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All Journal Journal of Computer Science and Informatics Engineering DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY
Amri, M Choirul
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Computer Science & IT

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Design and Development of a Web-Based Mosque Financial Management Information System Using the Incremental Method Amri, M Choirul; Anjani, Retno; Rasyid, Abdul; Pradana, Riski Ananta; Zufria, Ilka
Journal of Computer Science and Informatics Engineering Vol 4 No 4 (2025): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i4.1212

Abstract

Nur Hidayah Mosque in Dusun III, Tuntungan I Village, Pancur Batu District, Deli Serdang Regency, faces challenges in financial management, which is still conducted manually using cash books and printed reports. This manual system leads to delays, recording errors, and difficulties in monitoring and evaluating finances. To improve efficiency, accuracy, and transparency, this study designs and develops a web-based financial management information system using the incremental development method. The system allows mosque administrators, particularly the admin and treasurer, to digitally record income and expenses, generate automatic financial reports, and store data in a structured and easily accessible format. Features such as automatic recap and digital archiving further support transparency and accountability. The implementation of this system is expected to significantly enhance the performance of mosque financial management by providing faster and more organized data access while minimizing manual recording errors. This system contributes to the modernization of mosque financial administration and can serve as a reference for similar future research
Implementasi Algoritma Naïve Bayes Untuk Klasifikasi Berita Online Terhadap Program Prioritas Pemerintah Kota Medan Amri, M Choirul; Atiqi, Muhammad Farros; Talita, Friza; Zufria, Ilka
DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Vol 6, No 2: DESEMBER 2025
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/device.v6i2.7993

Abstract

Penelitian ini bertujuan untuk mengimplementasikan algoritma Naïve Bayes dalam mengklasifikasikan berita online terkait Pemerintah Kota Medan ke dalam kategori Prioritas dan Non-Prioritas. Dataset yang digunakan terdiri dari 207 judul berita yang dihimpun dari berbagai sumber online. Setiap judul berita diproses melalui tahapan preprocessing seperti case folding, tokenizing, stopword removal, dan stemming untuk menghasilkan representasi fitur biner yang digunakan sebagai input klasifikasi. Pembagian dataset dilakukan dengan komposisi 70% data latih dan 30% data uji untuk menilai performa model secara objektif. Hasil evaluasi menggunakan confusion matrix menunjukkan bahwa algoritma Naïve Bayes mampu mencapai akurasi sebesar 85,71% dalam mengelompokkan berita ke dalam kategori yang sesuai. Temuan ini menunjukkan bahwa metode Naïve Bayes cukup efektif dan dapat diimplementasikan sebagai alat bantu dalam mengidentifikasi berita yang berkaitan dengan program-program prioritas Pemerintah Kota Medan secara otomatis.
Co-Authors Abdul Rasyid Anjani, Retno Atiqi, Muhammad Farros Ilka Zufria Pradana, Riski Ananta Talita, Friza