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Implementation of Data Mining to Determine Payment Delays for Mall Shopping Center Tenants Using K-Means Clustering Method Ary Suryo Bimantoro; Rafi Athallah; Naufal Ifsan Al-Azhar; Nilo Legowo
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6080

Abstract

With the rapid growth of their business, XYZ Company wanted to utilize their data to the upmost maximum. One of the methods to make the most out of their data is to do data mining. With the available data and RapidMiner as processing tool, researcher can build a clustering model to determine the accuracy of payment for their clients. It was discovered that the dataset can be divided into 3 clusters, namely on time, late, and very late. From the cluster discovered, a suggestion can be made on how to handle the payment for each group, so that there will be no more late payment in the future by applying a penalty for the tenants that are late paying their bills.
Factor Affecting User Satisfaction of Property Management Helpdesk Mobile Application Using End User Computing Satisfaction (EUCS) Modification Model Rahmat Maulana, Ihsan; Nilo Legowo
International Journal of Advances in Data and Information Systems Vol. 6 No. 1 (2025): April 2025 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i1.1370

Abstract

The property industry has benefited from ongoing technological advancements in apartment management. In Indonesia, apartments are among the fastest-growing real estate types. Consequently, tenants face greater competition for quality services, especially in helpdesk support. The property management helpdesk application is a modern solution developed by the property business to improve service delivery. Tenants can submit requests and complaints directly through mobile apps. This study employs a modified End User Computing Satisfaction (EUCS) model to evaluate user satisfaction with the helpdesk application. Additional variables include system quality, perceived usefulness, and attitude toward use. A simple random sampling strategy and quantitative methodology were applied. Primary data were collected through questionnaires from 336 users of the property management helpdesk application. Findings indicate that system quality, content, accuracy, format, ease of use, and timeliness positively affect users’ attitudes toward the application. The results also show that both system quality and attitude toward use have a significant positive impact on user satisfaction. These data provide valuable insights for improving the application functionalities and user experience. The findings assist property management in improving service quality via enhanced application performance, elevating user happiness and renter retention in a competitive property landscape.
Modeling and Deploying RESTful Services with SOMF-Based SOA: A Case Study in the Credit Guarantee Industry Ramdhani, Amrid; Nilo Legowo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 5 (2025): October 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i5.6867

Abstract

The integration of electronic systems across financial institutions poses significant challenges, particularly when legacy architectures rely on siloed, point-to-point connections. This often leads to what is commonly known as "spaghetti integration," where changes in one system can trigger unintended disruptions in others. This study addresses such integration issues within the Kredit Usaha Rakyat (KUR) credit guarantee service of an Indonesian credit guarantee institution by implementing a Service-Oriented Architecture (SOA) approach, guided by the Service-Oriented Modeling Framework (SOMF). This study aims to improve system performance, scalability, and regulatory adaptability through a structured, multi-phase methodology based on SOMF: conceptualization, discovery and analysis, business integration, logical design, and logical architecture. Data for the study were drawn from system documentation, national regulatory requirements (e.g., Coordinating Minister Regulation No. 1/2023), and the evaluation of service interactions via RESTful APIs using lightweight JSON formatting. These findings demonstrate that the adoption of SOA with SOMF enables the development of modular, interoperable, and adaptable services. This approach reduces redundant processes, enhances real-time data flow, and strengthens integration between the guarantee institution and its partner banks. The resulting system aligns with modern digital governance requirements and provides a sustainable foundation for future growth and compliance.