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All Journal Jurnal Informatika Universitas Pamulang Jurnal Abdi Rakyat
Farida Ardiani
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Workshop Pengolahan Data Nilai Siswa Menggunakan Microsoft Excel di SD Negeri Jumeneng Anita Fira Waluyo; Irma Handayani; Ikrima Alfi; Wahyu Sri Utami; Farida Ardiani; Selfi Artika
Jurnal ABDI RAKYAT Vol. 1 No. 1 (2024): JURNAL ABDI RAKYAT
Publisher : Universitas Teknologi Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/jar.v1i1.293

Abstract

Workshop on processing student grades data using Microsoft Excel is a training activity that aims to introduce the use of Microsoft Excel in managing and analyzing student grades data effectively. This workshop is aimed at teachers at SD Negeri Jumeneng with the aim of increasing their understanding of using Excel as a tool for processing data. In this workshop, the participants will be given an explanation regarding the use of Excel in processing student grade data. The material includes an introduction to relevant basic Excel formulas such as SUM, AVERAGE, MAX, MIN, IF, and others. In addition, participants will also be given guidance on graphing student grade data using Excel. This workshop was carried out through a practical approach by providing training to participants to apply Excel formulas and functions in processing student value data. It is hoped that this workshop will provide significant benefits for teachers at SD Negeri Jumeneng in managing and analyzing student grade data more efficiently using Microsoft Excel.
Pengembangan Web Manajemen Keuangan Sampah dengan Fitur Prediksi Keterlambatan Pembayaran Menggunakan Algoritma Decision Tree di Kelurahan Guwosari Syaifulloh Yusuf Fadlililah; Farida Ardiani
Jurnal Informatika Universitas Pamulang Vol 10 No 4 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jiup.v10i4.54211

Abstract

This study aims to develop a web-based waste financial management system in Guwosari Village integrated with a payment delay prediction feature. The system is designed to improve the efficiency of waste payment management that was previously handled manually. The system development employs the Waterfall method, consisting of requirements analysis, system design, implementation, and testing. The payment delay prediction model is built using the Decision Tree algorithm, utilizing customer data and transaction payment history from the last six months. The developed system supports multiple user roles, including superadmin, admin, agent, and customer, and provides features such as digital transaction recording, notifications, and automated financial reports. The evaluation results indicate that the system enhances efficiency in waste financial management and reduces the risk of recording errors. The prediction model achieves an accuracy rate of 85.06% in identifying customers who are likely to experience payment delays. In conclusion, the proposed system serves as an effective digital solution for waste financial management, although it is still limited by the use of a single algorithm and data coverage restricted to one area.
Co-Authors Ikrima Alfi Irma Handayani Selfi Artika Syaifulloh Yusuf Fadlililah Wahyu Sri Utami Waluyo, Anita Fira