Sistem Temu Kembali Informasi Dinas Pemuda Olahraga dan Pariwisata Kabupaten Purbalingga dengan Metode Vector Space Model

Main Article Content

Muhammad Syafiq Hidayatulloh

Abstract

Tourism in Indonesia has now increased both natural and artificial tourism. In Indonesia there are very many tourism offerings ranging from land tourism to water. Purbalingga Regency can be said as agrowing regency, especially in the tourism sector and is starting to be made as a comparison with tourism in other cities in Central Java. Information Retrieval System is an optimization in searching websites so that users get information as expected. Tourism in Purbalingga Regency is still experiencing problems, namely aspects in providing detailed information on attractions. The use of the retrieval system is expected to be used as search optimization to improve the relevance of the query to the tourism documents in Purbalingga Regency. The limited information about tourism in Purbalingga is still lacking, resulting in tourists outside the area not knowing what tourism is in Purbalingga. The tools that will be used to create this information retrieval system are the Codeigniter framework then the programming language PHP for websites with data storage using the Mysql database. In the process of building the information retrieval system, an algorithm called vector space model is needed as a calculation of the relevance of the query to the document. The application of tourism information retrieval system in Purbalingga Regency is expected to help the condition of tourism in Purbalingga Regency to be improved, especially in tourism information. The results of this study are websites searcht hat will provide tourist attraction information in accordance with the query entered by the user and then display documents relevant to the query.

Article Details

How to Cite
Hidayatulloh, M. (2020). Sistem Temu Kembali Informasi Dinas Pemuda Olahraga dan Pariwisata Kabupaten Purbalingga dengan Metode Vector Space Model. Journal of Informatics Information System Software Engineering and Applications (INISTA), 2(2), 1-10. https://doi.org/10.20895/inista.v2i2.101
Section
Articles

References

[1] B. P. S. K. Purbalingga, “Jumlah Wisatawan Lokal dan Mancanegara Kabupaten Purbalingga,”2016.[Online].Available: https://purbalinggakab.bps.go.id/statictable/2016/10/21/83/jumlah-wisatawan-dan-pendapatan-dari-obyek-wisata-menurut-bulan-di-kabupaten-purbalingga-2015.html.
[2] K. D. Putung, A. Lumenta, and A. Jacobus, “Penerapan Sistem Temu Kembali Informasi pada Kumpulan Dokumen Skripsi,” Tek. Inform., vol. 8, no. 1, pp. 18–23, 2016.
[3] P. Angga, L. W. Astuti, and M. Ramadhan, “Pencarian Materi Kuliah Pada Aplikasi Blended Learning Menggunakan Metode Vector Space Model,” Ultimatics, vol. 8, no. 2, pp. 92–101, 2016.
[4] P. Dasar, V. B. Wicaksono, and S. W. Sihwi, “Analisis Perbandingan Metode Vector Space Model dan Weighted Tree Similarity dengan Cosine Similarity pada kasus Pencarian Informasi Pedoman Analisis Perbandingan Metode Vector Space Model dan Weighted Tree Similarity dengan Cosine Similarity pada kasus P,” ITSmart, vol. 4, no. 2, pp. 73–83, 2015.
[5] Putri Elfa Mas’udia, M. D. Atmadja, and L. D. Mustafa, “Information Retrieval Tugas Akhir dan Perhitungan Kemiripan,” Simetris, vol. 8, no. 1, pp. 355–362, 2017.
[6] S. Y. Baskoro, A. Ridok, and M. T. Furqon, “Pencarian Pasal pada Kitab Undang-Undang Hukum Pidana (KUHP) Berdasarkan Kasus menggunakan Metode Cosine Similarity dan Latent Semantic Indexing (LSI),” J. Environ. Eng. Sustain. Technol., vol. 2, no. 2, pp. 83–88, 2015.
[7] M. Mastur, F. H. Rachman, and F. Solihin, “Efektivitas Penggunaan Stoplist Kata Umum dari Dokumen Hasil Klasifikasi Pretopology,” Konvergensi, vol. 13, no. 1, pp. 1–10, 2017.
[8] D. Priyanti and S. Iriani, “Sistem Informasi Data Penduduk Pada Desa Bogoharjo Kecamatan Ngadirojo Kabupaten Pacitan,” Indones. J. Netw. Secur., vol. 2, no. 4, pp. 55–61, 2013.
[9] D. Susandi and U. Sholahudin, “Pemanfaatan Vector Space Model pada Penerapan Algoritma Nazief Adriani , KNN dan Fungsi Similarity Cosine untuk Pembobotan IDF dan WIDF pada Prototipe Sistem Klasifikasi Teks Bahasa Indonesia,” ProTekInfo, vol. 3, no. 1, pp. 22–29, 2016.
[10] S. Fauziah, D. N. Sulistyowati, and T. Asra, “Optimasi Algoritma Vector Space Model dengan Algoritma K-NEAREST NEIGHBOUR pada Pencarian Judul Artikel Jurnal,” Pilar Nusa Mandiri, vol. 15, no. 1, pp. 21–26, 2019.
[11] A. Deteksi and K. Tugas, “Aplikasi Deteksi Kemiripan Tugas Akhir,” Matrik, vol. 16, no. 2, pp. 5–10, 2017.
[12] A. D. Muktiari, M. A. Bijaksana, and B. A. Wahyudi, “Pembangunan Ensiklopedia Kosa Kata Al Qur ’ an Menggunakan Generalized Vector Space Model dan Semantics Relatedness,” e-Proceeding Eng., vol. 5, no. 3, pp. 7823–7831, 2018.
[13] W. Komputer, Panduan Belajar MySQL Database Server, 1st ed. Jakarta Selatan: Media Kita, 2010.
[14] S. Haryanti and T. Irianto, “Rancang Bangun Sistem Informasi E-Commerce Untuk Usaha Fashion Studi Kasus Omah Mode Kudus,” J. Speed – Sentra Penelit. Eng. dan Edukasi, vol. 3, no. 1, pp. 8–14, 2011.