Login
Section Innovation in Computer Science

Web-Based Priority Program Recommendation Using Collaborative Filtering

Rekomendasi Program Prioritas Berbasis Web Menggunakan Collaborative Filtering
Vol. 27 No. 1 (2026): January:

Luisa Maria Pesik (1), Medi Hermanto Tinambunan (2), Kristofel Santa (3)

(1) Program Studi Teknik Informatika, Universitas Negeri Manado, Indonesia
(2) Program Studi Teknik Informatika, Universitas Negeri Manado, Indonesia
(3) Program Studi Teknik Informatika, Universitas Negeri Manado, Indonesia
Fulltext View | Download

Abstract:

General Background: Recess activities of regional legislative members function as a formal mechanism for collecting diverse public aspirations related to regional development programs. Specific Background: In Minahasa Regency, the determination of priority programs derived from recess activities has traditionally relied on manual procedures that are prone to subjectivity and inconsistency. Knowledge Gap: Despite extensive studies on collaborative filtering in various domains, its application for managing and prioritizing legislative recess programs within local government contexts remains limited. Aims: This study aims to design and implement a web-based priority program recommendation system for DPRD recess activities using an Item-Based Collaborative Filtering algorithm. Results: The system was developed using the Waterfall method and implemented with PHP and MySQL, incorporating modules for aspiration management, rating, authentication, and recommendation generation. Black box testing across core functionalities confirmed that the system operated according to specifications and supported structured priority ranking of programs. Novelty: The research introduces the application of Item-Based Collaborative Filtering to DPRD recess aspiration management, replacing a previously manual and subjective process. Implications: The proposed system provides a structured, transparent, and data-driven approach to supporting legislative decision-making in prioritizing public programs at the regional level.


Highlights
• The developed system organizes recess aspirations into measurable program priorities
• Item-based recommendation logic supports consistent ranking of proposed programs
• Web-based architecture enables structured management of legislative aspiration data


Keywords
Collaborative Filtering; Recommendation System; DPRD Recess; Priority Program; Web-Based Application

Downloads

Download data is not yet available.

References

A. Salam and F. P. Albahri, “Sistem Rekomendasi Tugas Akhir Mahasiswa pada AMIK Indonesia untuk Mendukung Merdeka Belajar–Kampus Merdeka Menggunakan Metode Collaborative Filtering (CF),” Jurnal Teknologi Informasi dan Komunikasi, vol. 6, no. 2, 2022.

S. Sauda and M. R. Ramadhan, “Implementasi Memory-Based dan Model-Based Collaborative Filtering pada Sistem Rekomendasi Sepeda Gunung,” vol. 7, no. 6, 2022.

M. Aldiyansyah, I. Oktaviani, and H. Hasanah, “Penerapan Metode Collaborative Filtering Pada Pemilihan Bibit Padi di Wonogiri,” JEKIN – Jurnal Teknik Informatika, vol. 4, no. 3, pp. 472–479, 2024.

B. Ilham Rabbani, H. Napitupulu, and E. Hertini, “Sistem Rekomendasi Menggunakan Item-Based Collaborative Filtering Berbasis Mobile iOS,” 2023.

A. Simangunsong, R. M. Simanjorang, F. Amalia, and P. Khairunnisa, “Sistem Rekomendasi Produk Skincare Menggunakan Collaborative Filtering,” Jurnal Ilmu Sistem Informasi, vol. 24, no. 1, pp. 56–63, 2025.

V. S. Saputra et al., “Rancang Bangun Sistem Rekomendasi Buku Berbasis Item-Based Collaborative Filtering Menggunakan Algoritma K-Nearest Neighbors,” Jurnal Teknologi Informasi, vol. 15, no. 2, 2025.

M. Firmansyah, A. Aziz, and M. Ahsan, “Peningkatan Kinerja Sistem Rekomendasi Wisata Melalui Penerapan Algoritma Collaborative Filtering dan K-Nearest Neighbors dengan Metode Klasterisasi K-Means,” 2024.

R. Wahyudi, “Analisis Bibliometrik terhadap Tren Penelitian Sistem Rekomendasi Produk E-Commerce Berbasis Collaborative Filtering dan Kontribusinya bagi Indonesia,” Jurnal Rekayasa Lampung, vol. 4, no. 3, pp. 2830–4640, 2025.

P. P. Adati, P. T. D. Rompas, and O. Kembuan, “Aplikasi pengenalan bahasa Mongondow dengan speech recognition menggunakan metode rapid application development (RAD),” Jurnal Penelitian Rumpun Ilmu Teknik (JUPRIT), vol. 2, no. 2, pp. 2–21, 2023.

S. Panambunan, A. Hasibuan, dan K. Santa, “Implementasi vector space model pada aplikasi pengarsipan berbasis web di POLDA Sulut,” Jurnal Minfo Polgan, vol. 14, no. 2, pp. 2131–2137, Sep. 2025, doi: 10.33395/jmp.v14i2.15203.

Z. Pehi and P. T. D. Rompas, “Perancangan sistem informasi pendaftaran dana santunan duka berbasis web pada Dinas Tenaga Kerja Kota Tomohon,” Edutik, vol. 5, no. 2, pp. 1101–1108, 2025.

R. R. Runtu, G. D. P. Maramis, and A. Hasibuan, “Implementasi algoritma rule-based classification pada aplikasi arsip web menggunakan metode RAD dan evaluasi ISO/IEC 25010,” Jurnal Minfo Polgan, vol. 14, pp. 2792–2798, Nov. 2025.

L. J. H. Saknohsiwy, O. Kembuan, and K. Santa, “Aplikasi pengelolaan dokumen pidana Pengadilan Negeri Tondano Kelas IB berbasis web,” JOINTER: Journal of Informatics Engineering, vol. 2, pp. 24–32, 2023.

K. Santa, S. Alfius, and F. Kembuan, “Penggunaan asynchronous JavaScript and XML (AJAX) pada rancang bangun sistem e-learning peningkatan literasi sejarah dan budaya,” Journal of Innovation and Future Technology (IFTECH), vol. 7, no. 1, pp. 42–51, 2025.

M. H. Tinambunan and S. Wahyuni, “Analisis perbandingan hasil prediksi sistem pendukung keputusan metode simple additive weighting dengan preference selection index dalam menentukan mahasiswa penerima beasiswa,” Bisnis-Net: Jurnal Ekonomi dan Bisnis, vol. 6, no. 2, pp. 765–772, 2023.

M. H. Tinambunan, “Sistem pendukung keputusan penentuan siswa berprestasi menggunakan metode weight product (WP),” JATIKA, vol. 4, no. 1, pp. 158–166, 2023. H. Raihan and A. Voutama, “Pengujian Black Box pada Aplikasi Database Perguruan Tinggi dengan Teknik Equivalence Partition,” Antivirus: Jurnal Ilmiah Teknik Informatika, vol. 17, no. 1, pp. 1–18, 2023.

M. Minarni and S. Sigit, “Pengembangan Sistem Informasi Rekomendasi Wisata Kotawaringin Timur Berbasis Web Menggunakan Metode Item-Based Collaborative Filtering,” Jurnal Ilmiah Informatika Global, vol. 13, no. 3, 2023.

S. Nabila, A. R. Putri, A. Hafizhah, F. H. Rahmah, and R. Muslikhah, “Pemodelan Diagram UML pada Perancangan Sistem Aplikasi Konsultasi Hewan Peliharaan Berbasis Android,” Jurnal Ilmu Komputer dan Bisnis, vol. 12, no. 2,pp. 130–139, 2021.