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All Journal Ceddi Journal of Information System and Technology (JST) Inspiration: Jurnal Teknologi Informasi dan Komunikasi Jurnal Abdimas Cendekiawan Indonesia
Akbar Hendra
Universitas Teknologi Akba Makassar
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Health Professions Library & Information Science Nursing Public Health Social Sciences Other

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Development of Client Server-Based Queuing Applications at The Samsat Gowa Office Arsan Kumala Jaya; Akbar Hendra; Muhammad Sabirin Hadis; Muhammad Rizal; Randy Angriawan; Annisa Nurul Puteri
Ceddi Journal of Information System and Technology (JST) Vol. 1 No. 2 (2022): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (925.604 KB) | DOI: 10.56134/jst.v1i2.19

Abstract

The government has established a SAMSAT (One-Stop Manunggal Administration System) office which has duties in the motor vehicle tax service. Queuing activities make people spend their time waiting. Therefore, it is necessary to create a queuing system that can inform the estimated queue time remotely. The queuing system does not require users to wait physically, so the waiting time needed to queue can be used by taxpayers to carry out their own personal and work activities that are more useful. Queuing application development aims to develop queuing service features from previous applications which only provide queued information on taxpayers. Features developed in the form of queuing data processing with different activities, monitoring information on time and queue status periodically. The research method used is SDLC (Software Development Life Cycle) with a prototype model. The test results using the Gray Box Testing method show that queuing applications in government agencies providing motorized vehicle tax services have been successfully developed.
Web-Based Rapid Application Development (RAD) for Marketing of Ende Lio Traditional Bond Motif Woven Fabric Neneng Awaliah; Akbar Hendra; Amran Amiruddin; Daud Daud; Akbar Iskandar
Ceddi Journal of Information System and Technology (JST) Vol. 2 No. 1 (2023): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v2i1.36

Abstract

The marketing of Ende Lio traditional bond motif ikat woven fabric predominantly relies on conventional market stalls. However, with the growing demand for diverse products derived from ikat weaving, such as garments, bags, tunics, and accessories, there is a need for a more efficient marketing strategy. This study aims to implement Rapid Application Development (RAD) and design a web-based marketing system for the Marketing of Ende Lio Traditional Bond Motif Woven Fabric to enhance accessibility and increase public awareness of the products. The objectives of this research include developing an intuitive and interactive web-based platform for marketing Ende Lio's woven ikat fabrics, improving the efficiency of the marketing process, ensuring a seamless user experience, and evaluating the system's impact on sales and customer satisfaction. The RAD methodology, renowned for its incremental and time-constrained software development approach, was employed. The design process involved the use of Use Case Diagrams, and unit testing was conducted to validate the functionality and performance of the application.
Lightweight Deep Learning for Mobile Crab Larvae Detection in Aquaculture Environments Furqan Zakiyabarsi; Yabes Dwi Nugroho; Muhammad Muhaimin Nur; Muhammad Ulil Amri; Akbar Hendra; Arizal Arizal
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 15 No. 2 (2025): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

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Abstract

Efficient monitoring of crab larvae remains a critical challenge in aquaculture, as early-stage mortality is high due to the lack of practical and scalable detection systems. Although deep learning-based object detection has demonstrated strong performance for small aquatic organisms, many existing approaches are computationally intensive and unsuitable for mobile or resource-constrained hatchery environments. This study investigates the feasibility of lightweight deep learning models for mobile crab larvae detection in aquaculture environments. Using crab larvae at the zoea stage as a case study, lightweight YOLO-based architectures are evaluated to analyze the trade-off between detection accuracy and computational efficiency. The results indicate that extremely lightweight models offer minimal memory requirements and high deployment feasibility, but with limited detection accuracy. In contrast, more advanced lightweight architectures achieve substantially higher accuracy at the cost of increased model size and computational complexity. Rather than focusing solely on algorithmic comparison, this work emphasizes deployment-oriented insights for selecting appropriate lightweight detection models under practical mobile constraints. The findings demonstrate that lightweight deep learning provides a viable foundation for mobile aquaculture applications and establish a baseline for future optimization toward efficient on-device deployment.
Empowering Digital Philanthropy through the Development of a Social Media Application for Cross-Country Donations at PT. Lasari Kopi Muh Riyaldi Pratama; Neneng Awaliyah; Taufik Arsandi; Muhammad Irfan Bin Zulkifli; Akbar Hendra; Kamaruddin Kamaruddin
Jurnal Abdimas Cendekiawan Indonesia Vol. 2 No. 3 (2025): September
Publisher : Yayasan Cendekiawan Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jaci.v2i3.147

Abstract

The rapid advancement of digital technology has changed how people interact and collaborate, positioning social media as a strategic medium for social engagement and humanitarian action. This community service project was conducted at PT. Lasari Kopi Makassar, aims to develop a social-media-based application for cross-country social donations that integrates technology, transparency, and social participation. Using a Research and Development (R&D) approach, the project began with a needs analysis involving interviews and surveys of employees, community partners, and digital volunteers. The data were used to design the application’s main features, including segmented registration, campaign creation, and integration with secure cross-border payment systems. The application was built using the Flutter multiplatform framework to ensure responsive performance across devices. Testing was carried out directly at PT. Lasari Kopi’s Digital Innovation Division served as the pilot site for training and user trials. The results show that the application effectively facilitated donation activities, simplified user access through a login-optional interface, and encouraged social participation through interactive campaign and collaboration features. Participants reported positive experiences regarding usability, security, and transaction flexibility. This program demonstrates the synergy between academia and industry in applying digital innovation to social empowerment. The collaboration with PT. Lasari Kopi illustrates how technology can support corporate social responsibility (CSR) initiatives and strengthen the culture of giving. The developed application has strong potential to become a scalable solution for promoting digital philanthropy and global social solidarity in the modern era.
Co-Authors Akbar Iskandar Amran Amiruddin Annisa Nurul Puteri ARIZAL Arsan Kumala Jaya Daud Daud Furqan Zakiyabarsi Kamaruddin Kamaruddin Muh Riyaldi Pratama Muhammad Irfan Bin Zulkifli Muhammad Muhaimin Nur Muhammad Rizal Muhammad Sabirin Hadis Muhammad Ulil Amri Neneng Awaliah Neneng Awaliyah Randy Angriawan Taufik Arsandi Yabes Dwi Nugroho