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All Journal Transformasi: Jurnal Pengabdian Masyarakat Jurnal Informatika dan Teknik Elektro Terapan RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Applied Technology and Computing Science Journal Joutica : Journal of Informatic Unisla Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Sistem Informasi Dan E-Bisnis Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
Mustain Mustain
Universitas Islam Lamongan
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science Social Sciences

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SISTEM PREDIKSI PERSEDIAAN STOK BARANG DI BUBIN CATERING MENGGUNAKAN METODE SES DAN WMA Istiana Nur Khasanah; Purnomo Hadi Susilo; Mustain Mustain
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

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Abstract

Raw material inventory management in catering businesses required an accurate planning system to prevent stock shortages and overstock conditions that could disrupt operational activities. This study aimed to develop a web-based inventory prediction system by implementing the Weighted Moving Average (WMA) and Single Exponential Smoothing (SES) methods and to compare the accuracy of both methods using the Mean Absolute Percentage Error (MAPE). The data used in this study were historical raw material usage records from Bubin Catering covering the period from March 12, 2025, to May 8, 2025. The system was developed using the Laravel framework and included inventory management, incoming goods, outgoing goods, prediction, and detailed calculation features. The results of Black Box Testing showed that all system functions operated as expected. Based on the evaluation of five raw material samples, the WMA method produced MAPE values of 33%, 36%, 24%, 55%, and 41%, while the SES method produced the best MAPE values of 32.53%, 36.80%, 56.70%, 61.00%, and 46.60%. Overall, the WMA method produced lower prediction errors for four of the five raw material samples, whereas the SES method performed better for only one sample. Therefore, the WMA method was more suitable for predicting inventory requirements using the historical data of Bubin Catering in this study.
Co-Authors Ahmad Fathoni Danang Bagus Reknadi Istiana Nur Khasanah Kurnia Yahya Kurnia yahya M Munif Mauladi , Kemal Farouq Mochammad Fajrin Munif Munif MUNIF ROCHMAWANTO Munif, Munif Purnomo Hadi Susilo, Purnomo Hadi Retno Wardhani Rifki Rifki Susilo , Purnomo Hadi