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RANCANG BANGUN SISTEM INFORMASI KLASIFIKASI LIMBAH DOMESTIK BERBASIS WEB SERVICE MENGGUNAKAN ALGORITMA CNN Ahmad Surahmat; Rustam Effendy; Yul Hendra; Tb. Dedi Fua’dy; Fernanda Adytia Pratama
Journal of Innovation And Future Technology Vol. 8 No. 2 (2026): Vol 8 No 2 (Agustus 2026): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v8i2.4692

Abstract

Disorganized domestic waste management has become a serious environmental issue due to the lack of systems for the rapid and automated recording of waste types. This study aims to design and develop a web service-based information system capable of automatically classifying domestic waste types. The research employs a Convolutional Neural Network (CNN) for waste image recognition, integrated with a web service architecture using a REST API to facilitate data exchange between systems. The dataset comprises thousands of domestic waste images categorized into major groups such as organic, plastic, paper, and metal. Key testing results demonstrate that the developed CNN model exhibits excellent and stable performance, achieving an accuracy rate of 89.03% and a loss value of 0.29 on the test data. The study concludes that integrating the CNN method with a web service is effective, accurate, and viable for automating domestic waste type identification, thereby supporting smarter environmental management systems.
PENGEMBANGAN FITUR MARKETING BROADCAST SYSTEM DAN INTEGRASI MIDTRANS PAYMENT GATEWAY PADA APLIKASI PEMESANAN JASA FOTOGRAFI STUDI KASUS J_ART PHOTOGRAPHY Yul Hendra; Irma Yunita Ruhiawati; Dadang Amiruddin
Journal of Innovation And Future Technology Vol. 8 No. 2 (2026): Vol 8 No 2 (Agustus 2026): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v8i2.4971

Abstract

The rapid growth of information technology has encouraged digital transformation in service-based businesses, including photography services. J_ART Photography currently uses an online booking application; however, its promotional activities are still conducted manually through individual WhatsApp messages, while payment confirmation relies on manual bank transfer verification. These processes reduce operational efficiency, increase administrative workload, and slow customer service. Therefore, this study aims to develop a Marketing Broadcast System and integrate the Midtrans Payment Gateway into the photography service booking application to improve promotional effectiveness, automate payment processing, and enhance service quality. This research employed the Research and Development (R&D) method using the Waterfall software development model, which consists of requirement analysis, system design, implementation, testing, and evaluation. Data were collected through observation, interviews, and literature review. System functionality was evaluated using the Black Box Testing method. The results indicate that the Marketing Broadcast System successfully automates promotional message delivery to customers, while the Midtrans Payment Gateway enables real-time payment processing and automatic transaction verification. Black Box Testing showed that all system features functioned according to the specified requirements. The developed system significantly improves operational efficiency, accelerates payment confirmation, reduces manual administrative tasks, and enhances customer service quality. In conclusion, integrating automated marketing and digital payment features into a single application provides an effective solution for optimizing business processes in photography service management and supports the digital transformation of small and medium-sized enterprises.