Persis Haryo Winasis
Universitas Budi Luhur

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Designing Application For Defect Recording and Handover Of Property Based On Mobile Application by Applying SQLite Technology Persis Haryo Winasis; Raga Maulana; Yodi Susanto
CCIT (Creative Communication and Innovative Technology) Journal Vol 13 No 2 (2020): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (872.952 KB) | DOI: 10.33050/ccit.v13i2.990

Abstract

Property development companies that produce housing products, high rise dwellings, and office buildings generally have data on the quality of buildings, one of which is obtained during the defect inspection process between developers and consumers before handing over units. Recording data is generally still done manually using a form on a paper. For these conditions, researchers tried to build an application based on mobile apps to digitally record the defect checklist of the dwelling so that the data collected can be processed for the needs of analysis and development strategies. Difficulties encountered during the unit handover process using digital methods on the newly completed property, one of which is the quality of data and internet signals. Mobile apps certainly require a data signal connection to send data to the server. This Android-based mobile apps will implement SQLite technology which allows the recording of transactions to be done locally first, which can then be synchronized into the database server after getting the required internet data connection. SQLite was chosen because it has a relatively small library code unlike relational DBMS in general. SQLite is also easy to use without complex configurations. With the support of the ease of function of SQLite it also allows applications to be integrated with the property sales application system.
PENERAPAN DATA MINING UNTUK ANALISIS POLA BELANJA KONSUMEN MENGGUNAKAN ALGORITMA APRIORI PADA MALL CPM JAKARTA Persis Haryo Winasis
Jurnal Sistem Informasi dan Informatika (Simika) Vol 2 No 2 (2019): Jurnal Sistem Informasi dan Informatika (SIMIKA)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v2i2.608

Abstract

Companies engaged in retail such as malls that have a lot of transaction data and sales transactions that are very much. Every purchase transaction made by consumers will be recorded and purchased in one database. Processing data in this study was carried out using a priori algorithm and using the help of the Weka application. The results of data mining in this study are expected to be able to produce new information about spending patterns in a certain period that can be used by the mall manager and store manager to support each related product promotion or organizing an event to increase the number of consumers in a certain period.