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All Journal CCIT (Creative Communication and Innovative Technology) Journal Jurnal Sistem Informasi dan Informatika (SIMIKA) Journal of Innovation and Future Technology (IFTECH)
Persis Haryo Winasis
Universitas Budi Luhur
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Library & Information Science

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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.
RANCANG BANGUN SISTEM DETEKSI KATARAK MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK Widyawati Widyawati; Rafli Sidik; Ely Nuryani; Persis Haryo Winasis
Journal of Innovation And Future Technology Vol. 7 No. 1 (2025): Vol 7 No 1 (Februari 2025): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v7i1.3895

Abstract

Cataract is a condition in which the lens inside the eye becomes cloudy, resulting in blurred or hazy vision. RSAW treats around 800 cataract patients every month, served by seven cataract ophthalmologists. The limited number of doctors and different levels of expertise can affect the duration of the initial screening time. Therefore, a system is needed that can support doctors in the cataract diagnosis process. Convolutional Neural Network (CNN) is a type of neural network specifically designed to process image or video data. CNN is a type of deep learning model that can train systems using large amounts of data and integrate the feature extraction process with classification. This study aims to develop and evaluate the performance of a CNN-based cataract detection system as a tool for early diagnosis in cataract patients at RSAW. The CNN model was trained using an eye image dataset consisting of 1120 images of cataract and non-cataract patients. The CNN architecture used was VGG16, chosen for its ability to extract relevant features. The evaluation results show that the system is able to detect cataracts with an accuracy of 96.43%, This system has the potential to increase the efficiency of the screening process and reduce the workload of doctors, thereby improving the quality of eye health services.
RANCANG BANGUN SISTEM PEMINJAMAN BARANG DAN RUANGAN DI UNIVERSITAS BANTEN JAYA BERBASIS WEBSITE Widyawati Widyawati; Aisyah Fatamawati; Tifani Intan Solihati; Persis Haryo Winasis
Journal of Innovation And Future Technology Vol. 7 No. 2 (2025): Vol 7 No 2 (Agustus 2025): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/mcs4wc17

Abstract

The Facilities and Infrastructure Unit at Banten Jaya University (UNBAJA) plays a crucial role in supporting the institution’s operational and academic excellence. As the university grows, the need for efficient, accurate, and technology-driven systems becomes increasingly important, particularly in managing resources such as rooms, goods, and vehicles. Currently, the loan system for these assets is still conducted manually, relying on inventory logbooks and Microsoft Office tools. This conventional method often results in data redundancy, errors in data entry, and frequent conflicts in scheduling due to lack of real-time updates and validation mechanisms. To address these challenges, this research focuses on developing a web-based loan system designed to streamline and digitize the borrowing process for students, lecturers, and administrative staff. The system is built using the Agile development methodology, ensuring iterative feedback and continuous improvement. It utilizes PHP as the core programming language, with Laravel serving as the framework and MySQL as the database engine. The application design is modeled using Unified Modeling Language (UML) to provide clear and structured system architecture. Functionality and reliability are tested through the Black Box testing method, ensuring all system functions perform as expected. The implementation of this system significantly improves the efficiency of the loan process, enhances data accuracy, and facilitates better inventory and usage reporting. Additionally, the system enforces a First In, First Out (FIFO)mechanism, promoting fairness and orderliness in resource distribution. This digital transformation marks a strategic step in aligning UNBAJA’s operations with modern information technology practices.
Co-Authors Aisyah Fatamawati Ely Nuryani Rafli Sidik Raga Maulana Tifani Intan Solihati Tifani Intan Solihati Widyawati Widyawati Yodi Susanto