scholarly journals Reform and Innovation of Government Public Service Algorithm Model in the Era of Big Data

2021 ◽  
Vol 1852 (4) ◽  
pp. 042057
Author(s):  
Mengyuan Li
Author(s):  
Mary Smyth ◽  
Kevin McCormack

Abstract The Identity Correlation Approach (ICA) is a statistical technique developed for matching big data where a unique identifier does not exist. This technique was developed to match the Irish Census 2011 dataset to Central Government Administrative Datasets in order to attach a unique identifier to each individual person in the Census dataset (McCormack & Smyth, 20151). The unique identifier attached is the PPS No. (Personal Public Service No.2). By attaching the PPS No. to the Census dataset, each individual can be linked to datasets held centrally by Public Sector Organisations. This expands the range of variables for statistical analysis at individual level. Statistical techniques developed here were undertaken for a major European Structure of Earnings Survey (SES) compiled by the CSO using administrative data only,  and thus eliminating the need for an expensive business survey to be conducted (NES, 20073,4,5). A description of how the Identity Correlation Approach was developed is given in this paper. Data matching results and conclusions are presented here in relation to the Structure of Earnings Survey (SES)6 results for 2011.


This chapter considers the programme genres in public service broadcasting. Genres that have been traditionally associated with public service broadcasting — such as education, natural history, science, arts, current affairs, children's and religion — have been in steady decline for over a decade. A shift to on-demand viewing in recent years has further segmented viewing habits. Although the vast majority of viewing continues to be live, some genres are increasingly viewed on catch-up services. Big entertainment shows and sports events often account for the highest proportion of live viewing, compared to drama series, which have the highest proportion of on-demand viewing. These trends point to the increasing complexity of maintaining public service mixed genre provision given an increasing reliance on ‘big data’, consumer preferences, and taste algorithms that may limit the diversity and visibility of a broad range of genres.


2018 ◽  
Author(s):  
khikmatul islah

Dalam rangka Good Governance, salah satu upaya yang dilakukan adalah dengan mengembangkan paradigma New Public Service. Implementasi dari paradigma ini dapat memberikan pelayanan tanpa adanya diskriminasi, karena seluruh kegiatan pelayanan yang dilakukan oleh pemerintah berorientasi pada pemberian pelayanan prima, serta mewujudkan asas pelayanan publik seperti yang tercantum dalam Undang-Undang nomor 25 Tahun 2009 tentang Pelayanan Publik yaitu asas kepentingan umum, kepastian hukum, kesamaan hak, keseimbangan hak dan kewajiban, keprofesionalan, partisipasif, persamaan perlakuan/ tidak diskriminatif, keterbukaan, akuntabilitas, fasilitas dan perlakuan khusus bagi kelompok rentan, ketepatan waktu, kecepatan, kemudahan dan keterjangkauan. Peningkatan pelayanan publik (public service) harus mendapatkan perhatian utama dari pemerintah, karena pelayanan publik merupakan hak-hak sosial dasar dari masyarakat (social rihgts ataupun fundamental rights). Landasan yuridis pelayanan publik atas hak-hak sosial dasar diatur dalam ketentuan Pasal 18 A ayat (2) dan Pasal 34 ayat (3) UUD 1945. Dengan demikian Undang-Undang Dasar mengatur secara tegas tentang pelayanan publik sebagai wujud hak sosial dasar (the rights to receive). Penolakan atau penyimpangan pelayanan publik adalah bertentangan dengan UUD 1945. Maka dari itu, berkaitan dengan hal tersebut, Pemerintah harus lebih berupaya dalam peningkatan kualitas pelayanan, diantaranya melalui cara inovasi pelayanan dengan memanfaatkan kemajuan teknologi. Salah satu teknologi yang berkembang saat ini adalah teknologi Big Data. Merupakan suatu peluang dan tantangan bagi Pemerintah untuk memanfaatkannya untuk peningkatan mutu pelayanan.


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