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This Author published in this journals
All Journal Jurnal Pengabdian Masyarakat Bestari (JPMB) Journal of Mathematics, Computation and Statistics (JMATHCOS)
Clara Della Evania
Matana University
Computer Science & IT Decision Sciences, Operations Research & Management Education Industrial & Manufacturing Engineering Mathematics Social Sciences

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Workshop on Data Analysis using Python at JNE Bakti Siregar; Clara Della Evania; Yosia
Jurnal Pengabdian Masyarakat Bestari Vol. 2 No. 2 (2023): February 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpmb.v2i2.3056

Abstract

Digital transformation has been applied to all areas of a business, fundamentally changing how a company identifies and solves problems it is depending on data analysis. However, the demand for data analysts is growing fast, yet recruiters are struggling to find them. Therefore, the Department of Statistics at Matana University felt that it was necessary to carry out a workshop on data analysis. In this case, the writer has implemented a Pengabdian Kepada Masyarakat (PKM) at JNE. The purpose of this workshop is to provide benefits to our partner company (JNE) regarding data analysis. There were twenty participants in this activity, and it was conducted using the practicum method. The instructor also involves at least two students as assistants in each session. The implication of the training is that it changes the data analysis skills of the participants, even ordinary people. Soon, the Learning Center team of JNE with Matana University will move to more advanced topics.
Comparison of Holt Winter's and SARIMA Methods on the data of the Number of Foreign Tourist Visits in Bali Province Clara Della Evania; Bakti Siregar
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4211

Abstract

The tourism sector is a critical component of a country’s economy, including in Indonesia, where its impact is felt both nationally and regionally, such as in provinces and cities. This research focuses on Bali Province and aims to conduct a comparative analysis of the Holt-Winter’s and Seasonal Auto-regressive Integrated Moving Average (SARIMA) methods for forecasting foreign tourist arrivals. The analysis centers on two primary entry points: Ngurah-Rai Airport and the seaport. The primary objective is to forecast the number of foreign tourist arrivals from February 2024 to January 2025. The results indicate that the Holt-Winter’s model has a Mean Absolute Percentage Error (MAPE) of 5.2631%, which is lower than the MAPE of 5.8920% for the SARIMA model. Additionally, the Mean Absolute Error (MAE) for the Holt-Winter’s model is 19,149.18, compared to 20,883.20 for the SARIMA model. Consequently, this study concludes that the Holt-Winter’s model provides more accurate predictions and is closer to the actual values than the SARIMA model. Bali, Holt-Winter’s, forecasting, SARIMA, tourism.
Co-Authors Bakti Siregar Bakti Siregar Yosia