Nafi', Abdul Azizun (2019) Integrasi Data Bantuan Pemerintah Kota Terhadap Penduduk Surabaya Menggunakan Identity Correlation Approach. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Data dan informasi saat ini memiliki peran yang semakin besar seiring dengan semakin berkembangnya teknologi informasi. Data dan informasi yang memiliki kualitas yang baik dapat menjadi keunggulan kompetitif bagi sebuah organisasi dalam menentukan strategi yang tepat serta dapat menunjang sistem egovernment apabila data yang dimiliki dikelola dan dimanfaatkan dengan baik. Pemerintah Kota Surabaya yang merupakan pelopor e-government di Indonesia telah mulai menerapkan sistem e-government sejak tahun 2002 untuk memberikan layanan yang prima kepada masyarakat Kota Surabaya hingga saat ini. Namun, meskipun Pemerintah Kota Surabaya telah membangun sistem berbasis elektronik yang cukup canggih, database SKPD yang dimiliki pemerintah Kota Surabaya memiliki ukuran yang besar dan masih memiliki struktur yang tidak beraturan. Selain itu, database SKPD memiliki isi dataset dari berbagai macam hal yang tidak dikelompokkan dengan baik sehingga sulit untuk mengetahui siapa saja yang menerima bantuan dan bantuan apa saja yang diterima. Oleh karena itu, dilakukan integrasi database penduduk Kota Surabaya dengan database SKPD terkait bantuan-bantuan yang diberikan oleh Pemerintah Kota Surabaya menggunakan string matching yang mengadaptasi metode ICA (Identity Correlation Approach). Dataset yang diperlukan dalam penelitian didapatkan dari pihak BAPPEKO Surabaya. Terlebih dahulu dilakukan pembersihan pada data yang telah didapatkan sebelum dilakukan integrasi. Kemudian hasil integrasi data akan divisualisasikan dalam bentuk tabel yang berisi data bantuan penduduk beserta penerimanya serta sebuah histogram yang menunjukkan persebaran data bantuan penduduk kota Surabaya.
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Data and information now have an increasingly important role along with the development of information technology. Data and information that has good quality can be a competitive advantage for an organization in determining the right strategy and can support the e-government system if the data owned is managed and utilized properly. The Surabaya City Government which is the pioneer of e-government in Indonesia has begun to implement an e-government system since 2002 to provide excellent service to the people of Surabaya City to date. However, even though the Surabaya City Government has developed an electronic-based system that is quite sophisticated, the SKPD database owned by the Surabaya City Government has a large size and still has an irregular structure. In addition, the SKPD database has the contents of datasets of various kinds of things that are not well grouped so that it is difficult to know who received assistance and what assistance was received. Therefore, the integration of the Surabaya City population database with the SKPD database related to the aid provided by the Surabaya City Government uses string matching that adapts the ICA (Identity Relationship Approach) method. The dataset needed in the study was obtained from BAPPEKO Surabaya. viii First cleaning is done on the data that has been obtained before integration. Then the results of data integration will be visualized in the form of a table that contains data on the aid of residents and their recipients as well as a histogram that shows the distribution of aid data for Surabaya city residents.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSSI 658.403 801 1 Naf i-1 2019 |
| Uncontrolled Keywords: | Integrasi Data, Database Penduduk, Database SKPD, ICA, Bantuan Penduduk. |
| Subjects: | L Education > L Education (General) T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T57.62 Simulation T Technology > T Technology (General) > T57.83 Dynamic programming Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
| Divisions: | Faculty of Information Technology > Information System > 57201-(S1) Undergraduate Thesis |
| Depositing User: | Abdul Azizun Nafi |
| Date Deposited: | 13 Jun 2024 05:38 |
| Last Modified: | 13 Jun 2024 05:38 |
| URI: | http://repository.its.ac.id/id/eprint/64443 |
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