Thesis
Published
DEVELOPMENT OF SUPPLIER STOCK MONITORING WEBSITE WITH RECOMMENDATION SYSTEM USING COLLABORATIVE FILTERING METHOD AT UD. PEKANBARU JAYA
Abstract
UD (Trading Business) Pekanbaru Jaya, a goods distribution store, often experiences problems in monitoring supplier stock and ordering goods, resulting in stockouts and operational inefficiencies. This study aims to design and implement an effective and efficient stock monitoring system by utilizing the Collaborative Filtering method. This method was chosen because of its ability to predict goods preferred by users based on the opinions of other users, so that it can provide accurate recommendations even though the content information is limited. This system will also use the Waterfall model in its development, which ensures that each stage of development is carried out in a structured and well-documented manner. The results obtained in this study are the creation of a website-based application to manage supplier stock at UD (Trading Business) Pekanbaru Jaya so that with this application it can help to monitor stock and also with the recommendation system implemented in it can help buyers in choosing goods. This implementation is expected to help UD. Pekanbaru Jaya in managing assets and inventory, ensuring sufficient availability of goods, reducing the risk of stockouts, and optimizing resource utilization. The results of this study indicate that the developed system is able to increase efficiency in managing stock and provide a better shopping experience to customers through online stores.
Publication Details
InstitutionUniversitas Darussalam Gontor
DepartmentTeknik Informatika
SubjectsDewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 000 - Ilmu komputer, informasi dan pekerjaan umum
23rd Dewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 000 - Ilmu komputer, informasi dan pekerjaan umum
Dewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 003 - Sistem-sistem
23rd Dewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 003 - Sistem-sistem
Dewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 005 - Pemrograman komputer, program dan data
23rd Dewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 005 - Pemrograman komputer, program dan data
23rd Dewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 000 - Ilmu komputer, informasi dan pekerjaan umum
Dewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 003 - Sistem-sistem
23rd Dewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 003 - Sistem-sistem
Dewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 005 - Pemrograman komputer, program dan data
23rd Dewey Decimal Classification > 000 - Komputer, Informasi dan Referensi Umum > 000 - Ilmu komputer, informasi dan pekerjaan umum > 005 - Pemrograman komputer, program dan data
KeywordsStock Monitoring, Collaborative Filtering, Online Store, Recommendation System, Machine Learning
Item ID5441
Deposited16 Feb 2025 01:51