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All Journal Sistemasi: Jurnal Sistem Informasi JURNAL ILMIAH GLOBAL EDUCATION
Yusron, Rizqi Darma Rusdiyan
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Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Application of Double Exponential Smoothing Method for Forecasting Laptop Sales Nurhayati, Rafika; Yusron, Rizqi Darma Rusdiyan; Sabilla, Wilda Imama; Rosiani, Ulla Delfana
Sistemasi: Jurnal Sistem Informasi Vol 14, No 1 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i1.4368

Abstract

PT Indo Bismar is a retail company focused on laptop sales. The company experiences fluctuations in laptop sales each month, which impacts inventory management as it becomes challenging to predict demand accurately. Consequently, PT Indo Bismar faces financial losses due to unsold laptops. To address this issue, a sales forecasting system has been designed to optimize inventory management more effectively and efficiently.This study applies the double exponential smoothing method to forecast laptop sales and uses the Mean Absolute Percentage Error (MAPE) to measure forecasting accuracy. The double exponential smoothing method was tested through a trial-and-error approach. This process produced varying alpha and beta values for different laptop brands and models. It involved repeated iterations to test each combination until the optimal values that yielded the best forecasting accuracy were identified. After obtaining the MAPE results through the trial-and-error approach, the average system MAPE was calculated to evaluate the overall accuracy of the system, resulting in 16.58%. This indicates that the sales forecasting system demonstrates good accuracy, as the error rate falls within the range of 10% to 20%. Therefore, the use of the double exponential smoothing method can assist PT Indo Bismar in managing inventory and making strategic decisions for future laptop sales
SystematIc Literature Review: Analisa Sistem Rekomendasi Pariwisata di Kota Palembang Khumaidi, M Khilda Agus; Huda, Muhamat Maariful; Yusron, Rizqi Darma Rusdiyan
Jurnal Ilmiah Global Education Vol. 6 No. 3 (2025): JURNAL ILMIAH GLOBAL EDUCATION
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i3.4002

Abstract

The purpose of this research is to evaluate and analyze various recommendation system methods that have been applied in the tourism industry, particularly in the city of Palembang. As many as 35 articles published between 2020 and 2025 were thoroughly reviewed using the systematic literature review (SLR) method. The research focuses on three main aspects, namely: the recommendation system approach methods used, the types of datasets utilized, and the evaluation metrics applied in tourism recommendation systems. The research results show that the Hybrid Filtering method, which combines Collaborative Filtering and Content-Based Filtering, consistently delivers the best performance in improving the accuracy and relevance of recommendations, and is effective in addressing the issues of cold-start and sparsity. The most commonly used datasets come from platforms such as TripAdvisor, Yelp, Foursquare, and OpenStreetMap, which provide user review data, geographical locations, and tourist activities. The evaluation of system performance heavily utilizes metrics such as Precision, Recall, F1-Score, MAE, and RMSE.
Co-Authors Huda, Muhamat Maariful Khumaidi, M Khilda Agus Nurhayati, Rafika Ulla Delfana Rosiani Wilda Imama Sabilla