PERANCANGAN APLIKASI PENYEWAAN PERALATAN HIKING DENGAN MENERAPKAN ALGORITMA NAÏVE BAYES CLASSIFIER BERBASIS WEB (STUDI KASUS : TOKO SUNRISE)

Abstract

Technological advances are driving the digitalization of various sectors, including 
hiking equipment rentals. This research aims to design a web-based application that 
can manage the hiking equipment rental process more efficiently and implement the 
Naïve Bayes Classifier Algorithm to analyze the level of borrowing of goods. The 
developed application is able to provide real-time information regarding equipment 
availability, borrowing history, and calculating fines for users who return items after 
the deadline. With user-friendly features and a structured system, this application can 
improve the efficiency of borrowing management and provide a better experience for 
users. The implementation results indicate that the Naïve Bayes Classifier Algorithm 
is effective in classifying equipment based on its level of popularity, assisting 
managers in making decisions regarding the procurement and promotion of less 
popular equipment. Thus, this research contributes to the optimization of the hiking 
equipment rental system at the Sunrise Shop. Testing the application program using 
the white box method obtained V(G) = 34, IP = 34, and R = 34 which are the same, 
namely 34, so the application program is free from programming errors.