IMPLEMENTASI ALGORITMA COLLABORATIVE FILTERING PADA APLIKASI PEJABAT PENGELOLA INFORMASI DAN DOKUMENTASI (Studi Kasus PPID BPPT)

MUNDHOFA, AHMAD (2021) IMPLEMENTASI ALGORITMA COLLABORATIVE FILTERING PADA APLIKASI PEJABAT PENGELOLA INFORMASI DAN DOKUMENTASI (Studi Kasus PPID BPPT). S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Public Information Disclosure is an important factor in realizing good governance. One of the problems that is often experienced by public information providers is the difficulty in gathering related materials or information sources. The number of divisions competing with scientific fields has turned into a challenge in studying information materials. The solution to these problems is to build a recommendation system that can provide references related to divisions or work units that can provide this information. The User-Based Collaborative Filtering method is one technique that can be used to provide a recommendation. In this study, the approach taken was to conduct a scientific survey from various work units in the BPPT agency. The survey data will be used as a reference for finding patterns of topics (similarity) with the information data application submitted by the public. This system has an output in the form of recommendations relating to work units that can provide public information materials. Based on the research that has been carried out, it is obtained that the User-Based Collaborative Filtering Method has been able to provide a choice of recommendations according to the required information material, and obtain an accuracy value of 60%. This value is caused by too many data attributes used in the study. Key words: Collaborative Filtering, User-Based, Recommendation System, PPID, BPPT Keterbukaan Informasi Publik salah satu faktor penting didalam mewujudkan tata kelola pemerintahan yang baik. Salah satu permasalahan yang sering di alami oleh penyedia informasi publik adalah sulitnya mengumpulkan bahan ataupun sumber informasi terkait. Banyaknya divisi yang menangani bidang keilmuan yang bervariasi menjadi tantangan didalam pengumpulan bahan informasi. Solusi untuk menyelesaikan permasalahan tersebut adalah dengan membangun sebuah sistem rekomendasi yang dapat memberikan referensi terkait divisi ataupun unit kerja yang dapat menyediakan informasi tersebut. Metode User-Based Collaborative Filtering merupakan salah satu teknik yang dapat digunakan untuk memberikan sebuah rekomendasi. Pada penelitian ini, pendekatan yang dilakukan adalah dengan melakukan survey bidang keilmuan dari berbagai unit kerja di instansi BPPT. Data hasil survey tersebut akan digunakan sebagai bahan acuan untuk menemukan pola kesamaan (similarity) dengan data permohonan informasi yang di ajukan oleh masyarakat. Sistem ini memiliki keluaran berupa rekomendasi terkait dengan divisi unit kerja yang dapat memberikan bahan informasi publik. Berdasarkan dari penelitian yang telah dilakukan, didapatkan hasil bahwa Metode User-Based Collaborative Filtering telah mampu menyediakan pilihan rekomendasi Unit Kerja sesuai dengan bahan informasi yang dibutuhkan, dan didapatkan nilai akurasi sebesar 60%. Nilai tersebut disebabkan oleh terlalu banyaknya data attribute yang digunakan didalam penelitian. Kata kunci: Collaborative Filtering, User-Based, Sistem Rekomendasi, PPID, BPPT

Item Type: Thesis (S1)
NIM/NIDN Creators: 41519120003
Uncontrolled Keywords: Collaborative Filtering, User-Based, Sistem Rekomendasi, PPID, BPPT
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000.01-000.09 Standard Subdivisions of Computer Science, Information and General Works/Subdivisi Standar Dari Ilmu Komputer, Informasi, dan Karya Umum
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 020 Library and Information Sciences/Perpustakaan dan Ilmu Informasi > 020.1-020.9 Standard Subdivisions of Library and Information Sciences/Subdivisi Standar Dari Perpustakaan dan Ilmu Informasi
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: ADELINA HASNA SETIAWATI
Date Deposited: 05 Dec 2023 02:40
Last Modified: 05 Dec 2023 02:40
URI: http://repository.mercubuana.ac.id/id/eprint/84561

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