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All Journal Journal of Computer Networks, Architecture and High Performance Computing JRIIN :Jurnal Riset Informatika dan Inovasi
Ekrinifda, Ardilla
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Computer Science & IT Decision Sciences, Operations Research & Management Education

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Implementation of Dart Programming Language in Mobile-Based DRs Snack Sales Application Design Vindua, Raditia; Handayani, Dede; Ekrinifda, Ardilla
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4203

Abstract

DRs Snack has been making and selling snacks in the vicinity. However, they face problems in manually recording sales and generating accurate reports. Therefore, this project aims to design and implement a mobile-based sales system application that will help DRs Snack in managing sales and recording reports more efficiently. The main objective of this project is to design and develop a mobile-based sales system application with Dart programming language and Flutter framework that can help dRs Snack in recording sales transactions in real-time, generate sales and financial reports quickly and accurately, improve operational efficiency and decision making. The method used for system development is Extreme Programing, where this method has a development target through the determination of unclear needs or changes to the needs very quickly and through a small to medium-sized team. The results of this study can manage menus and orders that have been proven to increase operational efficiency. The implementation of this system is able to reduce the time required for order processing and improve the accuracy of data related to stock and revenue. With an integrated system, customer service can be improved and reduce human error in summarizing total payments and ensure accuracy in payments. The system enables better data analysis, especially in monitoring order history and sales recap to improve sales reports. Suggestions from researchers to maximize the features of existing features and add features to complement the features that are already running.
Analisis Perbandingan Algoritma Random Forest Dan Decision Tree Pada Prediksi Penyakit Diabetes Ekrinifda, Ardilla; Aulia Ramadhan, Salsabila; Marvella, Shera; Fansyuri, Maulana
Jurnal Riset Informatika dan Inovasi Vol 2 No 11 (2025): JRIIN: Jurnal Riset Informatika dan Inovasi
Publisher : shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diabetes melitus adalah penyakit kronis dengan prevalensi yang meningkat secara global. Diagnosis dini sangat penting untuk mencegah komplikasi, tetapi metode tradisional sering memerlukan waktu dan akses yang terbatas. Penelitian ini membandingkan algoritma Random Forest dan Decision Tree dalam memprediksi diabetes menggunakan dataset dari Kaggle. Algoritma ini dipilih karena kemampuan mereka menangani data kesehatan yang kompleks. Random Forest menggunakan pendekatan ensemble learning untuk meningkatkan akurasi dan stabilitas, sedangkan Decision Tree menawarkan interpretasi hasil yang lebih intuitif. Evaluasi dilakukan dengan metrik seperti akurasi, presisi, recall, dan Area Under Curve (AUC). Hasil menunjukkan Random Forest unggul dalam akurasi (78,78%) dan stabilitas dibandingkan Decision Tree (77,34%). Namun, Decision Tree lebih efisien secara komputasi dan mudah diinterpretasi. Analisis ini memberikan wawasan dalam memilih algoritma prediksi diabetes yang sesuai berdasarkan kebutuhan klinis dan sumber daya. Penelitian ini merekomendasikan Random Forest untuk keandalan prediksi dan Decision Tree untuk skenario yang memerlukan efisiensi dan interpretabilitas. Implementasi lebih lanjut diharapkan membantu tenaga medis dalam pengambilan keputusan yang lebih baik.
Implementation of Dart Programming Language in Mobile-Based DRs Snack Sales Application Design Vindua, Raditia; Handayani, Dede; Ekrinifda, Ardilla
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4203

Abstract

DRs Snack has been making and selling snacks in the vicinity. However, they face problems in manually recording sales and generating accurate reports. Therefore, this project aims to design and implement a mobile-based sales system application that will help DRs Snack in managing sales and recording reports more efficiently. The main objective of this project is to design and develop a mobile-based sales system application with Dart programming language and Flutter framework that can help dRs Snack in recording sales transactions in real-time, generate sales and financial reports quickly and accurately, improve operational efficiency and decision making. The method used for system development is Extreme Programing, where this method has a development target through the determination of unclear needs or changes to the needs very quickly and through a small to medium-sized team. The results of this study can manage menus and orders that have been proven to increase operational efficiency. The implementation of this system is able to reduce the time required for order processing and improve the accuracy of data related to stock and revenue. With an integrated system, customer service can be improved and reduce human error in summarizing total payments and ensure accuracy in payments. The system enables better data analysis, especially in monitoring order history and sales recap to improve sales reports. Suggestions from researchers to maximize the features of existing features and add features to complement the features that are already running.
Co-Authors Aulia Ramadhan, Salsabila Handayani, Dede Marvella, Shera Maulana Fansyuri Vindua, Raditia