Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal INOVTEK Polbeng - Seri Informatika
Romli, Ali
Unknown Affiliation
Computer Science & IT

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

Found 2 Documents
Search

 1 
Development of Android-Based Package Sorting Application Based on Distance Arya, Dionisius; Romli, Ali
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/wj72r311

Abstract

In the operational logistics of goods delivery, the effectiveness of couriers in organizing and managing packages plays a crucial role in optimizing delivery routes. The objective of developing this Android-based package sorting application is to reduce errors in the sorting process before packages are placed into storage bags. With the help of this application, couriers can prioritize the farthest packages for loading into the storage bags first, while stacking the nearest packages on top. The methodology employed involves scanning package receipts using barcodes and calculating distances based on the coordinates of the courier and the recipient using the Haversine formula. The application was tested using black-box techniques, ensuring that each feature functions as expected. Additionally, testing was conducted with five couriers and five admin staff from the delivery company by providing a questionnaire containing questions about the developed application. The number of errors before and after using the application was used to determine the success of error reduction in the package sorting process. The results from the questionnaire indicate a 96.88% reduction in sorting errors, signifying that the developed application effectively lowered the error rate during the package sorting process. This reduction in errors leads to a faster sorting process, providing benefits such as decreasing delivery delays, which significantly enhances customer satisfaction and improves the quality of the delivery company.
Mobile Health Monitoring Application as an Effort to Detect Stunting in Early Childhood Based on Android Bagus, Ridwan; Romli, Ali
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/6m2tse18

Abstract

Stunting, as a chronic nutritional problem that inhibits optimal child growth, has a significant impact on Indonesia's demographic bonus potential. In Indonesia, the prevalence of stunting reached 24.4% in 2021, with long-term impacts including cognitive decline, low productivity, and increased risk of chronic diseases. Health Monitoring application for the detection and prevention of stunting in early childhood. Using the waterfall method, this research produced an application with seven main pages that allow comprehensive monitoring of child growth. Functionality testing showed a 95% success rate in implementing critical features, including navigation, authentication, and child data management. Feedback from 50 early adopters showed an 85% satisfaction rate and a 40% increase in the frequency of child growth monitoring. Key challenges included cross-platform data integration and performance optimization on low-specification devices, which were addressed through the development of a modular architecture and code optimization. The app has the potential to increase early detection of growth problems by 30%, enabling timely interventions to improve children's long-term health outcomes. Implementation simulations show a potential reduction in stunting prevalence of 5% within 3 years if widely used. Although limited to user interface development, this research lays the foundation for further development, including the integration of advanced data analysis and nutrition improvement features, which are projected to increase the effectiveness of stunting detection and intervention by up to 50%.
Co-Authors Arya, Dionisius Bagus, Ridwan