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Journal : Jurnal Informatika: Jurnal Pengembangan IT

Peramalan Permintaan Produk Menggunakan ARIMA Berbasis Data Mining Amiri, Yusril Izzi Arlisa; Wardati, Nanda Kurnia
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 3 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i3.8665

Abstract

Demand forecasting is a crucial component of business strategy to anticipate customer demand fluctuations and optimize inventory management. Data mining serves as an important analytical approach to uncover hidden patterns in historical data, enabling the generation of accurate predictions. This study aims to forecast the demand for association-related products at Toko As-Sakinah ’Aisyiyah using the Auto Regressive Integrated Moving Average (ARIMA) method, with Moving Average employed as a baseline comparison model. The dataset consists of monthly sales data aggregated from daily records spanning the period of January 2020 to December 2024, resulting in a total of 60 observations. The research stages followed the CRISP-DM framework, encompassing business understanding, data preparation, modeling, evaluation, and deployment. The analysis results indicate that the ARIMA(1,1,1) model is the most suitable, as it meets residual assumptions and yields lower error values compared to Moving Average. The comparison further confirms that ARIMA is more adaptive to trend patterns and short-term fluctuations. The 2025 demand projection reveals a consistent upward trend from January to December. Based on these findings, it is recommended that the store management gradually increase inventory levels to prevent supply shortages in the future
Efektivitas Flashcard Digital Sebagai Media Pedagogis dalam Pembelajaran Kosakata Bahasa Inggris: Systematic Literature Review Al Faruq, Habibatul Azizah; Wardati, Nanda Kurnia; Abdillah, Firman Puji; Putri, Sayang Indriani
Jurnal Informatika: Jurnal Pengembangan IT Vol 10, No 3 (2025)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v10i3.8668

Abstract

Vocabulary mastery is a fundamental aspect in English language learning. However, vocabulary learning is often boring and less interactive, so students have difficulty remembering and understanding new words. Digital learning applications such as flashcards offer an innovative solution to overcome this obstacle by having interactive features that can improve students' memory and learning interest. This study aims to evaluate the effectiveness of using digital flashcard applications as a pedagogical medium for teaching English vocabulary. Although some findings state that flashcards are effective in improving vocabulary in learning activities, a systematic review of the existing literature is needed to assess the extent to which digital flashcard applications have an impact on vocabulary learning both in terms of improving learning outcomes, learning motivation, and other aspects related to pedagogy. This study uses the Systematic Literature Review (SLR) method by reviewing several journals discussing the research topic. The results of the study indicate that digital flashcards as a learning media strategy can be said to be effective in improving students' vocabulary mastery ranging from elementary school, MTs, vocational high schools, to undergraduate students, which in this case can enrich vocabulary; easy, easy to recognize images, words, and meanings; Students are more active, focused, and enthusiastic when learning English; improve receptive and productive aspects in vocabulary knowledge; remembering material easily; and increasing students' learning motivation.