scholarly journals KAJIAN PEMANFAATAN DATA GOOGLE MAPS DALAM OFFICIAL STATISTICS

2021 ◽  
Vol 2020 (1) ◽  
pp. 328-337
Author(s):  
Cholifa Fitri Annisa ◽  
Setia Pramana

Publikasi statistik usaha penyediaan makan minum yang diterbitkan oleh BPS tidak bisa memfasilitasi pebisnis dalam mengidentifikasikan daerah yang berpotensi memiliki kemampuan untuk dikembangkan usaha pada sektor penyediaan makan dan minum. Selain itu, adanya keterbatasan waktu, biaya, dan tenaga dalam pengumpulan data oleh Subdirektorat Pariwisata BPS pada survei VREST sehingga, menyebabkan statistik penyediaan makan minum tidak bisa di terbitkan sesuai metodologi yaitu setiap tahun. Penelitian ini memanfaatkan metode web scraping untuk mendapatkan data usaha penyedia makan minum dari situs web google maps. Jumlah data yang terkumpul sebanyak 34.526 usaha penyedia makan minum di Pulau Jawa dan Bali. Hasil nilai pencocokan data hasil web scraping dengan data frame BPS menunjukkan persentase kemiripan (match) sebesar 68,22%. Provinsi Bali adalah daerah yang memiliki potensi untuk mengembangkan usaha penyediaan makanan minuman terkhusus pada Kota/Kabupaten Jembrana, Buleleng, Tabanan, Karangasem, dan Klungkung. Sedangkan, provinsi Jawa Tengah adalah daerah yang memiliki potensi untuk mengembangkan usaha akomodasi terkhusus pada Kota/Kabupaten Cilacap, Blora, Grobogan, Batang, dan Kendal.

Web Services ◽  
2019 ◽  
pp. 728-744 ◽  
Author(s):  
Antonino Virgillito ◽  
Federico Polidoro

Following the advent of Big Data, statistical offices have been largely exploring the use of Internet as data source for modernizing their data collection process. Particularly, prices are collected online in several statistical institutes through a technique known as web scraping. The objective of the chapter is to discuss the challenges of web scraping for setting up a continuous data collection process, exploring and classifying the more widespread techniques and presenting how they are used in practical cases. The main technical notions behind web scraping are presented and explained in order to give also to readers with no background in IT the sufficient elements to fully comprehend scraping techniques, promoting the building of mixed skills that is at the core of the spirit of modern data science. Challenges for official statistics deriving from the use of web scraping are briefly sketched. Finally, research ideas for overcoming the limitations of current techniques are presented and discussed.


2021 ◽  
Vol 7 (3) ◽  
pp. a1en
Author(s):  
Marcello Tenorio de Farias ◽  
Alan César Belo Angeluci ◽  
Brasilina Passarelli

With the spread of access and use of information through the web and social networks, information retrieval in large volumes of data has become unfeasible by manual methods. In this applied study, the contribution of the development and use of a prototype tool for automatic data scraping from online evaluations made on Google Maps – Discovery Stars – was reported. The retrieved data allowed us to investigate how these assessments can have the potential to influence the behavior of the platform's users. Among the results, it was observed that the reading and posting of reviews impact the formation of opinion and motivations of Google Maps users.  


Author(s):  
Antonino Virgillito ◽  
Federico Polidoro

Following the advent of Big Data, statistical offices have been largely exploring the use of Internet as data source for modernizing their data collection process. Particularly, prices are collected online in several statistical institutes through a technique known as web scraping. The objective of the chapter is to discuss the challenges of web scraping for setting up a continuous data collection process, exploring and classifying the more widespread techniques and presenting how they are used in practical cases. The main technical notions behind web scraping are presented and explained in order to give also to readers with no background in IT the sufficient elements to fully comprehend scraping techniques, promoting the building of mixed skills that is at the core of the spirit of modern data science. Challenges for official statistics deriving from the use of web scraping are briefly sketched. Finally, research ideas for overcoming the limitations of current techniques are presented and discussed.


