua model di peroleh nilai prediksi kategori baik. Dan model yang lebih tepat dalam penelitian ini adalah model additive. Kata Kunci: Holt-Winters Exponential Smoothing, Model additive dan Model multiplicative.
Implementation Implementation of Technology Acceptance Model and DeLone & McLean Model for ChatGPT User Acceptance Saputra, Jefri Prayitno Bangkit; Waluyo, Retno; septi fajarwati; Hani, Nurul
Jurnal Pendidikan Edutama Vol 12 No 2 (2025): July 2025
Publisher : IKIP PGRI Bojonegoro

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Abstract

The learning style approach significantly impacts education, particularly in the Education 4.0 era, where both educators and institutions must innovate to enhance student outcomes. This study explores the use of artificial intelligence, particularly ChatGPT, in education. It integrates the Technology Acceptance Model (TAM) and DeLone & McLean models to examine how System Quality, Information Quality, and Service Quality influence Perceived Usefulness, Perceived Ease of Use, and technology acceptance. Data from 100 respondents analyzed using SmartPLS shows that System, Information, and Service Quality positively affect Perceived Usefulness and Perceived Ease of Use. Service Quality, however, does not influence Perceived Ease of Use. Perceived Usefulness and Ease of Use positively affect Attitude Toward Using, which in turn influences Behavioral Intention to Use. Finally, Behavioral Intention positively impacts Actual System Use. The model achieved an accuracy of 54.9%.
Co-Authors Desty Rakhmawati Hani, Nurul MUHAMMAD NURHALIM Saputra, Jefri Prayitno Bangkit Sarmini Sarmini Waluyo, Retno Yuyun Septiana