RANCANG BANGUN APLIKASI SELEKSI PEMILIHAN SEKRETARIS DESA TUMBUKAN BANYU DENGAN MEMANFAATKAN METODE WEIGHTED PRODUCT (WP) BERBASIS WEB
Vol 19 No 1 (2024), Articles
Vol 19 No 1 (2024)

RANCANG BANGUN APLIKASI SELEKSI PEMILIHAN SEKRETARIS DESA TUMBUKAN BANYU DENGAN MEMANFAATKAN METODE WEIGHTED PRODUCT (WP) BERBASIS WEB

Articles
Published March 1, 2024
Amrul Hadiyanoor
Ahmad Shalludin
Akhmad Saufi Ramadhan
Rafie
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Keywords

Village Secretary
WP Method
Election

Abstract

A web-based village secretary selection application using the Weighted Product method is a system designed to facilitate the process of selecting and selecting village secretaries efficiently. The Weighted Product (WP) method is used to calculate the relative weight values of previously determined criteria.
The application will provide an interface to set and manage the criteria that will be used in the selection process. These criteria can include educational qualifications, work experience, expertise, integrity, and so on. Prospective village secretaries can fill in their personal data via the online form provided by the application. The application uses the Weighted Product (WP) method to calculate the relative weight of each criterion provided. has been determined. This weight will be used in the candidate ranking process. After the criteria weights are calculated, the application will rank the candidates based on the score obtained from the Weighted Product calculation. The candidate with the highest score will appear as the top result.
By using this application, the selection and selection process for village secretaries will become more structured, transparent and efficient. The Weighted Product method helps ensure that selection decisions are based on the weight of criteria that have been determined objectively.

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References

1. A Bachriwindi. dkk. “Implementation of Web-Based Weighted Product Use Decision Support System to Determine the Post-Disaster Damage and Loss”, UIN Maulana Malik Ibrahim Malang, Indonesia. 2019.
2. A. C. Yudistira. “Sistem Pendukung Keputusan Menggunakan Metode Weighted Product untuk Pemilihan Karyawan Terbaik UMKM ZainToppas”. Jurnal Sisfokom (Sistem Informasi dan Komputer). 2020.
3. A. Gregorius. “MySQL untuk Pemula”. Jakarta : PT. Elex Media Komputindo. 2014.
4. A. Sugiarto. dkk. “Metode Weighted Product Pada Sistem Pendukung Keputusan Pemberian Bonus Pegawai Pada CV Bejo Perkasa”, Universitas Mathla’ul Anwar, Indonesia. 2020.
5. A. Ibnu “Referensi dan Panduan UML 2.4 Singkat Tepat Jelas”. Surabaya, Jawa Timur : CV. Garuda Mas Sejahtera. 2018.
6. D. Diana. “Sistem Pendukung Keputusan untuk Menentukan Penerima Bantuan Sosial Menerapkan Weighted Product Method (WPM)”. 2022.
7. Hafiz. dkk. “Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Dengan Pendekatan Weighted Product, Manajemen Informatika, AMIK Dian Cipta Cendikia Bandar Lampung, Manajemen Informasi”, Bandar Lampung. 2018.
8. Mirawati. dkk. “Sistem Penunjang Keputusan Penilaian Kinerja Kasir Lotte Mart Menggunakan Metode Weighted Product”, Universitas BSI, Indonesia. 2018.
9. N. Aminudin. “Weighted Product and its application to measure employee performance. International Journal of Engineering & technology”. Bandung. 2018
10. P. Mauliana. dkk. “Sistem Pendukung Keputusan Evaluasi Kinerja Pramuniaga Toserba Yogya Ciwalk Menggunakan Metode Weighted Product”, Manajemen Informatika, AMIK BSI Bandung, Bandung. 2018.
11. R. Roni, S Sumijan. & J Santony. “Metode Weighted Product dalam Pemilihan Penerima Beasiswa Bagi Peserta Didik”. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi). 2019.
12. V. M. Siregar, S. Sonang, & E. Damanik. “Sistem Pendukung Keputusan Penentuan Pelanggan Terbaik Menggunakan Metode Weighted Product”. Jurnal Tekinkom (Teknik Informasi dan Komputer). 2021.