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Car Rental Information System Using The Waterfall Method In One Of The Car Rental Companies Dewi, Novita Puspita; Fauka, Ahfi; Parghani, Rizal; Lesmana, Berry
Journal of Economics, Management, and Entrepreneurship Vol. 3 No. 1 (2025): Journal of Economics, Management, and Entrepreneurship
Publisher : P3M, STIE Pasundan, Bandung, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/h2m2hb31

Abstract

Car rental reservations are presently conducted only over WhatsApp. The absence of social media promotions has resulted in stagnant revenue for the company, and there is no established mechanism to streamline data collection and processing for the automobile rental industry. This research seeks to facilitate online car rentals for clients and to deliver information to them effectively, efficiently, and accurately. Furthermore, it aims to augment the company's revenue substantially. The Waterfall software development methodology was selected to emphasise the systematic processes involved in creating this information system. This study seeks to develop and construct an effective car rental information system. The deployment of this car rental information system will enhance operational efficiency in handling rentals, expedite the borrowing and returning processes, and improve the overall user experience.
Design And Implementation Of The Latulip Integrated Service Pos Information System Using The Gulud Regression Method Irawati, Ria; Ibrahim, Rohmat Nur; Suwarno, Adi; Lesmana, Berry
Informatics Management, Engineering and Information System Journal Vol. 3 No. 2 (2025): Informatics Management, Engineering and Information System Journal
Publisher : LPPM STMIK Mardira Indonesia

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Abstract

The Latulip Integrated Service Post is essential for overseeing maternity and child health within the community.  An integrated information system has been designed utilising the rolling regression method to improve the efficiency and efficacy of data management and facilitate superior decision-making.  This system is designed to oversee critical components of the integrated service post, encompassing child data, maternal data, immunization schedules, child development monitoring, activity schedules, and health articles.  The system offers easily accessible and interactive capabilities through three primary stakeholders: parents, community health workers, and administrators.  The rolling regression technique is utilised to examine and forecast child development using existing historical data.  This analysis enables the system to provide more precise recommendations regarding children's health needs and to monitor their development consistently.  The deployment of this method has demonstrated efficacy in enhancing the quality of information provided to users and aiding community health professionals in making more informed decisions about health interventions.  The findings demonstrate that the Latulip Integrated Service Post information system can proficiently integrate diverse data, deliver reliable analysis, and provide substantial support for the operations of the integrated service post.  Consequently, this system is anticipated to function as a prototype for the creation of more integrated service information systems across diverse geographies.