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All Journal Jurnal CoreIT CogITo Smart Journal Pariwisata Budaya: Jurnal Ilmiah Pariwisata Agama dan Budaya
Luh Gede Surya Kartika
Universitas Hindu Negeri I Gusti Bagus Sugriwa Denpasar
Arts Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Social Sciences Other

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Penerapan LSA dan Query Suggestion untuk Pencarian Judul Artikel Menggunakan Framework FLASK I Komang Rinartha Yasa Negara; Luh Gede Surya Kartika
CogITo Smart Journal Vol. 8 No. 1 (2022): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v8i1.381.183-193

Abstract

Pencarian informasi melalui web sudah sangat berkembang seiring dengan dukungan perkembangan perangkat keras. Untuk mempermudah proses pencarian data, berbagai macam metode dikembangkan untuk pencarian informasi menggunakan data pencarian yang tersimpan pada browser ataupun menggunakan data yang terdapat di dalam database. Pengembangan query suggestion menggunakan Latent Semantic Analysis dapat dilakukan untuk mempermudah proses pencarian data. Penelitian ini dilakukan dengan menggunakan metode analisis sederhana yaitu dengan menganalisis metode Latent Semantic Analysis, Implementasi, Pengujian program dan analisis hasil query suggestion menggunakan metode tersebut. Data yang digunakan dalam penelitian ini adalah data publikasi yang telah dilaksanakan pada ICORIS 2019 sebagai data uji sebanyak 55 artikel. System diimplementasikan berbasis web menggunakan FLASK framework dan bahasa pemrograman python serta database MySQL. Adapun hasil dari penelitian ini adalah, semakin lengkap kata kunci yang dimasukkan, akan mendapatkan nilai similarity yang semakin tinggi untuk data target yang sesuai. Namun jumlah suggestion akan bertambah sesuai dengan data yang ada. Pada hasil penelitian, urutan kata kunci yang dicari tidak berpengaruh pada pemberian saran pencarian, karena data pencarian dan data didalam database dibandingkan berdasarkan kata-kata yang ada. Serta waktu proses yang didapatkan untuk pemberian suggestion adalah kurang dari 1 menit untuk 55 data judul yang digunakanKata kunci— Query Suggestion, FLASK, Python, MySQL, Latent Semantic Analisys
APLIKASI MODEL KANO UNTUK ANALISIS KEBUTUHAN INFORMASI HARGA PADA E-TOURISM Luh Gede Surya Kartika; I Komang Rinartha Yasa Negara
Jurnal Pariwisata Budaya: Jurnal Ilmiah Pariwisata Agama dan Budaya Vol 6 No 2 (2021)
Publisher : UHN IGB Sugriwa Denpasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (210.87 KB) | DOI: 10.25078/pariwisata.v6i2.130

Abstract

Price information on the e-toursim website is important, because it can be used as a reference for making travel decisions. However, until now there has been no research on the need for price information and especially on e-tourism. Confirmation of the need for price information on e-tourism will lead to the effect of this functionality on satisfaction and disappointment ofe-tourism users. This study uses the Kano model to determine the functional needs of price information on e-tourism. The result obtained is that the functionality of price information is an important quality that must be possessed by an e-tourism website. The Kano category for all pricing information sub functionalities is “Must”. This means that the sub-functionality of tour package price information, tourist activity price information, entrance ticket price information, and transportation price information on e-tourism are functional attributes that can reduce user satisfaction if they are not displayed properly. However, if the price information has been displayed properly, then it will increase user satisfaction significantly because respondents think that price information on e-tourism should exist and the performance is good
Evaluation of the Latent Dirichlet Allocation for Modeling News Topics of Nusantara Capital City Luh Gede Surya Kartika; Anggara Putu Dharma Putra; Komang Rinartha; Megawati Megawati
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol. 11 No. 2 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Research regarding topic modeling on the coverage of the Nusantara Capital City (IKN) in national mass media remains limited. This study aims to not only model IKN-related topics but also rigorously evaluate the Latent Dirichlet Allocation (LDA) model to ensure its robustness for future implementation. The dataset comprises 1,498 news articles gathered from prominent Indonesian online media, specifically Detik (1,050 articles) and Kompas (448 articles). The methodology involves experimental variations of LDA parameters, including document volume, maximum features, and topic count, utilizing the Scikit-learn library. The results indicate that an increase in data volume and feature dimensions significantly correlates with longer computation times and a higher number of epochs required for convergence. Furthermore, the expansion of variables and data volume resulted in more negative log-likelihood values and increased perplexity, suggesting that model complexity challenges predictive precision. A convergence threshold of $1e^{-2}$ was applied to optimize the training cessation point. While this study establishes a baseline for static topic modeling, future research implies the necessity of Dynamic Topic Modeling (DTM) to capture the temporal evolution of topics, a dimension not addressed by the standard LDA model.
Co-Authors Anggara Putu Dharma Putra I Komang Rinartha Yasa Negara Komang Rinartha Megawati Megawati