2021 ◽  
Vol 2021 (1) ◽  
pp. 1065-1075
Author(s):  
Masyitah Ayuning Setyo ◽  
Waris Marsisno

Statistik Potensi Desa (PODES) merupakan produk Official Statistics yang pada umumnya dihasilkan dari kegiatan pemutakhiran menjelang dilaksanakannya suatu Sensus oleh Badan Pusat Statistik. Variabel yang relatif banyak ditanyakan pada kuesioner PODES adalah jumlah dan jarak infrastruktur yang terdapat di suatu desa. Variabel-variabel ini digunakan untuk penyusunan berbagai indeks, sehingga di-update setiap tahunnya di luar tahun pendataan PODES. Di sisi lain, ketersediaan Big Data memiliki potensi untuk memudahkan pemutakhiran data PODES. Salah satu sumber dari Big Data yang memiliki potensi untuk dimanfaatkan dalam pemutakhiran PODES adalah Google Maps. Penelitian ini dilakukan untuk mengetahui pola dan keakuratan data yang dihasilkan oleh Google Maps. Pengumpulan data infrastruktur dilakukan dengan pembangunan web-scraper dengan Bahasa Python untuk studi kasus pada wilayah Kota Yogyakarta. Dari penelitian ini ditemukan bahwa proses pengumpulan dan pre-processing data membutuhkan waktu dan proses yang lama dan secara umum memiliki tingkat akurasi data yang masih rendah untuk mengestimasi jumlah infrastruktur per desa. Sedangkan untuk akurasi dari titik koordinat Google Maps sudah relatif baik, namun variabel jarak yang diinformasikan oleh Google Maps masih memerlukan penelitian lanjutan ke lapangan. Selain itu, ditemukan bahwa data Google Maps belum dapat mengidentifikasi secara langsung infrastruktur puskesmas dan pasar sesuai kebutuhan dalam PODES. Berdasarkan temuan dari penelitian ini, disimpulkan bahwa Google Maps belum dapat dimanfatkaan untuk pemenuhan variabel jumlah dan jarak infrastruktur pada PODES.


2021 ◽  
pp. 1-14
Author(s):  
Ayoub Faramarzi ◽  
Reza Hadizadeh ◽  
Saeed Fayyaz ◽  
Sohrab Sajadimanesh ◽  
Abbas Moradi

Data pervasiveness was made possible by the advent of new technologies such as the Internet and the World Wide Web in every human and non-human activity. This created an exponential increase or data explosion in data generation, coined under the term Big data. Alternatively, Big Data sources can contribute to the reduction of the response burden or they can be used only to study some economic or social phenomena before designing a statistical survey which is inherently expensive to pilot. Also, incorporating Big Data sources into official statistics means maintaining a net competitive advantage and relevance of the official statistics products compared to those provided by a plethora of commercial players, with reference to large corporations that are active in the field of information technology. In this paper, the web scraping technique was used to extract the daily prices of the food and drinks products in order to replace them with conventional prices which had been used for price indices. Moreover, these sorts of new datasets enable us to calculate the indices in smaller time scales like weekly or daily basis in comparison to the conventional approach which is possible only on monthly basis. Although web scraping has its own problems, it is more economically friendly, accurate, and time-saving, especially in urban areas. Findings revealed that the web scraping technique can be applied as an effective alternative to conventional methods for CPI. Also, this technique can be used for other price statistics.


2021 ◽  
Vol 7 (3) ◽  
pp. a1pt
Author(s):  
Marcello Tenorio de Farias ◽  
Alan César Belo Angeluci ◽  
Brasilina Passarelli
Keyword(s):  

O web scraping se apresenta hoje como técnica valiosa para a obtenção de insights de grandes bases de dados como as decorrentes, por exemplo, da interação de usuários com a web e redes sociais, cujas informações seriam de difícil coleta e análise por meio de métodos manuais. Neste estudo aplicado, demonstrou-se a contribuição do desenvolvimento e uso de um protótipo de ferramenta para raspagem de dados de avaliações online feitas no Google Maps. O objetivo foi investigar como essas avaliações podem influenciar comportamentos dos usuários da plataforma. Dentre os resultados, observou-se que a leitura e postagem de avaliações suscitou nos usuários do Google Maps investigados reflexões sobre formação de opinião, motivações e senso crítico.


Author(s):  
Yustiar Adhinugroho ◽  
◽  
Amanda Putra ◽  
Muhammad Luqman ◽  
Geri Ermawan ◽  
...  

