Permana, Gilang Budi (2026) SISTEM INFORMASI INVENTORY CONTROL MENGGUNAKAN REGRESI LINEAR UNTUK PENENTUAN REORDER POINT (Studi Kasus Pada Toko Budi Variasi Mobil). S1 thesis, Universitas PGRI Madiun.
![[img]](https://eprint.unipma.ac.id/style/images/fileicons/text.png) |
Text
HALAMAN DEPAN.pdf Download (562kB) |
|
Text
ABSTRAK.pdf Download (291kB) |
|
Text
BAB 1.pdf Download (295kB) |
|
Text
BAB 2.pdf Download (544kB) |
|
Text
BAB 3.pdf Restricted to Repository staff only Download (394kB) |
|
Text
BAB 4.pdf Restricted to Repository staff only Download (3MB) |
|
Text
BAB 5.pdf Download (268kB) |
|
Text
DAFTAR PUSTAKA.pdf Download (257kB) |
|
Text
LAMPIRAN.pdf Restricted to Repository staff only Download (737kB) |
Abstract
Gilang Budi Permana. 2026. Inventory Control Information System Using Linear Regression for Determining Reorder Point (A Case Study at Toko Budi Variasi Mobil). Undergraduate Thesis. Informatics Engineering Study Program, Faculty of Engineering, University PGRI Madiun. Advisors: (I) Erny Untari, S.Pd., M.Pd. (II) Fatim Nugrahanti, S.T., M.T. This study aims to design and build a web-based Inventory Control Information System using the PHP programming language and MySQL database to overcome the problems of overstock and stockouts at Toko Budi Variasi Mobil. The development of this system adopts the Waterfall method with structured modeling using DFD, ERD, and flowcharts. The main feature and scientific novelty of this system is the automatic data integration, where the demand projection output from the Simple Linear Regression algorithm is directly extracted into a daily demand variable in the Reorder Point (ROP) formula. The system will reactively trigger an early warning message via the Telegram Bot API to the shop owner's mobile phone and activate the creation of a print-ready digital Purchase Order in PDF format when the remaining physical stock balance in the warehouse is detected to be less than or equal to the ROP limit value. System interface evaluation using the Black Box Testing method on 31 scenarios shows that all system functionalities have met the specified requirements with a 100% success rate. Meanwhile, testing the computational accuracy of the forecasting model using the Mean Absolute Percentage Error (MAPE) metric yielded a value of 7.87%. Although this error percentage is influenced by fluctuations in products with small retail sales volumes, the applied linear regression model still proves to be useful for illustrating the direction of sales trends and successfully automates the initialization of Safety Stock and ROP to support inventory optimization.
| Item Type: | Thesis/Skripsi/Tugas Akhir (S1) |
|---|---|
| Kata Kunci: | Inventory Control, Regresi Linear, Reorder Point (ROP), Mean Absolute Percentage Error (MAPE), Black Box Testing Inventory Control, Linear Regression, Reorder Point (ROP), Mean Absolute Percentage Error (MAPE), Black Box Testing |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Teknik > Teknik Informatika |
| Depositing User: | PERMANA BUDI GILANG |
| Date Deposited: | 17 Oct 2026 03:25 |
| Last Modified: | 17 Oct 2026 03:25 |
| URI: | http://eprint.unipma.ac.id/id/eprint/10384 |
Actions (login required)
 |
View Item |
