Sanjaya, David Wilda (2026) Sistem Prediksi Kebutuhan Sparepart menggunakan Single Exponential Smoothing (SES) untuk mengatasi ketidakstabilan stok pada konter handphone (Studi Kasus: Glory Cell Madiun). S1 thesis, Universitas PGRI Madiun.
![[img]](https://eprint.unipma.ac.id/style/images/fileicons/text.png) |
Text
HALAMAN DEPAN.pdf Download (512kB) |
|
Text
ABSTRAK.pdf Download (212kB) |
|
Text
BAB I.pdf Download (248kB) |
|
Text
BAB II.pdf Download (596kB) |
|
Text
BAB III.pdf Restricted to Repository staff only Download (321kB) |
|
Text
BAB IV.pdf Restricted to Repository staff only Download (1MB) |
|
Text
BAB V.pdf Download (208kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (219kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository staff only Download (2MB) |
Abstract
Managing spare part inventory in a mobile phone service store requires proper planning to prevent both stock shortages and overstocking, which may disrupt operational activities and customer service. At Glory Cell Madiun, the process of recording sales data and determining spare part requirements is still performed manually, resulting in inaccuracies when estimating inventory needs for the following period. This study aims to design and develop a web-based spare part demand prediction system using the Single Exponential Smoothing (SES) method as the forecasting technique. The system was developed using the Next.js framework, MySQL database, and the Agile software development methodology. In addition, the system implements the Role-Based Access Control (RBAC) concept to ensure that each user is granted access according to their respective roles and responsibilities. Historical spare part sales data are used as the basis for forecasting future inventory requirements. The accuracy of the forecasting results is evaluated using Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). The results of this study indicate that the developed system is capable of automatically generating spare part demand forecasts with a satisfactory level of accuracy. Furthermore, the system provides valuable information to support decision-making in inventory management. The implementation of this system improves the efficiency and effectiveness of inventory management while minimizing the risks of both stock shortages and excess inventory.
| Item Type: | Thesis/Skripsi/Tugas Akhir (S1) |
|---|---|
| Kata Kunci: | Prediksi; Sparepart; Single Exponential Smoothing; Next.js; MAPE; MSE. |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Teknik > Teknik Informatika |
| Depositing User: | SANJAYA WILDA DAVID |
| Date Deposited: | 31 Aug 2026 02:43 |
| Last Modified: | 31 Aug 2026 02:43 |
| URI: | http://eprint.unipma.ac.id/id/eprint/8809 |
Actions (login required)
 |
View Item |
