Web Scraping Techniques to Collect Weather Data in South Sumatera

Fatmasari,; Kunang, Yesi Novaria; Purnamasari, Susan Dian

doi:10.1109/icecos.2018.8605202

Cited by 15 publications

(8 citation statements)

References 10 publications

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“…This process aims to extract the keyword suggestion data, as well as "allintitle". The stages of the extraction process using the web scraping method in this study are as follows [18]: a. In the analysis phase, the HTML and JSON structure of the Google search engine website were studied.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Web Scraping Techniques to Get Keywords Suggestion and Allintitle Automatically from Google Search Engines

Murdiyanto

Priadana

2021

Compiler

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Keyword research is one of the essential activities in Search Engine Optimization (SEO). One of the techniques in doing keyword research is to find out how many articles titles on a website indexed by the Google search engine contain a particular keyword or so-called "allintitle". Moreover, search engines are also able to provide keywords suggestion. Getting keywords suggestions and allintitle will not be effective, efficient, and economical if done manually for relatively extensive keyword research. It will take a long time to decide whether a keyword is needed to be optimized. Based on these problems, this study aimed to analyze the implementation of the web scraping technique to get relevant keyword suggestions from the Google search engine and the number of "allintitle" that are owned automatically. The data used as an experiment in this test consists of ten keywords, which each keyword would generate a maximum of ten keywords suggestion. Therefore, from ten keywords, it will produce at most 100 keywords suggestions and the number of allintitles. Based on the evaluation result, we got an accuracy of 100%. It indicated that the technique could be applied to get keywords suggestions and allintitle from Google search engines with outstanding accuracy values.

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Section: Methodsmentioning

confidence: 99%

Analysis of Web Scraping Techniques to Get Keywords Suggestion and Allintitle Automatically from Google Search Engines

Murdiyanto

Priadana

2021

Compiler

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“…This study uses web mining techniques with scraping tool, as shown in Fig 1. to mine data from three e-marketplaces in Indonesia, namely: Shopee, Tokopedia, and Bukalapak which contain products, sellers, and attributes selected as criteria [13]. The selection of these attributes is based on previous study [12], and sourced from field research by surveys and interviews with a number of respondents who are experienced and still actively transacting in the e-marketplace.…”

Section: Methodsmentioning

confidence: 99%

Multi-Criteria Decision Making with the VIKOR and SMARTER Methods for Optimal Seller Selection from Several E-Marketplaces

2020

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Many similar products offered by several sellers in e-marketplace applications make the buyers need to be more selective when shopping. This article addresses the prioritization of the goods sellers alternatives in e-marketplace by integrating the VIKOR with the SMARTER method for the process of multi-criteria decision making (MCDM) by considering various variables as selection criteria. There are five variables of sellers in the e-marketplace that are used as selection criteria, namely: product price, number of products sold, seller score rating, number of reviews with five stars, and location distance. The SMARTER method is used to determine the criteria weight, and the VIKOR model to rank the alternative priorities according to the weighted index. The case studies are conducted on three e-marketplace in Indonesia with the most number of monthly web visitors, namely: Shopee, Tokopedia, and Bukalapak. Finally, integration of SMARTER and VIKOR method allows the buyers to get the good products at competitive prices from the optimal goods sellers in the e-marketplace.

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“…Dan hasil yang didapat berupa website yang dalam menampilkan data produk terlaris sesuai dengan yang ada di marketplace. Teknik web scraping atau yang lebih dikenal dengan screen scraping berfokus dalam mengambil informasi dari sebuah website secara otomatis [4]. Pada beberapa penelitian web scraping digunakan untuk menampilkan data yang duhasilkan dari hasil pencarian.…”

Section: Pendahuluanunclassified

Pengujian Implementasi Rest Api Pada Website Sistem Pencarian Informasi Produk Fashion Di Shopee

Umami

Ningrum²

2021

sitech

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Sistem E-Commerce salah satu contoh dari perkembangan perdagangan yang terjadi di Indonesia. Kegiatan E-Commerce memiliki arti yang luas dan mencangkup banyak kegiatan bisnis dengan menggunakan internet, sebagai contoh kegiatan jual-beli produk melalui internet. Akan tetapi karena banyaknya toko online yang beredar para pembeli menjadi kesulitan untuk mencari informasi produk yang dicari. Terdapat beberapa website yang sudah ada untuk pencarian informasi produk namun masih belum sesuai dalam menampilkan produk. Sehingga walaupun sudah tersedia website serupa namun hasil dari informasi produk yang tampilkan masih belum sesuai dengan keyword yang diinputkan atau keinginan pembeli. Pada penelitian ini, digunakan teknik scraping dan implementasi arsitektur REST API untuk melakukan pencarian produk online dari website E-Commerce sesuai dengan yang diinputkan.

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Web Scraping Techniques to Collect Weather Data in South Sumatera

Cited by 15 publications

References 10 publications

Analysis of Web Scraping Techniques to Get Keywords Suggestion and Allintitle Automatically from Google Search Engines

Analysis of Web Scraping Techniques to Get Keywords Suggestion and Allintitle Automatically from Google Search Engines

Multi-Criteria Decision Making with the VIKOR and SMARTER Methods for Optimal Seller Selection from Several E-Marketplaces

Pengujian Implementasi Rest Api Pada Website Sistem Pencarian Informasi Produk Fashion Di Shopee

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