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All Journal Jurnal Teknologi Informasi dan Pendidikan JURNAL MAHAJANA INFORMASI Jurnal Ilmu Komputer dan Bisnis Informatika Bulletin of Computer Science Research Jurnal Hasil Pengabdian Masyarakat (JURIBMAS)
Yanti Yusman
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Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science Social Sciences Other

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Journal : Bulletin of Computer Science Research

 1 
Sistem Informasi Perangkat Desa (SINPERDES) Berbasis Website Dengan Metode Waterfall Dalam Pelaksanaan Pembangunan Desa Yanti Yusman; Nurafina Siregar; Randi Rian Putra; Sri Nadriati
Bulletin of Computer Science Research Vol. 3 No. 6 (2023): October 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i6.274

Abstract

Website-Based Village Information System (SINPERDES) Using the Waterfall Method in Implementing Village Development The Village Information System (SINPERDES) is a technological solution designed to optimize the implementation of village development through the use of the Waterfall method in its development. The Waterfall method is a software development approach that focuses on sequential stages, starting from planning, analysis, design, implementation, to maintenance. This research aims to develop SINPERDES which is able to support village officials in managing information and village development processes more efficiently and effectively. Website-based SINPERDES was chosen as a platform to enable easier access for village communities and related stakeholders. This study involves analyzing the needs of village officials, system design, website development, and implementation in several villages as case studies. The results of this research show that Website-Based SINPERDES using the Waterfall method has succeeded in increasing information accessibility, monitoring village development, as well as coordination between village officials and the community. In addition, the use of the Waterfall method in SINPERDES development provides clarity and order in the software development process. The successful implementation of SINPERDES provides an opportunity to improve the overall quality of village development
Naïve Bayes Classifier dengan Particle Optimize Weight Forward pada Dataset Nuranisah; Yanti Yusman
Bulletin of Computer Science Research Vol. 3 No. 6 (2023): October 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v3i6.290

Abstract

Classification is the process of identifying and grouping objects into classes or categories based on their characteristics. In data mining, there are two processes, namely classification and clustering, which are used to group objects based on similarities. In the classification process, various methods such as K-NN, SVM, and Naïve Bayes are often used and developments are made in the method. The Naïve Bayes classifier is proven to have advantages, such as faster calculation and better accuracy. However, this method has limitations in the attribute selection process. To overcome this limitation, the Particle Optimize Weights Forward algorithm is used to improve accuracy by assigning weights to attributes in the Naïve Bayes method. This approach improves the efficiency and effectiveness of the Naïve Bayes classifier in data classification tasks.
Co-Authors Ahmad Akbar Aldi Alvin Ika Devi Perwitasari Jodi Hendrawan Kurniawan, Fahmi Nurafina Siregar Nuranisah Putra, Randi Rian Ryanda, Zarifa Sri Haryati SRI NADRIATI