Introduction. This research aims to study a novel approach to producing tourism statistics, especially accommodation statistics, in Indonesia using scraping of online travel agent Websites. Method. Accommodation data (e.g., room availability and price) were gathered from two of the largest online travel agencies in Indonesia. All data were collected automatically from the sites’ URLs listed in the sitemap. Analysis. The data were collected daily from 6 March to 27 July 2019. Datasets from the two Websites were merged. The room occupation rate (ROR) for each province was calculated and compared with the official statistics from Statistics Indonesia. Results. The results show that the online room occupancy rates and official statistics have a similar pattern indicating the use of the Web scraping technique provides valuable information, to measure the room occupation rate with an advantage in terms of cost and collection time. Conclusions. It is feasible to use big data as a proxy of or a complement to official statistics, especially in tourism statistics. By using the Web scraping technique, the indicator that usually requires significant time and cost can be done in real-time and less cost. This new approach would improve the quality of tourism statistics produced by BPS Statistics Indonesia.


2018 ◽  
pp. 120-164
Author(s):  
Alessandra Corigliano
Keyword(s):  
Low Cost ◽  

Nella sentenza di seguito commentata, la Corte d'Appello di Milano, in merito alla decisione di Ryanair di escludere qualsiasi intermediazione commerciale nella vendita dei propri biglietti aerei, si è pronunciata nella vertenza tra la compagnia aerea irlandese e l'agenzia di viaggi italiana Viaggiare che, in primo grado, ha denunciato il comportamento di Ryanair in quanto avrebbe ostacolato con il proprio comportamento l'agenzia di viaggio nella vendita dei biglietti aerei di Ryanair direttamente ai consumatori, costringendo l'agenzia stessa a riutilizzare i dati forniti dal database di Ryanair al fine di vendere indirettamente i biglietti sul suo sito web. La Corte (in parziale riforma della sentenza del Tribunale di primo grado) ha ritenuto che la decisione della compagnia aerea di riservarsi la vendita di biglietti aerei non costituisse un abuso di posizione dominante come previsto dall'articolo 102 del Trattato sul Funzionamento dell'Unione Europea, in quanto Ryanair deteneva nel mercato dei voli europei solo il 10%, quota questa molto bassa, che varrebbe a escludere una posizione dominante della compagnia su detto mercato. Nell'ottica della normativa antitrust, è stata accolta la mozione di Ryanair volta ad escludere una posizione dominante sul mercato dei voli europei, mentre nell'ottica dei diritti di proprietà intellettuale la domanda di Ryanair è stata respinta. A questo proposito, la Corte non ha accolto la mozione di Ryanair in base alla quale l'uso dei suoi marchi da parte di Viaggiare violasse i diritti privativi di Ryanair; la Corte ha inoltre stabilito che il database di Ryanair non potesse essere considerato di proprietà di quest'ultima, in quanto lo stesso, essendo del tutto svincolato da specifiche tecniche e funzionali che ne dettano la scelta e l'organizzazione dei dati, non può essere considerato alla stregua di una manifestazione creativa e, quindi, proprietà intellettuale ai sensi dell'art. 2, 64-quinques e 64-sexies della Legge sul Copyright. La Corte ha quindi ritenuto che non vi fosse nemmeno protezione ai sensi della cosiddetta dottrina "sui generis" del database Rynair poiché la protezione di tale database era finalizzata ad escludere la commercializzazione dei biglietti aerei e non a proteggere gli sforzi di investimento di Ryanair. La condotta di Viagiare di "screen scraping" dei dati Ryanair relativi all'offerta di biglietti aerei è stata considerata legittima in quanto Ryanair - nei Termini di Utilizzo del suo sito web - ha fornito l'accesso (concessione di licenza) a terzi dei suoi dati


KOMPUTEK ◽  
2017 ◽  
Vol 1 (1) ◽  
pp. 37
Author(s):  
Irfan Khoirul Arifin ◽  
Aliyadi Aliyadi ◽  
Yovi Litanianda

The number of vehicles in Indonesia continues to increase every year. This also happened in Ponorogo regency. It will also be directly proportional to the number of people who have problems with their vehicles, such as leaked tire quotes for being nailed or other causes. And will also increase the need for tire services. For motorists who are less aware of the surrounding area when experiencing damage to motorcycle tires, then of course to find a place nearest tire patch will be quite difficult. Therefore in this study developed information media for Android-based applications to map the locations - tire patch locations in Ponorogo, as well as looking for the closest tire patch with the rider. This app is a location-based service (location-based service) to the driver with the nearest patch of the banal location. Based on the results of testing this application can help users find the location of location preservation, tar bambal patch location, tire repair shop list, and tire repair shop list distance. This application can also show each other the location in accordance with the location of google maps applications. 


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