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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Engineering, Mathematics and Computer Science Journal (EMACS)
Devriady Pratama
Bina Nusantara University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mathematics

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Prototipe data warehouse pada instansi pelayanan pajak daerah: Studi kasus pada Badan Pendapatan Daerah Kabupaten Badung Devriady Pratama
Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 1 (2020): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v2i1.5955

Abstract

Perpajakan daerah merupakan salah satu sarana pemerintah daerah untuk mendapatkan anggaran belanja pembangunan. Data perpajakan daerah sangat penting karena menjadi dasar rencana kemampuan pemerintah daerah untuk membuat anggaran. Sistem yang terintegrasi menjadi sangat penting guna mendapatkan sumber data yang lengkap dan valid untuk kepentingan analisis kebijakan daerah. Penelitian ini akan memberikan rancangan data warehouse bagi instansi pengelola pajak daerah guna pengelolaan data analisis yang lengkap dan cepat. Perancangan data warehouse dalam penelitian ini akan mengadopsi perancangan data warehouse oleh Ralph Kimball. Hasil dari penelitian ini adalah berupa rancangan data warehouse dengan sumber data dari beberapa aplikasi operasional yang ada yang dapat digunakan sebagai sumber data analisis yang lengkap dan cepat. Perancangan data warehouse mampu memberikan mekanisme integrasi data dan kemampuan analisis yang lebih luas.
Mobile Application for Market Data Collection of Property Tax Object Devriady Pratama
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 1 (2025): Maret 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i1.10748

Abstract

This research focuses on designing a mobile application for collecting property market data to support Land Value Zone (ZNT) analysis for local governments. Currently, market data collection processes are often conducted manually, which is time-consuming, resource-intensive, and prone to subjectivity. The proposed application leverages mobile technology to enhance the efficiency and effectiveness of field data collection with features such as user authorization, geographic data storage, and multimedia data storage, including images. The research adopts the prototyping method, involving direct interaction between developers and users. Testing results indicate that the application performs its functions effectively and facilitates data collection based on Geospatial Information Systems (GIS). This study suggests further development for other mobile platforms and modules for price analysis based on ZNT.
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