Seloatmodjo, Xavier Wahyuadi (2022) Pembangunan Web Linked Open Data Halal Menggunakan Elasticsearch. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Halal merupakan salah satu aspek yang menjadi perhatian penting bagi umat Muslim dalam memilih produk makanan dan minuman. Keberadaan informasi mengenai status kehalalan suatu produk seringkali sulit diakses secara cepat dan terintegrasi. Linked Open Data (LOD) menjadi salah satu pendekatan yang dapat digunakan untuk menyajikan data yang terhubung, terstandarisasi, dan dapat diakses oleh publik. Penelitian ini bertujuan untuk membangun sebuah sistem web berbasis Linked Open Data Halal dengan memanfaatkan Elasticsearch sebagai mesin pencari. Sistem ini dirancang untuk memudahkan pengguna dalam mencari dan mengakses informasi terkait kehalalan produk secara efisien. Data yang digunakan dalam penelitian ini dikumpulkan dari berbagai sumber terbuka yang kemudian dilakukan proses pembersihan dan transformasi ke dalam format RDF (Resource Description Framework). Selanjutnya, data tersebut diindeks ke dalam Elasticsearch untuk meningkatkan kecepatan pencarian. Hasil pengujian menunjukkan bahwa sistem yang dibangun mampu melakukan pencarian data halal secara cepat dan akurat dengan memanfaatkan fitur full-text search yang disediakan oleh Elasticsearch. Sistem ini diharapkan dapat memberikan kontribusi dalam penyebaran informasi halal yang lebih transparan dan mudah diakses oleh masyarakat luas, khususnya bagi umat Muslim yang membutuhkan kepastian mengenai status kehalalan produk.
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Halal is one of the aspects that is an important concern for Muslims in choosing food and beverage products. Information regarding the halal status of a product is often difficult to access quickly and in an integrated manner. Linked Open Data (LOD) is one of the approaches that can be used to present data that is connected, standardized, and accessible to the public. This study aims to build a web system based on Halal Linked Open Data by utilizing Elasticsearch as a search engine. This system is designed to make it easier for users to search for and access information related to product halal status efficiently. The data used in this study were collected from various open sources which were then cleaned and transformed into RDF (Resource Description Framework) format. Furthermore, the data were indexed into Elasticsearch to improve search speed. The test results show that the system built is capable of performing halal data searches quickly and accurately by utilizing the full-text search features provided by Elasticsearch. This system is expected to contribute to the dissemination of halal information that is more transparent and easily accessible to the wider community, especially for Muslims who need certainty regarding the halal status of products.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSI 006.312 Sel p-1 2022 |
| Uncontrolled Keywords: | Halal. Linked Open Data. Elasticsearch. Halal. Linked Open Data. Elasticsearch. |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD30.213 Management information systems. Dashboards. Enterprise resource planning. |
| Divisions: | Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Information System > 57201-(S1) Undergraduate Thesis |
| Depositing User: | Mr. Marsudiyana - |
| Date Deposited: | 03 Jun 2026 03:28 |
| Last Modified: | 03 Jun 2026 03:28 |
| URI: | http://repository.its.ac.id/id/eprint/133513 |
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