Implementation of Web-Based Room Management System for Boarding House Operations

The rapid advancement of digital technologies has significantly impacted various sectors, including property management. However, boarding house management still relies heavily on manual processes, resulting in inefficiencies such as inaccurate tenant data, delayed payments, and difficulties in monitoring room occupancy. This study aims to design and develop a web-based room management information system for Pak Yadi Boarding House, aimed at automating and streamlining key administrative tasks. Using the Waterfall development model, the study follows five phases: requirements analysis, system design, implementation, testing, and maintenance. Data collection was performed through literature review, observation, and interviews with the boarding house owner. The system was implemented using the Laravel framework and MySQL, with system architecture designed using UML diagrams. Testing was conducted using the Black Box method, with user acceptance testing involving one administrator and ten tenants. Key features tested include room data entry, tenant registration, payment invoicing, and complaint management. Results showed that all features performed as intended, and 90% of users expressed satisfaction with the system’s functionality and interface. The system successfully reduced administrative workload, minimized data entry errors, and enhanced operational efficiency. This research demonstrates that web-based systems can improve boarding house management and offers a scalable model for similar small-scale accommodations. Future research could explore integrating mobile access and cloud storage to enhance flexibility and remote management capabilities.

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Publication Details

Journal
bit-Tech
Published
2025-08-10
DOI
https://doi.org/10.32877/bt.v8i1.2738
Primary Topic
Information Retrieval and Data Mining
Type
article
Field-Weighted Citation Impact
0.00
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article

Implementation of Web-Based Room Management System for Boarding House Operations

Afu Ichsan Pradana, Rudi Susanto, Renata Gilang Saputra
bit-Tech
Information Retrieval and Data Mining
article

Implementation of Web-Based Room Management System for Boarding House Operations

Afu Ichsan Pradana, Rudi Susanto, Renata Gilang Saputra
article en

Abstract

The rapid advancement of digital technologies has significantly impacted various sectors, including property management. However, boarding house management still relies heavily on manual processes, resulting in inefficiencies such as inaccurate tenant data, delayed payments, and difficulties in monitoring room occupancy. This study aims to design and develop a web-based room management information system for Pak Yadi Boarding House, aimed at automating and streamlining key administrative tasks. Using the Waterfall development model, the study follows five phases: requirements analysis, system design, implementation, testing, and maintenance. Data collection was performed through literature review, observation, and interviews with the boarding house owner. The system was implemented using the Laravel framework and MySQL, with system architecture designed using UML diagrams. Testing was conducted using the Black Box method, with user acceptance testing involving one administrator and ten tenants. Key features tested include room data entry, tenant registration, payment invoicing, and complaint management. Results showed that all features performed as intended, and 90% of users expressed satisfaction with the system’s functionality and interface. The system successfully reduced administrative workload, minimized data entry errors, and enhanced operational efficiency. This research demonstrates that web-based systems can improve boarding house management and offers a scalable model for similar small-scale accommodations. Future research could explore integrating mobile access and cloud storage to enhance flexibility and remote management capabilities.

bit-TechVol. 8(1)
Universitas Nusa Bangsa (ID)
Openalex Percentile: Top 69%
Information Retrieval and Data Mining
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